Hippocratic AI raises $141M to staff hospitals with clinical AI agents

Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers

Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers navigate such problems with postpartum mental health assessments and depression screening. The startup was initially focused on creating generative AI chatbots to support clinicians and other healthcare professionals, but has since switched its focus to patients themselves. Its most advanced models take advantage of the latest developments in AI agents, which are a form of AI that can perform more complex tasks while working unsupervised. Despite rapid advancements in AI, creators in open-source ecosystems face significant challenges in monetizing derivative works and securing proper attribution.

Story, the global intellectual property blockchain, has announced its integration with Stability AI’s state-of-the-art models to revolutionize open-source AI development. This collaboration enables creators, developers, and artists to capture the value they contribute to the AI ecosystem by leveraging blockchain technology to ensure proper attribution, tracking, and monetization of creative works generated through AI. Andreessen Horowitz, or a16z, is investing in AI and biotech to lead the way in innovation.

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In a statement, Raspberry AI said the funding would be used to accelerate its product development and add top engineering, sales and marketing talent to its team. But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world. Or maybe it will always be a multiplicity of models each with a smaller market share? That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.

Once the AI agent is up and running, the clinicians who created it will be able to claim a share of the revenue it generates from the startup’s customers. Currently the technology is being used by Under Armour, MCM Worldwide, Gruppo Teddy and Li & Fung to create and iterate apparel, footwear and accessories styles. The company’s existing investors Greycroft, Correlation Ventures and MVP Ventures also joined in the round, along with notable angel investors, including Gokul Rajaram and Ken Pilot. Clearly, even as he espouses a commitment to open source AI, Zuck is not convinced that DeepSeek’s approach of optimizing for efficiency while leveraging far fewer GPUs than major labs is the right one for Meta, or for the future of AI.

Raspberry AI secures 24 million US dollars in funding round

Story is the world’s intellectual property blockchain, transforming IP into networks that transcend mediums and platforms, unleashing global creativity and liquidity. By integrating Stability AI’s advanced models, Story is taking a significant step toward building a fair and sustainable internet for creators and developers in the age of generative AI. Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.

Investing in Raspberry AI – Andreessen Horowitz

Investing in Raspberry AI.

Posted: Mon, 13 Jan 2025 08:00:00 GMT [source]

Story aims to bridge this gap by combining Stability AI’s cutting-edge technology with blockchain’s ability to secure digital property rights. For example, creators could register unique styles or voices as intellectual property on Story with transparent usage terms. This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.

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Holger Mueller of Constellation Research Inc. said Hippocratic AI is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents. The launch is a bold step forward in healthcare innovation, giving clinicians the opportunity to participate in the design of AI agents that can address various aspects of patient care. It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested. Shah said the last nine months since the company’s previous $50 million funding round have seen it make tremendous progress. During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.

For instance, one of its AI agents is specialized in chronic care management, medication checks and post-discharge follow-up regarding specific conditions such as kidney failure and congestive heart failure. The healthcare-focused artificial intelligence startup Hippocratic AI Inc. said today it has closed on a $141 million Series B funding round that brings its total amount raised to more than $278 million. “This round of financing will accelerate the development and deployment of the Hippocratic generative AI-driven super staffing and continue our quest to make healthcare abundance a reality,” he promised. Raspberry AI, the generative AI platform for fashion creatives, has secured 24 million US dollars in Series A funding led by Andreessen Horowitz (a16z). Today, we’re going in-depth on blockchain innovation with Robert Roose, an entrepreneur who’s on a mission to fix today’s broken monetary system. Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.

By incorporating this wisdom into its AI agents, it’s making them safer and improving patient outcomes, it said. Crucially, any agent created using its platform will undergo extensive safety training by both the creator and Hippocratic AI’s own staff. Every clinician will have access to a dashboard to track their AI agent’s performance and use and receive feedback for further development.

All these indicate the commitment a16z has in shaping the future of technology and healthcare through strategic investments. Both platforms use Stability AI’s models to bring creators’ visions to life and Story’s blockchain technology to enable provenance and attribution throughout the creative process. These real-world applications highlight how creators can safeguard their intellectual property while thriving in a shared creative economy. Raspberry AI offers brands and manufacturing creative teams technology solutions, which can help accelerate each stage of the fashion product development cycle to increase speed to market and profitability while reducing costs. Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups. They participated in the round that funded Anysphere on January 14, 2025, with a total sum of $105 million for an AI coding tool known as Cursor, whose valuation has reached $2.5 billion.

Onyxcoin (XCN) Market Trends and Ozak AI’s Contribution to AI-Driven Blockchain

In order to ensure its AI agents can do their jobs safely, Hippocratic AI says it only works with licensed clinicians to develop them, taking steps to verify their qualifications and experience first. Once clinicians have built their agents, they’ll be submitted to the startup for an initial round of testing. Through the Hippocratic AI Agent App Store, healthcare organizations and hospitals will be able to access a range of specialized AI agents for different aspects of medical care.

