LLMs, wired into the software you already have.
We integrate frontier and open-source language models into your existing app — classification, summarisation, drafting, extraction, code-gen. Streaming UI, structured outputs, evals, and a vendor-neutral architecture so you can swap models as they improve.
When to hire us
- You want to add AI features to existing software
- You've experimented with the OpenAI API and need to ship to production
- You need structured outputs (JSON, function-calling), not just chat
- You want vendor-neutral architecture (swap Claude ↔ GPT ↔ open models)
The capabilities, spelled out.
Provider integration
Anthropic, OpenAI, Google, Mistral, AWS Bedrock, Azure OpenAI, Together, Groq — pick the right model per use case.
Structured outputs
JSON-mode, function-calling, tool-use, schemas with validation. AI output that flows cleanly into your code.
Streaming UI
Token-by-token streaming with proper cancel + retry handling. Feels fast, fails gracefully.
Vendor-neutral architecture
Abstraction layer so you can swap models. New cheaper or better model lands tomorrow — drop it in without rewriting.
Safety & cost control
Rate limits, spend caps, content filters, PII redaction, prompt-injection defences. Production-grade.
Evals & observability
Test prompts before deploy. Track token costs, latency, quality scores in production. No silent regressions.
Our default stack.
We'll pick the right tools for your project — but if you don't care, this is what we usually reach for.
Outcomes, not just hours.
- LLM features in production within weeks, not quarters
- Costs measurable and predictable per request
- Quality measurable — you know when AI changes regress before users do
- Architecture survives model changes — no rewrite when GPT-6 ships
Let's scope your add claude, gpt, gemini to your product.
Tell us what you have in mind — we'll come back with a clear plan, timeline, and quote.