Vi Labs

The AI execution layer for healthcare, life sciences, and wellness. Turning enterprise data into next-best actions.

[Vi Labs @Vi_Labs_AI]

❤️ Excited to share, Vi Launches Suite of AI Agents for Healthcare, Life Sciences, and Wellness Enterprises; Completes $145M Transaction at $1.64B Valuation

Read More:
https://t.co/tcirjVf6R1

[Vi Labs @Vi_Labs_AI]

“Not just to predict, but to care” is the right instinct. Prediction keeps getting cheaper. What stays stubbornly hard is the distance between a prediction and an action taken inside a live clinical system. Closing that gap feels like the real frontier — less about a smarter model, more about everything that happens after it.

[Vi Labs @Vi_Labs_AI]

@Jayyanginspires When the mission matters, effort feels different.

[Vi Labs @Vi_Labs_AI]

@vijaypande Yep! And the exciting part is what unlocks it: getting that sharper prediction into trial design, patient selection, site execution. The prediction sets the ceiling. Acting on it well is how the field actually reaches it and that’s the part we can build now.

[Vi Labs @Vi_Labs_AI]

Super thoughtful thesis 👍

Totally agree the value moves to the bottleneck rather than the path of discovery models. One way to read that: as discovery commoditizes, the durable edge isn’t a better model it’s the ability to act on what the models already see. Knowing which drug, which patient, which path is an execution problem. The prediction gets cheap. Acting on it correctly doesn’t.

[Vi Labs @Vi_Labs_AI]

Spencer Honeyman on how Vi helped accelerate a Phase 3 rare disease trial by 72% — pulling the timeline up nine months and getting patients on therapy sooner.

[Vi Labs @Vi_Labs_AI]

@HealthcareAIGuy Well said.

[Vi Labs @Vi_Labs_AI]

@PeterDiamandis And extra decades aren't won in the lab anymore.
They're won in whether the right intervention reaches the right person early enough to matter.

[Vi Labs @Vi_Labs_AI]

@yoffe_omri @Manavpod Watch the podcast: https://t.co/M4Ma7Rteie

[Vi Labs @Vi_Labs_AI]

"It's not the drug or the science problem. The science is there. It's how you navigate the patient to the right decision." @yoffe_omri on where healthcare AI actually breaks.

New video with @Manavpod on the rise of AI agents in healthcare.

[Alex Ker 🔭 @thealexker]

Most AI demos built for healthcare don't survive in real clinical or operational environments.

The data is messy, the workflows are fragmented, margin for error is near zero.

That's why I'm stoked to host a 1.5-day Healthcare x AI Hackathon with @HealthcareAIGuy in NYC: a small group of engineers, founders, PMs, and builders who are serious about applying AI agents and tools to healthcare problems in production.

Stack: @Baseten, @Lovable, @ElevenLabs
Cash prizes. And a few surprises.
📍 NYC | June 26–27

Space is limited and application-based.

Apply by June 17th at 11:59 pm ET → link below

[Vi Labs @Vi_Labs_AI]

Some days feel historic. Days that remind us what's possible when bold vision meets the discipline to execute.

[Healthcare AI Guy @HealthcareAIGuy]

SpaceX is going public today in what is expected to be the largest IPO in history.

Here are 4 things to know about the company's healthcare ambitions:

• Rural hospital connectivity: SpaceX sees Starlink as critical infrastructure for healthcare, helping connect rural hospitals and enabling telemedicine access in underserved communities around the world.

• Orbital pharmaceutical manufacturing: The company has identified in-space drug manufacturing as a future opportunity, with microgravity potentially enabling new manufacturing processes and ultra-pure materials that are difficult to produce on Earth.

• AI-powered healthcare: Through xAI, SpaceX highlights the potential for AI to assist clinicians with medical analysis, diagnosis, and decision-making across a range of healthcare settings.

• The infrastructure behind healthcare AI: SpaceX is already providing large-scale GPU compute capacity to Anthropic, positioning the company as a key infrastructure provider for the next generation of AI applications, including healthcare.

[Vi Labs @Vi_Labs_AI]

@thealexker @HealthcareAIGuy We're excited to hear this. Good luck to everyone! 🤘

[Vi Labs @Vi_Labs_AI]

@EthicsInAI As AI becomes more capable, keeping humans at the center becomes even more important.

[Vi Labs @Vi_Labs_AI]

@PeterDiamandis Optimism hits different when it’s backed by signal, not noise.😉

[Vi Labs @Vi_Labs_AI]

Learn more turning generative AI promises into clinical outcomes: https://t.co/uPjPQCgyPH

[Vi Labs @Vi_Labs_AI]

In healthcare and life sciences, AI doesn't become real at launch. It becomes real in the work after. Here's what that takes.

[Vi Labs @Vi_Labs_AI]

Watch Full Video On Youtube: https://t.co/zQwgvoi7wR

[Vi Labs @Vi_Labs_AI]

In healthcare and life sciences AI, the work that matters happens before the model does:

→Map the data a client actually has.
→Find what's missing. Supplement it responsibly, at scale.
→Then stay accountable to outcomes defined upfront.

#PatientCare #healthcaretech #ClinicalTrials

[Vi Labs @Vi_Labs_AI]

@EricTopol Agreed. Healthcare doesn’t need fewer clinicians. It needs better systems that reduce burden, expand capacity, and help clinicians focus on what matters most: caring for patients.

[Vi Labs @Vi_Labs_AI]

@HealthcareAIGuy @AnthropicAI We're in it for the long run.