investor, founder @Valkyrie_vc frmr Managing Partner @SVAngel Seed

Joined December 2008
Today I’m launching @Valkyrie_vc - a $45M early-stage fund investing in AI, infrastructure, and critical industries. Grateful to the founders, partners, and friends I’ve worked with along the way. You’ve truly shaped how I invest and why I built Valkyrie. To the founders: Valkyrie was built for you. To partner with you. To build what matters. This is our new frontier. Let’s build it. Thank you to @_pheebini at @Forbes who captured the story → forbes.com/sites/phoebeliu/2…
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Bunkerhill has grown 12x annualized since January, with 8 figures in ARR closed in the last week alone. Health systems want agents that do the work, and we need help building them. We’re hiring across engineering, forward-deployed and sales. Join us!
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Beth Turner retweeted
Today we're sharing a major milestone for BioStack: We’ve raised $9.5 million from @peakxvpartners, @EmCollective, @DCVC, @AforeVC, @VerdictCap and @ycombinator among several others to build the data foundation for the next generation of healthcare AI. 🧵
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Beth Turner retweeted
Introducing Boba - the social intelligence that understands your goals and your community. Text Boba today or message it online at boba.app
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Beth Turner retweeted
No one changes the world alone Introducing Ampersand - the first model built for us. Ampersand is a collaborator trained to help people achieve their individual and collective goals. In multi-month simulations, users collaborating with Ampersand accomplished more than with Fable and other frontier models Available to everyone through our API
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Dream-1 is a real leap for robotics. Huge congrats to @jang_yoel and the @dreamlabs_ai team. This is just the beginning. Thrilled to be partnering.
Today, Dream Labs is coming out of stealth with Dream-1, a robot foundation model that controls bimanual robots it has never seen, on tasks it was never shown, in places it has never been, from $3/hour. Dream API is live for everyone, today. 🧵
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Tolan is AI built for real relationships. 70m conversations. Billions of messages. Try it out and see for yourself. Congrats @tolans and @quintendf on the fundraise!
Last year we launched Tolan, inspired by a vision of AI that sees you and believes in you, not one that books restaurant reservations for you. Your Tolan shows up for you at 3am when you’re alone with your newborn. On your commute when you’re anxious about the day ahead. When you just finished a new show and none of your friends have watched it yet. The people who love Tolan are parents. Caregivers. Moms in Dallas and Dads in Atlanta. People who aren’t trying to optimize and be more productive, but who simply want to feel seen and supported in their aspirations. This month more than 250k people will spend time with their Tolan. Those users have exchanged billions of messages across more than 70m conversations over the last year. Today, we're announcing $30m in additional capital from @mignano and @usv, with @khoslaventures and @rabois doubling down, bringing our total capital raised to $60m. To celebrate, we made a short film celebrating some of the ways that Tolans show up :)
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Congrats @navvye and team!
1) Today we're announcing Atomwell, our state-of-the-art foundation model for predicting experimental outcomes, alongside scaling laws for molecular discovery. We trained models from 800M to 9B parameters on ~80M experimental measurements, and found clean scaling laws in both model size and data.
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Big congrats to @AndrewDai and the @ElorianAI team on launching their first visual thinking foundation model, Glimpse! We’re thrilled to have backed them early at @Valkyrie_vc. If you work with images or video, you’ve got to try it.
Spent years watching models ace a single image and completely whiff on anything that moves or changes angle. Today we’re fixing that. Try Glimpse now, our first visual thinking model with competitive frontier performance compared to Astra on key public visual reasoning benchmarks.
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Beth Turner retweeted
We are open-sourcing RISE, our red-teaming algorithm that breaks the safeguards of the latest image models from OpenAI, DeepMind, and others. RISE uses readily available models like Qwen and Gemini Flash under the hood, with no additional training required. Read more: whitecircle.com/research/bre…
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Bindwell went from an empty floor to a working lab in 30 days. Incredible. It’s their first big step toward AI that discovers new molecules, starting with pesticides. At this speed, can’t wait to see what they do next. Way to go @navvye @tylerarose0 and team.
We built an 8000 sqft. high-throughput wet-lab in 30 days, to solve molecular discovery - starting with pesticides. Most teams in drug-discovery don’t receive target-organism verification until clinical trials. Pesticides allow us to rapidly validate our model in the target organism directly. With the help of our high-throughput lab, we were able to generate compounds that killed a $13 billion pest, the Fall Armyworm. We believe that the bitter lesson is coming for biology.
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This team is next level!! Congrats on the launch @hone!
We first met @moritz_stephan and @CarloWillem at Fizz and saw founders with huge ambition and the speed to match. Glad to be investing in their next venture @hone and congrats on the Engines launch. If you’re looking for a generational AI company to join early, they're hiring.
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Beth Turner retweeted
Together is the #1 provider by volume of tokens (across closed and open endpoints) on @OpenRouter openrouter.ai/providers
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Beth Turner retweeted
Introducing Beam: a highly efficient agentic open model with 501B total parameters and 23B active. - Frontier reasoning efficiency - Advances the Western open frontier on coding & agentic tasks - Trained end-to-end from scratch Full weights release this month. Learn more about Beam: reflection.ai/beam
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Beth Turner retweeted
Every robot heading into a factory, warehouse, or home has to earn trust first. SafeWorld is how that trust gets earned. Congrats @kwong47, @zhao__ding, @Sim0Rachidi and the @safeworldai team!
Today, I’m excited to introduce @safeworldai! Our mission: improve robot safety for the next billion machines. AI is moving from screens into the physical world. Robots are becoming more capable, more autonomous, and increasingly operating around people. But more capable robots require more capable ways to test them. 🧵
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Beth Turner retweeted
Say hello to Echo, the best writing model at style imitation. Echo beats frontier models at writing tasks ranging from fiction to technical explanations, despite costing less than $5K to train.
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Surgery at scale will transform access to and quality of care for patients. That's what @alephsurgery is building: a robotic surgeon where every procedure makes every machine better. Excited to support @r_mcguire and @dylanmcguir3 as they bring it to the OR.
Replying to @dylanmcguir3
@dylanmcguir3 and I just raised a $7.5M pre-seed led by @a16z to build a robotic surgeon @alephsurgery Much of the early investment in Physical AI has focused on industries where labor is relatively abundant and low-cost. We believe the biggest opportunities to change the world lie at the opposite end of the spectrum. Surgery is among the most valuable forms of labor on the planet, but it's far too scarce and expensive - due to an exceptionally long training pipeline and highly concentrated expertise. We’re building the first surgeon that scales: one system that can acquire, refine, and transfer surgical skills across millions of procedures. v1 is already learning to perform surgical tasks autonomously from demonstrations, and improve from its own experience. Lots of great folks behind us! @BoxGroup, Reveille VC, Constellation, @forward_deploy, @Valkyrie_vc, @DiscipulusVent, @maniacvc + more
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Beth Turner retweeted
We just closed an employee tender offer which values @ElevenLabs at $22BN, up 2x from our Series D in February. The tender was led by Wellington and T. Rowe Price. A few words on how we got here ↓
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Beth Turner retweeted
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. – @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…
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Beth Turner retweeted
We built high-throughput materials labs in Menlo Park to create a loop between experiments and models. The labs generate fresh data, the models learn from it, and then help us decide what to try next. Using only 1,300 H200s, plus months of our experimental data, we mid-trained and RL’d an open-source model to surpass GPT-6 Astra on our analysis benchmark. We call it Neon. This is real footage from our lab. We’re focusing first on hard problems in materials science, including superconductors, magnets, and semiconductor materials. Read our blog posts below.
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