The startup was co-founded by Chief Executive Officer and serial entrepreneur Munjal Shah and a group of physicians, hospital administrators, healthcare professionals and AI researchers from organizations including El Camino Health LLC, Johns Hopkins University, Stanford University, Microsoft Corp., Google and Nvidia Corp. PIP Labs, an initial core contributor to the Story Network, is backed by investors including a16z crypto, Endeavor, and Polychain. Co-founded by a serial entrepreneur with a $440M exit and DeepMind’s youngest PM, PIP Labs boasts a veteran founding executive team with expertise in consumer tech, generative AI, and Web3 infrastructure. The startup has also created other AI agents for tasks like pre- and post-surgery wound care, extreme heat wave preparation, home health checks, diabetes screening and education, and many more besides. The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education. According to the startup, the objective of these AI agents is to try and solve the massive shortage of trained nurses, social workers and nutritionists in the healthcare industry, both in the U.S. and globally.

TechBullion

The same day, a16z also led a Series A investment in Slingshot AI, which has raised a total of $40 million to create a foundation model for psychology. Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services. In general, a16z is committed to supporting AI innovations that could have a profound impact on society. We are thrilled to see our models used in Story’s blockchain technology to ensure proper attribution and reward contributors,” said Scott Trowbridge, Vice President of Stability AI. Others include Kacie Spencer, DNP, RN, the chief nursing officer at Adtalem Global Education Inc., who has more than 20 years of experience in emergency nursing and clinical education. Her AI agent is focused on patient education for the proper installation of child car seats.

It participated in an Anysphere round that had the company raising $105 million on January 14, 2025, when it pushed the valuation up to $2.5 billion. Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications. On the same day, they led a Series A investment in Slingshot AI, a company that’s developing advanced generative AI technology for mental health. Additionally, a16z invested in Raspberry AI to bring generative AI to the front of fashion design and production. In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.

• The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education.
• Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups.
• Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.
• It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested.

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What Ai Fashions Does Chathub Support?

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Vooz Is For Everybody – Choose How You Connect

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Benefits Of Utilizing A Web-based Chat Platform

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Whoa! I remember the first time I tried to stash three different coins on a single Trezor device. It felt slick. But then things got messy—addresses mixed up, wallets hidden, and a few sweaty moments wondering if I’d just lost a chunk of my savings. My instinct said: there has to be a better way. Initially I thought “one device equals one simple ledger,” but then I realized the complexity lives in software and user habits more than in the tiny metal box itself.

Okay, so check this out—multi-currency support isn’t just a convenience. It’s an operational design choice that ripples through user experience, backup strategy, and threat models. On one hand, supporting many assets reduces the need for multiple devices. On the other hand, each added asset increases UI complexity and potential for misconfiguration. Hmm… that tradeoff is where a lot of users get tripped up.

Short version: a hardware wallet like Trezor is a fortress, but the gates and maps are managed by the software. If the map is confusing, you’ll wander. Seriously?

Let me walk you through what actually matters, from the gut reactions to the careful checks I run when I vet any multi-asset setup. I use practical experience—I’ve moved funds across BTC, ETH, and smaller chains—and I also break things on purpose to learn how recovery behaves. I’m biased toward simplicity, but I appreciate tools that let advanced users do advanced stuff without forcing the rest of us to memorize a ten-step procedure.

Why multi-currency support is more than a checkbox

Multi-currency support can feel like a bragging-rights feature. But in reality, it reshapes your security posture. For example: some wallets store all addresses derived from the same seed, while others create separate logical accounts tied to different derivation paths. That matters because if you inherit someone else’s recovery phrase and the derivation path is nonstandard, you might not see all their funds—ever. That part bugs me. It’s subtle. It bites people who assume “seed = everything”.

When you add many coin types, software must translate between standards—BIP32, BIP44, BIP49, BIP84, sometimes chain-specific twists. Some apps automate that translation. Others leave two-letter clues for the power user. On one hand, automation reduces mistakes. Though actually, if automation is opaque, it hides assumptions that become problematic during recovery. Initially I trusted the automation, but then I spent hours searching for a missing token that turned out to be accessible only under a non-default derivation path.

Pro tip: keep a note of the derivation paths or account labels you use, stored separately and offline. Sounds obvious, right? Yet very very few users do it. Somethin’ about “never needed it before” makes people lazy.

Also—watch out for token indexing. ERC-20 tokens, for example, aren’t native chains; they’re tracked by address and contract index. If your software doesn’t index third-party tokens, you won’t see them in the UI, but the funds are physically on-chain. That mismatch creates panic. (Oh, and by the way… this is where a good suite helps.)

