The Data Layer for Financial AI
Expert-driven datasets, custom tooling, and rigorous validation to confidently scale LLMs for Accounting and Finance.
Adverse Model Testing
Rapidly uncover model weaknesses with automated adverse scenario generation and validation. Our LLM-as-a-judge methodology combined with rigorous human review ensures accuracy, compliance, and reliability in regulated environments.
Custom Annotation Tooling
Utilize our purpose-built annotation tools, optimized for complex financial labeling. Achieve precise labeling outcomes, maintain comprehensive audit trails, and simplify regulatory compliance mapping.
Expert Annotation Network
Access our specialized network of certified financial professionals, CPAs, CFOs, ex-IRS auditors, and financial analysts to build high-quality, auditable datasets tailored specifically for finance-focused AI applications.
How it Works
Every expert is vetted through a rigorous, compliance-first selection process. Fewer than 0.1% make the cut.
Identify Top Financial Talent
We source licensed CPAs, analysts, and former regulators with deep domain expertise in Accounting & Finance.
Vet for Accuracy & Fit
Each expert undergoes technical screening, compliance checks, and domain-specific evaluation.
Approve & Deploy
Human reviewers finalize selection and assign experts to your project based on fit and specialization.
Train for Task Precision
Experts are onboarded with our tooling, audit protocols, and project-specific standards to ensure top-tier output.
Deploy with confidence.
Get the financial data infrastructure your LLMs need. Compliance-ready, expert-validated, and built for real-world use.