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Capital sprinted toward “systems that act”: monster frontier-lab checks, enterprise automation that touches revenue, and infrastructure that makes open models usable in production.

Let’s take a look further:

Apple just secretly added Starlink satellite support to iPhones through iOS 18.3.

One of the biggest potential winners? Mode Mobile.

Mode’s EarnPhone already reaches 490M+ users that have earned over $1B, and that’s before global satellite coverage. With SpaceX eliminating "dead zones," Mode's earning technology can now reach billions more in unbanked and rural populations worldwide.

Their global expansion is perfectly timed, and investors like you still have a chance to invest in their pre-IPO offering at $0.52/share.

With their recent 32,481% revenue growth and newly reserved Nasdaq ticker, Mode is one step closer to a potential IPO.

Please read the offering circular and related risks at invest.modemobile.com. This is a paid advertisement for Mode Mobile’s Regulation A+ Offering.

Mode Mobile recently received their ticker reservation with Nasdaq ($MODE), indicating an intent to IPO in the next 24 months. An intent to IPO is no guarantee that an actual IPO will occur.

The Deloitte rankings are based on submitted applications and public company database research, with winners selected based on their fiscal-year revenue growth percentage over a three-year period.

🔥 Biggest AI Funding Rounds This Week

Ineffable Intelligence – $1.1B (Seed) – London, UK
Frontier lab building “learning-from-experience” AI systems (a bet that next-gen RL-style training will out-compete pure internet-scale text).

Aidoc – $150M (Series E) – New York, NY
Clinical AI that flags urgent findings in imaging so hospitals triage faster (FDA-cleared workflow automation where seconds matter).

Hightouch – $150M (Series D) – San Francisco, CA
Agentic marketing platform that turns warehouse data into personalized campaigns at scale (because “right message, right user” is now an API problem).

Netomi – $110M (Series C) – San Mateo, CA
AI customer service agents that resolve real issues (the fastest path to ROI is shrinking human handle-time without nuking CSAT).

JuliaHub – $65M (Series B) – Cambridge, MA
Agentic AI for industrial digital twins and simulation (making engineering iteration loops dramatically cheaper and faster).

Casa – $27M (Series A) – San Francisco, CA
AI + ops layer that “runs your house” with proactive maintenance and human pros (turning homeownership into a managed-service subscription).

Featherless.ai – $20M (Series A) – Singapore
Serverless inference for 30,000+ open models (a “pick a model, ship the feature” layer without owning GPUs).

🗓️ Upcoming Conferences:

  • Google I/O – May 19–20, 2026 | Mountain View, CA + Online | More Info

  • Robotics Summit & Expo – May 27–28, 2026 | Boston, MA | More Info

  • AI Engineer Singapore – May 15–17, 2026 | Singapore | More Info

  • ICRA 2026 – Jun 1–5, 2026 | Vienna, Austria | More Info

  • CVPR 2026 – Jun 3–7, 2026 | Denver, CO | More Info

  • Automate 2026 – Jun 22–25, 2026 | Chicago, IL | More Info

PS: Check out our full list here!

🦄 Startups to Watch:

Dex (Seed)
Recruiting is the ultimate bottleneck market: if Dex nails signal > noise for AI talent, it becomes a compounding advantage for every hiring manager who can’t wait 90 days.

Featherless.ai (Series A)
Open-model usage is exploding, but infra friction kills momentum—Featherless is positioning as the “one API” layer teams can standardize on without vendor lock-in vibes.

Ineffable Intelligence (Seed)
Yes, it’s a mega-seed, but the why matters: training that learns by interaction is the clearest attempt yet to leapfrog “more data, more params” as the only play. Also founded by former Google DeepMind researcher.

📡 Signals – What This Week Tells Us:

  • Frontier labs are speedrunning the cap table: a $1.1B seed is the new “hello world” for top-tier research talent.

  • Healthcare AI is still printing venture conviction: big rounds keep landing where adoption is measurable (triage, throughput, outcomes).

  • “Revenue ops automation” is a funding magnet: marketing + support are where AI can self-fund fastest via conversion lift and ticket deflection.

  • Open-model infrastructure is graduating from hobby to utility: inference layers are being financed like picks-and-shovels, not science projects.

  • Cross-border deal risk just got louder: regulators are now willing to unwind AI acquisitions mid-flight.

🤝 Mergers & Acquisitions:

  • Nebius → Eigen AI (≈$643M): AI cloud buying inference optimization to cut token burn and boost margins.

  • Cognizant → Astreya (≈$600M): IT services consolidating AI infrastructure + workplace ops to own more of the enterprise AI stack.

  • Meta ↔ Manus (deal unwinding ordered by China): the rare “reverse-acquisition” reminder that geopolitics is now a term sheet clause.

  • Circus → K-Robotics (terms undisclosed): robotics IP + assets consolidation as food automation players load up on patents and know-how.

M&A Pulse: Buyers are paying to own the bottlenecks: inference efficiency, enterprise delivery, and defensible robotics IP

Beyond The Feed:

The Pentagon says GenAI.mil has already been used by 1.3M+ Defense Department personnel (in five months) as it signs new agreements with leading AI companies.

Meme of the Week:

📬 Enjoyed the intel?

See you next week.

Until then: ship fast, raise smart, stay curious.

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