How Trezor Suite fits into multi-currency workflows

Here’s the thing. A solid desktop or web companion app can add clarity. The trezor suite is one I’ve used repeatedly and it shows how better UX reduces mistakes. It presents accounts in a way that maps to common derivation choices and surfaces tokens that might otherwise be invisible. My first impression was “this is sensible,” and then I started poking at edge cases to verify the assumptions.

There are limits, of course. No app can anticipate every custom derivation or every ephemeral token contract launching on a testnet. But good tooling reduces the cognitive load when you move between Bitcoin, Ethereum, and smaller chains. It also centralizes firmware updates, which is a security win—keeping firmware current reduces attack surface. I’m not here to sell you anything, but when a suite integrates device management, address discovery, and transaction signing flows it stops being a swiss-army-knife and starts being a guardrail.

My workflow: I keep primary balances in a main BTC account, use a separate ETH account for recurring DeFi experiments, and then isolate experimental tokens on a third labeled account. That separation makes my mental model match the UI. If you mix everything in a single, unlabeled account, you’ll regret it when you need to restore from seed and can’t remember which address belonged to what.

Recovery tests are invaluable. Seriously, run a restoration from your own seed at least once on a spare device or using a dry-run tool. This tells you if the path and passphrase configurations you thought you set are actually recoverable. I learned that lesson the hard way—restoring on a clean install revealed I’d used a custom passphrase variation that I wrote down poorly. Never assume you’ll remember punctuation.

Passphrase security: the secret gate

Passphrases turn a mnemonic into an infinite number of possible wallets. That is both powerful and dangerous. A passphrase is a separate secret—it’s not stored on the device, and if you forget it, your funds are effectively gone. My instinct says: treat a passphrase like a second seed, not like a password you can reset.

On the plus side, using a passphrase lets you create deniable wallets. You can hold a “decoy” balance under one passphrase and the true stash under another. On the downside, people lose access because they forgot to include a capital letter, or they used a trailing space during setup. I once used an emoji in a test passphrase (yeah, don’t do that unless you fully understand input encoding), and restoring it across different OSes got weird. The lesson: standardize your character set and document the exact input method offline.

Also—be careful with passphrase storage. Writing it on paper is the recommended approach for permanence, but paper can be stolen or damaged. Metal backups are more durable. Alternatively, consider a Shamir-like split for enterprise-level resilience. I’m not 100% in love with complexity, but for large amounts, redundancy is non-negotiable.

Every decision increases the adversary’s work or the user’s cognitive load. On one hand, longer, random passphrases increase security. On the other hand, longer passphrases increase the risk of loss. You have to balance those axes with your threat model. Initially I thought “super long = best”, but then I realized that if the passphrase isn’t reproducible after a catastrophe, it might as well not exist.

Practical checks before you move funds

Okay, quick checklist—short and usable:

– Confirm derivation paths for each account you use. Document them offline.

– Test recovery on a separate machine or emulator. Don’t assume your notes are perfect.

– Use passphrases deliberately. If you use one, treat it as high-value secret and back it up redundantly.

– Verify token visibility in the suite before and after transactions. Some tokens require manual indexation.

– Keep firmware and companion apps updated. Even a small patch can close a major exploit vector.

These are simple steps. They sound obvious, but people skip them because they feel like overhead. I’m guilty too—human nature wants to skip the tedious part until it matters. That tendency is the single biggest security risk in crypto for regular folks.

Common failure modes—and how to avoid them

Failure mode one: “I can’t find my funds after restore.” Cause: wrong derivation path, wrong passphrase, or the app didn’t index tokens. Fix: test restore, keep notes, and know how to import contract tokens manually.

Failure mode two: “I signed a transaction to the wrong chain.” Cause: UI ambiguity or network mismatch. Fix: always verify the first bytes of the receiving address on the device screen. The device is the ground truth—if the app shows an address but the device screen doesn’t match, trust the device. My instinct screamed the first time I saw a truncated address. On some wallets the UI wraps addresses oddly, and copying can introduce errors.

Failure mode three: “I lost my passphrase.” Cause: poor backup practices. Fix: create multiple, physically separated backups; test them; consider Shamir-like splitting for serious holdings.

Notice a pattern? Most issues are human factors, not cryptographic failures. The math is fine. The problem is how people use tools day-to-day. That’s why software like the trezor suite matters—good UX nudges users toward safe habits, and bad UX hides traps in plain sight.

Finally, a closing thought—this is less about perfect security and more about predictable recovery. Predictability is underrated. If you can reproduce your state reliably, you’re in good shape. If you can’t, then your fortress might as well be a sandcastle. Try the trezor suite to simplify multi-currency management and make passphrase choices explicit rather than mysterious. It’ll save you time and probably a headache or two down the road…