A ship’s safety manual and a financial adviser’s client file have something in common: the wrong version can cause real trouble. M-Files gives documents context, rules, and somewhere useful to go.
The Finnish software company spent two decades arguing that folders are the wrong way to run knowledge work. Its new Microsoft 365 alliance turns that contrarian idea into a practical bet on governed, AI-ready documents - if customers can handle the setup.
Arc made browser tabs feel new, then became too novel for the audience it needed. The company’s second act - a simpler AI browser called Dia - attracted Atlassian, a $610 million deal, and a harder test: turning taste into a business.
Autostep is a San Francisco startup building a desktop app that installs across an organization to map how people actually work, surface repetitive high-cost tasks, and rank them by cost and impact so leaders know what is worth automating. Framed as "the P&L for knowledge work," it measures the ROI of both human effort and AI agents, then recommends whether to build an agent, change a process, standardize a workflow, or use software the company already pays for. Founded by Aidan Pratt and backed by Y Combinator (Spring 2026 / P26) and Neo.
Poly is an intelligent cloud file browser built for the AI era. It replaces Finder and File Explorer with a natural-language, multimodal interface that stores, tags, summarizes, searches, and generates across terabytes of text, PDFs, docs, images, audio, video, and URLs. Powered by a proprietary embedding model called Polyembed-v1, Poly emerged from stealth in November 2025 with $8M in seed funding led by Felicis. Founded by Abhay Agarwal, the company pivoted from AI 3D-asset generation to reinvent the file system itself.
Hebbia is a New York-based enterprise AI company that builds Matrix, an agentic platform for analyzing huge volumes of documents. Instead of a single chatbot guessing at an answer, Matrix dispatches a swarm of AI agents across thousands of files - PDFs, spreadsheets, presentations, emails - and returns structured, fully cited answers in a grid. It is used by asset managers, investment banks, law firms and Fortune 100 companies to compress work that took analysts days into minutes. Founded in 2020 by Stanford PhD dropout George Sivulka, Hebbia raised a $130M Series B led by Andreessen Horowitz in 2024 at a reported $700M valuation.