AI Agents

Autonomous AI Agents That Get Real Work Done.

Multi-step agents with tool use, memory, and decision loops — wired into your CRM, data warehouse, and workflows. Built to run unattended.

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What this is

Agents that act, not just answer.

A real agent is not a chat window with a prompt. It is a system that reasons over a goal, picks the right tool, executes, observes the result, and adjusts.

We design and ship multi-agent orchestrations — Account Mapper → Reach Out → Scoring patterns, research workflows, ops automations — connected to Salesforce, HubSpot, Apollo, Slack, and your internal APIs.

Trigger / Inbound
Account Mapper AgentTool: enrich
Reach Out AgentTool: draft + send
Scoring ToolCRM update
Pipeline complete · 3 tool calls · $0.018
Use cases

You need this if…

  • You have repetitive knowledge work happening across 3+ tools that should be one button.
  • Your SDR / ops team spends hours per day on enrichment, scoring, and outreach prep.
  • You want an autonomous research workflow that produces structured outputs nightly.
  • You've tried no-code agent builders and hit a ceiling on reliability or integration depth.
Approach

How We Build It

01

Map the workflow

We trace the actual decision points and tool surface — not the wishful thinking version.

02

Design the agent graph

Roles, tools, guardrails, evaluation harness. Tested before it touches production data.

03

Ship and observe

Live in production with full tracing, cost dashboards, and failover. Tunable from day one.

Tech stack

Tools We Reach For

A pragmatic stack — not a fashion show. We pick what scales.

AnthropicOpenAILangGraphHatchetSalesforceHubSpotApolloSupabaseTypeScriptPython

Got an agent idea worth building?

We build agent systems that run for years — not demos that crumble in week two.

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