AI-NativeFinance

Institutional Quality Architected for Timeless Advantage

Built by investors and advisers to set the standard for investment underwriting and value creation in the age of AI

OUR AGENTS

Private AI agents on your cloud, optionally within Microsoft Copilot

Research Mæster
Research Mæster
Regulatory Mæster
Regulatory Mæster
Financial Mæster
Financial Mæster
Slides Mæster
Slides Mæster
Media Mæster
Media Mæster
Real Assets Mæster
Real Assets Mæster
PUBLIC OR PRIVATE MARKETS

Bypass legacy terminals

Capital IQ Bloomberg

Public or private data transformed into financial models and presentations.

Public Market Data

Derive insights from wealth of disclosure

pathway

Private Market Data

Turn text into a model

pathway

Microsoft Copilot Data

Leverage your enterprise knowledge

pathway
AGENTS ON RAILS — INSTITUTIONAL QUALITY

Bypass the chaos of free-run agents

Claude Desktop and OpenClaw are free-run agents — they are released into a folder — they sow chaos.
Our Agents on Rails are software — grounded in precision, which ensures quality, reduces cost, and enables massive scale. See blog post →

OUR EXPERIENCE EDGE

Domain expertise is timeless

Language models can't do math with certainty — but AI Agents can. An Agent is a language model equipped with tools and calculators: it can run accounting routines, pull live data, even write software in real time during a conversation. But the quality of any Agent comes down to the expert-crafted instructions, deep knowledge libraries, and encoded logic behind it — the human expertise is what makes the difference.

Agent Skillsknowledge & instructions
Agent Toolscalculators & scripts
Agent Harnessmonitoring & memory
Agent Governanceguardrails & policies
AgentON RAILS
Writes code, runs mathflawless reasoning
Runs third-party softwareAPI integrations
Queries databaseslive data retrieval
Plans, executes, checksautonomous loops
OUR MODEL TRAINING

We bring accounting expertise to financial AI training

Proprietary Models

We have trained specialized models for constructing financial statements.

Training Dataset

We specialize in crafting custom, high-quality datasets for training on complex financial statements.

Train Your Own

Engage our data engineering team to build custom training datasets for your proprietary models.

WHY US — FINANCIAL MODELS

We bring institutional quant expertise to the AI tools reshaping private equity

The Old Way

SEC Filings

Raw text

Workiva

Financial tagging

Bloomberg

Statement derivation

Analyst

Pro-forma and DCF

Investor

Investment thesis

The Mæstery Way

SEC Filings

Raw text

Mæstery

Pro-forma and DCF

Investor

Investment thesis

Your Chat - Your Pro-forma, Your IP

Our agent normalizes financial statements to institutional standards. Chat to layer in your proprietary approach — that's the edge only you own.

Total Revenue$4,200M
Product Revenue$2,800M
Service Revenue$1,400M
Cost of Goods Sold$2,100M
Materials & Labor$1,680M
Inventory Write-Down$420M
Gross Profit$2,100M
SG&A$600M
Depreciation$300M
Operating Income$1,200M
REAL ASSETS - ENERGY INFRASTRUCTURE

We bring energy asset insight to real asset investing

AI-powered agents analyze location data across energy infrastructure assets — delivering actionable intelligence for the energy transition.

REAL ASSETS - DIGITAL INFRASTRUCTURE

We bring digital infra insight to real asset investing

AI-powered agents map global digital infrastructure — from data centers to fiber routes — guiding investment in the digital future.

APP, CHAT, OR COPILOT

Same intelligence. Your choice of surface

Whether you choose to work in a purpose-built web app, or have the agent message you in Teams, or prefer to stay inside Excel with Copilot — you get the same models, the same AI agents, no compromise.

Mæstery Intelligence — Latest Blog Posts
How a Free-Run Agent Cheated To Meet Its Goal by Falsifying a Python Run
Agent on Rails: Disciplined AI Beats Free-Run Agents' Chaos

How a Free-Run Agent Cheated To Meet Its Goal by Falsifying a Python Run

The market believes that they can achieve reliable outcomes by releasing a free-run AI agent into a folder (like OpenClaw or Claude Desktop) and giving it access to READ and WRITE a Python script - that performs or checks the math. We tested this. Instead of doing the math, the free-run agent cheated to pass the test! It hallucinated an incorrect output into a file and printed "success", thereby faking the python output. Here is why at Mæstery we put agents on rails and give them tools they can press like a button, masking the python script inside the tool.