AI Infrastructure
The infrastructure that other engineers deploy your AI apps on.
We build AI infrastructure platforms: LLM observability, multi-provider gateways, RAG-as-a-Service, hosted fine-tuning. High technical moat for companies with a serious AI strategy.
Complete package, not just code.
Every delivery includes design, development, deployment, monitoring, and training for your team. Zero incomplete handoff.
- ✓AI Observability platform (private LangSmith clone): trace LLM calls + cost + latency
- ✓AI Gateway: rate limit + cost tracking across OpenAI/Anthropic/Gemini with failover
- ✓RAG-as-a-Service: vector DB + reranking + multi-tenant
- ✓Fine-tuning as a Service: upload data → fine-tune Llama/Mistral → host inference
- ✓Multi-agent orchestration with CrewAI/LangGraph
We build ai infrastructure for:
- ◆Companies building many AI features and wanting centralization
- ◆AI startups wanting a technical moat (proprietary RAG, fine-tuning)
- ◆Enterprises wanting compliance + internal AI monitoring
- ◆AI consultancies reselling our infra as a platform
What we deliver technically.
6 core capabilities. We combine modularly based on your needs.
Observability
Trace every LLM call: latency, tokens, cost, errors, eval scores
Multi-provider Gateway
OpenAI/Anthropic/Gemini/Mistral with rate limit + failover + cost budget
RAG Pipeline
Chunking + embeddings + reranking + hybrid search + multi-tenant
Fine-tuning
LoRA on Llama/Mistral/Qwen, host inference with vLLM
Multi-agent
CrewAI/LangGraph orchestration with handoffs + state management
Eval Pipelines
Test LLM outputs against ground truth, regression detection
How we delivered this for clients.
Three representative scenarios from recent years.
Enterprise LLM Gateway
Bank with 50 dev teams: centralized gateway with cost budget + monitoring
AI Consultancy Platform
AI agency reselling RAG infra as SaaS to 20+ end clients
Privacy-first RAG
Healthcare/legal with RAG on sensitive documents self-hosted in the EU
Detailed pages for each capability.
Want to learn more about a specific aspect? We have a dedicated page.
Transparent prices, custom on request.
3 standard levels. For complex projects, dedicated Custom Quote.
RAG Platform
RAG-as-a-Service core
- ✓Vector DB + embedding pipeline
- ✓Multi-tenant data isolation
- ✓API + admin dashboard
- ✓1 integrated LLM provider
- ✓3 months maintenance
AI Platform
Gateway + Observability + RAG
- ✓Multi-provider gateway
- ✓Cost tracking + budgets
- ✓Full observability (traces, evals)
- ✓RAG + fine-tuning support
- ✓6 months Pro maintenance
Enterprise AI Hub
Complete platform + on-prem
- ✓Everything from Standard
- ✓On-prem deployment
- ✓SSO + RBAC + audit
- ✓SOC 2 ready
- ✓Dedicated support + SLA
5 clear steps, weekly milestones.
Discovery
Use cases + LLM providers + compliance requirements
Architecture
Multi-tenant design + data isolation + security
Build
Core platform + integrations + dashboards
Launch
Production deploy + monitoring + training
Support
Updates + new providers + custom features
Frequently asked questions.
Why not use the OpenAI API directly?+
Self-hosted or cloud?+
Does it work with open-source models?+
Ongoing infra costs?+
Let's build ai infrastructure together.
Free 30-minute discovery call. Quote response within 24h. Zero pressure.