Verified document intelligence

From automation to autonomy in your most critical workflows.

Databold's document AI formally verifies every data field it extracts, so you can trust the output enough to act on it, with your experts stepping in only on the rare cases that need judgement.

See it in finance →

LP_Q3_capital_account.pdf Verifying

Committed capital€25,000,000

Drawn to date€18,400,000

Distributions€6,120,000

Residual value (NAV)€21,880,000

Field-level reliability 98% verified

In production and trusted by

French fund-of-funds manager Pilots with other private equity firms

The reliability gap

Fluent isn't the same as correct.

AI agents can sound certain while being wrong. In finance, healthcare and aerospace, a plausible-looking error is worse than an obvious one, because it passes unnoticed until it's already downstream.

TodayExtract with AI, then have a human check. The reviewer reintroduces the cost, delay and fatigue the AI was meant to remove, and still misses silent errors.

DataboldExtraction with formal verification. Every output is checked against formal rules ensuring its conformity. This ensures autonomy by default, human oversight by exception.

The Databold difference

Built for the documents you can't afford to get wrong.

Three properties turn a fluent model into an output you can trust and act on directly.

Autonomy

Output you can act on

Extraction that loads straight into your systems, not a draft an analyst still has to re-key and check line by line.

Verified by design

Formally verified, field by field

Every value is checked against what a correct document must contain: consistency, ranges, cross-references. A guarantee where the rules are met, a flag where they aren't. Not a confidence score.

Critical-systems discipline

Methods from safety-critical engineering

Verification & validation techniques proven in aerospace and industrial systems, applied to AI-powered document workflows.

Where it matters

Wherever a misread field has consequences.

Live

Finance

Extracting and verifying data from LP reports, capital-account statements and distribution notices for fund-of-funds and private-equity teams.

R&D

Healthcare

Patient letters and hospital discharge summaries, where a misread value carries real clinical risk and every figure must be traceable.

Origin

Aerospace

The critical-systems discipline our verification approach was born from, applied to dense technical documentation.

CITRUS, our first product destined to private equity workflows

98^%

field-level reliability, in production

Verified data extraction for fund-of-funds teams.

Citrus reads capital calls, distributions, capital-account statements and quarterly reports from every underlying manager, each in its own format, and returns structured, validated data ready to load into your models.