AI that knows your industry.
Domain experts plus AI engineers. Production systems, not demos.
Where our team has delivered
Industries and companies our team has worked with across prior roles.
What we actually do
From messy inputs to systems you can audit.
Extract and structure
Complex documents parsed into validated, structured data with lineage you can trace.
Govern and secure
Audit trails, access control, human-in-the-loop checkpoints. The layer that lets AI run in regulated workflows.
Ship to production
Integrated into your stack and monitored. A running system, not a proof of concept.
Built for the parts of the enterprise where mistakes are expensive.
Capabilities
What we build
Business outcomes powered by domain expertise and AI. The technology is a means, the result is the point.
Procurement and Supply Chain AI
Optimize purchasing, cut costs, automate vendor analysis.
Tender analysis from 3 days to 15 minutes.
Document Intelligence
Automate document-heavy work end to end with intelligent document processing: invoices, acceptance documents and bank statements, construction estimates and specifications, KYC and onboarding.
200 to 4,000 documents per month in six months.
AI Agent Workflows
Replace manual multi-step processes with autonomous agents.
Insurance claims 98% automated.
Case studies
Enterprise AI in production
Anonymized for confidentiality, metrics verified. The systems below run in production today.
Insurance claims automation
Problem: Claims spread across 9 document types, 2-3 days per case with a 15% error rate.
Built: Intelligent document processing that extracts, validates, and routes every claim, with a human in the loop on low-confidence items.
Result: 98% of claims automated, 40+ FTEs redeployed, seconds per claim.
Intelligent document processing at scale
Problem: A financial-services firm processing Arabic bank statements by hand could clear only 200 documents a month.
Built: An end-to-end document data extraction pipeline tuned for messy, multi-format financial documents.
Result: 200 to 4,000 documents per month in six months.
Procurement and supply chain AI
Problem: An industrial equipment manufacturer reviewed tenders by hand, 3 days per tender across hundreds of line items.
Built: A procurement AI that parses tender packs, matches them to the product catalog, and filters the noise automatically.
Result: 3 days to 15 minutes, 946 records at about 90% accuracy, 70% auto-filtered.
Legacy system to production
Problem: A European industrial-software vendor ran a critical workflow on an aging system no one wanted to touch.
Built: A modern web platform rebuilt across 5 modules, deployed and integrated into their stack.
Result: Legacy workflow shipped to production, audit-ready and maintainable.
Real-time data platform at event scale
Problem: A global sports-tech platform needed real-time data across international tournaments watched by billions.
Built: A platform our team architected and built: real-time pipelines and autonomous services running across live events.
Result: International tournaments powered, billions of views, real-time at scale.
Engagement
How we work
A de-risked path from idea to production. You see value before you commit budget.
AI Readiness Scan
1-2 weeksUse-case map, ROI ranking, AI readiness assessment, and architecture recommendation.
Low cost, low risk, high insight.
Proof-of-Value Sprint
2-4 weeksA working solution on your data, with performance metrics and a clear go or no-go.
We prove it works before you commit budget.
AI Deployment Program
OngoingProduction rollout, team embedding, and long-term support.
You have the data to justify the investment internally.
Approach
Why teams choose us
Domain expertise plus own IP
Industry veterans who build and deploy, not generalists with decks.
On-premise first
Your data stays yours. We deploy a private LLM, self hosted LLM, or on premise AI, no forced cloud APIs.
All builders
Senior specialists only. Everyone writes code. No overhead layers.
Enterprise-proven
Not our first 100 projects. Not our first enterprise.
Global and local
San Francisco HQ. Barcelona office. Delivery across time zones in English and Spanish.
Tools and IP
The platform and tooling behind it
Domain expertise is the moat. On top of it we deploy our own enterprise AI platform, tooling, and methods.
Datatera platform
Our governed platform for document intelligence: extraction, validation, and a full audit trail. One of the platforms our team built and ships.
docfold
Open-source intelligent document processing core. Document data extraction you can self-host, inspect, and own.
View on GitHubscrapefold
Open-source scraping engine, extracted from our platform. One async interface over 15 scraping engines, with automatic anti-bot escalation and clean, LLM-ready output.
View on GitHubKnowledge Graph Assembly
A method that fuses catalogs, live pipelines, and competitive data into one queryable graph your agents can reason over.
Private and self-hosted LLM
We deploy a private LLM, self hosted LLM, or on premise AI where your data cannot leave. Model-agnostic: open-weight or commercial, chosen per accuracy, cost, and data residency.
How we deploy a private LLMPeople
The team
Common questions