0%0%AI in a demo is easy. AI in production — accurate, auditable, and cost-controlled — is the hard part. Dezvo integrates LLMs, retrieval, and agents into existing products and rewires business workflows around AI where it earns its keep.
We work across the AI integration spectrum — embedding LLMs into existing products, building retrieval pipelines, and automating end-to-end business processes.
Embed OpenAI, Anthropic, or Gemini into your product — chat, summarisation, classification, extraction — with caching, fallback, and cost controls.
Retrieval-augmented generation with Pinecone, pgvector, Weaviate — answers grounded in your data, with citations and freshness controls.
Tool-using agents that pull from your APIs, write to your databases, and complete multi-step tasks — with proper guardrails and human-in-loop where it counts.
End-to-end workflow automation in n8n, Make, or Zapier — document processing, lead routing, content generation, internal approvals.
Demos are easy. Production AI needs cost controls, evaluation pipelines, observability, and a governance layer. We ship the production version.
Caching, model routing, and prompt optimisation — token spend bounded and monitored.
Eval suites for accuracy, regression, and drift — not just vibes-based testing.
Audit logs, PII handling, and prompt-injection defences from day one.
Routed through AI Gateway / LiteLLM — switch models without rewriting the app.
Quick answers to the questions we hear most often. Anything else? Get in touch.