1247 summarised stories about Enterprise AI, each linking back to the original source. Browse all topics →
Product Hunt 1 month ago 34
Toki launched its AI Executive Assistant to schedule group meetings by emailing attendees, negotiating times, and sending invites. The update is Toki’s 3rd launch of this assistant. It changes scheduling and follow-ups by automating time negotiation, prioritization, and day planning for free.
Tech.eu 1 month ago 3
Bits & Pretzels will hold its 2026 edition in Munich from September 28 to 30, 2026 during Oktoberfest, drawing 7,500 participants including 2,000 investors. The program adds a CIO AI Summit and focuses on applied AI alongside areas like defense, fintech, deeptech, and space technology. The event continues its founder-centric formats—like the Startup Exhibition and structured networking—while pairing them with keynote-style conversations from Steven Bartlett and Trevor Noah.
Sylvain Kalache 1 month ago 43
AI-assisted incident response tools increasingly inspect alerts, generate hypotheses, query telemetry, and even apply fixes for routine outages, reducing the need to wake human engineers at night. The piece cites that modern turbine engines experience fewer than one in-flight shutdown per 100,000 engine flight hours. As AI handles more common incidents, engineers may lose practice and face longer or harder recovery for complex, unfamiliar failures unless they use simulations and hands-on drills to maintain skills.
Microsoft 1 month ago 26
Microsoft is rolling out Project Opal in Copilot to execute user-described, multi-step office tasks using a managed Windows 365 Cloud PC. The service limits users to up to three jobs running at the same time, closing the oldest job if a fourth starts. Users can steer or take over control during execution, then hand back to Opal to continue and finish the work.
Tech.eu 1 month ago 50 ● 2 sources
Fluencify raised an oversubscribed $4.3 million pre-seed round to scale its creator campaign platform. The funding includes board participation from byFounders via Magnus Hambleton. The company plans to hire engineers in Stockholm, open a New York office, expand US sales, grow its creator network, and develop the platform further for existing clients.
Product Hunt 1 month ago 22
Tables.so announced its 2nd launch for an AI tool that finds, qualifies, and enriches potential customers from a contact database. It processes 300M+ verified contacts to produce a scored list with emails, phone numbers, and cited sources. The result is a customer list you can review and sync to HubSpot, Pipedrive, and Attio, including use on LinkedIn and inside Claude.
Tech.eu 1 month ago 3 ● 3 sources
European tech funding and exit activity were covered in a weekly recap that tracked more than 50 deals worth over €4.6 billion and more than 10 exits across Europe. In August, startups raised €3.2 billion across 165 funding deals and recorded 37 exit transactions, with both investment and deal activity sharply down from July. The roundup also highlights AI as a major funding focus and lists specific funding rounds and acquisitions that filled out the month’s slower pace.
Tech.eu 1 month ago 19 ● 2 sources
Cato raised a €6 million seed round to expand its AI platform used by businesses to find, analyse, and bid on public tenders. The platform monitors more than 27,000 sources in real time. After the funding, Cato will further develop the platform, expand sales operations, and grow its team.
Tech Funding News 1 month ago 46 ● 2 sources
Cato raised €6 million in seed funding, led by Keen Venture Partners, to use AI for bidding on Italy’s public tenders. The round is part of a €309.7 billion Italy tender market in 2025. With the new capital, Cato will improve its bid-management software, expand its team, and move into additional sectors beyond Italy.
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20 October 2026
Meta’s big bet is still the loudest signal in AI today: Mark Zuckerberg and Alexandr Wang framed the company’s next phase as a full-stack build—own the infrastructure, then monetize agent-style tools beyond ads—with projected spending of $100 billion to $200 billion. The point isn’t just better models; it’s vertical control. Meta is scaling its own compute and, if systems like its “Muse” move from demos to dependable product, could shift revenue from impressions to interactions.
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