Your workflows, orchestrated by agents

We build multi-agent LLM systems that automate your most complex processes. From intake to output, end-to-end.

Talk to us How it works

12 agents deployed

4.2M tasks processed

99.9% uptime

$ tmux list-services

Four panes. One orchestration layer.

[orchestrator]

services logs config

14:32

~/services/architecture $

Agent architecture

Process mapping, agent selection, and pipeline design. We build the blueprint before writing code.

timeline1–2 weeks

outputArchitecture doc

stackClaude, GPT-4o, LangGraph

~/services/integration $

Build + integrate

Full development with deep connections to your CRM, ERP, databases, and APIs.

timeline2–4 weeks

outputRunning system

stackREST, webhooks, connectors

~/services/monitoring $

Monitor + optimize

Performance dashboards, error handling, cost management, and model upgrades.

timelineOngoing

outputSLA-backed ops

stackLangfuse, dashboards, alerts

~/services/handoff $

Training + handoff

Documentation, training sessions, and structured transfer for your team to own it.

timeline1 week

outputDocs + training

stackNotion, Loom, live sessions

"orchestrator" 4 panes (2x2) all services operational

system notifications

Deployment reports from the field

Real feedback from teams running agent systems in production.

"They mapped our entire support workflow in a week and had agents handling 80% of tickets within a month. Our team now focuses on complex cases instead of repetitive triage."

"We went from 6 people triaging support emails to 1 person reviewing agent decisions. The accuracy is higher than what we had before."

"Invoice processing went from 3 days to 4 hours. Zero manual input. The ROI was obvious within the first week."