
Databricks to buy open-source database startup Neon for $1B
Data analytics platform Databricks said on Wednesday that it has agreed to acquire Neon, a startup building an open source alternative to AWS Aurora Postgres, for about $1 billion.
Databricks said acquiring Neon's tech would let it combine the startup's serverless relational database management system with its own data intelligence services to let its customers deploy AI agents more efficiently.
Founded in 2021 by industry veteran CEO Nikita Shamgunov, software engineers Heikki Linnakangas and Stas Kelvich, Neon offers a managed cloud-based database platform (with free and usage-based paid plans) that lets developers clone databases and preview changes before they go to production. The platform automatically scales processor, memory and storage according to usage, and supports branching — isolated database instances for testing and development — as well as point-in-time recovery.
Those capabilities, Databricks says, are ideally suited to workloads run by AI agents, which operate faster than human developers but often require supervision to control for errors. Citing recent telemetry, the company said 80% of the databases 'provisioned on Neon were created automatically by AI agents rather than by humans.'
'The era of AI-native, agent-driven applications is reshaping what a database must do,' said Ali Ghodsi, co-founder and CEO of Databricks, in a statement. 'Neon proves it: four out of every five databases on their platform are spun up by code, not humans. By bringing Neon into Databricks, we're giving developers a serverless Postgres that can keep up with agentic speed, pay-as-you-go economics and the openness of the Postgres community.'
Neon has so far raised $129.5 million, according to Crunchbase, and its investors include Microsoft's venture arm M12, General Catalyst, Menlo Ventures, and Notable Capital. Databricks, for its part, has so far accumulated more than $19 billion in financing, and in January closed a $15.3 billion financing at a $62 billion valuation.
Databricks hasn't held back from dipping into its warchest as it seeks to capitalize on the AI boom and position itself as a top service to build, test and deploy AI models and agents. The company last June acquired data management company Tabular, reportedly for nearly $2 billion, and in 2023 bought MosaicML, an open-source platform for training large language models and deploying AI tools, for $1.3 billion.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
2 hours ago
- Yahoo
Google AI is worse at Pokemon than I was when I was 5 – taking 800 hours to beat the Elite 4 and having a breakdown when its HP got low
When you buy through links on our articles, Future and its syndication partners may earn a commission. If you're someone who thinks AI is almost ready to take over the world, I have some good or bad (depending on your stance on things) news for you: Google's Gemini 2.5 Pro took over 800 hours to beat the 29-year-old children's game Pokemon Blue. There's a Twitch account called Gemini_Plays_Pokemon, a pale imitation of the incredible Twitch Plays Pokemon account that started this trend. First things first: how long did it take the AI to actually complete the game? Well, it was a staggering 813 hours. I feel like you could hit buttons randomly and beat the game faster than that. After some tweaks by the creator of this Twitch channel, the AI managed to halve its time to a still outrageous 406.5 hours. That is actually dead on half the time, which is interesting mathematically but still far too long to beat a game you can win with an overleveled Venusaur. Additionally, as spotted by our friends at PC Gamer, Google DeepMind reported on the Twitch account, and something unusual happens whenever its Pokemon get low on health or power points (PP). Whenever one or both of these conditions are met, "model performance appears to correlate with a qualitatively observable degradation in the model's reasoning capability – for instance, completely forgetting to use the pathfinder tool in stretches of gameplay while this condition persists." This, combined with the AI mistakenly thinking it was playing FireRed and LeafGreen and would need to find the Tea to progress, are part of the reasons it took so long to finish. Honestly, AI just isn't very good at playing Pokemon. Someone else made Claude Plays Pokemon, and that AI spent hours trying to get out of Cerulean city because it kept jumping down a ledge to talk to an NPC it had already spoken to dozens of times. So, these AIs aren't able to beat a game that we could when we barely knew our times tables. Let's not worry about them taking our jobs any time soon. In the meantime, check out the best Pokemon games of all time.
