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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Why Player Feedback Is Reshaping Casino Software in 2026

Player feedback has become the backbone of modern casino software development, and we’re seeing unprecedented changes as developers listen to what players actually want. In 2026, the relationship between consumer input and platform innovation is tighter than ever. Casinos that ignore player preferences risk losing their audience to competitors who don’t. This shift isn’t just about small tweaks, it’s fundamentally transforming how software is built, tested, and deployed across the industry.

Understanding The Impact Of Player Input On Game Development

Player input drives real, measurable changes in casino software architecture. When thousands of users report interface issues or request features, developers prioritise fixes based on frequency and impact. We’ve witnessed major operators carry out beta testing programs specifically designed to gather feedback before full releases.

The data speaks for itself:

• 60% of successful casino software updates originate from direct player suggestions
• Bug fixes sourced from player reports reduce crash rates by up to 40%
• Feature adoption increases by 35% when players feel their voice shaped the development

Developers now use sophisticated analytics to track which feedback generates the most engagement. Rather than guessing what works, we’re building based on evidence. This scientific approach eliminates costly missteps and accelerates time-to-market for features that actually resonate.

How Casinos Use Feedback To Drive Innovation

Leading operators have established structured feedback channels, surveys, community forums, in-app feedback tools, and dedicated social channels. We’re seeing dedicated innovation labs where developers sit alongside player representatives to workshop new ideas.

Player Preferences Influencing Software Features

Feedback loops inform every layer of software design. Players consistently request faster load times, mobile-first interfaces, and simplified navigation. Successful casinos have responded by optimising code performance and redesigning dashboards based on heatmap data from player interactions.

Common requests transforming the industry:

• Dark mode implementations (88% of players prefer it during evening play sessions)
• One-click deposit systems (reduces friction, increases conversion by 22%)
• Personalised game recommendations (based on play history and stated preferences)
• Improved responsible gambling tools (player-driven demand for better self-exclusion features)

We’ve also observed that casinos using rapid feedback cycles, implementing changes fortnightly rather than quarterly, retain players 27% longer. Speed matters because players notice when their suggestions become reality quickly.

The Evolution Of User Experience Through Direct Input

User experience (UX) has transformed dramatically because we’re designing with real players in mind rather than assumptions. Five years ago, casino software prioritised flashy graphics. Today, functionality trumps flash because that’s what players told us they valued.

We’ve moved from:

Direct feedback has eliminated confusing menu hierarchies and reduced account-opening time from 8 minutes to under 90 seconds. These changes compound, better UX means higher engagement, which means more opportunities for players to enjoy their favourite games.

Building Trust And Loyalty Via Responsive Development

When players see their feedback implemented, trust increases dramatically. We’re not just talking about satisfaction, we’re seeing demonstrable improvements in player lifetime value when casinos respond visibly to suggestions.

Operators who acknowledge feedback in patch notes (naming specific players or communities that contributed) see 31% higher retention rates. Loyalty programmes now include rewards for meaningful feedback contributions. Some platforms even offer exclusive early access to new features for players who’ve historically provided constructive input.

This reciprocal relationship transforms players from passive consumers into invested community members. They’re not just playing games, they’re helping shape the platform they love. This psychological shift is powerful and proven to reduce churn significantly.

What Players Want From Modern Casino Platforms

Current player expectations are clear and specific. We’re hearing consistent demands across multiple regions:

Technical stability remains paramount, zero tolerance for glitches during gameplay or payment processing. Players expect 99.9% uptime and rapid support when issues occur.

Transparency in RTP rates, bonus terms, and algorithmic fairness is no longer optional. Progressive casinos publish detailed fairness reports and explain how machine learning affects game selection recommendations.

Accessibility features are increasingly requested, colourblind-friendly colour palettes, adjustable text sizes, and support for screen readers across the platform.

Responsible gambling tools that actually work, self-exclusion that’s genuinely enforceable, spending limits that sync across devices, and honest messaging about odds rather than marketing-speak.

When casinos carry out these features based on direct player feedback, we see measurable outcomes: higher engagement, better player wellbeing, and reduced regulatory pressure. The investment in listening pays dividends. If you want to understand how modern platforms operate, this guide breaks down what serious players look for in their chosen operators.

The 2026 casino software landscape is unrecognisable from just three years prior because we’re finally building what players actually want rather than what we think they should want.

Understanding Reward Anticipation: How Your Brain Responds to the Thrill of Winning

We’ve all felt that electrifying moment before a spin lands or a card flips, the rush of anticipation that keeps us on the edge of our seats. This feeling isn’t just excitement: it’s our brain releasing a cocktail of chemicals designed to heighten focus and engagement. Understanding reward anticipation helps us grasp why casino games captivate us and, crucially, how to enjoy them responsibly. Let’s explore the science behind this phenomenon and what it means for our gaming habits.

What Is Reward Anticipation?

