Gyanasarathi
THE AI LAB

Agentic AI for Finance. Built Around Your Data.

The AI Lab builds AI agents, fine-tuned LLMs and valuation APIs that automate research, document review and modeling for investment firms. Every output traces back to its source.

From Manual Analysis to Agentic Workflows

Gyanasarathi's AI Lab builds agentic AI for investment teams. Its AI agents read filings, rent rolls and market data, run valuation and risk checks, and draft analysis for analyst sign-off. It also delivers fine-tuned financial LLMs and valuation APIs, deployed privately so client data stays isolated.

Ingest and normalize multi-source financial data automatically
Analyze market dynamics and asset fundamentals in real time
Generate deterministic valuations calibrated to institutional standards
Cut manual hours while analysts keep final sign-off
WHAT WE HAVE BUILT

Our AI Products for Investment Teams

Agentic Stock Analysis Engine

Our flagship product. AI agents read SEC filings, earnings calls and macro data, then produce intrinsic valuations with every assumption sourced.

Key Abilities
Fundamental analysis automation
Earnings transcript parsing
Macro indicator synthesis

Technical Market Intelligence Agents

Quantitative agents for technical analysis. They detect trends and momentum shifts and write a plain-English read of each signal for your analysts.

Key Abilities
Trend detection
Signal generation
Market structure mapping

End-to-End AI Automation Workflows

Remove the manual layer from operations. Workflows take documents in, extract the data, build first-pass financials and flag issues for review.

Key Abilities
Document parsing automation
Data normalization
Financial report generation

Valuation and Risk APIs

Plug our valuation and risk models into your own platforms through secure, versioned APIs, so your systems call the same logic your analysts trust.

Key Abilities
Secure API endpoints
Scalable model access
Integration-ready architecture

Fine-Tuned Financial LLMs

Language models fine-tuned on financial documents. They read diligence files, underwriting packages and loan covenants and return structured data inside a private, isolated environment.

Core Pillars
Private model training
Domain-specific tuning
Secure knowledge isolation
PROCESS

How the AI Lab Works

01

Data Ingestion

02

Model Training

03

Agent Analysis

04

Human Review

05

Secure Delivery

WHY CHOOSE THE AI LAB

Not a Generic AI Tool.
Purpose-Built for Financial Analysis.

Built on underwriting and valuation logic, not retrofitted from a general chatbot
Every output traceable to its source data, for a full audit trail
Focused on the analytical work that takes most of an analyst's week
Runs on the same models our Analytics Desk delivers to clients
Private deployment and isolated client data from day one

Human-Led, AI-Scaled

Analysts set the logic and sign off; AI agents do the repetitive work at scale.

Ready to Build Intelligence Into Your Financial Systems?

Whether you need a custom AI agent, a fine-tuned LLM or an API integration, start with a technical discovery session. We map your data, workflow and success metrics first.