Insights for your outreach

Department Breakdown

Top Machine Learning Companies

Name: Top Machine Learning Companies
Creator: Surfe
Published: 2025-10-01 17:31:56
License: https://creativecommons.org/licenses/by-nc/4.0/

Last updated:01 Oct 2025

Created by Surfe | Views: 10

Market context behind this list

Sort by

Companies

Key Contacts

Annual Revenue

Funding

Company Growth

Team Growth

Hiring Status

Clear all

Annual Revenue

0-1M

1-10M

10-50M

50-100M

100-500M

500-1,000M

>1,000M

Clear all

Company Growth

1-20%

20-50%

50-100%

100%+

Clear all

Team Growth

1-20%

20-50%

50-100%

100%+

Clear all

Location

Framingham, Massachusetts, United States

Redwood City, California, United States

Amsterdam, Netherlands

Moscow, Russia

Los Angeles, California, United States

Plano, Texas, United States

Norwalk, Connecticut, United States

Coral Gables, Florida, United States

Menlo Park, United States

Hyderabad, India

Bengaluru, India

Clayton, North Carolina, United States

Levallois-Perret, France

Waltham, Massachusetts, United States

Bellevue, Washington, United States

BrainLand,

New Taipei, Taiwan

Durham, North Carolina, United States

Buffalo, New York, United States

Chaoyang District, China

Pittsburgh, Pennsylvania, United States

Claymont, 2093 PHILADELPHIA PIKE #1395, United States

San Jose, California, United States

Electronic City, India

Newark, United States

Pacifica, California, United States

Wepion, Belgium

Kolkata, India

Livonia, DETROIT, Michigan, United States

Los Gatos, California, United States

New Delhi, India

Krakow, Poland

San Francisco, California, United States

Seattle, Colorado, United States

San Diego, California, United States

Wixom, Michigan, United States

Glen Allen, Virginia, United States

Taipei, Taiwan

New York, United States

Santa Clara, California, United States

London, United Kingdom

Washington, District of Columbia, United States

San Mateo, California, United States

Sunnyvale, California, United States

Singapore, Singapore

Seattle, Washington, United States

Pleasanton, California, United States

Washington, United States

Cambridge, Massachusetts, United States

Burnaby, Canada

Chicago, United States

Falls Church, United States

Oviedo, Spain

Quezon City, Philippines

Cambridge, United Kingdom

Vancouver, Canada

Old Toronto, Canada

Somerville, Massachusetts, United States

Palo Alto, California, United States

San Francisco, CA, United States

Chelmsford, Massachusetts, United States

Rome, Italy

Cary, United States

City of Edinburgh, United Kingdom

Richland, Washington, United States

Hong Kong,

Madrid, Spain

Detroit, Michigan, United States

New York, New York, United States

Austin, Texas, United States

Natick, Massachusetts, United States

Clear all

	Companies		Key Contacts		Annual Revenue	Funding	Company Growth	Management Team Growth	Hiring Status	Tech Stack	HQ Location
1	Slalom Consulting	7,784	Senior Delivery Principal, Director - Global Salesforce at Slalom, Senior Quality Architect	>100	$500-1,000M	$1M raised Venture Round, 04-12-2013	📊 Modest Growth: 2.29% 7,610 ↗ 7,784 Employees	📊 Modest Growth: 4.63% 1,081 ↗ 1,131 Employees	Actively Hiring	11	Seattle, Washington, United States
2	CCC Intelligent Solutions InsurTech	1,310	Software Engineering Manager, Data Science Intern, Marketing Manager	>100	$500-1,000M		📊 Modest Growth: 1.71% 1,288 ↗ 1,310 Employees	📊 Modest Growth: 4.55% 22 ↗ 23 Employees	Actively Hiring	32	Chicago, United States
3	Meltwater Analytics	1,958	Customer Success Manager, Senior Software Development Engineer, Account Executive II, Growth	>100	$500-1,000M		📊 Modest Growth: 0.1% 1,956 ↗ 1,958 Employees	📊 Modest Growth: 3.23% 62 ↗ 64 Employees	Actively Hiring	48	San Francisco, California, United States
4	Arm Artificial Intelligence	6,864	Verification Engineer, Recruitment Coordinator, Commercial Data & Reporting Manager	>100	$500-1,000M		📊 Modest Growth: 1.55% 6,759 ↗ 6,864 Employees	📊 Modest Growth: 2.33% 43 ↗ 44 Employees	Actively Hiring	69	Cambridge, United Kingdom
5	TELUS Digital Artificial Intelligence	18,716	Agent service à la clientèle, Travel Consultant, Call Center Supervisor	+68	$500-1,000M		📉 Negative Growth: -0.95% 18,895 ↘ 18,716 Employees	📊 Modest Growth: 1.96% 51 ↗ 52 Employees	Actively Hiring	27	Vancouver, Canada
6	ServiceNow Artificial Intelligence	22,456	Enterprise Sales Associate, Senior Sales Director, Business Operations Manager - Product & Solutions Marketing	>100	$>1,000M		📊 Modest Growth: 2.44% 21,922 ↗ 22,456 Employees	📊 Modest Growth: 1.74% 287 ↗ 292 Employees	Actively Hiring	18	Santa Clara, California, United States
7	Slalom Build Software	1,104	Senior Architect, Architect, Quality Engineering, Quality Engineering Architect	>100	$500-1,000M		📊 Modest Growth: 0.55% 1,098 ↗ 1,104 Employees	📊 Modest Growth: 1.63% 123 ↗ 125 Employees	Actively Hiring	10	Seattle, Colorado, United States
