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Early-stage NYC AI links, broader context, and official posts from mapped companies.
13 news links · 54 company postsUpdated 2h ago
News links
So far in 2026, companies in sales, marketing and CRM categories have pulled in around $2.7 billion globally in seed- through growth-stage funding, per Crunchbase data.
The company made a series of other announcements during earnings, including a new commercial contract, a pilot program in Canada, and a collaboration.
AI startup Pit is led by the co-founders of European scooter giant Voi and backed by a16z, which is leading the startup’s $16 million seed round.
Genesis AI, a startup that raised a $105 million seed round to build foundational AI for robotics, has unveiled its first model, GENE-26.5, but also a demo showcasing a set of rob…
The founders of Degen spent years inside the biggest platforms watching how the systems actually work. What they saw convinced them to build something that rejects the entire mode…
Broader early-stage AI context for the NYC map.
The ad comes from Artisan, the AI startup behind billboards urging businesses to "stop hiring humans."
Most revenue teams make contact with fewer than one in ten inbound leads before the opportunity goes cold - a gap that email drips and manual calling have consistently failed to c…
We recently spoke with Tiffany Luck, a partner at New Enterprise Associates about the increasing relevance of vertical AI, how startups can carve out durable advantages in a world…
Broader early-stage AI context for the NYC map.
Broader early-stage AI context for the NYC map.
The artificial intelligence coding revolution comes with a catch: it's expensive. Claude Code , Anthropic's terminal-based AI agent that can write, debug, and deploy cod…
Anthropic released Cowork on Monday, a new AI agent capability that extends the power of its wildly successful Claude Code tool to non-technical users — and according to company i…
Company posts
Congratulations again to every participant for the outstanding work and effort throughout the hackathon. https://t.co/6ih6NnVLq9
We’d also like to recognise our Honourable Mentions: Kleisli Triple, FlowGuard, MARS, Caplean, and totientfunction. https://t.co/6ykWAauMTX
2nd Prize goes to QueryBridge by Vimala S. and Durwasa Chakraborty for achieving end-to-end verification with a working LLM → jq → SQL pipeline. https://t.co/UZ29SFp2i5
1st Prize goes to provedSRE by Sachin Singh for delivering the highest-graded project, recognised by the judges for its realistic Kubernetes model and strong theorem proving. https://t.co/xboesWdoYJ
Congratulations to all our Hackathon winners on their well-deserved success, and thank you to everyone who helped make this event such a success. The creativity, technical depth, and innovation across the submissions were incredible to see. https://t.co/SJSjkvaY2J
To kick off our Nano Banana promo, we're spotlighting what makes these models worth your time. Nano Banana Pro holds multi-reference cleanly, keeps character consistency across generations, and renders detail other models flatten. Nano Banana 2 and Pro, both on us until July https://t.co/0gExNY5g0e
Looking forward > looking backward. If you manage multiple companies like Jason Adams at Signal Ventures LLC, you know how the admin can quickly swell into full-time hires as you try to stay on top of and make sense of the data. Or, you can use tools like @DualEntry to do it https://t.co/lTBoKNZRYB
Verified autonomy isn't just a concept. At the LeanLang for Verified Autonomy Hackathon, it became a working problem. Indian Institute of Science (IISc) Bangalore hosted people for two days who believe AI needs to be more than capable. It needs to be provably safe. The https://t.co/DT6NdN3giR
Accounting is no longer just about recording the past. It's about real-time visibility and proactive risk management. We built Anomaly Detection to bridge that gap. Our AI-powered detectors work 24/7, automatically flagging anything that seems out of place, based on your https://t.co/MHa1lTK1lZ
Our poster session at @iclr_conf 2026 made one thing clear: agents are moving fast, but evaluation isn’t keeping up. Mowafak Allaham presented recent work on web agent evaluation (https://t.co/A2ymH6QMZt) at the AgentWild workshop. Across the conference, agent research is https://t.co/8SLbvQA14E
We explore this in our latest blog with contributions from Professor Siddhartha Gadgil (Indian Institute of Science and Chief Scientist at Emergence India Labs): https://t.co/6xls5Mz8Tt https://t.co/gWMjrefrci
NYC 🚨 We're presenting at Agentics NYC on May 6 alongside Cognee, Nori, and Modal. Our founding engineer @dvargasfuertes on why personal AI agents are replacing the SaaS tools you used to pay for, and how our team already made the switch. Dinner included! Come hang 👾
That layer is verification. It’s what moves AI from probability → dependable action. https://t.co/7hLY8wA4dO
Stronger models alone won’t solve this. What matters is the layer that decides whether an AI output should: • execute • retry • escalate • or stop. https://t.co/P0W5PICXZ5
Enterprise environments require guarantees: • correct • compliance • auditability • repeatability Autonomy only works when these constraints are built in. https://t.co/DxsYoNHRlQ
The real question isn’t “Can AI produce an answer?” It’s: “Was the task actually completed correctly?” Without that, systems remain assistants — not agents. https://t.co/V2SZc7NAYe
LLMs are great at generating outputs. But enterprise AI isn’t about generation. It’s about reliable execution. Agentic AI requires more than models. https://t.co/KJ6yHIGxDn
All six are live today. Comment "demo" if you want a walkthrough on your own workflows. Read the full release: https://t.co/nLVo7C6v9u
→ Pick the model behind your work. Brightwave auto-selects the best engine for each task. Want a different one? Override it from a dropdown. https://t.co/8p8zk2tR4C
→ Edit Excel inside Brightwave. Open the model, edit assumptions, rewrite formulas. No download, no re-upload. Your keyboard shortcuts carry over. https://t.co/aqBYwmpPh0
→ Talk to your agents. Voice mode lets you ask follow-ups hands-free. Upload earnings calls or management interviews—your agent transcribes and cites them alongside everything else. https://t.co/0BQEkbtUnW
→ Share a memo without a login. Create shareable links for outputs, send it to a partner, an LP, or a colleague, revoke any time. https://t.co/QVYtXlXBaM
→ Never lose a version. Word docs, decks, Excel models—full history on every deliverable. Preview a prior version, restore with one click. https://t.co/Kq7ZCxgMX8
If you live in deal docs, six things just got easier in Brightwave 🧵
→ Drop in the whole data room. Workspaces now hold 10,000 documents—full filing histories, full portfolios, one project. https://t.co/y1wmgVLuiH
We’re excited to be heading to @iclr_conf 2026 in Brazil! We’ll be presenting our poster: “Emergence WebVoyager: Toward Consistent and Transparent Evaluation of (Web) Agents in the Wild” at the workshop “Agents in the Wild: Safety, Security, and Beyond.” Shoutout to Mowafak https://t.co/wLokB2kSxD
You onboard a new analyst by showing them the format your firm delivers in. They learn it once. Every deliverable after lands share-ready. Templates in Brightwave work the same way. Upload your IC memo, deal deck, or model once, agents build every future output directly into it. https://t.co/m4Z38XIH2r
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