Markovate
San Francisco AI agent and generative AI firm led by a former AT&T/IBM AI executive.
What is Markovate?
Markovate was founded in 2015 and is led by CEO Rajeev Sharma, an AI veteran with 18+ years of experience who previously led AI initiatives at AT&T and IBM. Headquartered with a San Francisco address (some sources cite Toronto as an operating base), the company has grown to roughly 51 employees, including 50+ engineers described as 'certified AI engineers' (per company website), delivering custom AI agents, chatbot development, and cloud services for healthcare, retail, fintech, SaaS, and travel clients. Its small team size makes it a boutique play best suited to scoped generative AI or agent projects rather than large-scale programs.
Markovate was founded in 2015 and is headquartered in San Francisco, California, United States. The firm employs 50–100 people and works primarily with clients in Healthcare, Retail & E-commerce, FinTech, Travel & Hospitality sectors. Its primary differentiator is: CEO brings direct enterprise AI leadership experience (AT&T, IBM) rather than a purely technical or agency background..
Markovate tech stack and services
| Service area | Details |
|---|---|
| Company wants an AI agent or chatbot built by a team led by a former enterprise AI executive. | Available for Healthcare, Retail & E-commerce, FinTech, Travel & Hospitality clients |
| Healthcare or fintech startup needs a scoped generative AI project from a small, focused vendor. | Available for Healthcare, Retail & E-commerce, FinTech, Travel & Hospitality clients |
| Travel or retail company needs a custom AI agent integrated into an existing product. | Available for Healthcare, Retail & E-commerce, FinTech, Travel & Hospitality clients |
Markovate use cases
Short answer: Markovate is best suited for companies wanting AI agent or chatbot development led by an executive with enterprise AI leadership background (AT&T, IBM)..
| Use case | Industries | Approach |
|---|---|---|
| Company wants an AI agent or chatbot built by a team led by a former enterprise AI executive. | Healthcare, Retail & E-commerce | LangChain, OpenAI API |
| Healthcare or fintech startup needs a scoped generative AI project from a small, focused vendor. | Healthcare, Retail & E-commerce | LangChain, OpenAI API |
| Travel or retail company needs a custom AI agent integrated into an existing product. | Healthcare, Retail & E-commerce | LangChain, OpenAI API |
Markovate pricing
Short answer: Markovate uses a project-based, dedicated team pricing approach. Minimum engagement starts at Not published.
| Engagement model | Typical range | Best for |
|---|---|---|
| Project-based | Variable; depends on team size | Large programmes or team augmentation |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
Markovate pros and cons
| Advantages | Things to consider |
|---|---|
| +CEO's 18+ years leading AI initiatives at AT&T and IBM brings genuine enterprise AI leadership experience to client engagements. | -At roughly 51 employees, capacity for multiple concurrent large engagements is limited. |
| +Focused service scope (AI agents, chatbots, generative AI) rather than a broad, diluted general-consulting offering. | -HQ location is inconsistently reported (San Francisco vs. Toronto across sources) — confirm the contracting entity directly. |
| +Serves a wide industry spread (healthcare to travel) despite small team size, suggesting adaptable delivery patterns. | -"50+ certified AI engineers" claim on a 51-person total headcount is a company claim worth verifying during vendor due diligence. |
Markovate vs alternatives
How Markovate compares to the other top Machine Learning Development companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Neurons Lab | Enterprises that need a senior AI advisory team... | Founder-led AI strategy-to-production consultancy with no junior-heavy delivery layer. | 4.9 | Full comparison |
| Provectus | Mid-market and enterprise companies that need production-grade MLOps,... | AI-first systems integrator built around running production ML/AI infrastructure long-term. | 4.8 | Full comparison |
| Tensorway | Fintech, healthcare, and retail companies that want a... | AI boutique backed by 20+ years of software delivery experience via parent company Anadea. | 4.6 | Full comparison |
| InData Labs | FinTech, healthcare, and SaaS companies that want a... | Ten-plus years as a pure-play AI/data-science firm with no general software-development sideline. | 4.5 | Full comparison |
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| DataArt | Regulated-industry enterprises (finance, healthcare) that need AI delivery... | Artisyn, a proprietary AI-enabled operating model embedding governance and AI agents across the delivery lifecycle. | 3.9 | Full comparison |
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| Konstant Infosolutions | Companies needing AI/ML features added to a mobile... | 175+ Clutch reviews — one of the highest review volumes in this list — from a 23-year mobile/web development track record. | 3.9 | Full comparison |
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| Simform | Companies wanting AI/ML engineering bundled with broader cloud,... | Ranked #2 worldwide among Clutch's Top B2B Service Providers of 2023 — one of the strongest third-party rankings in this list. | 3.8 | Full comparison |
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| Belitsoft | Companies that need AI models integrated into an... | 20+ years of dedicated SaaS product development experience, applied specifically to AI model integration for B2B SaaS. | 3.8 | Full comparison |
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| Intellias | Automotive, mobility, and IoT companies wanting ML development... | Strong automotive/mobility and IoT sector heritage, giving it differentiated depth in embedded and connected-device ML use cases. | 3.7 | Full comparison |
| Andersen | Enterprises wanting AI consulting bundled with a very... | 3,600+ in-house experts across 20 office locations, giving it exceptional breadth across programming languages and delivery models. | 3.7 | Full comparison |
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| Accenture | The largest global enterprises needing AI transformation consulting... | Everest Group's highest-rated Leader in both Data & Analytics and AI/Generative AI PEAK Matrix Assessments (2024), at unmatched global scale. | 3.7 | Full comparison |
Markovate FAQ
What is Markovate?
Markovate was founded in 2015 and is led by CEO Rajeev Sharma, an AI veteran with 18+ years of experience who previously led AI initiatives at AT&T and IBM. Headquartered with a San Francisco address (some sources cite Toronto as an operating base), the company has grown to roughly 51 employees, including 50+ engineers described as 'certified AI engineers' (per company website), delivering custom AI agents, chatbot development, and cloud services for healthcare, retail, fintech, SaaS, and travel clients. Its small team size makes it a boutique play best suited to scoped generative AI or agent projects rather than large-scale programs.
How much does Markovate charge?
Markovate uses project-based, dedicated team pricing. Minimum engagement starts at Not published. A discovery call is required to get project-specific quotes.
What tech stack does Markovate use?
Markovate works with LangChain, OpenAI API, Python, AWS, Google Cloud. Primary industries served include Healthcare, Retail & E-commerce, FinTech, Travel & Hospitality.
Is Markovate right for enterprise?
Companies wanting AI agent or chatbot development led by an executive with enterprise AI leadership background (AT&T, IBM).. 50–100 team size. Key consideration: At roughly 51 employees, capacity for multiple concurrent large engagements is limited..
What are the best Markovate alternatives?
The best alternatives to Markovate depend on your use case. Top options are:
- Neurons Lab: founder-led ai strategy-to-production consultancy with no junior-heavy delivery layer.
- Provectus: ai-first systems integrator built around running production ml/ai infrastructure long-term.
- Tensorway: ai boutique backed by 20+ years of software delivery experience via parent company anadea.
Compare Markovate with other Machine Learning Development companies
Last reviewed: July 2026. Verify all details directly with Markovate before making a decision.