Congratulations to GV portfolio company @estuarybio on its launch!
The team is developing gene therapies targeting the root cause of inherited kidney disease. We're proud to back their science-driven approach and mission to improve patients' lives.
Software was built for people or machines. @Attio is building for a future with both. Today, the team is introducing their hybrid architecture, a platform built for agentic revenue, designed for a world of people AND agents. Congrats to the whole team on this launch! 👏
In the age of agents, systems of record have never mattered more. They’ve also never been less prepared for what’s coming.
Today, we’re announcing @attio's hybrid architecture, with the controls of application software at the scale of infrastructure.
To agents, Attio looks like a database, queryable in SQL - a language they're RL’d on. Unlike a database, the business logic, policies, and compliance sit behind the query.
This makes all of Attio’s data accessible by agents in the most powerful and flexible syntax. It gives GTM teams an order of magnitude more value from their time, with the full power of agents working across the entire customer lifecycle.
A new shape of software is here.
attio.ai/architecture
GV retweeted
@amspector100, Ben and the @flappyairplanes team are going to take your breath away! After spending some time in their office and seeing under the hood, I couldnt be more pumped up for them! @GVteam is stoked to support them in any and every way!
Precision medicine has transformed cancer and rare disease care. @ArboretumLS is working to bring that approach to common diseases.
Meet the GV-incubated company, co-founded and led by GV General Partner Anthony Philippakis. Congrats to Anthony, Clare Bernard, and the team!
Congrats to GV portfolio companies @PelagePharma and EpiBiologics on being named to @FierceBiotech’s 2026 Fierce 15. From advancing a new approach to protein degradation to rethinking hair loss treatment, we’re excited to support both teams.
Read more about the 2026 Fierce 15: fiercebiotech.com/biotech/in…
As AI-generated content becomes more common on social, direct relationships with customers matter even more. @nectarsocialai co-founders @misbahuz and @farahura spoke with @bloomberg about what this shift could mean for platforms, brands, and trust online.
Huge news from @systalyze. The speed speaks for itself. ⚡
@systalyze is now #1 in output speed on @ArtificialAnlys, on every model we entered.
→ Gemma 4 26B: ~10× faster than Google
→ DeepSeek V4 Pro: 4× faster than DeepSeek
→ Muse Glimmer: 2.5× faster than Fireworks
Try it via our OpenAI-compatible API:
console.systalyze.com
Congrats to co-founders Kevin, Travis, Evan, David, and the entire team on the Series B!
@ArmadinSecurity is rethinking the traditional security model with AI agents that continuously test how attackers could break through. Excited to see what they do next!
Armadin raises $255.5M in Series B funding co-led by @a16z and @accel to bring proof, not assumptions, to the organizations that need it most.
Read more: armadin.com/blog-posts/inves…
THE requested feature is here from @synthesiaIO: Sessions with live avatars! Looking forward to seeing how companies put their avatars to use.
#1 customer question since 2017:
“When can I send an avatar to a meeting for me?”
Today, we’re launching @synthesiaIO Sessions - live Avatar conversations that help scale your time, so you can:
- Train 1,000 sales reps in a day
- Do 1:1’s with 2,000 employees at once
- Interview 3,000 customers a week
Try it free 👇
Congrats to @MetaviewAI on its Series C! Metaview’s vision is to eliminate bad hires. It now helps teams source, screen, interview and ultimately make better hiring decisions. We’re proud to continue supporting the team! 🎉
Congrats @stipplebio!
We’re honored to be named to the 2026 #Endpoints11. This recognition reflects the support of our investors and Board and we look forward to the work ahead as we advance STP-100 toward the clinic in early 2027. Read more: bit.ly/3TLPq4F
GV retweeted
Congrats on yet another great milestone, @SnorkelAI!
7.5 years ago and long before the recent AI wave, we @GVteam were honored to co-lead Snorkel's very first round of funding alongside @GreylockVC (@saammotamedi + @saranormous), backing a stellar team of founders coming out of Stanford's AI lab.
It has been incredible to see what @ajratner and the entire team have accomplished in that time, including today’s $350M round at a $3.5B valuation, while surpassing $375M in ARR.
I'm excited to announce @SnorkelAI's $350M Series E at $3.5B, led by @insightpartners and @S32_VC.
We've grown 18x+ in the last 12 months since launching our Data-as-a-Service offering, passing $375M ARRR this week.
As AI advances to superhuman capabilities, AI data & environment development must advance with it - and basic staffing and crowdsourcing approaches are not enough.
AI progress now requires deep research and technology work that combines human expertise with specialized AI in compounding ways. @SnorkelAI is building the RSI data engine and frontier data lab for this next phase.
We're honored to have the support of existing investors Addition, @lightspeedvp, @GreylockVC, @GVteam, P7, Factory, @WellsFargo, Walden Catalyst Ventures, and new investors @ThirdPointLLC, @MarchCPs, @BlumbergCapital, @AllegisCapital, @Frontlinevc, and @standard_vc.
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@SnorkelAI started as a research project a decade ago at @StanfordAILab.
Our thesis was simple: AI progress would become increasingly data-centric – and therefore data development should be studied as a true research and technology problem, not just a staffing and crowdsourcing one.
Today, as AI capabilities verge on superhuman, building the data and environments to safely measure and train AI is becoming too hard for even the smartest human experts to do alone.
Only humans and AI agents, collaborating together in compounding ways, can meet the accelerating needs of the frontier, and keep humans in the driver’s seat of AI progress for decades to come.
At @SnorkelAI, we are building the data lab to define the shape of this new “Data 2.0” frontier, and the new paradigms of human-computer interaction needed to advance it.
Our key focus is building the RSI engine for data, where specialized AI models accelerate and improve human expert output, and in turn, scaled human supervision is used to continuously evaluate and improve these models – creating a powerful compounding loop to keep pace with an accelerating RSI frontier.
With this round of funding, we are also doubling down on our commitments to support data development for open benchmarking and evaluation (more news here soon!); an increasingly diverse ecosystem of general and specialized intelligence; and a path to safe, well-aligned AI built on robust training and evaluation data.
Data development will guide and drive the next stages of AI – and must do so in a human-centric, AI accelerated, open, diverse, and safe way. We are excited to support this mission in the next decade of research ahead at @SnorkelAI.
More thoughts here: snorkel.ai/blog/data-2-0-and…
