AI in production -
not just in demos.
We integrate OpenAI, Anthropic, and open-weight models into real products - with evals, guardrails, latency engineering, and the observability that demos always skip.
- Single-source dependency on Almarai dairy lines
- Red Sea routing delays - 12% of Agthia inbound
- Q2 sugar contract expiry across 6 Savola SKUs
The full stack of production AI.
From prompt engineering to fine-tuning to evals - we handle the parts that determine whether AI features survive contact with real users.
RAG & Knowledge Systems
Retrieval-augmented generation that actually retrieves the right thing. Hybrid search, re-rankers, chunking strategies, and grounded answers with citations.
- Hybrid BM25 + vector
- Cohere/Voyage rerankers
- Citation tracing
Chat & Copilot UIs
Streaming chat, in-product copilots, and slash-command interfaces with proper history, tool use, and abort handling.
- Streaming + abort
- Tool calling
- Conversation memory
Document Intelligence
OCR, structured extraction, classification, and summarization for invoices, contracts, claims, and lab reports.
- GPT-4o vision
- JSON-mode extraction
- Confidence scoring
Custom Fine-tuning
Fine-tuning OpenAI, Anthropic, and open-weight models on your domain data - when prompting alone hits a quality or cost ceiling.
- LoRA / QLoRA
- Distillation pipelines
- On-prem deployments
Evals & Guardrails
Continuous eval suites, regression tracking, prompt-injection defenses, and PII redaction. Production AI without surprise headlines.
- Promptfoo / Braintrust
- Jailbreak filters
- PII redaction
Cost & Latency Engineering
Model routing, semantic caching, batching, and prompt compression. We've cut clients' OpenAI bills by 60%+ without quality loss.
- Model routing
- Semantic caching
- Prompt compression
AI that earns trust over time.
Eval before launch
Every AI feature ships with a versioned eval set. We measure quality on real prompts, not just demos.
Designed to fail safely
Output validation, schema enforcement, refusal handling, and human-in-loop on high-stakes flows. AI fails - we plan for it.
Latency is the product
Streaming first, optimistic UI, and sub-second responses. Slow AI feels broken even when it's correct.
Model-agnostic by default
Provider-abstracted gateways so you can swap GPT for Claude for Llama without rewriting your app - or pick the cheapest per task.
From idea to production AI.
Use-case scoping
Workshop the actual user task, success criteria, accuracy bar, and business value. Many "AI features" don't need AI.
Prototype + eval
Spike with the cheapest model that could plausibly work. Build the eval set. Measure before scaling complexity.
Productionize
Guardrails, observability, fallbacks, caching, rate limits. The 80% of work that demos skip.
Iterate on real traffic
Trace logs, eval drift, model swaps, and prompt updates. AI products live or die in week 4, not week 1.
Models, frameworks, and infra.
Got an AI prototype that won't quite ship?
Book a 30-minute review. We'll diagnose the gap between prototype and production - and outline the shortest path across.