8	Atento SaaS	25,044	Centro de atención telefónica, Gestor de Cliente, Analista de chargeback	>100	$>1,000M	$37M raised Post-IPO Debt, 08-31-2023	📉 Negative Growth: -0.72% 25,226 ↘ 25,044 Employees	📊 Modest Growth: 1.43% 70 ↗ 71 Employees	Actively Hiring	25	Madrid, Spain
9	Workday Artificial Intelligence	16,007	Senior Customer Success Learning & Enablement Program Manager, Quality Assurance Engineer, Renewals Manager	>100	$>1,000M	$85M raised Series F, 10-24-2011	📉 Negative Growth: -0.76% 16,129 ↘ 16,007 Employees	📊 Modest Growth: 1.29% 310 ↗ 314 Employees	Actively Hiring	24	Pleasanton, California, United States
10	Teradata Analytics	5,804	Senior Cloud Database Software Engineer, Service Experience Manager, Teamleiter-Supervisor Technical Support Specialist	>100	$500-1,000M		📊 Modest Growth: 0.87% 5,754 ↗ 5,804 Employees	📊 Modest Growth: 1.28% 78 ↗ 79 Employees	Actively Hiring	20	San Diego, California, United States
11	General Dynamics Information Technology Artificial Intelligence	15,226	Program Manager, Systems Administrator, Information Technology Quality Assurance Analyst	>100	$500-1,000M		📉 Negative Growth: -0.19% 15,255 ↘ 15,226 Employees	📊 Modest Growth: 0.88% 114 ↗ 115 Employees	Actively Hiring	26	Falls Church, United States
12	Reply Artificial Intelligence	2,317	Financial Services, Talent Acquisition Consultant, Admin	>100	$500-1,000M		📉 Negative Growth: -0.52% 2,329 ↘ 2,317 Employees	📊 Modest Growth: 0.8% 125 ↗ 126 Employees	Actively Hiring	11	London, United Kingdom
13	Datamatics Analytics	3,459	Quality Assurance Supervisor, Software Developer, Consultant (Drupal developer)	>100	$500-1,000M		📉 Negative Growth: -0.57% 3,479 ↘ 3,459 Employees	📊 Modest Growth: 0.29% 348 ↗ 349 Employees	Actively Hiring	16	Livonia, DETROIT, Michigan, United States
14	Iqvia Artificial Intelligence	48,968	Operation Effectiveness Specialist, Contracts & Proposals Manager, Consultant	>100	$500-1,000M	$500M raised Post-IPO Debt, 11-14-2023	📊 Modest Growth: 0.2% 48,870 ↗ 48,968 Employees	📊 Modest Growth: 0.21% 485 ↗ 486 Employees	Actively Hiring	15	Durham, North Carolina, United States
15	ziptie.dev Internet	5	Junior No-Code Developer, Co-Founder, Co-Founder, CEO	+3	$500-1,000M		⏸️ No Growth: 0% 5 Employees	⏸️ No Growth: 0% 3 Employees	Not Hiring	40	Austin, Texas, United States
16	Infogain Analytics	3,481	Consultant, Lead Developer, Associate Software Engineer	>100	$500-1,000M	$63M raised Private Equity Round, 08-12-2015	📉 Negative Growth: -0.6% 3,502 ↘ 3,481 Employees	⏸️ No Growth: 0% 95 Employees	Actively Hiring	23	Los Gatos, California, United States
17	Splunk Artificial Intelligence	7,053	Assigned Expert Consultant, DHA Account Executive, Senior Director, Global Security Operations	>100	$500-1,000M		📊 Modest Growth: 0.01% 7,052 ↗ 7,053 Employees	⏸️ No Growth: 0% 74 Employees	Actively Hiring	13	San Francisco, California, United States
18	Aimia Artificial Intelligence	205	Database Platform Engineer, Senior Project Manager, Customer Service Rep	>100	$>1,000M		⏸️ No Growth: 0% 205 Employees	⏸️ No Growth: 0% 11 Employees	Not Hiring	23	Old Toronto, Canada
19	mobi.ai Artificial Intelligence	56	Senior Product Manager, Vice President, Senior Data Scientist	+51	-	$21M raised Series A, 10-27-2021	⏸️ No Growth: 0% 56 Employees	⏸️ No Growth: 0% 6 Employees	Actively Hiring	9	Somerville, Massachusetts, United States
20	Satmetrix Customer Service	27	JEFE DPTO, Development Manager, project lead	+80	$500-1,000M	$1M raised Venture Round, 09-01-2013	⏸️ No Growth: 0% 27 Employees	⏸️ No Growth: 0% 1 Employees	Not Hiring	1	Pacifica, California, United States
21	Clarity Systems Software	3	Sales, Software Consultant, SISTEMAS	+16	-		⏸️ No Growth: 0% 3 Employees	⏸️ No Growth: 0% Employees	Not Hiring	0	-
22	Mobile Insight E-Commerce	26	Testeur QA, Director, Head of Strategic Partnerships, SaaS Key Account Manager	+26	$500-1,000M		📉 Negative Growth: -3.7% 27 ↘ 26 Employees	⏸️ No Growth: 0% 4 Employees	Not Hiring	25	Coral Gables, Florida, United States
23	Amazon's Mechanical Turk Software	289	Independent Contractor, Independent Contractor, ONLINE JOB	>100	$500-1,000M		📉 Negative Growth: -0.69% 291 ↘ 289 Employees	⏸️ No Growth: 0% 1 Employees	Not Hiring	10	Wepion, Belgium
24	How Youtube Works Software	10	SDR, Operations and Client Success Manager, Co-Founder	+8	$500-1,000M		⏸️ No Growth: 0% 10 Employees	⏸️ No Growth: 0% 1 Employees	Not Hiring	52	Clayton, North Carolina, United States
25	Bettermaps Geospatial	1	Founder and CEO	+1	$500-1,000M	$214k raised Pre Seed Round, 05-29-2023	⏸️ No Growth: 0% 1 Employees	⏸️ No Growth: 0% 1 Employees	Not Hiring	41	Oviedo, Spain
26	Potion Artificial Intelligence	8	Co-Founder, CEO, Vice President	+2	$500-1,000M		📉 Negative Growth: -11.11% 9 ↘ 8 Employees	⏸️ No Growth: 0% 3 Employees	Not Hiring	42	San Francisco, California, United States
