Highlight secures $40M to unify fragmented work tools
Productivity startup Highlight has raised a new $40 million funding round led by venture firm Khosla Ventures, aiming to tackle one of modern work’s biggest headaches: information scattered across dozens of apps.
The company is building a shared “memory layer” that sits on top of tools such as Slack, Figma and Linear, allowing teams to search, track and reconnect related work without constantly switching contexts or losing key decisions in long message threads.
A shared memory layer for the modern SaaS stack
Highlight positions its platform as connective tissue for the cloud software stack. Instead of replacing existing tools, it integrates with them, indexing conversations, design files and engineering tasks into a unified workspace.
By applying AI-powered search and context awareness, the startup aims to surface the right discussion, document or ticket at the moment it is needed. That approach reflects a broader shift in the productivity market, where the challenge is no longer access to tools but managing the explosion of data they generate.
Solving context loss across Slack, Figma and Linear
Teams increasingly rely on Slack for communication, Figma for product and design collaboration, and Linear for engineering and issue tracking. While each platform is powerful on its own, critical information often becomes siloed. Product decisions made in chat may never make it into project trackers, and design feedback can be buried under unrelated discussions.
Highlight aims to reduce this friction by automatically linking related items across tools, preserving a persistent trail of decisions, assets and tasks. The company argues that this shared memory layer can cut down on duplicated work, reduce misalignment and accelerate product delivery.
Investor confidence in AI-first productivity platforms
The round led by Khosla Ventures underscores sustained investor interest in AI-driven productivity software, even as broader tech funding has cooled. Backers are betting that organizations will pay for systems that help knowledge workers navigate increasing complexity and information overload.
With fresh capital, Highlight is expected to expand its engineering team, deepen integrations with leading SaaS tools and refine its AI algorithms to better understand the relationships between messages, designs and tickets. As enterprises continue to adopt specialized apps, demand for a unifying intelligence layer is likely to grow.