Reward anticipation is the mental and physiological state we experience while waiting for a potentially positive outcome. It’s not the reward itself, it’s the moments leading up to it. When you’re spinning a slot machine or waiting for a dealer’s hand, your brain isn’t passive: it’s actively processing uncertainty and possibility.

This phenomenon taps into something primordial. Our ancestors relied on anticipation to survive hunts, social encounters, and resource gathering. Today, that same neurological mechanism activates when we gamble. The uncertainty creates a cognitive state where our brains become hyperalert, searching for patterns and possibilities. Understanding this distinction matters because anticipation itself can be as rewarding, sometimes more rewarding, than the actual outcome.

The Neuroscience Behind Anticipation and Dopamine

When we anticipate a reward, our brain doesn’t wait passively for the result. Instead, it floods our system with dopamine, a neurotransmitter central to motivation, pleasure, and learning. This chemical messenger isn’t just released after a win, it’s released most intensely during the anticipatory phase.

Researchers at institutions like Cambridge have mapped this process. The ventral tegmental area and nucleus accumbens (reward centres in the brain) activate strongly when uncertainty exists. Paradoxically, a guaranteed small reward produces less dopamine than an uncertain large reward. This explains why casino games, designed around unpredictability, are so neurologically compelling.

How Dopamine Drives Excitement

Dopamine creates a feedback loop. As anticipation builds, dopamine levels rise, sharpening our attention and intensifying the emotional experience. Our heart rate increases, pupils dilate, and focus narrows to the game. This state feels energising and alive.

But, dopamine isn’t the “pleasure chemical” many assume. It’s the “motivation chemical.” It drives us to seek the experience again. Repeated activation creates neural pathways that reinforce gaming behaviour, which is why consistent play can become habitual, and potentially problematic.

Reward Anticipation in Gaming and Casino Settings

Casino games are engineered to maximise anticipation. Consider these design features:

• Variable reward schedules: Unpredictable payouts keep dopamine firing longer than predictable rewards
• Near-miss experiences: Losses that look close to wins trigger dopamine spikes, creating false hope
• Visual and audio cues: Flashing lights and celebratory sounds hijack our attention systems
• Time delays: Slight pauses before outcomes reveal themselves extend anticipation

Whether you’re playing slots, blackjack, or poker on traditional casinos or even exploring alternatives like offshore crypto casinos through platforms such as offshore crypto casinos, the underlying psychology remains identical. Game developers understand neuroscience better than most. They craft experiences that align perfectly with how our brains respond to uncertainty. This isn’t malicious, it’s how engagement works, but awareness is crucial.

Managing Your Response to Anticipation

Recognising your neurological response to anticipation is the first step toward responsible gaming. Here’s what we recommend:

Set strict time and budget limits before playing. Anticipation makes time feel shorter and impairs judgment. A pre-planned boundary prevents dopamine-driven overspending.

Alternate gaming with other rewarding activities. Your brain seeks dopamine. Exercise, socialising, and creative hobbies activate similar pathways without financial risk. This diversification reduces dependency on gambling for reward.

Track your emotional state. Notice when you’re chasing the feeling rather than enjoying the game. Chasing is a warning sign that anticipation has become the primary driver, not entertainment.

Recognising When Anticipation Becomes Problematic

Anticipation becomes concerning when it shifts from occasional enjoyment to compulsive seeking. Watch for these markers:

If you notice several of these patterns, speak to someone. Organisations like the National Problem Gambling Clinic offer confidential support. Your brain’s reward system is powerful and ancient, it wasn’t designed for modern casinos. Protecting yourself is pragmatic, not weak.

Longer backtests want an archive add-on, Enterprise, or a Parquet export into your personal store, which also retains the backtest off your API allowance. The free trial lasts one month with 10 million credit and wishes no card. Build prices $49 per 30 days ($42 billed yearly) for eighty million credits at 50 requests per second (pricing). Its Solana gRPC stream is included from the Scale plan, at $499 per 30 days.

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Both retail and institutional investors are looking for tools that enable them to make trades 24/7 without any human presence as this perform continuously displays them. Therefore, automated bots enable merchants to capture real-time opportunities, thereby making it extra environment friendly and worthwhile in fast-moving crypto markets. AI-powered crypto buying and selling bots are programs that routinely purchase and promote crypto belongings primarily based on machine studying algorithms, quite than fastened guidelines. These bots ingest massive volumes of historical and real-time knowledge — worth motion, order e-book depth, volatility, even social sentiment — and use that info to detect alternatives. AI buying and selling bots are automated software program packages that analyze market knowledge, determine trading opportunities, and execute trades with out constant human involvement. These bots use applied sciences similar to machine studying, predictive analytics, and algorithmic strategies to watch market actions and make sooner buying and selling decisions.

Trading bots automate the principles you set; they do not guarantee earnings or stop losses. Leverage and futures buying and selling increase threat, and losses can exceed what you count on. Past performance and hypothetical or back-tested results don’t assure future results. Crypto trading bots usually are not magic — they automate particular buying and selling logic to extend your probabilities to revenue.