27	Nhit Information Technology	6	INSPIRE Intern, Deputy Manager, Healthcare Data Analyst	+10	$500-1,000M		📈 Strong growth: 20% 5 ↗ 6 Employees	⏸️ No Growth: 0% 2 Employees	Not Hiring	32	Washington, United States
28	Kotlin Artificial Intelligence	10	Product Manager Products, Outreach, Frontend Developer	+3	$500-1,000M		⏸️ No Growth: 0% 10 Employees	⏸️ No Growth: 0% Employees	Not Hiring	19	Kolkata, India
29	Apmp Artificial Intelligence	55	Member Board of Directors, Caixa, Content Manager	+71	$500-1,000M		⏸️ No Growth: 0% 55 Employees	⏸️ No Growth: 0% 7 Employees	Not Hiring	10	Washington, District of Columbia, United States
30	vast.ai Software	18	Product Designer, Technical Support Engineer, Member of Technical Staff	+32	$500-1,000M		📊 Modest Growth: 5.88% 17 ↗ 18 Employees	⏸️ No Growth: 0% 1 Employees	Actively Hiring	30	Los Angeles, California, United States
31	Freshworks Artificial Intelligence	4,594	Onboarding Specialist, Senior Marketing Manager, Senior Manager - Sales ( North America)	>100	$500-1,000M		📉 Negative Growth: -0.86% 4,634 ↘ 4,594 Employees	⏸️ No Growth: 0% 49 Employees	Actively Hiring	58	San Mateo, California, United States
32	AudaExplore Software	97	Account Manager, IT Specialist, Internal IT & Communication, accounts payable specialist	>100	-		📉 Negative Growth: -1.02% 98 ↘ 97 Employees	⏸️ No Growth: 0% 3 Employees	Not Hiring	0	San Diego, California, United States
33	Ted Artificial Intelligence	2,123	Podcast Host, Vice President, Team Manager	>100	$500-1,000M		📉 Negative Growth: -0.7% 2,138 ↘ 2,123 Employees	⏸️ No Growth: 0% 32 Employees	Actively Hiring	50	Buffalo, New York, United States
34	BlastPoint Analytics	43	Vice President of Global Sales, Data Engineer, Marketing Director	+47	$500-1,000M		📊 Modest Growth: 10.26% 39 ↗ 43 Employees	⏸️ No Growth: 0% 5 Employees	Not Hiring	32	Pittsburgh, Pennsylvania, United States
35	Marketech Apac Marketing	50	Regional Sales Manager, Regional Editor, Project Associate	+49	$500-1,000M		📉 Negative Growth: -3.85% 52 ↘ 50 Employees	⏸️ No Growth: 0% 1 Employees	Not Hiring	37	Quezon City, Philippines
36	Ubiquity Ventures Artificial Intelligence	19	Extended Team Member, Ubiquity Extended Team Member, Investor	+4	$500-1,000M		⏸️ No Growth: 0% 19 Employees	⏸️ No Growth: 0% Employees	Not Hiring	11	Palo Alto, California, United States
37	Dynata Analytics	2,341	Data processor, Data programer, Technical Product Manager	>100	$500-1,000M	$31M raised Debt Financing, 05-28-2024	📉 Negative Growth: -0.47% 2,352 ↘ 2,341 Employees	⏸️ No Growth: 0% 30 Employees	Actively Hiring	19	Plano, Texas, United States
38	TrendSpider Analytics	17	Customer Success Specialist, Support Lead, Full-stack Developer	+18	$500-1,000M		⏸️ No Growth: 0% 17 Employees	⏸️ No Growth: 0% 2 Employees	Not Hiring	18	Chicago, United States
39	Genesys Artificial Intelligence	5,571	Junior Analyst, Lead Engineer, Senior User Experience Researcher	>100	$500-1,000M	$580M raised Private Equity Round, 12-06-2021	📉 Negative Growth: -0.2% 5,582 ↘ 5,571 Employees	⏸️ No Growth: 0% 80 Employees	Actively Hiring	25	Menlo Park, United States
40	Mesh Application Performance Management	34	Customer Success Manager, RevOps - Sales Operations Associate, SDE	+50	$500-1,000M	$11M raised Series A, 04-13-2022	⏸️ No Growth: 0% 34 Employees	⏸️ No Growth: 0% 3 Employees	Actively Hiring	39	San Jose, California, United States
41	IMocha Skill Assessment	245	Customer Success Executive, Senior Project Associate, Student Intern	>100	$500-1,000M	$14M raised Series A, 01-27-2022	📉 Negative Growth: -4.67% 257 ↘ 245 Employees	⏸️ No Growth: 0% 3 Employees	Actively Hiring	18	Claymont, 2093 PHILADELPHIA PIKE #1395, United States
42	Devoteam Artificial Intelligence	5,698	Head of Trust & Cyber Security, Germany, Senior Salesforce Developer, Spécialiste systèmes décisionnels	>100	$500-1,000M		📉 Negative Growth: -0.35% 5,718 ↘ 5,698 Employees	⏸️ No Growth: 0% 118 Employees	Actively Hiring	23	Levallois-Perret, France
43	Kawasaki Robotics Artificial Intelligence	153	Software Engineer, Saleswoman, Customer Service Eng.	>100	$500-1,000M		📉 Negative Growth: -1.29% 155 ↘ 153 Employees	⏸️ No Growth: 0% 2 Employees	Actively Hiring	17	Wixom, Michigan, United States
44	Abbyy Artificial Intelligence	634	Business Development Director, Head of Global Projects Department, Principal Engineer, Knowledge & Community Manager	>100	$500-1,000M		📉 Negative Growth: -0.31% 636 ↘ 634 Employees	⏸️ No Growth: 0% 16 Employees	Actively Hiring	26	Austin, Texas, United States
45	MuleSoft Artificial Intelligence	1,345	Software Engineer, Account Executive \| Healthcare & Life Sciences, Regional Executive - Office of the CTO	>100	$500-1,000M		📉 Negative Growth: -0.74% 1,355 ↘ 1,345 Employees	⏸️ No Growth: 0% 26 Employees	Actively Hiring	21	San Francisco, California, United States
