Yodu
Yodu is a managed operating environment and company operating system for AI employees. It helps founders and small teams assign recurring work to role-specific AI employees that use company tools, retain context, produce inspectable work, and pause risky actions for human approval.
At a Glance
- Founders and small teams
- Companies seeking recurring operational assistance without building an internal AI-agent platform
- Teams in support, sales/GTM, research, content/SEO, marketplace operations, and engineering
- Developers and companies that need workspace-scoped REST API or MCP automation
AI Tools by Yodu
(1)Yodu AI Employees MCP
Managed AI Employee Platform
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Latest News
How API.market uses Yodu to research and contact API sellers — case study updated with reviewed SEO, provider research, and outreach workflows
Why you can hand an AI employee real accounts — Yodu explains its container isolation, command-queue access, write-only keys, and approval gate
We replaced four permission tiers with one switch — Yodu simplifies employee tool access to an explicit per-employee switch plus approval controls
Operate a Yodu workspace from Claude Code with MCP — Platform MCP connection using curated workspace tools
Products & Services
A managed workspace in which teams create role-specific AI employees with company context, persistent memory, files, skills, tools, tasks, schedules, model access, permissions, and human approval rules.
The operating layer connecting company knowledge, objectives, targets, owned work, evidence, reviews, outcomes, experiments, and learning history around AI employees.
A workspace-scoped REST API for accessing and managing workspace context, employees, memory, tasks, channels, approvals, schedules, runtime health, and tools.
A curated MCP server that lets Claude Code, Claude Desktop, Cursor, and other compatible clients inspect a workspace, create work, configure employees, and manage supported settings through scoped credentials.
Market Position
Yodu positions itself as the management, governance, and infrastructure layer around persistent AI employees rather than as a chatbot or a single-purpose workflow bot. Its differentiation is the combination of role-based employees, company memory, durable files, task ownership, per-employee tool access, approval gates, evidence/review, and isolated managed runtimes. Publicly listed comparable projects include Aivah AI and Olano, which also describe AI employees or teammates for support, sales, and operations.
Leadership
Founders
Shashank Agarwal
Founder of Yodu, API.market, and Noveum.ai; former AWS SageMaker launch-team member. His public profile describes building $32M ML systems at Amazon.
Executive Team
Shashank Agarwal
Founder
Founder of Yodu, API.market, and Noveum.ai; former AWS SageMaker launch-team member. He personally provides setup and onboarding for the Founding 10 customers.
Founding Story
Shashank Agarwal built and operated a system of AI agents inside API.market, using separate channels, inboxes, tools, and OpenClaw agents. The setup worked but had scattered memory and files, difficult credential and tool management, fragile runtime infrastructure, and poor visibility into complete work. Yodu was created to turn that hand-built system into an operable product for founders and to provide the missing company layer around AI agents.
Business Model
Revenue Model
Subscription SaaS with founder-assisted onboarding. Yodu charges a monthly workspace fee; model-provider and connected third-party tool costs are separate. It does not charge per task or conversation, although fair-use safeguards apply to hosted usage.
Pricing Tiers
Paid from the first month with no free trial; includes a personal setup/account process with Shashank Agarwal and up to five active AI employees, including the Chief of Staff. Model providers and third-party services are billed separately.
Target Markets
- Founders and small teams
- Companies seeking recurring operational assistance without building an internal AI-agent platform
- Teams in support, sales/GTM, research, content/SEO, marketplace operations, and engineering
- Developers and companies that need workspace-scoped REST API or MCP automation
- Support investigation and preparation of customer replies
- Sales and GTM research, lead preparation, and reviewed outreach
- SEO and content research, search-demand analysis, and content improvement
- API-provider discovery and marketplace seller outreach
- Weekly operations reporting and recurring business workflows
- Engineering workflows involving GitHub pull requests while retaining human merge control
- API.market — internal case study and operating environment where Yodu is used for seller research, outreach, support investigation, reporting, SEO backlog review, and API-provider discovery