Tetrix reads the reports investment firms receive from the private funds they invest in, turns them into clean data, and lets the firm question its whole portfolio the way it would ask a CFO who knows every number. I have been on the team since before its first funding round.
$100B+in client assets on the platform
Firms that invest in private funds receive a steady stream of PDFs: financial statements, capital account statements, quarterly reports. Pulling the numbers out by hand can take weeks, so investment decisions run on old data. Tetrix's founders set out to automate that work, and to let investors ask questions of their whole portfolio and get answers backed by the source documents.
I joined in 2023, before the company had raised money, working closely with both co-founders, the CEO and the CTO. I designed and built the front end of the first product, the version that helped secure early investment. I also took part in the founder-level calls: which features to ship first, when to favour customer requests over long-term foundations, and who to hire. As the company grew, I helped interview and recruit the engineering team. Today I work across the whole platform as a full-stack engineer, including its AI features.
Tetrix launched commercially in September 2024 and raised a $5M seed round that month, followed by a $15M Series A in June 2026. Its platform now supports clients with more than $100B in assets, processes over 3,000 funds a quarter, and cuts the time from receiving fund documents to having insight from 45 days to one. These figures are from Tetrix's website and funding announcements.
React and Next.js front end; TypeScript and Python, with PostgreSQL, on AWS. AI extracts and normalises data from unstructured fund documents, and an AI chat answers questions with citations to its sources. The platform is SOC 2 Type II compliant.
Joined at the founding stage as a technical partner to both co-founders, the CEO and the CTO: shaped product and technical decisions, designed and built the first product's front end, and helped hire the engineering team. Now a full-stack engineer across the platform, AI included.