46	Stability AI Artificial Intelligence	139	VP of Community and Business Development, Director, Associate General Counsel, Full Stack Engineer	>100	$500-1,000M	$80M raised Venture Round, 06-25-2024	📉 Negative Growth: -2.11% 142 ↘ 139 Employees	⏸️ No Growth: 0% 5 Employees	Actively Hiring	27	London, United Kingdom
47	Lionbridge Artificial Intelligence	5,428	Freelance Interpreter, ES-MX Localization QA Specialist, Product Owner	>100	$500-1,000M	$12M raised Venture Round, 03-15-1999	📉 Negative Growth: -0.49% 5,455 ↘ 5,428 Employees	⏸️ No Growth: 0% 28 Employees	Actively Hiring	19	Waltham, Massachusetts, United States
48	Mit research group Life Science	10,984	Assistant Professor, Graduate Student, MIT, Research Affiliate, Dept of Civil & Environmenthal Engineering	>100	$500-1,000M		📉 Negative Growth: -0.24% 11,010 ↘ 10,984 Employees	⏸️ No Growth: 0% 76 Employees	Not Hiring	74	Cambridge, Massachusetts, United States
49	SAS Analytics	11,279	Médico, gestionnaire académique, Consultant	>100	$500-1,000M	$1M raised Grant, 11-08-2022	📊 Modest Growth: 0.01% 11,278 ↗ 11,279 Employees	⏸️ No Growth: 0% 153 Employees	Actively Hiring	4	Cary, United States
50	Planet Home Artificial Intelligence	5	Coach, Co-Founder, CEO, Network Director	+6	$500-1,000M		⏸️ No Growth: 0% 5 Employees	⏸️ No Growth: 0% 2 Employees	Not Hiring	41	San Francisco, California, United States
51	MSX International Software	2,810	Especialista en soluciones digitales Postventa en AGCO, Tecnico mecânico de rodagem, Operador Financeiro	>100	$500-1,000M		📉 Negative Growth: -0.32% 2,819 ↘ 2,810 Employees	⏸️ No Growth: 0% 21 Employees	Actively Hiring	37	Detroit, Michigan, United States
52	Juniper Networks Artificial Intelligence	9,739	Manager, chengxuyuan, Accountant	>100	$>1,000M	$4M raised Post-IPO Equity, 01-27-2021	📉 Negative Growth: -0.28% 9,766 ↘ 9,739 Employees	⏸️ No Growth: 0% 73 Employees	Actively Hiring	22	Sunnyvale, California, United States
53	GoTranscript Translation Service	343	Freelance Translator, Transcriptionist, Translator	>100	$500-1,000M		📉 Negative Growth: -0.29% 344 ↘ 343 Employees	⏸️ No Growth: 0% 1 Employees	Not Hiring	10	City of Edinburgh, United Kingdom
54	Computer Generated Solutions Software	1,983	Technical Specialist, Technical Support Representative, Developer Support Engineer	>100	$500-1,000M		📉 Negative Growth: -1.1% 2,005 ↘ 1,983 Employees	⏸️ No Growth: 0% 29 Employees	Actively Hiring	30	New York, New York, United States
55	Pacific Northwest National Laboratory Life Science	4,467	Research Scientist, Nuclear Engineer, Senior Contracts Specialists	>100	$500-1,000M		📉 Negative Growth: -0.29% 4,480 ↘ 4,467 Employees	⏸️ No Growth: 0% 61 Employees	Actively Hiring	12	Richland, Washington, United States
56	Brooks Automation Industrial Automation	950	sales account manager, Vice President Strategy and Business Development, Senior Manufacturing Engineer	>100	$500-1,000M		📉 Negative Growth: -0.21% 952 ↘ 950 Employees	⏸️ No Growth: 0% 14 Employees	Actively Hiring	14	Chelmsford, Massachusetts, United States
57	FactSet Analytics	8,554	Human Resources Associate, Corporate Support Engineer, Specialist, Client Solution	>100	$>1,000M		📊 Modest Growth: 0.49% 8,512 ↗ 8,554 Employees	⏸️ No Growth: 0% 137 Employees	Actively Hiring	10	Norwalk, Connecticut, United States
58	Marktel Information Technology	809	Operador telefónico, TELEOPERADOR-TRAMITADOR, teleoperador	>100	$500-1,000M		📉 Negative Growth: -0.98% 817 ↘ 809 Employees	⏸️ No Growth: 0% 4 Employees	Not Hiring	26	Madrid, Spain
59	Cheetah Mobile Software	531	Marketing Manager, Senior Director of Engineering, Android工程师	>100	$500-1,000M	$18M raised Series A, 07-01-2011	⏸️ No Growth: 0% 531 Employees	⏸️ No Growth: 0% 11 Employees	Not Hiring	9	Chaoyang District, China
60	AppsFlyer Analytics	1,334	Head of Human Resources, Lead Technical Specialist, Senior Solutions Architect	>100	$500-1,000M		📉 Negative Growth: -1.4% 1,353 ↘ 1,334 Employees	⏸️ No Growth: 0% 22 Employees	Actively Hiring	29	San Francisco, CA, United States
61	Asgn Artificial Intelligence	47	Senior Staff Accountant, Certified Phlebotomy Technician, RN	>100	$>1,000M	$1,000M raised Post-IPO Debt, 08-31-2023	⏸️ No Growth: 0% 47 Employees	⏸️ No Growth: 0% 13 Employees	Not Hiring	13	Glen Allen, Virginia, United States
62	Quantum Analytics	860	Quality Program Manager, Logistics Officer, Software Developer	>100	$500-1,000M	$200M raised Post-IPO Equity, 01-27-2025	📉 Negative Growth: -0.23% 862 ↘ 860 Employees	⏸️ No Growth: 0% 36 Employees	Actively Hiring	21	San Jose, California, United States
63	Optimizely Artificial Intelligence	1,254	Application Support Engineer, Senior Quality Assurance Engineer, Software Engineer II	>100	$500-1,000M	$1,100M raised Debt Financing, 12-05-2024	📊 Modest Growth: 0.64% 1,246 ↗ 1,254 Employees	⏸️ No Growth: 0% 17 Employees	Actively Hiring	16	New York, New York, United States
