Tetrix empowers institutional investors with AI-driven insights, enabling smarter decisions in alternative markets. Our platform automates data collection and analysis, providing clear, actionable insights that enhance investment strategies. Founded by Stanford and Harvard alumni, Tetrix is dedicated to transforming private market investing with cutting-edge technology.
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Empowering capital allocators with Al insights to navigate alternative investments.
Full company description
Tetrix empowers institutional investors with AI-driven insights, enabling smarter decisions in alternative markets. Our platform automates data collection and analysis, providing clear, actionable insights that enhance investment strategies. Founded by Stanford and Harvard alumni, Tetrix is dedicated to transforming private market investing with cutting-edge technology.
LinkedIn followers
5,591
People associated on LinkedIn
29
Reported office locations
New York, US
Business categories
Artificial Intelligence (AI)
Information Technology
Other recorded names
Tetrix
Profile identifies a recruitment agency
No
Reported total investment
20,000,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Industry
Technology, Information and Internet
Size
11-50 employees
Headquarters
New York
Organization type
Privately Held
Year founded
2023
Tetrix has 5 open jobs in Canada as of November 6, 2026. Top locations: Montréal.
Candidates need to explain complex financial data clearly and understand institutional investors, plus write marketing copy and build sales decks. Startup comfort, creativity and a scrappy, hands-on approach are valued.
1+ YOECandidates need 1 to 3 years of experience in operations, customer success, client operations or client implementation, plus strong English and attention to detail. Exposure to finance, financial documents, SaaS, APIs or automation is an asset.
15+ YOECandidates need 15+ years of backend engineering experience using Python, along with technical leadership and experience architecting complex systems. Open source contributions and AI/ML integration experience are assets.
Adaptability, Communication skills, Python, Leadership, Coaching, ML
5+ YOECandidates need 5+ years building scalable services, data pipelines or production systems, ideally in fast-paced environments. Strong experience with asynchronous Python, APIs and data-heavy workloads is highly valued, and open source contributions are a bonus.
1+ YOECandidates need 1-3 years of experience in accounting, fund administration, fin ops or finance, a solid grasp of financial metrics and statements, strong attention to detail, and strong English. Familiarity with institutional investors and private markets is a plus.