If the market moves against you an extreme quantity of, your position could be liquidated, which means you lose most or the entire capital allocated to that trade. Futures bots are extra complicated and require more attention to threat management settings. If you’re utilizing a cryptocurrency trading bot, you’ll probably have taxable events to report to the IRS. Relying in your buying and selling volume and the amount of exchanges you’re utilizing, you may have a big amount of exercise to report.

Security is among the most essential elements when selecting automated buying and selling software program. Crypto trading bots are pc applications that allow customers to trade cryptocurrencies via automation. When simulating, embrace these small costs in each order’s process so that the expected value is measured after bearing in mind all realistic bills, not before. Most traders take a look at their bots for a number of weeks utilizing paper trading because it appears protected and cheap.

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(WunderTrading pricing) USD prices above have been reported by CryptoMarkets.tools in October 2026. The official page can show local currency, so confirm at checkout. However behind the ease of clicking “Start” lies a setup course of that determines whether or not the bot performs reliably or turns into a source of costly errors. Proper setup ensures alignment with market circumstances, buying and selling goals and threat tolerance. I understand how frustrating it is when a bot looks glorious on paper, however the profits never make it into your account. Use trim choices, short-term variance swaps, or cross-instrument hedges sized to restrict losses, somewhat than making an attempt to comply with each market change.

Bots can act immediately, providing a degree of threat mitigation that’s exhausting to achieve manually. WunderTrading, Coinrule, Bitsgap, and TradeSanta have restricted free tiers. AstraBit’s setup is free, and also you only pay a bot’s daily fee once it trades. The free plan contains 1 Sign, 1 DCA, and 1 Grid bot, and paid plans scale up to 300 DCA and 200 Grid bots on Premium. On Hyperliquid, WunderTrading provides Premium tools with no subscription and charges a 0.035% builder payment per trade as a substitute.

These bots can track market movements and place trades with pace and precision far exceeding human capabilities, making them important for many traders. To run efficiently, however, they want a steady and repeatedly available environment—exactly what Virtual Personal Servers (VPS) present. We’ll also spotlight key VPS features (such as stability, international places, and latency testing) essential for crypto buying and selling. An AI crypto buying and selling bot is an automatic software program program that uses AI to research market information and execute trades in your behalf. AI crypto trading bots can monitor the market 24/7, identify trading alternatives primarily based on complex algorithms, and react a lot sooner than a human may. Crypto trading bots are software program programs that use automated algorithms to execute trades on behalf of customers within the cryptocurrency market.

What Execution Moves Recuperate Margin?

Construct a small execution simulator that includes change charge ladders and rebate offsets. Make choices based mostly on internet anticipated value, not simply gross entry price. This confirmed that repeatability is more useful than having the best results in reside conditions. Risk sizing is the only lever you have, as a result of a slight, consistent edge, when scaled with tight position sizing, compounds with out blowing the account.

Its clean interface and flexible automation capabilities make it a practical solution for users exploring ai trading software program for the primary time. Trendy buying and selling has evolved far past manual chart evaluation and emotional decision-making. At Present, merchants are increasingly counting on clever automation instruments to monitor market trends, execute trades, and manage portfolios with larger speed and accuracy. Just as a dealer would possibly wish to riznovac buy an asset when it falls to a certain valuation, they will code a bot to do the identical.

Bots are programmed to reply within fractions of a second to the altering market conditions, hitting the value actions and executing trades at the most effective occasions attainable. The want for any investor wishing to navigate the unpredictable nature of crypto markets, therefore is crucial. Crypto buying and selling bots are essentially software program programs that usually leverage artificial intelligence and machine learning to observe the market and automatically execute cryptocurrency trades.

A not-for-profit organization, IEEE is the world’s largest technical skilled organization devoted to advancing know-how for the benefit of humanity.© Copyright 2026 IEEE – All rights reserved. Use of this web site signifies your settlement to the phrases and conditions. The key market segmentation, which incorporates, primarily based on sort (Arbitrage Bots & Trend-Following Bots), By Application (Retail Investors, Institutional Buyers, and Cryptocurrency Exchanges).

AstraBit earns commissions from collaborating exchanges primarily based on user buying and selling volume via AstraBit referral hyperlinks. A portion of these commissions could additionally be applied as credits towards customers’ bot costs. This creates a monetary incentive for AstraBit to encourage trading exercise and to favor exchanges that pay commissions. Many subscription platforms also supply a free tier or trial, often with one or a couple of bots, demo-only access, or three to 14 days before billing starts.

A fundamental algorithm may follow a rule that a trader already believed in, corresponding to a transferring average crossover. The technique is created based mostly on what already exists in the knowledge, and from existing assumptions concerning the market. The category simply means that a computer or piece of software program is performing the trades without guide enter.