64	civils.ai Software	5	Founder, Chief Technology Officer, Co-founder and COO	+6	$500-1,000M	$200k raised Pre Seed Round, 01-15-2023	⏸️ No Growth: 0% 5 Employees	⏸️ No Growth: 0% 3 Employees	Not Hiring	16	Singapore, Singapore
65	Amd Artificial Intelligence	21,832	Product Development Engineer, Principal Member of Technical Staff, Sr Test Engineer	>100	$>1,000M		📊 Modest Growth: 0.72% 21,675 ↗ 21,832 Employees	⏸️ No Growth: 0% 192 Employees	Actively Hiring	13	Santa Clara, California, United States
66	AlphaSights Consulting	2,708	Manager, Private Equity Clients, Summer Associate, Client Services, Transcriptionist	>100	$500-1,000M		📉 Negative Growth: -0.11% 2,711 ↘ 2,708 Employees	⏸️ No Growth: 0% 42 Employees	Actively Hiring	23	London, United Kingdom
67	Cognex Artificial Intelligence	1,908	Youth Mentor, Sales Engineer, Director	>100	$500-1,000M		📊 Modest Growth: 0.1% 1,906 ↗ 1,908 Employees	⏸️ No Growth: 0% 13 Employees	Actively Hiring	25	Natick, Massachusetts, United States
68	PatSnap Artificial Intelligence	358	PM, Patent Engineer, Digital Marketing Strategist	>100	$500-1,000M	$300M raised Series E, 03-16-2021	📊 Modest Growth: 2.29% 350 ↗ 358 Employees	⏸️ No Growth: 0% 10 Employees	Actively Hiring	34	Singapore, Singapore
69	Micro-Star International Co., Ltd Hardware	1,255	Field Application Engineer, Notebook Product Manager- Spain and Portugal Market, Account Manager	>100	$500-1,000M		📊 Modest Growth: 0.24% 1,252 ↗ 1,255 Employees	⏸️ No Growth: 0% 38 Employees	Actively Hiring	30	New Taipei, Taiwan
70	Gigabyte Artificial Intelligence	694	PM, 經理, factory worker	>100	$500-1,000M		📊 Modest Growth: 0.58% 690 ↗ 694 Employees	⏸️ No Growth: 0% 30 Employees	Not Hiring	24	New Taipei, Taiwan
71	Crossover Human Resources	387	Siebel Developer, Web Content Writer, Business Executive	>100	$500-1,000M		⏸️ No Growth: 0% 387 Employees	⏸️ No Growth: 0% 24 Employees	Actively Hiring	17	Austin, Texas, United States
72	Advantech Information Technology	1,744	Global Marketing Assistant Manager, 市场营销, Senior Software Engineer	>100	$500-1,000M		📉 Negative Growth: -0.29% 1,749 ↘ 1,744 Employees	⏸️ No Growth: 0% 39 Employees	Actively Hiring	37	Taipei, Taiwan
73	Computerworld Artificial Intelligence	226	Graphic Designer, Police Officer, Computer Scientist	>100	$500-1,000M		📉 Negative Growth: -0.44% 227 ↘ 226 Employees	⏸️ No Growth: 0% 7 Employees	Not Hiring	38	Framingham, Massachusetts, United States
74	Intel Technologies India Artificial Intelligence	168	System Validation Leader, System Validation Engineer, FPGA prototyping Engineer	>100	$500-1,000M		📉 Negative Growth: -0.59% 169 ↘ 168 Employees	⏸️ No Growth: 0% 1 Employees	Not Hiring	14	Bengaluru, India
75	Arista Networks Information Technology	3,668	Software Engineer, Manufacturing Planning Manager, Strategic Accounts - Financial Services	>100	$>1,000M	$2M raised Post-IPO Debt, 05-27-2015	📊 Modest Growth: 0.25% 3,659 ↗ 3,668 Employees	⏸️ No Growth: 0% 23 Employees	Actively Hiring	36	Santa Clara, California, United States
76	Nintex Information Technology	890	Senior Software Engineer, adam, Principal Developer	>100	$500-1,000M		📉 Negative Growth: -1.33% 902 ↘ 890 Employees	⏸️ No Growth: 0% 19 Employees	Actively Hiring	23	Bellevue, Washington, United States
77	Salesforce CRM	62,362	Director- Business Consulting, Principal Engineer, Senior Member Of Technical Staff	>100	$>1,000M		📊 Modest Growth: 0.21% 62,234 ↗ 62,362 Employees	⏸️ No Growth: 0% 1,080 Employees	Actively Hiring	20	San Francisco, California, United States
78	Wondershare Software Software	277	Manager, Sales Manager, Software Engineer	>100	$500-1,000M	$10M raised Series B, 06-01-2011	📉 Negative Growth: -0.36% 278 ↘ 277 Employees	⏸️ No Growth: 0% 3 Employees	Actively Hiring	14	Burnaby, Canada
79	Interesting Engineering Artificial Intelligence	230	Broking dead cars, Supervisor, Engineer	>100	$500-1,000M		📉 Negative Growth: -1.29% 233 ↘ 230 Employees	⏸️ No Growth: 0% 4 Employees	Not Hiring	77	New York, New York, United States
80	Nvidia Artificial Intelligence		Senior Business System Analyst, Software Engineer, Senior Data Engineer	>100	$>1,000M		⏸️ No Growth: 0% Employees	⏸️ No Growth: 0% Employees	Not Hiring	38	Santa Clara, California, United States
81	Qualcomm Semiconductor	163	Senior Lead Engineer, Engineer Automation Testing, Senior Staff Software Engineer	>100	$>1,000M		📉 Negative Growth: -0.61% 164 ↘ 163 Employees	⏸️ No Growth: 0% 1 Employees	Not Hiring	16	San Diego, California, United States
82	EdgeVerve Information Technology	1,839	Technology Analyst, Senior Software Engineer, Product Development Intern	>100	$500-1,000M		📉 Negative Growth: -0.33% 1,845 ↘ 1,839 Employees	⏸️ No Growth: 0% 10 Employees	Actively Hiring	25	Electronic City, India
