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Industries

The same pattern, acrossvery different sectors.

High-volume, judgment-light work being done by people who are better used elsewhere. The vocabulary changes; the shape of the problem rarely does.

SaaS & Technology

Model-backed features inside an existing product, plus the localization pipelines that let one release reach every market.

Common engagements
  • In-product AI features
  • Continuous localization
  • Test automation at scale

E-commerce & Retail

Catalogue translation, product data enrichment, and automated merchandising work that currently runs on spreadsheets.

Common engagements
  • Catalogue translation
  • Product data enrichment
  • Support automation

Logistics & Supply Chain

Document-heavy operations, from bills of lading to customs paperwork and proof of delivery, turned into monitored extraction pipelines.

Common engagements
  • Document extraction
  • Exception handling
  • Ops consoles

Healthcare & Life Sciences

Clinical and administrative document processing under real access controls, with audit trails and human review built in.

Common engagements
  • Records processing
  • Compliance workflows
  • Internal search

Financial Services

Back-office automation where being wrong is expensive: reconciliations, onboarding checks and reporting with a full audit trail.

Common engagements
  • KYC document review
  • Reconciliation
  • Regulatory reporting

Media & Publishing

High-volume content localization and metadata enrichment, with quality estimation deciding what a human needs to read.

Common engagements
  • Content localization
  • Metadata enrichment
  • Archive search
Starthere

Tell us the process,not the solution.

The most useful first message describes what someone on your team does by hand today and how often. That is enough for us to tell you whether it is worth building.

What happens next
  • A named engineer reads it, not a form inbox
  • Reply within 24 hours, even if we're not the right fit
  • A 30-minute call to trace the process end to end
  • A fixed-scope quote, or an honest no