Codos
ActiveAI-nativeThe virtual Chief AI Officer that turns AI into P&L impact. 7-digit live ARR, 50% MoM, ex-McKinsey and Meta ML team.
What it does
Codos helps public and PE-backed companies to achieve P&L impact from AI months ahead of schedule. 7-digit live ARR, repeat founders pairing Meta and Tesla machine learning (the brains) with McKinsey implementation (the hands) turning a $500BN AI-services industry into software. Codos runs AI agents that interview the entire workforce and identify inefficiencies, operates a virtual Chief AI Officer that automates sales, operations and engineering workflows, and deploys the benchmark-winning company brain. Successfully delivered $10M+ of impact to NASDAQ-listed and private clients. 1.6M views on X launch video and multi-million customer pipeline.
Its site says now · captured 2026-09-19
Codos | Enterprise AI Transformation Software
Codos helps midsize companies and enterprise business units deploy a company brain, automate major cost centers, and deliver measurable AI results in weeks.
Next to it in Agent infrastructure · Enterprise AI transformation platform
- Maniaca16z speedrun SR005
Pareto-Optimal AI at Scale, for Enterprise Intelligence You Own.
- Plotch.aiAntler Antler India 2023
Quickly build, deploy, and monitor a secure, collaborative AI agent workforce—purpose-built to streamline and scale enterprise workflows.
- JinbaY Combinator W26
Automate enterprise workflows through chat
- NexusY Combinator F25
We help non-technical teams build AI agents without engineers
- CerenovusY Combinator S26
AI that finds value creation opportunities across enterprise…
- DecaworkY Combinator S26
Training company-specific models that approve AI actions.
- MIRINAEPlug and Play PnP 2026
Mirinae HyperFlow is an enterprise AI orchestration platform that enables organizations to connect multiple AI models and tools into visual workflows to rapidly build, run, and deploy AI agents and business automations.
- VerisPlug and Play PnP 2026
Veris is a sandbox platform that lets enterprises train and validate autonomous agents in realistic, high-fidelity simulations before deployment.