83	South China Morning Post Artificial Intelligence	619	Director, Classified Advertising, Sales Co-ordinator, Deputy Digital Editor	>100	$500-1,000M		📉 Negative Growth: -0.48% 622 ↘ 619 Employees	⏸️ No Growth: 0% 12 Employees	Actively Hiring	32	Hong Kong,
84	BrainDAO Artificial Intelligence	3	Software Engineer	+1	$500-1,000M		⏸️ No Growth: 0% 3 Employees	⏸️ No Growth: 0% Employees	Not Hiring	6	BrainLand,
85	Endava Artificial Intelligence	7,500	Senior QA Automation Engineer (SE), Data Engineer, Senior Software Developer	>100	$500-1,000M	$424M raised Post-IPO Debt, 02-09-2023	📉 Negative Growth: -0.77% 7,558 ↘ 7,500 Employees	⏸️ No Growth: 0% 52 Employees	Actively Hiring	25	London, United Kingdom
86	AlphaSense Analytics	1,646	Senior Director of Corporate Sales, Account Executive, Financial Services, Enterprise Account Executive, Corporate	>100	$500-1,000M	$650M raised Series F, 06-11-2024	📊 Modest Growth: 2.55% 1,605 ↗ 1,646 Employees	⏸️ No Growth: 0% 12 Employees	Actively Hiring	24	New York, New York, United States
87	ValueLabs Artificial Intelligence	5,810	Analyst - QE, Senior Software Engineer, Lead - HRBP	>100	$500-1,000M		📉 Negative Growth: -0.17% 5,820 ↘ 5,810 Employees	⏸️ No Growth: 0% 99 Employees	Actively Hiring	27	Hyderabad, India
88	Box Artificial Intelligence	2,405	Large Enterprise Account Executive \| Financial Services \| FSI \| FinServ, Director Of Data Services, Senior Engineering Manager	>100	$500-1,000M	$400M raised Post-IPO Debt, 09-18-2024	📉 Negative Growth: -0.08% 2,407 ↘ 2,405 Employees	⏸️ No Growth: 0% 46 Employees	Actively Hiring	28	Redwood City, California, United States
89	Dept® Artificial Intelligence	2,924	Creative Strategist, Senior Producer, Director & Partner	>100	$500-1,000M		📊 Modest Growth: 0.76% 2,902 ↗ 2,924 Employees	⏸️ No Growth: 0% 46 Employees	Actively Hiring	13	Amsterdam, Netherlands
90	Sanas Speech Recognition	162	Technical Support Engineer, Director - Customer Success, Founding Member	>100	$500-1,000M	$14M raised Venture Round, 03-23-2023	📉 Negative Growth: -0.61% 163 ↘ 162 Employees	⏸️ No Growth: 0% 8 Employees	Actively Hiring	16	Palo Alto, California, United States
91	SunTec India Analytics	848	Associate, Test Engineer, Administrator	>100	$500-1,000M		📉 Negative Growth: -0.47% 852 ↘ 848 Employees	⏸️ No Growth: 0% 10 Employees	Actively Hiring	21	New Delhi, India
92	Translated Language Learning	1,197	Prompt Engineer / Data annotator, Spanish Lead Reviewer, Freelance Translator	>100	$500-1,000M	$29M raised Private Equity Round, 06-30-2021	📉 Negative Growth: -0.25% 1,200 ↘ 1,197 Employees	⏸️ No Growth: 0% 8 Employees	Actively Hiring	14	Rome, Italy
93	Welocalize Artificial Intelligence	3,119	Linguistic and Functional QA Tester, Search Quality Rater, Ads Quality Rater	>100	$500-1,000M		📉 Negative Growth: -0.42% 3,132 ↘ 3,119 Employees	⏸️ No Growth: 0% 8 Employees	Actively Hiring	24	New York, United States
94	Digital First AI Artificial Intelligence	19	Node.js Developer, Strategy Director, Marketing Project Coordinator	+9	$500-1,000M	$3M raised Seed Round, 07-22-2024	📊 Modest Growth: 5.56% 18 ↗ 19 Employees	⏸️ No Growth: 0% 3 Employees	Not Hiring	21	Krakow, Poland
95	PA Consulting Group Information Technology	3,310	Management consultant, Energy Market and Utilities Consultant, Consultant	>100	$500-1,000M		📊 Modest Growth: 1.38% 3,265 ↗ 3,310 Employees	⏸️ No Growth: 0% 164 Employees	Actively Hiring	17	London, United Kingdom
96	4sysops - The online community for sys and Ai ops Information Technology	3	Freelance Technical Writer, Editor In Chief	+2	$500-1,000M		⏸️ No Growth: 0% 3 Employees	⏸️ No Growth: 0% 1 Employees	Not Hiring	35	-
97	SMMplanner Artificial Intelligence	8	CEO, Chief Marketing Officer, SMM Group Head	+7	$500-1,000M		⏸️ No Growth: 0% 8 Employees	⏸️ No Growth: 0% 2 Employees	Not Hiring	20	Moscow, Russia
98	Cisco Information Technology	70,006	Senior Financial Analyst, Finance Business OpEx, Technical Leader, Marketing Program Manager	>100	$>1,000M		📉 Negative Growth: -0.23% 70,165 ↘ 70,006 Employees	📉 Negative Growth: -0.16% 631 ↘ 630 Employees	Actively Hiring	15	San Jose, California, United States
99	Concentrix Artificial Intelligence	76,714	Senior Customer Service Advisor, Tech Support & Customer service, Associate Director	>100	$500-1,000M	$2,150M raised Post-IPO Debt, 07-19-2023	📉 Negative Growth: -1.4% 77,802 ↘ 76,714 Employees	📉 Negative Growth: -0.18% 569 ↘ 568 Employees	Actively Hiring	50	Newark, United States
100	Intel Artificial Intelligence	77,195	Manufacture Technician, GPU Physical Design Engineer, Field Application Engineer - DSP Specialist	>100	$>1,000M	$5,000M raised Post-IPO Equity, 09-22-2024	📉 Negative Growth: -0.71% 77,745 ↘ 77,195 Employees	📉 Negative Growth: -0.24% 416 ↘ 415 Employees	Actively Hiring	40	Santa Clara, California, United States

