TechCrunch’s Equity podcast argued that whether you call it AI or super intelligence, only about 2% of consumers are buying it. We look at where that figure comes from, the executive order, the .si domain rush, Muse and Dots, and why the money in AI comes from businesses.
Meta launched Meta Enterprise Platform on 28 September 2026 to sell its AI stack to businesses and hired MongoDB chief executive CJ Desai to run it. We set out what the unit will sell, Desai’s record, why MongoDB’s shares closed 18.5% lower, how Meta’s pricing compares, and the questions businesses should ask before building on Meta’s enterprise AI.
Ema raised a $77 million Series B on 23 September 2026, led by Bengaluru-based Creaegis with Accel, Section 32 and Prosus increasing their stakes, taking total funding to $140 million on a valuation more than four times the 2024 round. This article separates bookings from revenue, does the arithmetic on the Wipro and Hitachi deployments, explains why outcome-based pricing is what makes the AI employee pitch coherent, and sets out the risks the announcement does not cover.
Enterprise AI rollout figures are the easiest numbers in banking to misread, and the coverage of M&T Bank published on 4 September 2026 is a clean example of why. The headline said the bank was expanding enterprise AI after years of technology overhaul. The flagship figure attached to it — more than 15,000 employees with […]
Google has extended Gemini Enterprise – Business edition so a team administrator can register a custom MCP server connection and hand Gemini a callable interface to systems Google will never build a connector for. This is a documentation-first walkthrough of what that actually involves: the Connected apps path versus the Google Cloud data store path, the four hard requirements that disqualify most existing internal tooling on day one (StreamableHTTP transport, a publicly trusted TLS certificate, a public HTTPS endpoint and a publicly reachable identity provider), the OAuth field-by-field configuration, the 100-enabled-actions cap, the project-level quotas, the Pre-GA status caveat, and the security exposure a public MCP endpoint creates.
Forward-deployed engineering has become the centre of the enterprise AI land grab. AWS is spending $1 billion to embed thousands of engineers with customers, Palantir’s decade-old playbook is now the industry default, and OpenAI and Anthropic hire for the role by name. This article explains what forward-deployed engineers actually do, why 95% of AI pilots failed without them, how the embedded learning loop works, what the talent shortage means, and how mid-sized businesses can buy the same loop at their own scale.
Wonderful, the enterprise agent platform, launched Agent Builder — an autonomous AI agent powered by Anthropic’s Claude that creates, tests and refines other AI agents end to end. With build times down up to 50%, early production issues down 20%, more than 60 enterprise deployments and a $2 billion valuation reached within a year, this article unpacks how the Wonderful Agent Builder works, why Claude powers it, and what agents that build agents mean for enterprise AI teams.
OpenClaw 2.0, released as v2026.8.1 on 31 August 2026 by Peter Steinberger and the OpenClaw team, turns the open-source agent harness into shared team infrastructure: persistent cloud sessions that colleagues can read, suggest to, draft in or join directly, multi-user Gateways with attribution and presence, a team Secret Store, Docker and Podman sandboxes and role-based permission modes. This analysis covers what the release ships, what “multiplayer” AI coding means in practice, where the security defaults still leave enterprises exposed, how it compares with Claude Code, Cursor, GitHub Copilot and Codex, and a practical adoption checklist.
TestingCatalog has found references to a prototype feature called Rooms in recent Gemini Enterprise builds — shared workspaces where teams collaborate with colleagues and with Gemini around one objective. Creating a Room means defining a goal, a playbook describing how Gemini should operate, and a knowledge base of connected files. This piece covers what the leak shows, how Rooms extends the Projects feature announced at Cloud Next 2026, how it compares with ChatGPT shared projects, Claude Projects and Copilot Pages, current Gemini Enterprise pricing, and what businesses should prepare while the feature is still an unannounced prototype.
QueryStory came out of stealth on 26 August 2026 with a $6 million seed round from Brightmind Ventures and New York Life Ventures at a $60 million valuation, and an unfashionable pitch: the problem with enterprise AI analytics is not speed, it is that nobody can tell whether the answer is true. This breakdown covers CEO Shapor Naghibzadeh’s route from Google’s Operation Aurora war room through six years of security tooling to co-founding Chronicle in Google X Labs, the founding team alongside CTO Stanley Yang and CPO David Glusic, the four mechanisms the platform is built on — SQL that surfaces automatically, an explicit confidence indicator, human review recorded in the platform, and narrative assembly that refreshes as the data moves — the argument against consumption-priced frontier-lab tools, TechCrunch’s hands-on test that produced in a few hours a space-activity visualisation that once took several weeks with a developer, the arithmetic of a $6M round at a $60M valuation, a due-diligence table for anyone evaluating AI analytics, and the four questions the launch leaves genuinely unresolved.
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