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dodoAI

Category: AI Governance

dodoAI provides a Sovereign Agentic OS — a model-agnostic AI governance and operations platform for enterprises to control, verify, and audit AI agent-driven work in regulated industries. dodoAI was founded in 2022. The company is led by Hitoshi Murakami (村上 仁). Based in Tokyo, Japan. Team size: 11-50. Total funding raised: $1.74M. Latest round: Seed. Key investors include Genesia Ventures (lead), Quantum Leap Ventures, Mitsubishi UFJ Capital, Mitsui Sumitomo Insurance Venture Capital, Hideki Otsuka (Speee CEO).

Founded
2022
Headquarters
Tokyo, Japan
Team size
11-50
Total funding
$1.74M

Value proposition

Sovereign Agentic OS that enables enterprises to govern AI agents performing corporate work — monitoring, verifying, and auditing AI-generated outputs while maintaining human approval gates and full audit trails, deployable across public cloud, on-premises, or air-gapped environments.

Products and solutions

Sovereign Agentic OS (dodoAI) — AI governance layer with orchestration, enterprise-specific contextualization (knowledge graphs, RAG), integrated workspace (dodoAI IDE), management & analytics dashboard, multi-agent task management, flexible access controls, semantic digital twin for traceability

Unique value

Agent-neutral, model-agnostic governance platform that lets enterprises retain sovereignty over their AI agents — supporting OpenAI, Anthropic Claude, Google Gemini simultaneously — with deployment flexibility across AWS, Azure, GCP, on-premises, and air-gapped environments, plus full audit trail and human-in-the-loop approval gates.

Target customer

Large enterprises in regulated industries: financial services, manufacturing, telecommunications, energy, insurance

Industries served

Financial Services, Insurance, Manufacturing, Telecommunications, Energy, Automotive (SDV)

Technology advantage

Semantic Digital Twin architecture connecting intent, requirements, design, implementation, verification, execution, and observation as semantic information; Agent-neutral design independent of specific LLMs or AI agents; Sovereign (enterprise-controlled) governance layer above the capability layer; proven 35-98% labor reduction in pilot with major P&C insurer

How they differentiate

Unlike general-purpose AI governance tools focused on compliance/risk, dodoAI is purpose-built as a Sovereign Agentic OS — an operational governance layer that controls, verifies, and audits AI agents performing actual corporate work (not just monitoring model outputs). It is model-agnostic and agent-neutral, supports multi-cloud/on-prem/air-gap deployment, and embeds human approval gates directly into the workflow. Its Semantic Digital Twin provides full traceability from requirements to execution.

Main competitors

IBM Watson Governance Suite, Microsoft Responsible AI Standard & Azure AI Content Safety, Datatron, OneTrust, H2O.ai

Key partnerships

Scalar (ScalarDB integration for AI-driven development framework), STARS KOBE (official partnership for sports/web3/AI), Genesia Ventures (lead investor)

Notable customers

Major Japanese property & casualty insurer (pilot project), automotive (SDV-related development), financial services, telecommunications, energy enterprises (trial deployments)

Major milestones

Founded May 2022 as 58 Inc., Rebranded to dodoAI Inc. on June 1, 2026, Raised ¥280M seed round led by Genesia Ventures (June 2026), Partnership with Scalar for AI-driven development framework (October 2025), Pilot with major P&C insurer achieving 35-98% labor reduction

Growth metrics

34 employees (as of June 2026); offices in Tokyo, Ho Chi Minh City, Hanoi

Market positioning

Early-stage Japanese startup targeting the emerging enterprise AI governance and agent orchestration market, with a focus on regulated industries in Japan. Positioned as a "Control Plane" for enterprise AI agents — a white space between AI model providers and enterprise IT governance.

Geographic focus

Japan (primary), with offices in Vietnam (Ho Chi Minh City, Hanoi) for engineering

About Hitoshi Murakami (村上 仁)

Ex-Accenture Song Senior Manager; Ex-Scalar (via secondment); Keio University. Started career as enterprise core systems engineer, later moved into Web3/blockchain, DID/VC, and AI governance.

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