Axera Data

Data Types

Training data for every use case

Purpose-built datasets from domain experts to train, align, and evaluate your AI models.

SFT Pairs

Supervised Fine-Tuning

Expert-crafted prompt-response pairs for financial reasoning. Your models learn valuation methodologies, deal analysis, and investment frameworks from conversations curated by Wall Street professionals.

RL/HF

Human Feedback

Human-in-the-loop feedback from finance professionals. Our investment bankers, analysts, and portfolio managers rate, correct, and refine model outputs to align with institutional-grade standards.

Preference Ranking

Comparative Evaluation

Side-by-side comparisons of financial analyses ranked by domain experts. Train models to select outputs that meet the accuracy and rigor expected by investment committees and deal teams.

RLAIF

AI-Assisted Feedback

Scalable rubric-based scoring calibrated by finance experts. Combine human judgment on complex analyses with high-coverage automated feedback for accounting accuracy, valuation logic, and market reasoning.

Finance RL

Reinforcement Learning

Simulation-driven learning for financial decision-making. Train agents on portfolio optimization, trade execution, and risk management through iterative feedback in market environments.

Traces

Workflow Recording

Detailed recordings of expert financial workflows—building models, analyzing filings, executing due diligence. Teach agents to navigate Bloomberg, Excel, and research platforms like seasoned analysts.

The Difference

Why finance expertise matters

Generalist Marketplaces

Cannot distinguish between GAAP and non-GAAP metrics in earnings reports
Miss context on capital structure, covenant implications, or dilution effects
Struggle with derivative terminology, credit structures, and deal mechanics
No intuition for what constitutes a material misstatement vs. rounding error
Require extensive rework cycles and quality remediation

Professionals who have built DCF models, analyzed credit agreements, and written investment memos
Native fluency in accounting standards, valuation methodologies, and market conventions
Understand the difference between a term loan B and a revolver, or an LBO and a growth equity deal
Can identify when a model output is directionally wrong, not just grammatically incorrect
Trained to flag subtle errors that would matter to a portfolio manager or deal team

10x

Higher domain accuracy than generalist annotators

50%

Lower cost than comparable expert services

Ramp-up time on financial concepts

Our Network

World-class finance talent

Our annotators and evaluators are current and former professionals from the most respected institutions in finance.

Investment Banking

Analysts and associates from bulge bracket and elite boutique banks with experience in M&A, capital markets, and financial modeling.

Hedge Funds

Researchers and analysts from Tiger Cubs and multi-billion dollar multi-managers with deep expertise in public markets.

Venture & Growth

Investors from top-tier firms like a16z and Norwest with experience evaluating technology companies and market opportunities.

Private Equity

Deal professionals from megafunds and middle-market sponsors with expertise in LBOs, portfolio operations, and value creation.

Growth Equity

Investors from leading growth funds with expertise in scaling companies, unit economics, and late-stage technology investing.

Equity Research

Former sell-side and buy-side research analysts with expertise in sector coverage, earnings models, and fundamental analysis.

Wall Street expertise for your AI training data