The company story
A global hedge fund with roughly $26Bn AUM needed thesis validation to move at the speed of the market — across more sources — without losing rigor. Through New Value Solutions, we helped design and deliver the agentic research system.
Research cycle focus
Days → hours
Cycle
Days → hours
Architecture
Multi-agent
Context
$26Bn AUM
A $26Bn Hedge Fund — impact snapshot
The pressure
What was on the line
Research cycles were constrained by time and source coverage. Thesis validation needed to move from days of gathering toward hours of focus while preserving signal quality the investment process could trust.
What changed
The arc of the work
- 01
Decompose the research problem
Investment theses were broken into validation paths an agentic system could run — so coverage expanded without turning analysts into prompt engineers.
- 02
Orchestrate agents and evidence
A tools-first multi-agent research architecture (including GPT-4, Claude, and Gemini) with traceable reasoning — so analysts could see how a thesis was checked, not just a score.
- 03
Return time to judgment
The win was not “more AI.” It was analysts spending less time gathering and more time deciding — with research cycles compressed from days toward hours.
Before and after
What people could feel in the week
Thesis validation measured in days of gather
→Validation support oriented to hours of focused review
Source coverage limited by human bandwidth
→Agentic loops expand what analysts can check
Where they are now
The outcome that stuck
In a $26Bn portfolio context, the research team keeps the judgment; the system carries the gather-and-check load. Delivery landed as a regulated Azure install through New Value Solutions.
For technical readers
How it was built
Multi-model architecture (GPT-4, Claude, Gemini), multi-agent research orchestration with LangChain/LangGraph, thesis decomposition and validation, FastAPI, Azure, PostgreSQL, Redis. Delivered through New Value Solutions.
LangGraph · GPT-4 / Claude / Gemini · FastAPI · Azure · PostgreSQL · Redis
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