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Fusemachines
Sameer Maskey founded Fusemachines in 2013, blending AI engineering services with internal talent academies in Nepal, the Dominican Republic, and Rwanda.
Fusemachines
Fusemachines launched in 2013, founded by Columbia University adjunct professor and AI researcher Sameer Maskey. The firm emerged not as a pure consultancy but with an integrated talent model — combining AI engineering services for mid-market and enterprise clients with an internal AI education program, Fusemachines AI Fellowship, that trains engineers in markets like Nepal, the Dominican Republic, and Rwanda. This creates a direct pipeline from classroom to client engagement. The firm's deployment model spans enterprise AI strategy, custom model development, and managed AI engineering teams. Asset classes diverge from traditional capital allocators — Fusemachines deploys human capital, embedding small squads of data engineers and machine learning specialists into client organizations on a project or staff-augmentation basis. Known client work includes AI-driven customer analytics platforms, natural language processing solutions, and predictive maintenance systems across sectors including financial services, healthcare, and telecommunications. Geographic delivery hubs in Kathmandu and Santo Domingo support US and Canadian engagements, giving the firm a cost structure unlike domestic-only competitors. Scale metrics remain closely held. The firm operates offices in New York, Toronto, Kathmandu, and the Dominican Republic, with an undisclosed headcount that public sources suggest runs in the hundreds, largely concentrated in Nepal. Fusemachines established a non-profit counterpart, Fusemachines Foundation, focused on expanding AI literacy in emerging economies. In July 2023, the firm announced a partnership with the Government of Rwanda to launch a nationwide AI training initiative targeting workforce development across the country. Fusemachines' genuine structural differentiator is its talent-creation engine. Rather than competing solely on the quality of delivered AI models, the firm competes on the supply and cost of the engineers who build them. By operating training academies in lower-cost markets, it underwrites its own pipeline, producing engineers who work on client engagements while paying back education costs — a model that more closely resembles a professional sports academy than a typical IT services firm.
General information
Firm type
Asset Manager
Year founded
2013
AUM
Undisclosed
Location
Region
North America
Country
United States
City
New York
Corporate office
New York, NY, United States
Additional offices
Kathmandu, Nepal · Toronto, Canada · Dominican Republic
Principals
Sameer Maskey
Founder and CEO
Sector focus
Frequently asked questions
Who runs investment and strategy decisions at Fusemachines?
Founder and CEO Sameer Maskey holds central decision-making authority over the firm's strategy, client partnerships, and geographic expansion. Maskey teaches AI at Columbia University as an adjunct professor and holds a PhD in computer science, giving the firm a technically hands-on leadership profile. No additional C-suite principals are publicly identified as holding equivalent strategic authority.
How does Fusemachines source its engineer talent?
The firm runs its own AI Fellowship program, a tuition-based training curriculum that operates in Nepal, the Dominican Republic, and other emerging markets. Graduates feed directly into the firm's client delivery teams, creating an internal talent pipeline that reduces reliance on third-party recruiting. The fellowship functions as both a social-impact vehicle and a strategic sourcing moat.
Is Fusemachines a family office, venture firm, or something else?
Fusemachines is neither a family office nor an investment firm — it is an AI services and education company that deploys engineering teams for enterprise clients. The firm generates revenue through project-based AI development, staff augmentation, and software licensing, not through capital deployment into portfolio companies.
What sectors and functions does Fusemachines serve?
The firm's client work covers financial services, healthcare, telecommunications, and retail, among others. Technical capabilities include natural language processing, computer vision, predictive analytics, and MLOps infrastructure. Fusemachines typically positions as an end-to-end AI partner, from data readiness and model development through production deployment.
What is the Fusemachines Foundation and how does it relate to the commercial business?
The Fusemachines Foundation is a non-profit arm focused on expanding AI literacy in emerging economies, separately governed from the commercial entity. The foundation runs community-based AI training programs — the July 2023 Rwanda partnership is a prominent example — while the for-profit arm's fellowship program trains engineers for client deployment. The two share a mission but operate with distinct funding and oversight.
Does Fusemachines participate in venture investing or hold equity in AI startups?
Public record shows no disclosed venture arm, fund structure, or equity-stake portfolio. The firm's business model is services-driven, not capital-deployment-driven. Any equity positions taken in lieu of fees would be possible but undisclosed.
Where does Fusemachines operate geographically?
Headquartered in New York, with additional offices in Toronto, Kathmandu (Nepal), and the Dominican Republic, the firm runs client engagements primarily for US and Canadian customers while maintaining delivery centers in its lower-cost office locations. Its education programs extend to Rwanda under the government partnership announced in 2023.
Profile maintained by Altss using OSINT (open-source intelligence), regulatory filings, licensed data partners, and verified direct submissions. Read the methodology. Last updated: . Continuous refresh with full update cycles at least every 30 days.
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