AI Infrastructure · Service 07
AI-first architecture your systems live on. Routing, orchestration, RAG, data layer.
Agents and automations fall over when data, security and orchestration architecture isn't built for them. That foundation is what we build — and we leave it running, with observability and governance from day one.
Promise: We don't deliver a blueprint and walk away. We leave it in production, measured and yours.
The product
AI Infrastructure
4 services · 99.97% uptime 90d
Requests / day
48.2k
+12% MoM
Cost / 1k tokens
€0.04
-23% optimized
P95 latency
312ms
target < 500ms
Services in production
Vector DB
12ms
OKEmbeddings API
48ms
OKLLM Gateway
186ms
OKCache Redis
3ms
OKSound familiar?
POCs that work in demo but fall over at scale. Each team builds its own mini-stack. There's no model routing, governance is improvised, and data isn't ready for an agent to consume safely. Result: 18 months, lots of spend, zero production value.
How we ship it
Audit, blueprint, AI-ready data layer, enterprise integrations, observability and governance. A single architecture that hosts all agents and automations. Multi-model from day one.
Full mapping of your current stack: where the data lives, what integrations exist, which AI pilots are active, governance and compliance gaps.
Design of the AI-first layer: multi-model routing, agent orchestration, centralized RAG, observability, cost control, governance. Validated with your CTO/CIO.
Safe exposure of internal data for agent consumption: vector DB, refresh pipelines, permission control, anonymization where applicable.
Connection to ERP, CRM, helpdesk, internal systems. SSO, IAM, full audit trail. GDPR, AI Act and sector-regulation compliance.
Usage dashboards per system, cost alerts, auditable logs, documented governance. What your DPO and CISO need to see.
→ It's not a blueprint we hand over in PowerPoint and walk away from. We leave it in production, integrated with your systems, with your team trained to operate it. And with all other AI services (Growth, Operations, Visibility) running on top.
Honest filter
We don't sell to everyone. Here's who it works for and who it doesn't — so you can decide with criteria before signing.
It's for you if…
It's not for you if…
The concrete delivery
What you receive when the service ships. No "discovery phases" billed separately, no "iterations" without scope.
The promise: We don't deliver a blueprint and walk away. We leave it in production, measured and yours.
No surprises
After the technical call with the CTO/CIO:
Initial call
Initial call
We understand the current stack, ongoing AI initiatives, compliance constraints, board priorities. Detailed proposal in 2 weeks.
Weeks 1-4
Weeks 1-4
Mapping of infrastructure, data flows and initiatives. Architecture design. Validation with CTO + DPO + CISO. Blueprint document delivered.
Weeks 5-12
Weeks 5-12
Data layer first, routing and orchestration next, enterprise integrations and observability last. Each phase validated before the next.
Weeks 13-16
Weeks 13-16
Progressive migration of pilots and existing AI systems to the new architecture. No downtime for end users.
Month 5+
Month 5+
Infrastructure in production operated by your team (with our support). Monthly cost and usage reporting. Quarterly architecture iteration.
Pricing
Due to technical complexity and integration, 30 minutes of conversation beats a cold quote.
Mid-market / enterprise
from $25,000
setup / project
+ $10,000/mo recurring
The base layer that usually unlocks every other division.
Case studies
← Swipe to see more cases
No. It complements them. We design the AI-first layer and hand it over documented; your team runs it. Governance stays with you.
Because it includes audit, architecture blueprint, AI-ready data layer, enterprise integrations and governance from day one. Any provider charging less is cutting one of those pieces — and it shows in 6 months.
No. We design with a multi-model routing layer from the start. You can switch provider without rewriting your agent logic. EU compliance and data residency negotiable.
Typical range: €10-25k/month in LLM tokens + infrastructure + ongoing support. Variable based on real usage. Monthly cost-per-system reporting.
Read before deciding
If you want to understand the how and the why before the price, start here.
Per-department playbooks, training and governance. Real adoption, not isolated enthusiasm.
Most AI projects don't die because of the model. They die because data lives in six silos with no owner, no permissions and no governance. That base is what we put in order — and leave running.
We protect your entire company — perimeter, access, compliance — and the new layer almost nobody covers yet: agents that take decisions, access your data and connect to your systems. Traceability, access control and protection against prompt injection from day one.
30 minutes of technical conversation, no strings. We tell you what fits, what doesn't and the rough price.