EigenStrategy builds AI systems that encode credit domain expertise - agent-based underwriting tools, investment data architecture, and document intelligence. For buy-side credit funds, structured finance teams, family offices, and LPs. Built by someone with 17 years on the desk, not from a technology sales playbook.
What we build
Agents built around how experienced credit professionals actually reason - covenant analysis, borrowing base review, deal screening, risk assessment. Not generic AI applied to finance, but practitioner judgment encoded into tools your team can use at the desk.
Connecting data sources, eliminating silos, and building the infrastructure that makes AI useful across the investment process. API integrations with market data and document repositories, data hygiene, and pipeline design for teams that need reliable, structured inputs.
An ongoing judgment call on where AI creates real signal versus noise in your specific process. Workflow mapping, agent design, vendor evaluation, and a clear read on what to build, what to buy, and what to avoid - from someone who has sat on both sides of these decisions.
Where this shows up
How engagements work
A focused conversation to map where AI can actually help in your investment process - what the bottlenecks are, where domain expertise is hardest to replicate, and what a useful output looks like for your team.
Run a POC on a live deal or workflow to validate the approach. You see exactly what gets built and what the output looks like before committing to anything broader.
Build and deploy end-to-end, integrated into how the team actually operates. Documentation, refinement, and handoff your team can use and extend independently.
In practice
A buy-side credit fund engaged EigenStrategy to work through a complex, multi-document data room in a single session. The output surfaced details the team's initial review had missed, with every data point organized by source, document tier, and confidence level.Buy-side credit fund, 2026 - anonymized
A credit manager brought in EigenStrategy to build a standardized extraction framework across a multi-site, multi-tenant portfolio. Initial screening compressed from days to hours, with output structured for LP reporting.Credit fund, 2026 - anonymized
About
Seventeen years in credit markets. Most recently MD and Head of High Yield Trading and E-Strategy at RBC Capital Markets, where he ran trading strategy, electronic market access, and vendor relationships across leveraged finance.
EigenStrategy works with buy-side credit funds across corporate and structured credit, family offices, and LPs that want AI built around their actual investment process - not generic tooling deployed by people who have never read a credit agreement.
Get in touch
If you are thinking about AI in your investment process and want to talk to someone who understands the domain, reach out directly. Most engagements start with a single scoping conversation.
prashant@eigenstrategy.com