Tasklet Raises $20 Million to Build AI Agent Operating System for the Future of Work
Tasklet, an artificial intelligence startup developing a cloud-based agent operating system for knowledge workers, has raised $20 million in funding to accelerate product development and expand its platform for automating business processes. The financing was led by Union Square Ventures and Lightspeed Venture Partners, with participation from Y Combinator, Afore Capital, and prominent technology investors including Jeff Dean, Patrick Collison, and John Collison. The round valued Tasklet at $175 million.
Founded by Andrew Lee and Jonny Dimond, Tasklet is building an AI agent platform designed to help people automate work across multiple software applications. The company’s technology allows users to describe tasks in natural language, after which AI agents connect with business tools, execute workflows, and complete actions on behalf of users. Tasklet positions its platform as an operating system for AI agents that can replace manual processes across knowledge work environments.
The newly raised capital will support Tasklet’s efforts to expand its AI agent infrastructure, improve integrations, develop enterprise features, and scale its product globally. The company plans to invest in deeper connectivity with workplace applications, stronger security and compliance capabilities, improved agent performance, and additional tools that allow organizations to deploy AI agents across teams.
Tasklet was founded around the idea that existing software applications require employees to manually move between multiple systems to complete routine business processes. Workers often switch between email platforms, customer relationship management systems, project management tools, databases, and other enterprise applications to complete tasks. Tasklet aims to simplify this process by creating AI agents that can interact with those systems directly.
The company’s platform connects with thousands of integrations, including APIs, MCP servers, and browser-based systems that do not provide direct integrations. Tasklet’s AI agents can perform tasks such as updating customer relationship management systems, sending emails, processing data, generating reports, and managing workflows. The agents can also operate continuously in the cloud and respond to triggers such as schedules, messages, and automated events.
Union Square Ventures, which co-led the investment, is a venture capital firm known for backing technology companies that create new categories and platforms. The firm said its investment in Tasklet reflects its belief that AI agents represent a major shift in how people interact with software and complete work.
Lightspeed Venture Partners, which also co-led the round, invests in technology companies across enterprise software, artificial intelligence, consumer technology, and other sectors. Its participation highlights investor interest in AI infrastructure companies developing tools for the next generation of workplace automation.
Y Combinator, one of the world’s leading startup accelerators, also participated in the financing. Tasklet joined Y Combinator’s Spring 2026 batch, with the company founded by Andrew Lee, who previously founded Firebase and later worked on Shortwave.
Afore Capital participated in the funding round as an early-stage investor. The firm focuses on supporting technology startups at the earliest stages of development and has invested in companies building software and artificial intelligence products.
Tasklet’s development builds on experience from Shortwave, an AI-focused email company founded by Andrew Lee and others. The team initially developed AI agent capabilities within Shortwave before creating Tasklet as a standalone platform focused specifically on workplace automation. According to the company, user interest in its AI agent features led the team to expand beyond email into a broader operating system for business workflows.
The funding comes as businesses increasingly explore AI agents as a way to improve productivity and automate repetitive tasks. Unlike traditional software tools that require users to manually operate different applications, AI agent platforms aim to allow users to delegate tasks and let software systems complete multi-step processes independently.
Tasklet is targeting this emerging market by building infrastructure that allows AI agents to interact with existing workplace software. The company believes that the future of enterprise software will involve AI systems acting as intermediaries between employees and the applications they use every day.
The startup has reported rapid growth since launching its standalone platform. Tasklet said it experienced significant revenue growth in 2026 and reached a $5 million annualized run rate before announcing the new financing.
With the $20 million investment secured, Tasklet plans to continue expanding its AI agent platform and developing tools that enable organizations to automate more complex workflows. The company’s long-term vision is to create a cloud-based operating system where AI agents become a central way for employees and businesses to complete work.
As artificial intelligence continues reshaping enterprise software, Tasklet aims to position itself as a foundational platform for the emerging agent-driven workplace, helping organizations connect their tools, automate operations, and allow employees to focus on higher-value activities.