knowledge-work
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M-Files Asia Pacific: Give every document a job.
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.
Give Claude the Whole Assignment
Claude has grown from a careful chatbot into a workbench for writing, research, code and files. It rewards people who bring context, judgment and a job worth finishing - but its shifting usage limits still demand a little housekeeping.
M-Files Declared War on Folders. Then It Moved Into Microsoft’s House.
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.
The Browser Company Built a Browser People Loved - Then Sold the Pivot for $610 Million
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
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
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
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.
George Sivulka
George Sivulka is the founder and CEO of Hebbia, the AI platform that turns piles of unstructured documents into answers for asset managers, banks, and law firms. He cold-called NASA as a teenager, finished a Stanford math degree in 2.5 years, then walked away from a fully funded PhD to build software that lets AI agents do the multi-step grunt work of professional analysis. By 2024 Hebbia had raised $130M at a $700M valuation on $13M of profitable revenue, with Peter Thiel, Andreessen Horowitz, Index Ventures, and Google Ventures behind it.
Cal Newport
Cal Newport is a Georgetown University computer science professor and bestselling author who has shaped how a generation of knowledge workers thinks about attention. He coined the modern usage of 'deep work,' argued for 'digital minimalism,' and most recently introduced 'slow productivity.' He has never opened a social media account.
Luke Kim
Luke Jinu Kim is the Founder and CEO of Liner, a San Francisco-based AI search engine used by over 12 million people across 220+ countries. Starting with $50,000 in seed money and a month on a Silicon Valley Airbnb, he turned a Chrome highlighter into the world's #2 AI search product — ranked four consecutive times on a16z's Top 100 Gen AI Consumer Apps list, with 2024 revenue up 341% year-over-year and $32M raised to date, including a $29M Series B backed by Samsung Venture Investment.
Joseph Semrai
Joseph Semrai is a Thiel Fellow and serial AI builder who dropped out of Stanford at 20 to found Context, the world's first AI-native office suite. Context raised $11M in seed funding at a $70M valuation from Lux Capital, Qualcomm Ventures, and General Catalyst, and launched to automate an estimated 2.5 trillion hours of annual knowledge work. Before Context, Semrai built Friday - the world's first internet-connected LLM chatbot (later acquired by Andi Search) - and RealityGPT, a wearable GPT-4 device, as a Stanford freshman. He is known for assembling elite engineering teams and building AI products that reach millions of users.
Ethan Mollick
Ethan Mollick is an Associate Professor at the Wharton School of the University of Pennsylvania, co-director of the Wharton Generative AI Labs, and one of the most widely read voices on artificial intelligence in practice. Author of the 2024 New York Times bestseller 'Co-Intelligence: Living and Working with AI,' his newsletter 'One Useful Thing' reaches 429,000+ subscribers. His landmark 2023 BCG study on AI and knowledge workers - the 'Jagged Frontier' research - became the empirical bedrock for how organizations understand AI's real impact on work. Named one of TIME's 100 Most Influential People in AI.