Offers & delivery
Paid stack assessments, production sprints, and optional retainers for DACH/EU B2B teams. No open-ended staff augmentation or six-month strategy decks.
Fixed-fee stack assessment for the truth, then a production sprint or Private LLM Platform Package for IaC and pipelines, and an optional retainer as usage scales. Assessment fee credited if you build within 90 days.
From €4,500
Single product team, one primary AI workload, enterprise or procurement review in the next quarter
From €8,500
Multiple teams, Annex III exposure, or active procurement or regulator review
Full assessment fee credited toward your build
Book a Production Implementation Sprint or Private LLM Platform Package within 90 days of your assessment and we credit 100% of the assessment fee toward that quote, so diagnosis rolls straight into the build.
After the assessment
From €18,000 · 4 to 6 weeks
A fixed-scope production pilot bridge: one primary workload to prod-ready with AI landing-zone modules, LLM gateway/eval gates, CI/CD, observability, rollback, and FinOps tags in code. Not a €50k platform programme. Choose the Private LLM Platform Package instead when self-hosted open-source models are the goal.
From €24,000 · 6 to 8 weeks
A productized scaffold to run and fine-tune open-source models with RAG and a full LLMOps lifecycle — privacy-preserving inference on AWS, Azure, GCP, or bare metal. Not a SaaS API wrapper project, and not a vague LLMOps retainer.
From €6,000 / month · Monthly
Ongoing platform leadership when AI usage, compliance load, and reliability demands grow after the sprint or Private LLM Platform Package. Optional, not required to start.
Fixed scope, board-readable outputs, and an engineering backlog your team can execute in Terraform, CI/CD, and GitOps, or we run the sprint for you.
Sample output, 1-5 maturity scale
Every assessment includes a scored heatmap across six production dimensions.
Quality, lineage, feature stores, and reproducible training inputs.
CI/CD, IaC, GitOps, rollback, and environment parity.
Gateways, eval gates, prompt versioning, tool auth, RAG quality.
GPU and inference attribution, routing, and budget guardrails.
Golden paths, inner-loop speed, observability, on-call readiness.
Logging, access, documentation, EU AI Act technical evidence.
Start before you book
Pre-assessment worksheet: register systems, draft risk tiers, and map technical evidence gaps.
Download the EU AI Act inventory templateFixed-scope entry, engineering delivery, optional operate. No open-ended SOW trap.
Free scoping call. We confirm stack, buyers, and whether the fixed-fee stack assessment is the right next step.
10 business days to deliver your heatmap, FinOps register, evidence gaps, and ranked 90-day backlog.
Fixed-price Production Implementation Sprint or Private LLM Platform Package: IaC modules, CI/CD, observability, governance patterns, and runbooks your team inherits.
Optional monthly retainer: platform reviews, FinOps governance, reliability hardening.
Capabilities
Capability areas referenced in assessments, sprints, the Private LLM Platform Package, and retainers. Each maps to concrete IaC, pipeline, and evidence deliverables.
Inference under control — gateways to agents
LLM gateways, prompt and tool registries, RAG eval harnesses, routing policies, agent/MCP auth boundaries, and per-tenant cost attribution so inference is observable, budgeted, and releasable.
Typical assessment findings
Open-source models you control end-to-end
vLLM and gateway stacks, RAG with eval harnesses, fine-tune and adapter promotion, and IaC modules that deploy the same pattern on AWS, Azure, GCP, or bare-metal GPU hosts — built for privacy and EU data residency, not API-only demos.
Typical assessment findings
Governed cloud foundations for AI workloads
Multi-account structure, network segmentation, workload identity, secrets, logging sinks, and FinOps tags as Terraform/Pulumi modules — the baseline enterprises expect before models and agents go near production.
Typical assessment findings
Models that ship like software
Pipelines, registries, evaluation gates, and release workflows so data science output reaches production reliably.
Typical assessment findings
Platform baseline you can cost and defend
GPU and cloud attribution, inference routing, usage governance, and cost-control levers baked into architecture. We codify environments in Terraform/Pulumi, enforce tagging, and align GPU spend with product and tenant attribution.
Typical assessment findings
Production changes you can repeat and audit
Terraform, Pulumi, GitOps, and CI/CD for models and platform. Golden paths as code, drift detection, and environment parity across dev to prod.
Typical assessment findings
Developer experience
We score and fix your inner loop (environments, golden paths, observability, ownership) so your team ships weekly, not quarterly.
Documented, supported workflows for training, deploying, and debugging models. Not tribal knowledge in Slack.
Local dev parity, preview environments, and fast feedback so engineers ship AI features weekly, not quarterly.
Dashboards, alerts, and traces that answer what broke, for whom, and what it cost without a war room.
Clear on-call boundaries, rollback playbooks, and handover docs so production AI is boring in the best way.
Typical assessment findings
Next step
Fixed scope from €4,500. Maturity heatmap, FinOps register, EU AI Act inventory, and an honest verdict. Sprint within 90 days and your assessment fee is credited.
Full assessment fee credited toward your build. Book a Production Implementation Sprint or Private LLM Platform Package within 90 days of your assessment and we credit 100% of the assessment fee toward that quote, so diagnosis rolls straight into the build.
Audit deliverables