Mission
Reduce manual typing work and improve confidence in exported data.
About
We build practical AI workflows for teams still doing manual data entry.
DataEntryLM helps teams move from typing everything by hand to review-first automation: AI extracts first, people approve what matters.
Who we are
Building review-first data operations for real teams.
Who we build for
Operations teams handling invoices, forms, logs, and spreadsheet-heavy workflows.
How we work
AI suggests and accelerates. Teams keep final control over decisions.
Operating principles
What guides every product decision we make.
01
Trust over hype
Reliable outputs matter more than flashy automation claims.
02
Humans in control
Reviewers approve what changes, while AI accelerates the heavy lift.
03
Operational fit
Exports and integrations should align with existing team workflows.
What teams gain
Faster throughput with stronger quality control.
DataEntryLM combines extraction speed with clear review, audit, and export discipline so teams can scale without losing trust.
Beliefs in practice
- Human review focuses on exceptions, not every single cell
- Copilot suggestions remain explainable and approval-based
- Audit history stays visible across review and export
- Teams keep operational ownership of final outputs
- Onboarding stays fast without sacrificing long-term reliability
Built for real document operations, not demos.
From extraction to approval to export, DataEntryLM helps teams work faster without giving up control.