Preview how we'd map your biggest operational bottleneck — then our pods build the production AI infrastructure that fixes it, with you, in 8 weeks. Built for mid-market companies across the EU and US.
We specialize in AI models, experience design, and end-to-end product engineering
A pod beats a hire, every time.
AI NATIVE ENGINEERING DISCIPLINE.
Evals before features.
We write the test suite before we write the prompt. Production AI without evals is a demo waiting to fail.
Telemetry from day one.
Production data drives the next iteration. "The model is wrong" is unfalsifiable without instrumentation, so we instrument first.
Owned infrastructure.
You hold the keys: code, hosting, data, models. Our value is the build discipline, not infrastructure lock-in.
Lean pods, fixed clocks.
Two to three engineers, one eight-week delivery unit. Small teams on a fixed clock keep scope honest and a fixed price possible.
PROVEN OPERATIONAL TRANSFORMATIONS.
Built a production operations dashboard for a European F&B operator. Centralises real-time data across locations, replacing fragmented manual tracking with a single decision surface for operators and managers.
Built two connected products for one logistics group: a buyer app that reads auction invoices with a vision model and quotes a fixed delivery price, and a carrier marketplace that takes the jobs the fleet cannot — on one shared database.
Built the beta of time tracking and billing for French law firms: case budgets, one-click validation, invoice drafts, per-firm encryption and a pseudonymised AI assistant. Automatic case matching comes next, eval set first.
Built a full lead generation and appointment-setting platform for a real estate agency. Delivered a client-facing web system that automates pipeline management for ambitious estate agents operating across AU.
Built a bilingual, price-first lead site for an independent Paris locksmith: a public price grid, 68 pages per language for real searches, a hardened quote form and no invented reviews.
Built a bilingual site for a cleaning company in Essonne: 224 pages for local searches, real before-and-after jobs, a quote form on an edge function and a compliance check on tax-credit claims.
Built a production operations dashboard for a European F&B operator. Centralises real-time data across locations, replacing fragmented manual tracking with a single decision surface for operators and managers.
Built two connected products for one logistics group: a buyer app that reads auction invoices with a vision model and quotes a fixed delivery price, and a carrier marketplace that takes the jobs the fleet cannot — on one shared database.
Built the beta of time tracking and billing for French law firms: case budgets, one-click validation, invoice drafts, per-firm encryption and a pseudonymised AI assistant. Automatic case matching comes next, eval set first.
Built a full lead generation and appointment-setting platform for a real estate agency. Delivered a client-facing web system that automates pipeline management for ambitious estate agents operating across AU.
Built a bilingual, price-first lead site for an independent Paris locksmith: a public price grid, 68 pages per language for real searches, a hardened quote form and no invented reviews.
Built a bilingual site for a cleaning company in Essonne: 224 pages for local searches, real before-and-after jobs, a quote form on an edge function and a compliance check on tax-credit claims.
Fixed scope, zero surprises.
Diagnostic
Map the bottleneck. Get the build spec. Sign without procurement.
- Embed with ops & engineering
- Target users + data inventory
- System architecture design
- Eval criteria + ROI projection
- 8-week build plan
- 15–25 page doc + 90-min readout
Build
Ship production AI. Fixed scope, protected by the Diagnostic contract.
- 2–3 AI Product Engineers
- Production-deployed software
- Eval harness + regression suite
- Telemetry & monitoring
- Runbook + handoff documentation
- 4-week post-launch warranty
Retainer
Ongoing pod access. The only SKU that compounds.
- Eval suite maintenance
- Drift detection
- Prompt & model upgrades
- 1 new feature shipped/month
- Quarterly business reviews
- Continuous ROI tracking
WORLD-CLASS PRODUCT, BUILT IN BALI.
The Delivery Pod
A flexible unit of 2–3 AI Product Engineers. Domain experts converted into AI-native operators, shipping production-ready infrastructure end-to-end.
The Delivery Pod
A flexible unit of 2–3 AI Product Engineers. Domain experts converted into AI-native operators, shipping production-ready infrastructure end-to-end.
SOLVE YOUR BOTTLENECK TODAY.
Start a Diagnostic
Scope your first AI transformation project with a 2-week Diagnostic.
The knowledge base.
PRIONATION.io builds production AI infrastructure for European and US-based mid-market companies (€5–50M revenue). Fixed scope. Fixed price. Lean pods. 8 weeks from signed to shipped.
Common questions
What is AI product engineering for mid-market companies?
AI product engineering is the practice of building production AI infrastructure — not proofs-of-concept — that operates within real business workflows. For mid-market companies (€5–50M revenue), it means shipping AI products that replace manual operations within a fixed 8-week timeline, with evals defining done and clients owning all code and infrastructure.
How much does a project cost?
Every project is quoted at a fixed price, based on the bottleneck to solve and the scope we define together, and the amount is written into the contract before we start. Everything starts with a 2-week Diagnostic that maps the bottleneck and confirms the scope. The first conversation is free.
What does 'client owns the infrastructure' mean in practice?
At the end of every engagement, the client holds the GitHub repository, the cloud infrastructure credentials, the model provider accounts, and all telemetry data. PRIONATION delivers into the client's environment from day one. When the retainer ends, the client keeps running independently.
How is a lean pod different from hiring an AI engineer?
A 3-person PRIONATION pod works at a fixed price per project, ships in 8 weeks, and comes with evals, telemetry, and a 4-week warranty. Hiring a single AI engineer takes months to recruit and ramp, and carries real hire-quality risk. The pod is the de-risked path until internal AI engineering capability scales.
What is the PRIONATION Diagnostic?
The Diagnostic is a 2-week fixed-scope, fixed-price engagement. It maps the single highest-ROI operational bottleneck, defines the AI build scope, produces the eval suite specification, and delivers a production-ready architecture proposal. It is the required entry point before any Build engagement.
How does PRIONATION handle AI consulting for European companies?
PRIONATION serves EU-based mid-market companies from a remote-first structure (HQ Bali, CRO in Paris). All engagements are quoted in EUR. Client infrastructure remains within EU-compliant hosting where required. The foundation operates in English and French.
What is the post-launch warranty?
Every Build engagement includes a 4-week post-launch warranty. If production performance falls below the eval thresholds defined at the start of the build, PRIONATION fixes it at no additional cost.