Coworker.ai Launches the First AI Agent with Deep Company Context, Backed by $13 Million Seed Round

Coworker.ai has today announced the launch of the world’s first AI agent that can independently research, plan, and execute complex work just like an experienced colleague. The company’s AI agent can answer, create plans, and execute complex, multi-step tasks across 25+ enterprise tools (like Jira, Slack, GitHub, and Salesforce), working as a reliable teammate that stays in sync with your team.

This is possible because Coworker is powered by OM1 – a proprietary memory architecture that tracks 120+ business dimensions like projects, teams, meetings, and documents and how they change, giving it full context of a company’s data, culture, and knowledge.

Also Read: Why multimodal AI is taking over communication

The launch is backed by a $13M seed round led by Jeff Huber, former SVP of Google Ads, Maps, and Workspace, now at Triatomic Capital. Other investors include Ramtin Naimi (Abstract Ventures), Mallun Yen (Operator Collective), Tim Young (Eniac Ventures), and Clark Golestani, Ken Hausman, and Jack Greenfield (K2 Access Fund). They join pre-seed investors Soma Capital, Focal VC, Mischief, and Karman Ventures, taking the total amount raised to-date to $16.5M.

Current AI tools lack context and understanding of a company’s internal knowledge

Despite the hype, AI tools haven’t lived up to the promise of making teams more productive. General-purpose LLMs are great at producing content based on public, internet-based information, but fail when internal company context is required. Specialized AI agents handle narrow tasks well, but can’t collaborate across teams or cross-department projects, leaving workflows fragmented and incomplete.

The result is that people waste hours re-prompting AI chats, uploading files and additional context, or correcting AI mistakes instead of doing meaningful work. Coworker acts like an AI teammate that deeply understands complex, cross-department work and can collaborate across the organization, turning one person into a team of tens, hundreds, or more.

“While there’s been a lot of progress in foundational model development and growing consumer AI applications, the open secret is that AI hasn’t had any real productivity impact inside companies yet,” said Alex Calder, Coworker.ai’s co-founder and CEO.

“That’s because so far AI has had very limited context on your company and work, which means it’s often unreliable and inaccurate, and ultimately difficult to trust with tasks.”

Coworker empowers teams throughout an organization:

• Sales – analyzes sales calls, creates proposals, drafts follow-up emails, helping close deals more quickly
• Engineering & Product – writes code, creates and reviews pull requests, automates release notes and tech docs, keeping developers focused on shipping new features
• Customer Success – tracks feedback, analyzes health metrics, flags emerging risks, ensuring customers are addressed proactively
• Leadership – generates real-time updates on team priorities, major issues and blockers, and company-wide trends, giving leaders a bird’s-eye view of top priorities

“We were blown away by Coworker’s architecture,” said Jeff Huber, Managing Director at Triatomic Capital. “The deep organizational context means it’s able to go far beyond surface-level answers to make it much more of an active teammate than an assistant. OM1 lays the groundwork for a whole new category of enterprise software.”

Also Read: Why AI’s Next Phases Will Favor Independent Players

“One customer asked Coworker to help bring an engineering sprint back on track,” said Bradford Church, Coworker.ai’s co-founder and Chief Product Officer. “Coworker scanned Jira, Slack, and GitHub, noticed a lagging feature build, created a new ticket, and drafted the code. That’s a huge shift from what AI assistants can do.”

Since Coworker handles sensitive and complex information, it is built from the ground up with security, privacy, source accuracy, and data permissions in mind. This is backed by compliance with leading standards like SOC 2, GDPR, and CASA Tier 2.

“Coworker has helped me tremendously by allowing me to spend less time manually tracking and searching for information that is important to me. I’m constantly surprised by the insights I get from asking it questions. It is an important part of my daily workflow,” said Noah Tutak, CPO at Curri.

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