Inference under control — gateways to agents
LLMOps
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.
LLMOps · Landing zones · DACH/EU
Production AI you can ship, meter, and defend
Fixed-fee 10-day stack assessment: LLMOps control plane, AI landing zones, FinOps register, EU system inventory, and a ranked 90-day backlog. Sprint within 90 days and your assessment fee is credited.
TOKEN SPENDATTRIBUTED P95 LATENCYTRACED ROLLBACK PATHREHEARSED EU AI ACT ART.12EVIDENCED GPU UTILISATIONMETERED PIPELINE FREQDAILY AUDIT TRAILCOMPLETE DRIFT ALERTSWIRED GOLDEN PATHSPAVED
LLMOps
Landing zones
IaC
FinOps
EU-ready
From €4,500 · 10 business days
Fixed fee · Senior engineers · Assessment stands alone
Deployment path
Developer experience
Governance
Cloud economics
Pilots pass demos. Production fails reviews.
Security, finance, and procurement ask the same questions. These gaps block release in DACH/EU B2B teams every quarter.
Security review flagged missing monitoring, rollback paths, and ownership. Production release is on hold until evidence exists.
Finance cannot attribute GPU and LLM spend to product lines or tenants. Budget reviews stall without per-workload numbers.
Procurement asks for audit trails, SLOs, and EU AI Act technical documentation. Pilots work; evidence packets do not.
MLOps, LLMOps, and platform changes sit across teams. Every enterprise gate adds weeks you do not have.
One accountable engineering partner from model to money to evidence
We ship LLM gateways, private open-source model stacks, AI landing zones, pipelines, golden paths, and procurement-ready documentation with automation and IaC so production changes are repeatable, not heroic.
Governed cloud foundations for AI workloads
AI landing zones
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.
Production changes you can repeat and audit
Automation & IaC
Terraform, Pulumi, GitOps, and CI/CD for models and platform. Golden paths as code, drift detection, and environment parity across dev to prod.
Also covered in every engagement
Private / self-hosted LLMs
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.
MLOps
Pipelines, registries, evaluation gates, and release workflows so data science output reaches production reliably.
Developer Experience
Golden paths, self-service environments, inner-loop tooling, and observability that developers actually use.
FinOps for AI
GPU and cloud attribution, inference routing, usage governance, and cost-control levers baked into architecture.
Stack assessments
Fixed-scope production AI assessments covering risk, cost leaks, DevEx gaps, and EU AI Act technical evidence.
Governance & Compliance
Logging, access controls, documentation, and oversight patterns aligned with regulated-market buyers.
Choose your path
What is blocking production right now?
Most teams start with the stack assessment. Pick the trigger that matches your quarter — LLMOps, private/self-hosted stacks, and landing zones are the highest-demand paths this year.
Need workshops or enablement? Browse playbooks and resources
Production AI Radar
Know what to adopt, trial, or avoid before you bet the roadmap
Each signal includes production risk, EU context, effort estimates, and how-to guides. Explore the radar or get your stack scored in the assessment.
Explore radar, tools & guidesProduction AIYour stack
Adopt
Proven in production - implement on your next release cycle.
Trial
Ready for controlled pilots with clear success metrics.
Assess
Worth evaluating - not yet default for every mid-market stack.
Caution
High risk without guardrails - avoid or constrain heavily.
Assess. Build. Operate.
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.
Start here10 business days
Production AI Stack Assessment: Standard
From €4,500
Single product team, one primary AI workload, enterprise or procurement review in the next quarter
- 6-dimension maturity heatmap (1-5 scores)
- EU AI Act system inventory + technical evidence gaps
- FinOps register and DevEx scorecard
- 90-day backlog with IaC & automation priorities
- Honest verdict: go, fix-first, or pause
12-15 business days
Production AI Stack Assessment: Regulated
From €8,500
Multiple teams, Annex III exposure, or active procurement or regulator review
- Everything in Standard, plus multi-team interviews
- Agentic / MCP readiness and tool-auth review
- Deep automation & IaC drift assessment across environments
- Board-ready readout with provider vs deployer mapping
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
- Request sprint scope
Production Implementation Sprint
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.
- Request private LLM scope
Private LLM Platform Package
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.
- Discuss retainer
Platform Operations 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.
Questions before you book
Pricing, scope, and EU AI Act positioning answered upfront so you can decide fast.
Answer
Why pay for an assessment instead of a free discovery call?
