Your fractional founding team.
Fractional CTO, CPO and CMO who have shipped 100+ products. Senior operators, not a staffing agency. From idea to revenue and the rounds after.
Fractional founding team
From idea to revenue. And the rounds after.
Most teams hire three leaders, three agencies, and a dev shop, then spend their runway making them agree. We come in as one team - your fractional CTO, CPO, and CMO, plus the AI engineers who build - and stay accountable for the outcome, from first version to the funding rounds that follow.
Architecture, the build, and AI that runs in production - not a deck that promises it.
Product shape and roadmap - the path from first version to something people pay for.
Positioning, demand, and a go-to-market that compounds instead of leaking.
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.
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.
AI Agent Workflows
Replace manual multi-step processes with autonomous agents.
Content production
An AI content factory for many brands
- One isolated workspace per brand, with its own factbook and voice rules.
- Every output is a draft. QA gates run first, a person approves, nothing publishes itself.
- Posts and images from one brief, short video within pilots, carousels next.
Case studies
Enterprise-grade, proven in production
These systems ran in production for our team's enterprise work - we hold product teams to the same standard. Anonymized for confidentiality, metrics verified.
Engagement
How we work
A de-risked path from idea to production. You see value before you commit budget.
AI Readiness Scan
1-2 weeksAn AI readiness assessment that maps your use cases, ranks them by ROI, and recommends a cloud, on-premise or hybrid architecture.
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
On-premise first. Your data stays yours. We deploy private LLM and self hosted LLM systems inside your perimeter, with no dependency on 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