Capability

Autonomous employees.
Real capacity.

Deploy digital workers that reason, use tools and execute across platforms inside guardrails you set. Scale capacity without proportional headcount.

AGENT TYPES 01

AGT.01

CORE CAPABILITIES

The Multi-Agent Framework

We build ecosystems of agents that collaborate. A "Manager Agent" breaks down a task, delegates to "Researcher Agents", and reviews work from "Writer Agents"—all autonomously.

Tool & API Mastery

Our agents don't just chat. They use tools. They can navigate CRMs, query databases, execute code, send emails, and trigger webhooks just like a human employee.

Persistent Memory & Context

Our agents retain context between sessions in vector storage, so corrections and workflow specifics carry forward instead of being re-explained every run.

24/7 Operational Capacity

Unaffected by time zones or fatigue. Your autonomous employees execute business logic continuously, with every action logged and reviewable.

DESIGN TARGETS

AGENT CLASSES DEPLOYED

2–6 wk

TIME TO FIRST PILOT

UNLOGGED TOOL CALLS

100%

CODE DELIVERED TO YOUR REPOS

Properties we design and build to, not measured client outcomes.

QUESTIONS

QUESTIONS — 4

An autonomous AI employee is a digital worker built on large language models that can reason about a goal, plan its own steps, and execute them using real tools — navigating CRMs, querying databases, sending emails and triggering webhooks — without a human driving each action.

Our four agent classes cover outbound and inbound sales, Tier-1 and Tier-2 customer support, on-demand data analysis and reporting, and internal operations workflows. Multi-agent frameworks let a manager agent break down complex tasks and delegate them to specialist agents autonomously.

Agents connect through the same interfaces your team uses — APIs, webhooks and native integrations for CRMs, databases, email and messaging platforms. Persistent memory built on vector databases lets them adapt to your company's unique workflows over time.

A single-role agent scoped to one workflow typically deploys in 2–4 weeks, including tool integration and guardrail testing. Multi-agent ecosystems spanning several departments usually land within one to three months.

Keep reading

Podswap — a system that runs itself

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