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We didn't build another chatbot.
We built the production engine for autonomous AI.
Infragentic was born inside real production environments — emergency dispatch, WhatsApp sales, ad operations — where an agent that "mostly works" is not an option.
Built in Mérida, Yucatán · Running in production 24/7
We watched brilliant teams rebuild the same agent plumbing fifty times.
Our engineers built real-time fleet and security systems at Sensando — 50M+ telemetry events, sub-second emergency dispatch, agents that can never lose their place mid-crisis.
Then we saw agencies and startups hitting the same wall over and over:
- Chatbot frameworks that stop at chat and collapse on multi-step work.
- Fragile DIY scripts — Celery queues lost on timeout, browser automation that breaks on the first anti-bot shield.
Teams were spending 3–6 months on plumbing before a single agent produced revenue. We had already solved that problem for mission-critical operations. So we packaged the engine: memory that survives restarts, tools that are validated before they run, and humans holding the kill switch. That is Infragentic.
Three production workflows. One engine.
Infragentic is the engine. These are the workflows running on it today — in the wild, for real businesses.
E-Commerce
Problem-to-quote selling over WhatsApp and voice — 50k SKUs, custom B2B pricing, payment links.
See the solution →Logistics & Security
C4 dispatch, unit telemetry, license-plate intelligence, and call transcription — with a human on every trigger.
See the solution →Marketing
Campaign response after launch — follows posts, answers everything, reports sentiment and resonance.
See the solution →The engine behind all three → How the workflow engine works
The 4 rules we build by.
Agents Finish the Job.
A workflow that pauses for 24 hours and resumes with full context is not a feature — it's the baseline. No timeouts. No lost conversations. No frozen agents.
Your Data Stays Yours.
Bring your own database. Bring your own model keys. We run the logic; your customer data never leaves your control — and we never mark up your tokens.
Humans Hold the Keys.
Payments, sensitive emails, destructive writes — agents ask permission first. Approval gates are one tap away, on desktop or WhatsApp.
Production-Grade, Not Playground-Grade.
If it runs, it runs in production: validated sandboxes, database-backed state, millisecond observability, and a 99.9% uptime track record in mission-critical environments.
Hardened where failure is not an option.
The Infragentic runtime was hardened at Sensando, the real-time security and fleet platform that dispatches emergency response for C4 fleets. 50M+ telemetry events, sub-second dispatch decisions, and workflow uptime of 99.9% — that is the standard the engine is built to.
From mission-critical systems to your first agent.
01
The Proving Ground
We built real-time C4 systems at Sensando — 50M+ telemetry events, sub-second dispatch.
02
The Wall
We watched teams rebuild the same agent plumbing for 3–6 months before a single agent produced revenue.
03
The Engine
We packaged what worked: durable memory, validated tools, human gates. Infragentic 1.0.
04
The Proof
Three platforms live in production — Estimalo, Sensando, and Resonus — running autonomous workflows daily.
Impact in Numbers
50M+
Telemetry events processed
<10s
Average resolution time
99.9%
Workflow uptime in production
3
Platforms live in production
Ready to put autonomous AI
to work?
Launch your first production agent in minutes. No credit card required.
Response in less than 15 minutes
Prefer email? hello@infragentic.io →
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Live in 2 days
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No token markups
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99.9% workflow uptime