Service
Deploy LLMs in production, on your terms
Self-host, fine-tune, observability, cost control.
- 60%
- Lower token cost
- <800ms
- Median latency
- 99.9%
- Inference uptime
Requests today
84,210
Model routing
Healthy- Primary model healthy
- Regression gates green
- Fallback on standby
Eval-gated
Guardrails on
Built with
Capabilities
What we ship
Production-grade LLM platforms: self-hosted where it matters, hybrid where it pays.
Self-host open-weight models
Llama, Mistral, Qwen on your hardware or VPC.
Fine-tune + LoRA
Adapter training, domain transfer, eval-driven iteration.
Inference stack
vLLM, TGI, Ollama. Routing, batching, KV cache.
Evals + regression
Golden sets, A/B harness, automated regression gates.
Guardrails + safety
Prompt injection defense, PII scrubbing, output filters.
Cost + latency budgets
Per-tenant quotas, model routing, cost dashboards.
How we work
From prototype to production in four steps
- 01
Scope and select
We define your use case and pick the right model for quality, cost, and privacy.
- 02
Ground and adapt
We build RAG pipelines or fine-tune so the model answers from your data.
- 03
Harden and evaluate
We add guardrails, evaluations, and red-teaming before anything ships.
- 04
Deploy and optimize
We ship with caching, routing, and monitoring to control latency and cost.
Eval-gated
every model change tested in CI
Your VPC
data never leaves your boundary
Frequently asked questions
Everything teams ask before kicking off a project with us.
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