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AI Agents

Production AI agents on your data, in your stack.

Custom AI agents for sales, support, research, and operations — built on OpenAI, Anthropic, and open models, deployed to your stack with guardrails.

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60+
Avg. manual hours reclaimed / week
40+
Agents in production
GPT · Claude · Gemini · Llama · Mistral
Models supported

Why teams hire us for ai agents

Agents are the step past chatbots. They take actions: researching, drafting, booking, qualifying, and closing loops on your behalf.

We design and ship production agents on OpenAI, Anthropic, and open-source models, grounded in your data via RAG and your systems via tool calling.

Every agent we ship has evals, observability, guardrails, and a clear human-in-the-loop surface — because AI that's silently wrong is worse than no AI.

Sales & SDR Agents

Lead research, personalization, sequencing, and meeting-booking agents plugged into HubSpot, Salesforce, and Outreach.

Support Agents

First-line support agents on Intercom, Zendesk, Front, and custom widgets — with retrieval from your help center and tickets.

Research & Analyst Agents

Internal research agents that synthesize customer calls, CRM data, and external sources into briefs and decisions.

Voice Agents

Inbound and outbound voice agents on Vapi, Retell, and Twilio for booking, qualification, and routing.

Retrieval & Memory

RAG with pgvector, Pinecone, or Turbopuffer, and long-term memory via hybrid retrieval and summarization.

Evals, Guardrails & Observability

Evals with Braintrust or Langfuse, safety layers, and full traceability so you know exactly what the agent did and why.

What you get

Deliverables

  • Agent design + architecture doc
  • Data + tool integrations
  • RAG / memory pipeline
  • Production deploy (Vercel, AWS, Cloudflare)
  • Evals + observability dashboard
  • Enablement + handoff
Fit check

Ideal for

  • Sales orgs buried in manual prospecting
  • Support teams with repetitive tier-1 volume
  • Ops teams drowning in unstructured data
Process

How we ship ai agents

01
Scope

Identify the workflow worth automating.

02
Design

Define tools, data, guardrails, and KPIs.

03
Build

Ship an eval-driven agent to staging.

04
Deploy

Production rollout with monitoring and HITL.

FAQ

Questions, answered

We're model-agnostic and usually run multi-model routing. GPT, Claude, Gemini, and open-source each have niches where they win on cost or quality.
Retrieval grounding, strict tool schemas, confidence thresholds, and evals on every release. For high-stakes flows, we add human-in-the-loop.
Typically Vercel, Cloudflare Workers, or AWS — whichever fits your stack. Data stays in your environment.

Let's build your ai agents engine

Book a 15-minute intro. If we're not a fit, we'll tell you in the call — and point you to someone who is.