Codos

Codos is an AI transformation platform backed by a16z Speedrun, built by a team with backgrounds from McKinsey & Company, Meta, Tesla, and NASA. It targets 300–3,000 person organizations in fintech, ecommerce, technology, real estate, retail, and services, helping them move from fragmented company knowledge to deployed AI workflows in weeks rather than months.

What It Is

Codos combines proprietary enterprise AI software with forward-deployed engineers (FDEs) to help midsize companies and enterprise business units build what the company calls a "company brain" — a maintained, connected knowledge graph of the organization's people, projects, decisions, and operations. The platform ingests data from sources like Notion, Slack, Gmail, HubSpot, Google Sheets, meeting notes, org charts, and metrics, then extracts structured facts and relationships that agents can act on. The goal is to compress the typical 6–9 month AI transformation timeline down to weeks.

The Company Brain and Aethos Engine

At the core of Codos is Aethos, the software engine that powers the company brain. Aethos collects workplace conversations, meeting notes, documents, and business-system records through configured connectors, then extracts small, connected facts called "atoms" — each retaining its source, access scope, and date context. Key capabilities include:

• Identity resolution: Disambiguates people across documents (e.g., "Nora" in a transcript vs. "Nora Patel" in a project plan) using names, aliases, contact details, and surrounding context.
• Temporal maintenance: Separates current facts from history, so an old plan imported today doesn't displace a newer decision.
• MCP integration: Makes company context available to connected AI assistants outside Aethos via the Model Context Protocol.
• Correction propagation: When an operator corrects a mistaken identity or fact, Aethos records the reason and feeds it into future extraction and matching passes.

Engagement Model and Workflow

Codos structures its engagements in three phases: a days-long diagnostic using agentic interviews and data analysis to identify the highest-value automation opportunities; a weeks-long pilot deploying the first automation and initial company brain; and an ongoing monthly transformation partnership to scale successful pilots and compound efficiency gains. The company explicitly offers on-premises deployment as a data privacy option, contrasting with cloud-only alternatives.

Who It's For

Codos targets executives, C-level operators, and AI teams at companies large enough to feel organizational friction but small enough to become AI-native quickly. The platform is particularly suited to people-heavy industries — services, engineering, support, and sales — where, as the site states, "most of their time is spent on work AI can do." The company also offers a dedicated solution for private equity portfolio companies.

Why It Stands Out

The Codos homepage draws a direct comparison between building an AI transformation stack internally versus using Codos, citing time-to-value (weeks vs. 6–9 months), battle-tested system architecture, on-prem deployment for data privacy, and dedicated FDE support as differentiators. The team's pedigree — CEO Dima Khanarin from McKinsey and Everclear Foundation, CTO Gleb Sidora from Meta and Lightspeed-backed Condukt, and CAIO Rahul Sethuram from Tesla and NASA — is positioned as a core differentiator combining management consulting rigor with AI engineering depth.