The assessment is fixed-scope delivery: heatmap, FinOps register, DevEx score, and 90-day backlog in 10 days. You pay for artifacts procurement can review, not a sales conversation. The 30-minute fit call is free; the assessment is where the work starts.
What lands on your desk in 10 business days
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.
- Data & pipelines3/5
Quality, lineage, feature stores, and reproducible training inputs.
- Deploy & automation2/5
CI/CD, IaC, GitOps, rollback, and environment parity.
- LLM & agents2/5
Gateways, eval gates, prompt versioning, tool auth, RAG quality.
- FinOps2/5
GPU and inference attribution, routing, and budget guardrails.
- DevEx3/5
Golden paths, inner-loop speed, observability, on-call readiness.
- Governance2/5
Logging, access, documentation, EU AI Act technical evidence.
Days 1-2
Discovery & system inventory
- EU AI Act system register (models, agents, pipelines, vendors)
- Provider vs deployer role mapping per system
- Environment map: dev, staging, production (IaC coverage noted)
- Stakeholder interviews: eng, platform, security, product
Days 3-5
Production & automation assessment
- 6-dimension maturity heatmap (data, deploy, LLM, FinOps, DevEx, governance)
- Automation & IaC review: CI/CD, GitOps, drift, secrets, rollback
- LLMOps readiness: gateways, eval gates, tool/MCP auth, cost tags
- AI landing-zone baseline: accounts, network, identity, tagging
- FinOps scan: GPU, inference, and cloud attribution gaps
Days 6-8
Risk & compliance mapping
- EU AI Act technical evidence gap analysis (logging, docs, oversight)
- Reliability risks: SLOs, incident response, on-call readiness
- Enterprise buyer blockers: evidence procurement will ask for
Days 9-10
Delivery & readout
- Architecture and risk heat map (board-readable)
- FinOps opportunity register with estimated impact
- 90-day backlog with IaC, CI/CD, and GitOps items ranked first
- Executive readout + engineering deep-dive session
Developer experience
When deploying AI is harder than building it, releases stall
We score and fix your inner loop (environments, golden paths, observability, ownership) so your team ships weekly, not quarterly.
Golden paths
Documented, supported workflows for training, deploying, and debugging models. Not tribal knowledge in Slack.
Inner-loop speed
Local dev parity, preview environments, and fast feedback so engineers ship AI features weekly, not quarterly.
Observable by default
Dashboards, alerts, and traces that answer what broke, for whom, and what it cost without a war room.
Ownership & runbooks
Clear on-call boundaries, rollback playbooks, and handover docs so production AI is boring in the best way.
Typical assessment findings
- No staging parity for GPU workloads
- Manual deploy runbooks
- Missing cost tags on inference
- On-call without model rollback paths
- Eval suites only run locally
From fit call to operating confidence
Fixed-scope entry, engineering delivery, optional operate. No open-ended SOW trap.
- 01
30-minute fit call
Free scoping call. We confirm stack, buyers, and whether the fixed-fee stack assessment is the right next step.
- 02
Stack assessment
10 business days to deliver your heatmap, FinOps register, evidence gaps, and ranked 90-day backlog.
- 03
Production build
Fixed-price Production Implementation Sprint or Private LLM Platform Package: IaC modules, CI/CD, observability, governance patterns, and runbooks your team inherits.
- 04
Operate & improve
Optional monthly retainer: platform reviews, FinOps governance, reliability hardening.
What an engagement is engineered to change
Example target outcomes we scope assessments and sprints around, plus the principles behind every delivery.
Regulated fintech scenario
Model deploys go from days-long manual releases to under two hours, with rollback paths, audit logging, and an evidence pack built to pass procurement review the first time.
Mid-market B2B SaaS scenario
LLM spend becomes attributable per tenant, and gateway routing plus observability fixes give finance a defensible monthly inference budget.
How we deliver
Automation & IaC first
Terraform, Pulumi, GitOps, and CI/CD. Production AI changes are codified and repeatable.
EU AI Act aligned
System inventory, logging, and technical evidence. Not legal-only checklists.
FinOps by default
GPU and inference spend treated as financial architecture, not surprises.
DACH/EU execution
Shaped for Mittelstand software teams and regulated B2B companies.
Next step
Get your 90-day production roadmap in 10 business days
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
- 6-dimension maturity heatmap
- FinOps register
- EU AI Act system inventory
- 90-day backlog (IaC & automation prioritized)
- Executive readout