245

100

Market Expansion

Top Financial Services Companies in Germany

14 October 2025

By Surfe

199

100

Market Expansion

Top Pharmaceutical Companies in Spain

14 October 2025

By Surfe

193

Market Expansion

Top Energy Companies in Germany

14 October 2025

By Surfe

188

Growth

Top SaaS Companies in Germany

14 October 2025

By Surfe

171

100

Market Expansion

Top Farming Companies in Canada

26 September 2025

By Surfe

169

Intelligent Prospecting, Backed by Signals

Can you identify any trends or changes in buyer behavior among these companies over the last year that could impact your sales strategy?

The hype cooled and the spreadsheet took the wheel. Over the last year, buying at top machine learning companies has shifted from shiny tool hunting to proof of value with cost control. Committees are wider. CFOs and security leaders enter earlier. Pilots are shorter with tighter success criteria. Buyers favor products that integrate cleanly with their stack, can run in their cloud, and are available through hyperscaler marketplaces to burn down committed spend. There is also a strong push to consolidate overlapping tools, reduce per-seat sprawl, and standardize on a few strategic platforms. Open source friendly and bring-your-own-model options get attention, but only when governance and data controls are clear. Summary you can use on a call: speed wins the pilot, trust wins the contract.

This has real revenue impact for you. Deals that used to be won on features now hinge on time to first value, unit economics per workflow, and security review time. Expect more proof requests using the buyer’s own data, more questions about data retention, and heavier legal review around IP and model usage. Plan for two lanes, a self-serve or sandbox that shows impact in days, and an enterprise track that clears security and procurement. They buy with a calculator, a calendar, and a compliance checklist.

Conversation starters you can use:
- What 30-day outcome would make this pilot a no-brainer for your CFO?
- Are you prioritizing marketplace procurement to use committed cloud spend?
- How are you measuring cost per prediction or per task, and what target do you need to hit?
- Do you need the option to run in your cloud or keep data from leaving your environment?
- Which tools are you consolidating this quarter, and what would replace two contracts with one?
- Who signs off on AI risk, and what documentation gets you to yes faster?

Keep it simple. Prove value fast, reduce risk on day one, and meet them where they already buy.

How do these companies evaluate potential solutions, and what criteria weigh most heavily on their purchase decisions?

The fastest way to lose an ML deal is to skip the security review. These buyers start with business fit and hard proof. They ask whether your solution will lift a core KPI like model accuracy, latency, or unit cost per prediction. Then they move straight to risk. They want clear data handling, no training on their data by default, and documented controls. Think SOC 2 Type II, ISO 27001, GDPR, data retention, BYOK, private networking, and audit logs. From there, it is integration and time to value. Can you plug into their stack without months of custom work? Do you support their cloud, their data platform, and their workflow tools? Finally, they care about cost predictability and scale. GPU or capacity guarantees, rate limits, and SLAs will be scrutinized. They will run a short pilot on their data, score you on their benchmarks, and pull in Security, Finance, and Legal before they sign. If it does not move a KPI, it does not move.

What weighs most: risk, speed, and math they can defend. They favor transparent pricing tied to usage or outcomes, portability to avoid lock-in, and a credible roadmap. References at similar scale matter. So do governance and observability to keep auditors and customers calm. Latency is a feature, not a footnote. Downtime means missed SLAs and churn. Spiky inference cost eats margin. Be ready to show TCO over 12 to 24 months, not just month one savings.

Try these talk tracks:
- Which metric gets you promoted this quarter: latency, accuracy, or unit cost?
- What are the must-pass security checks before a pilot can go live?
- How do you calculate cost per 1,000 predictions today, and what target are you aiming for?
- Where does integration block you now: data access, workflow, or deployment?
- Do you need VPC or single tenant to pass customer audits?
- What pilot success criteria would let you take this to procurement in 30 days?
- Whose budget owns the problem, and whose KPI wins if we fix it?

What sales tactics have proven most effective when approaching and engaging with top machine learning companies?

Stop selling AI to AI companies. Sell faster releases and a smaller cloud bill. The teams on that Top Machine Learning Companies list know the tech. What they reward is anything that ships models to production faster, cuts compute spend, or reduces risk on the path to revenue. Lead with a business hypothesis, not a feature list. For example, open with a concrete bet like this: we can trim your model release cycle by two sprints and cut inference cost per customer by 15 percent. Back it with a short proof story and one relevant benchmark. Most ML roadmaps stall not because of math, but because handoffs, data friction, and approvals slow the last mile. Translate that into outcomes they care about. Fewer rollbacks. More experiments per quarter. Lower unit cost per prediction. A simple one liner that lands on calls: if it does not ship faster or cheaper, it does not matter.

Multi thread early. Engage the platform lead for technical fit, the product owner for impact on adoption, and finance for the cost curve. Offer a tight pilot with exit criteria, week by week milestones, and two metrics the buyer can defend in a steering meeting. Bring a security pack up front to avoid stalls. Show integration steps in plain language and commit to a 30 day timeline. Use trigger based outreach that proves you did the homework. Reference their latest release notes, open roles, or public talks to infer pain. Hiring for data governance signals compliance pressure. A spike in GPU posts signals cost scrutiny. Another sticky line for your notepad: AI teams buy proof of speed to value, not promises of magic.

Conversation starters you can drop into emails or calls:
- What is the bottleneck between model sign off and going live, and what does each week of delay cost the business?
- Where does your cloud bill surprise you most, training, inference, or data movement?
- How many experiments make it to customers each quarter, and what would a 20 percent lift add to pipeline or retention?
- When models drift, what is the playbook, and how long until customers feel it?

