M2-Model

Build the Future.

Forward-looking decisions grounded in governed, reliable intelligence. AI predictions you can interrogate, stress-test, and trust — because the inputs are zero-error.

The Problem

Models Go Stale. Insights Get Trapped.

Analysts enjoy building models but updating them is slow and often deprioritized. Model logic is locked inside Excel and unique to each analyst, making it hard to scale or interpret. Idea discovery requires continuously refreshed KPIs, but stale models limit visibility.

M2 solves this by bringing existing models into a smart, self-updating system where they stay fresh, consistent, and reliable — expanding the analyst's alpha surface through KPI intelligence and model-aware insights.

T+1problem — models are always one step behind reality
80%of analyst time spent updating, not analyzing
Siloedmodel logic locked inside individual spreadsheets
Zerovisibility into cross-coverage KPI inflections
How It Works

From Stale Models to Living Intelligence

01

Import Your Models

Bring in existing Excel models. M2 learns how analysts build — structure, formulas, KPIs, assumptions.

02

Continuous Updates

Models stay fresh automatically. New filings, consensus data, and disclosures flow in without manual effort.

03

Self-Heal & Repair

Broken references and outdated formulas are detected and repaired. Analyst intent is always preserved.

04

KPI-Driven Insights

Research updates map directly into model KPIs. Alerts fire when key assumptions shift. New ideas surface from evolving patterns.

Capabilities

Intelligence That Evolves With You

Model Ingestion

Import analysts' existing Excel models exactly as they are. M2 learns structure, formulas, KPI logic, assumptions, and formatting — then normalizes into Henon's knowledge graph.

Self-Healing Models

Detect broken references, outdated formulas, and deprecated ranges. Automatically repair structure while preserving analyst intent. Update when disclosures change.

Solve the T+1 Problem

Models stay continuously up to date. Automatically ingest new filings, consensus, and disclosures. Apply updates to historicals and forward curves in real-time.

KPI Intelligence

Map diligence and research into KPIs. Ingest filings, transcripts, press releases, and research notes. Translate qualitative information into structured driver updates.

Alpha Net Expansion

Identify KPI inflections across coverage. Detect divergence between model expectations and the market. Surface emerging ideas based on evolving KPI patterns.

Deterministic Calc Engine

Waterfall computations, fee calculations, allocation logic — all explainable, auditable, and reproducible. Every answer is deterministic. No black boxes.

henonGPT

Ask Your Data Anything.

henonGPT is the world's first zero-error RAG system for private markets. It translates natural language into verified queries, validates every result against the warehouse, and cites its sources. No hallucinations. No approximations.

Every answer is deterministic — ask the same question twice, get the same answer. Because in finance, "close enough" is never enough.

henonGPT
Performance"What is Fund III's net IRR as of Q4?"
Compliance"Show me all covenant breaches in the credit portfolio"
Analytics"Compare management fee revenue across vintage years"
Calculations"Generate a waterfall for LP distributions in Fund II"
Portfolio"What's our total AUM across all active vehicles?"
Validation"Flag any NAV discrepancies greater than 0.5%"
The Difference

AI That Earns Trust

Generic AI

  • Probabilistic answers
  • Hallucination risk
  • No audit trail
  • Replaces analyst workflow

henonGPT + M2

  • Deterministic, verified answers
  • Zero hallucination — sourced from your data
  • Full audit trail for every query
  • Evolves your existing models, not replaces
Leverages analysts' existing models rather than replacing them
Designed around KPI-driven investment workflows
Reduces modeling overhead while increasing insight velocity
Continuously refreshes models to prevent staleness
Unifies models, diligence, and idea generation into one system
Architecture

Seven Layers of Intelligence

M2 ARCHITECTURE
01

Excel Parser

Ingests and interprets model structure

02

Model Graph Engine

Maps formulas into knowledge graph

03

Self-Healing Module

Detects and repairs breakages

04

Data Ingestion Pipeline

Filings, consensus, disclosures

05

KPI Mapping Layer

Qualitative → structured drivers

06

Insights Engine

Pattern detection and alpha signals

07

UI Layer

Analyst-facing interface and alerts

Turn Data into Decisions.

M2 evolves your existing models into living, self-updating intelligence.