The Certinia at Dreamforce event argued that AI is reshaping professional services from hourly labor toward fixed-bid and outcome-based delivery. Certinia said it grew from 10 packaged agents and 64 Veda Intelligent Actions to 24 agents and 135 actions, with more than 300 planned by year’s end. The shift moves firms to capture full lifecycle context for agent-driven work where trust and risk acceptance, rather than time spent, determine pricing and delivery.
Ahad Ali’s Tabby uses AI to turn bookkeeping into an automated, real-time financial dashboard for small businesses instead of software-driven manual accounting workflows. After 14 months, Tabby has 5,500 small businesses using it and about $100,000 in annual recurring revenue, while the team is raising $1 million in pre-seed funding. Tabby Talk, a natural-language interface for the product, is set to launch, shifting account management toward a subscription and away from traditional accountant-led work.
Salesforce unveiled AIforce and its Enterprise AI Harness concept at Dreamforce 2026, while theCUBE Pod also covered Nscale’s plan to go public after it filed for an IPO.
FintechOS raised $28m in equity and debt from existing investors and Santander Corporate Investment Banking. The funding round totals $28m. It will expand in the US and Europe and scale up its AI technology while reporting first-half 2026 profitability.
DeepL CEO Jarek Kutylowski said the company is not aiming to IPO soon, arguing that staying private offers advantages. He pointed to upcoming IPOs of OpenAI and Anthropic as a reason public markets would be difficult for AI firms this year. As a result, DeepL’s leadership is signaling continued stability in its ownership structure rather than pursuing an immediate public listing.
McKinsey argues that CEOs should protect scaling new ventures from core-business governance, teams, and controls as AI makes building and scaling faster. Successful ventures now reach $10 million in revenue within 31 months on average, down from 38 months previously, and break even with 40% less capital. CEOs are advised to choose where the venture sits relative to the core, run a portfolio of multiple bets, fund based on customer/commercial evidence, and prevent premature corporatization so the venture can contribute a larger share of enterprise revenue.
Frontier Labs companies—Microsoft, Google, Meta, Anthropic, and OpenAI—have independently shifted toward a Palantir-style strategy for deploying AI inside institutions rather than focusing only on frontier model training. Within the last four months, they deployed $30B of capital, including acquiring or funding four ex-Palantir startups, and they are hiring 9,000+ Forward-Deployed Engineers. The change moves emphasis toward trusted, institutional knowledge access and integration work to turn machine outputs into economic value, which the article argues Palantir already figured out.
Apple announced the iPhone Duo at its iPhone hardware event, John Ternus’s first major product launch since taking over as CEO. The event marked Ternus’s debut less than two weeks after he replaced Tim Cook. Mark Gurman says Ternus is pushing a clearer AI point of view while Apple’s near-term AI progress still leans on existing devices, with more AI-native hardware like a smart home hub expected in roughly the next 1.5 years.
Plane announced Plane Agents, adding AI agents to its work-graph workspace so users can assign tasks, trigger them on updates, and schedule agent runs alongside people. Plane says 50,000+ teams in 63 countries already run Plane. The change lets paid plans’ included AI credits power agents that triage requests, draft specs, run standups, and flag delivery risks.
The European Commission’s AI Office will host the Apply AI Summit in Brussels to focus on moving European organizations from AI experimentation to real-world adoption. The summit is scheduled for 17 November 2026, with about 900 people attending in person and up to 2,500 joining online. It will feature European AI use cases and startup awards and will discuss measures such as €1.3 billion in 2025–2027 funding calls and EU–national strategy alignment to accelerate scaled AI deployment.
Metris Energy raised a $5 million seed round to build a unified data layer for managing energy assets, and introduced Metria AI to handle complex operational tasks. The funding brings its total to $7.5 million. The platform will expand its agentic capabilities and extend coverage beyond solar into wind and CHP while pushing further across Europe, especially Germany.
Ursula von der Leyen argued that Europe should focus on moving AI from demonstrations on screens into real-world applications. She pointed to 13% as part of her cited figures on the effort. The emphasis shifts from showcasing AI to deploying it more broadly in practical settings.
V7 uses GPT-5.6 to turn scattered company files into context agents that can complete complex, source-linked work. The setup is based on GPT-5.6. As a result, institutional memory moves from disconnected documents into reusable context for AI agents, with outputs tied to sources.
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