How do the top machine learning companies typically structure their decision-making units, and who are the key stakeholders?

Here is the short answer your team can use on calls: there is no single buyer. The top ML companies run a small voting committee. Expect 5 to 8 people to matter, with one economic sponsor, one technical champion, and three gatekeepers. Your job is to win the platform lead, calm the security lead, and keep finance comfortable. If product owns the KPI, the budget will find you.

Most organize around five buying centers that share the decision:
- Executive sponsor: CTO, Chief Data or AI Officer, sometimes VP Engineering. They approve strategy and large budgets.
- ML platform and data engineering: Head of ML Platform or MLOps, Director of Data Platform, Principal ML Engineer. They run the stack and act as daily users and technical evaluators. Often your internal champion.
- Product and line of business: CPO, GM, Lead PM, Analytics lead. They push for outcomes like conversion, risk, or new features. They set urgency.
- Risk and governance: CISO, Security, Legal, Privacy, Compliance, Model Risk, and an AI council for GenAI. They own red flags and policy fit.
- Finance and procurement: CFO’s team, FinOps, Cloud Center of Excellence, Strategic Sourcing. They manage cloud spend, marketplaces, and the paper.

Think of it like a relay race. Platform tests, security screens, product prioritizes, finance closes. Deals stall when one leg drops the baton. Two fast tells: who owns deployment SLAs, and who signs off on model risk. If the answer is platform and risk, you are in a control-first motion. If the answer is product and finance, it is a growth-first motion.

Use these lines and questions to multithread with purpose:
- Memorable line: Champions live in platform. Budget lives with execs. Risk lives in security. Meet all three.
- Memorable line: The person who owns model uptime owns the veto.
- Who owns the ML platform or feature store today, and what breaks when traffic spikes?
- Which committee approves GenAI use cases and vendor access to data?
- What are your model failure costs per hour, and who gets the alert when they spike?
- Do you buy through AWS, Azure, or GCP marketplace to simplify security and legal?
- Who tracks cloud run-rate for training and inference, and what threshold triggers review?
- What metrics would make product say yes this quarter?

Contrast matters. Research loves novelty. Production loves stability. Speak to both. Tie your value to faster launches for product, lower incidents for platform, fewer audit findings for security, and predictable spend for finance. Efficiency beats muscle.

What pain points and challenges are most common among the top machine learning companies that could be addressed by your product or service?

Why do so many ML leaders spend more on GPUs while shipping fewer revenue moments? The model is rarely the bottleneck. Everything around it is. Two pains come up fast in conversations. First, the slide-to-production gap. Handoffs from research to engineering slow launches, add risk, and drain goodwill with customers who are waiting on promised features. Second, inference cost and latency at scale. Great accuracy in a demo can turn into margin pressure when every prediction hits the cloud bill and every extra 100 ms hurts conversion, NPS, and renewal.

A third theme is governance that actually moves deals forward. Boards and enterprise buyers now ask for audit trails, bias controls, and reliable rollback plans. Many teams are reactive here, which stalls security reviews and lengthens sales cycles. Add tool sprawl and integration drag. Teams juggle data pipelines, feature stores, monitoring, and deployment scripts that do not talk to each other cleanly. The result is fire drills, slow incident response, and lost trust when models drift and no one can explain the impact in business terms.

Use these lines and questions to open doors:
- Models win in slides. Money is made in production.
- Latency is the new downtime.
- How long does it take you to go from notebook to a customer-facing release today?
- What is your target cost per prediction and who owns that number?
- When a model drifts on a Friday night, who gets paged and what gets rolled back first?
- What proof do you share in security reviews to show traceability from data to decision?
- What percent of built models are in production driving revenue this quarter?

The moral is simple. Efficiency beats brute force. Help them replace chaos with repeatable runs, clear cost controls, and clean handoffs. If it does not ship, it does not count.

How can a salesperson personalize outreach to increase relevance and engagement with decision-makers in top machine learning companies?

“Generic AI outreach” is an oxymoron. Leaders at machine learning companies respond when you show you understand the tradeoffs they live with every quarter. Personalization here means speaking to three levers they obsess over: speed to ship, unit economics, and trust with customers and regulators. Reference a live signal, tie it to a business outcome, then ask a sharp question that creates a gap. Personalized notes often lift reply rates by 2 to 3 times because they prove you did the homework. Lead with their roadmap, not your feature map.

Work from specific triggers and translate them into value:
- New model release or benchmark blog: “You just improved accuracy. Where do you expect the revenue lift to show up first, conversion or retention, and what is the plan to keep per query cost flat as usage grows?”
- Hiring for MLOps or data quality: “Looks like you are scaling experiments. Which bottleneck costs you more this quarter, slow data cleanup or slow approvals to move to production?”
- Cloud or GPU partnership: “Congrats on the partnership. Is the goal lower cost per experiment or faster time from idea to customer impact?”
- Compliance update or SOC announcement: “With enterprise deals in finance, how are you proving model decisions without slowing the sales cycle?”
- Customer story on personalization or fraud: “You highlighted CX gains. Could a 10 percent drop in false positives unlock a measurable margin boost this quarter?”

Persona framing that lands:
- CTO or VP Engineering: “If you had to buy back one week in your release cycle, would you take it from data prep, model testing, or rollout, and what would that unlock in pipeline or ARR?”
- Head of Product: “Which journey needs AI to move a hard number by 2 points this quarter, checkout, search, or support deflection?”
- CFO or COO: “Where is AI spend not converting to revenue, experiments that never ship or models that are expensive to run at scale?”

Tactical format you can reuse:
- Line 1: Specific proof you read their work.
- Line 2: A business insight tied to revenue, margin, or risk.
- Line 3: A one sentence question that invites a number, not a demo.

Two notepad lines to keep handy:
- “Prove you read their roadmap, then earn the right to share yours.”
- “Specific beats clever. One sharp question opens more doors than a long pitch.”