Custom AI development for enterprise support teams
We build RAG-powered AI customer support copilots, LLM applications and production ML systems. 64% ticket deflection, 4.8★ CSAT, sub-30s response — proven in production.
RAG architecture for customer support copilots
A generic chatbot will hallucinate your refund policy. A RAG copilot grounded in your docs, past tickets and product data will not. We build the retrieval pipeline, the eval harness, the integration with your ticketing stack, and the dashboards that prove it's working.
- RAG AI customer support copilots
- LLM application development (GPT, Claude, Gemini)
- Fine-tuning & model distillation
- Vector search (Pinecone, Weaviate, pgvector)
- Eval harnesses & accuracy benchmarking
- PII redaction & data residency
- Agentic workflows & tool use
- Production ML pipelines & MLOps
Capabilities
What we build with AI
RAG customer support copilots
Grounded in your docs, ticket history and product data. Citable answers, PII-safe retrieval, and deep integration with Zendesk, Intercom, Salesforce or custom CRMs.
LLM applications & agents
Document analysis, contract review, internal search, sales-call summarisation, agentic workflows with tool use. Built on GPT-5, Claude, Gemini or open-weights — chosen per use case.
Production ML systems
Recommendation engines, fraud models, forecasting, anomaly detection. Full MLOps — feature stores, drift monitoring, A/B testing, eval pipelines, and cost dashboards.
Proof
Recent work
AI Support
Loomly
64% deflection
RAG copilot trained on docs and past tickets. CSAT 4.2★ → 4.8★. Response time under 30 seconds. 3-month ROI.
Document AI
Helix Labs
12× faster
LLM-powered contract review for legal ops. Reduced review time from 6 hours to 30 minutes per contract.
MLOps
Kestrel AI
$2.1M saved
Fraud detection model with full MLOps stack. Reduced false positives by 38%, saved $2.1M in chargebacks year one.
FAQ
Frequently asked questions
Ready to deploy AI that actually works?
Tell us your use case. We'll validate it on your real data in a 2-week paid discovery, then ship to production in 8–14 weeks.