Coworker.ai has launched a groundbreaking AI agent designed to act as an autonomous teammate, leveraging deep company context to execute complex, multi-step tasks across enterprise tools. Powered by its proprietary Organizational Memory (OM1) architecture, the launch is supported by a $13 million seed funding round, marking a significant step in transforming enterprise productivity.
Coworker.ai launches AI agent with deep organizational context.
Powered by OM1, tracks 120+ business dimensions for accuracy.
Integrates with 25+ tools like Jira, Slack, GitHub, Salesforce.
Backed by $13M seed round led by Triatomic Capital.
Enhances productivity across sales, engineering, and leadership.
Ensures security with SOC 2, GDPR, and CASA Tier 2 compliance.
Coworker.ai’s AI agent is engineered to understand and navigate complex company data, culture, and knowledge, unlike traditional AI tools that struggle with internal context. Powered by OM1, it tracks over 120 business parameters, including projects, teams, and documents, enabling it to perform tasks with precision. “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.
The AI agent integrates with over 25 enterprise tools, including Jira, Slack, GitHub, and Salesforce, to streamline workflows across departments. For example, it can analyze sales calls, draft code, or generate real-time leadership reports. “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.” This capability reduces manual work and boosts efficiency.
Coworker.ai empowers various teams: sales teams benefit from faster proposal creation, engineering teams automate code reviews, customer success tracks feedback proactively, and leadership gains real-time insights into priorities. “Coworker has helped me tremendously by allowing me to spend less time manually tracking and searching for information that is important to me,” said Noah Tutak, CPO at Curri. The agent’s ability to collaborate across departments sets it apart from fragmented AI solutions.
Built with security and privacy in mind, Coworker.ai complies with SOC 2, GDPR, and CASA Tier 2 standards, ensuring safe handling of sensitive data. The $13 million seed round, led by Jeff Huber of Triatomic Capital, with participation from Abstract Ventures, Operator Collective, and others, brings total funding to $16.5 million. “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,” said Huber.
Coworker.ai’s AI agent redefines enterprise AI by acting as a trusted teammate with deep company context. Its ability to execute complex tasks, integrate with key tools, and maintain high security standards positions it as a game-changer for organizational productivity.
Coworker is the world's first general-purpose AI teammate that can research, plan, and execute complex work like an experienced colleague. Powered by a revolutionary memory architecture (OM1), Coworker helps teams focus on the most impactful and engaging work that really matters by automating the rest. Founded by former Uber executives, Alex Calder and Bradford Church, Coworker.ai is backed by leading Silicon Valley investors.
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