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.

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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.

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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.

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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.

Behavioral Patterns in Current Digital Engagement

Digital systems capture millions of user activities daily. These actions show consistent behavioral models that creators and developers examine to enhance offerings. Understanding how people explore sites, click buttons, and scroll through content aids develop more natural experiences. Behavioral patterns develop from repeated engagements across various devices and services. Users casino online non aams cultivate habits when engaging with digital offerings, creating predictable series of activities that show their goals and preferences.

Why user behavior has become the foundation of digital creation

Modern digital design prioritizes user casino non aams conduct over visual choices. Firms gather data about how users engage with platforms to detect problem issues. Analytics utilities gauge click frequencies, session duration, and navigation routes to understand what functions and what breaks down. Behavioral information fuels design decisions more efficiently than suppositions.

Creators analyze real user behaviors to build interfaces that align with organic interaction trends. Observing how people accomplish activities shows resistance points that delay transformations. Behavioral insights aid teams delete superfluous steps and simplify complicated workflows. Offerings built around real user behavior operate better than those based on stylistic patterns.

The move toward behavior-focused design demonstrates competitive market needs. Users leave platforms that annoy them within seconds. Behavioral evaluation offers solid proof about what needs enhancement, enabling teams to implement data-driven modifications that increase participation.

How habits influence the method users interact with interfaces

Users form automatic reactions when engaging with digital offerings continuously. These habits develop through regular contact to similar interface elements across services. People expect lookup bars in top edges and navigation options in expected locations. Violating these models generates disorientation and increases cognitive burden.

Routine actions decreases mental exertion required to finish recognized assignments. Users casino online non aams depend on muscle memory when pressing buttons or scrolling through content. This automation allows individuals to explore interfaces without deliberate consideration. Creators harness established behaviors by placing components where users naturally anticipate them.

New platforms prosper when they correspond with settled behavioral habits rather than compelling users to acquire new interaction frameworks. Social media applications have shared gesture patterns because users carry behaviors between platforms. Uniformity across digital products bolsters routines and renders adoption smoother, reducing training trajectories and improving contentment.

The part of recurrence in creating digital routines

Practice transforms intentional activities into spontaneous routines within digital contexts. Users migliori casino non aams who execute the identical series multiple times commence completing stages without conscious thought. Checking email, scrolling streams, or ordering food turn into ritualized patterns through continuous practice.

Digital offerings promote repetition through uniform interface arrangements and expected processes. Applications maintain comparable button placements across revisions to maintain established routines. Users complete tasks more quickly when interfaces remain unchanged. Regular recurrence forms neural routes that render exchanges feel easy.

Designers develop products that support habitual development by reducing variation in essential processes. Notification systems activate habitual actions by prompting users to revisit at scheduled periods. The blend of stable creation and planned reminders speeds up routine formation, converting infrequent users into daily members who interact without intentional decision-making.

Why users favor known interaction structures

Known interaction models reduce cognitive burden and produce pleasant digital experiences. Users casino non aams drift toward interfaces that match their current mental structures because mastering new platforms needs time and effort. Familiarity generates certainty, permitting people to browse systems without hesitation or worry of errors.

Recognition requires fewer cognitive processing than retrieval. When users meet familiar models, they instantly comprehend how to advance without consulting guidance. This immediate comprehension accelerates task completion and reduces irritation. Platforms that stray from recognized conventions require users to relearn fundamental engagements.

• Recognized structures reduce mistakes by matching with user anticipations about component behavior
• Uniform exchanges across platforms generate portable understanding users use to new products
• Predictable interface elements lessen anxiety and increase user certainty during navigation
• Conventional models permit users to focus on goals rather than figuring out functions

Companies adopt recognized interaction structures to lower adoption hurdles and hasten onboarding. Solutions that feel right away natural acquire rival benefits over those demanding prolonged learning periods.

How attention spans shape interaction behavior

Restricted focus spans require creators to prioritize essential data and simplify engagements. Users browse material quickly rather than reviewing thoroughly, rendering graphical hierarchy critical. Interfaces must capture attention within seconds or chance forfeiting users to rival systems.

Digital environments divide attention through constant alerts and conflicting triggers. Users shift between tasks frequently, infrequently keeping concentration on solitary activities for extended durations. This fragmented focus demands interfaces to facilitate fast return and easy resumption of interrupted assignments.

