Wrenq
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AI integration & voice agents

AI we'd ship to our own production: voice agents that book appointments, copilots that actually make staff faster, and retrieval pipelines that don't fall over the day after launch. Evals and guardrails are part of the build, not a slide deck.

What we deliver

Engagements, not buzzwords.

Each engagement is sized and scheduled in the discovery sprint, so the cadence and demos are agreed before any code is written.

  • LLM-powered voice receptionists
  • RAG over your data and documents
  • Workflow automation with tool-calling
  • Eval, guardrails, observability

Voice receptionists & agents

Telephony-backed voice agents that answer, qualify, book, and escalate — with low-latency turn-taking and warm transfer to a human.

RAG & retrieval pipelines

Search and Q&A over your documents, tickets, and codebase. Indexing, chunking, and reranking tuned for your data, not a generic demo.

Tool-calling workflows

Agents that take real action — calendar, CRM, billing, internal APIs — with structured outputs, retries, and audit trails.

Evals, guardrails, observability

Offline test sets, online metrics, prompt-injection defenses, cost dashboards. The quiet engineering that keeps an AI feature trustworthy.

Stack

The tools we're fluent in for this work.

TypeScriptNode.jsOpenAIAnthropicTwilioLiveKitPineconepgvector

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