AI & LLM Integration Service
Ship AI features without the token bill — or the lock-in.
We integrate large language models into custom software running on our self-hosted data center. Your users get powerful, low-latency AI, while you avoid bring-your-own-key setup, unpredictable usage costs, and the fragility of depending on a single third-party model provider.
Why “just use the API” quietly gets expensive and fragile
Unpredictable token bills
Hosted model APIs bill by the token. Usage that is cheap in a demo turns into a line item you have to forecast, cap, and explain once real users arrive — and spikes are easy to hit.
Bring-your-own-key overhead
You procure, store, rotate, and monitor your own API keys; handle rate limits, quotas, and provider outages; and wire up your own fallbacks. That is real engineering time that isn’t your product.
Tied to a provider's terms
Pricing, rate limits, model availability, and acceptable-use policies can change without your consent. Architecture that leans on one provider inherits those surprises.
What we do for you
Your models on our self-hosted data center
Open-weight LLMs on our own GPU hardware. Heavy, always-on AI features cost a predictable share of the platform — never a metered token invoice.
No BYOK, no surprise token bills
No keys to manage, no billing to watch. You pay one stable, scoped fee — AI becomes a budgetable capability, not a variable cost.
Architecture that doesn’t get trapped
Provider abstraction, caching, smart routing, graceful fallbacks — when a provider changes pricing or limits, it’s a config tweak for us, not an outage for you.
Your data stays close
Sensitive workloads run on infrastructure we operate — your prompts don’t have to flow through another external API.
How it works
Scope the AI features
We map your features — chat, extraction, summaries, agents — to the right models and realistic traffic.
Design resilient architecture
We design around abstraction, caching, and model routing — so a provider hiccup is never a product outage.
Stand up on our data center
We provision and serve models on our self-hosted GPUs. No keys, no billing, nothing for you to run.
Integrate and hand over
We build the features into your software, watch quality in production, and hand over a system you can rely on.
Ways to work together
Integrate
Add focused AI features to an existing product.
- AI feature scoping
- Provider-abstraction layer
- Self-hosted model endpoint
Production
AI as a core, always-on capability of your product.
- Resilient multi-model routing
- Caching & cost optimization
- Observability & fallbacks
AI Platform
A dedicated AI platform you own, built end-to-end.
- Dedicated model serving
- RAG / fine-tuning strategy
- Governance & audit trail
Every engagement is scoped to your product, expected usage, and privacy needs, so we quote rather than publish fixed prices. You’ll get a clear breakdown of architecture, model strategy, and cost before we start.
FAQ
No. The models are served from infrastructure we operate on our self-hosted data center. You don’t procure, store, or bill for third-party model APIs — we handle that layer and bill you a scoped fee for the capability.
We quote per engagement based on the features, expected usage, and privacy requirements. Self-hosting turns inference into a capacity cost we manage, so you get a stable, scoped price instead of an open-ended, per-token invoice that tracks your user growth.
We run a mix of open-weight models suited to the task — smaller, fast models for routine work and larger models for the hardest requests — and route between them for cost and quality. We also evaluate adding a hosted API as a fallback where it makes sense.
That’s the point of the design. Because we abstract the model layer and can shift workloads to models we self-host, a provider changing price, rate limits, or availability is a configuration change for us — not an outage or a bill spike for your product.