Creators adapt to reduced focus spans by dividing complicated procedures into smaller steps. Progressive revelation displays content incrementally rather than swamping users. Micro-interactions deliver rapid victories that preserve involvement without demanding deep attention. Thriving platforms deliver benefit in short, targeted periods that integrate seamlessly into fragmented everyday habits casino online non aams.

The impact of immediate response on user activities

Immediate feedback validates that user behaviors have registered and generates intended outcomes. Visual responses like button movements, color changes, or loading markers reassure users that systems are processing requests. Without quick feedback, users sense doubtful and frequently replicate actions, producing uncertainty.

Delayed replies annoy users and activate departure actions. Individuals expect platforms to recognize entries within milliseconds, matching the rate of physical interactions. Interfaces that deliver immediate graphical or tactile response appear responsive and trustworthy, creating trust and promoting continued interaction.

Feedback cycles mold future user behavior by reinforcing successful actions. Affirmative replies like checkmarks or progress signals inspire users to accomplish tasks. Unfavorable feedback such as mistake alerts directs users casino non aams toward proper behaviors. Well-designed feedback mechanisms train users how to interact effectively while preserving engagement through constant communication about activity consequences.

Why users lean to follow the path of minimal friction

Users naturally choose choices that need minimum work and mental processing. The route of least friction embodies the most straightforward route to achieving goals within digital interfaces. Users avoid intricate procedures, preferring simplified workflows that provide results quickly.

Friction points in user journeys cause exit as people look for simpler alternatives. Additional form inputs, superfluous verification stages, or confusing navigation boost effort and push users away. Effective services eradicate obstacles by reducing click counts, auto-filling data, and providing straightforward preset alternatives.

Default preferences and suggested steps guide users along predefined paths with minimum decision-making. Auto-filled forms, one-click purchasing, and saved preferences eliminate barriers to action. Users casino online non aams accept presets rather than exploring options because customization requires effort. Creators exploit this tendency by making desired steps the most straightforward selection, positioning primary choices visibly while concealing options in secondary lists.

The relationship between emotions and interaction choices

Feelings power interaction determinations more forcefully than logical evaluation. Users react to visual appearance, color schemes, and interface tone before evaluating practical functions. Favorable emotional replies produce favorable perceptions that influence subsequent choices. Frustration triggers adverse connections that continue beyond isolated sessions.

Design elements trigger particular affective conditions that mold user behavior. Vivid colors and fun transitions generate excitement. Simple designs with sufficient whitespace create calm and concentration. Users drift toward interfaces that match their preferred emotional mood or help attain affective goals.

Emotional reactions to micro-interactions gather over time, creating total product sentiment. Small delights like gratifying button clicks create positive emotional links. Oppositely, abrupt mistake messages produce nervousness. Designers migliori casino non aams create emotional experiences through meticulous focus to mood, pacing, and sensory feedback. Offerings that reliably deliver favorable emotional interactions foster loyalty regardless of rival functional features.

How mobile adoption has transformed behavioral trends

Mobile tools have profoundly transformed how users interact with digital content. Smartphones facilitate continuous access, transforming engagement from fixed desktop periods into uninterrupted participation during the day. Users inspect phones hundreds of times daily, establishing behavioral patterns centered on brief, repeated interactions rather than prolonged sessions.

Touch-based interfaces launched gesture mechanisms that supplanted mouse clicks and keyboard commands. Scrolling, pinching, and pressing turned into principal interaction approaches, requiring creators to reimagine navigation systems. Mobile displays necessitate thumb-friendly layouts with bigger touch zones placed within convenient access. Vertical browsing substituted page division as the prevailing content usage structure.

• Mobile adoption occurs in varied situations including traveling, waiting, and multitasking environments
• Portrait alignment turned into standard, demanding upright content layouts instead of sideways designs migliori casino non aams
• Location recognition allows situation-specific features linked to physical user locations
• Shorter interactions require quicker load times and instant worth presentation

Mobile-first design principles now influence desktop interactions as behaviors acquired on handsets carry to bigger displays. The transition to mobile has prioritized speed, ease, and usability in digital offering evolution.