Yahoo
2 hours ago
- Yahoo
FinThrive Introduces Agentic AI at HFMA 2025 to Help Customers Transform Healthcare Revenue Cycle Management Performance
Company to also highlight advancements in denials and underpayments management and speak to the measurable impact of RCM technology adoption DENVER, June 22, 2025 /PRNewswire/ -- FinThrive, Inc., a leading healthcare revenue management software-as-a-service (SaaS) provider, will have a significant presence at the 2025 Healthcare Financial Management Association (HFMA) Annual Conference, which will take place June 22-25 in Denver, Colorado. With high-profile speaking engagements, live demonstrations of cutting-edge solutions, and Agentic AI-driven innovation, FinThrive will showcase how its revenue cycle management platform helps healthcare organizations modernize operations, reduce friction and more strategically and proactively recover revenue. Advancements in Artificial Intelligence – Agentic AI FinThrive is expanding its suite of AI, machine learning (ML), generative AI, and robotic process automation (RPA) tools with the launch of Agentic AI capabilities, a next-generation innovation in healthcare revenue cycle management. Unlike traditional revenue cycle automation tools that rely on predefined rules, agentic AI introduces intelligent digital agents capable of autonomous decision-making, dynamic workflow optimization, and complex task execution. These capabilities enable providers to recover revenue faster, reduce operational friction, and adapt to payer behavior in real time. FinThrive's differentiated approach leverages broad integration across revenue cycle workflows, scalable payer connections, and a real-time data fabric layer that continuously analyzes trends to support optimized execution. In addition to Agentic AI, FinThrive incorporates AI Machine Learning, Generative AI and RPA across its platform to optimize the revenue cycle from cash flow forecasting to prior authorization determination to expediting contract loading. FinThrive's cloud infrastructure and data lake allow for a broad array of use cases to be delivered and enhance existing RCM solutions. FinThrive leverages a broad integration across revenue cycle workflows, scalable payer connections, and a real-time data fabric layer that continuously analyzes trends for optimized execution. This differentiated approach ensures agentic AI delivers not just automation, but intelligent, enterprise-wide transformation across revenue operations. Agentic AI delivers significant advantages across the revenue cycle by enabling intelligent, autonomous operations. It allows digital agents to prioritize accounts, flag incomplete documentation, and apply real-time coding corrections. Complex tasks like payer rule adjustments, eligibility checks, and prior authorization determinations are streamlined through end-to-end automation. The system continuously learns by monitoring payer behavior, integrating feedback loops, and refining execution strategies dynamically – this reduces manual workloads, boosts staff productivity, and enables teams to focus on higher-value activities. At the same time, Agentic AI strengthens compliance by ensuring all documentation and AI-generated content align with regulatory standards. Agentic AI is a key element of a new intelligent data platform FinThrive is launching at the HFMA Annual Conference. This future-ready foundation is the modern operating system for revenue cycle transformation, bringing AI, analytics, and automation together to deliver faster insights, greater accuracy, and measurable performance improvement. By embedding intelligent decision-making and automation across the entire revenue lifecycle, FinThrive will empower healthcare organizations to operate more efficiently, recover revenue faster, and adapt at scale in an evolving payer environment. Agentic AI is only one component of a comprehensive, tech-forward infrastructure FinThrive will launch tomorrow at the conference. This exciting innovation establishes FinThrive as the modern foundation for exponential value creation in healthcare revenue operations, enabling AI, automation, and analytics to work better, faster, and at scale. As FinThrive continues to innovate, multiple AI-driven agents are slated for release in the future. FinThrive's commitment to redefining revenue cycle management through Agentic AI empowers providers to work smarter, recover revenue faster, and drive operational excellence. RCMTAM: Modernization with Measurable Impact During a breakout presentation titled, Connecting RCM Technology Adoption & Modernization Patterns to Financial Performance, Evan Goad, FinThrive's Chief Growth Officer will be joined by Mike Vigo, Chief Revenue Cycle Officer at UC San Diego Health, to share how leading organizations have utilized the results of the RCMTAM in the past year, highlight best practices for financial improvement and what they see for the future of the technology modernization journey. Developed in partnership with HFMA, the RCMTAM is the industry's first company-agnostic benchmarking model designed to help providers assess and prioritize technology investments. Since its launch in late 2023, more than 150 organizations have completed the RCMTAM assessment, with two achieving the coveted Stage 5 level, signifying end-to-end optimization and advanced revenue intelligence. The presentation will occur on June 23 from 3:00 to 3:50 p.m. at Mile High 2A & 3A. Onsite Debut: Denials & Underpayments Analyzer Attendees will also get a first look at FinThrive's new Denials & Underpayments Analyzer. The AI-powered tool helps providers convert payer data noise into actionable financial insights, pinpointing denial patterns, underpayment trends, and high-value recovery opportunities. Live demonstrations will be available throughout the event at the FinThrive booth. Visit FinThrive at Booth #631 during HFMA 2025 to explore the latest innovations, connect with our experts and experience what's next in healthcare revenue transformation. About FinThriveFinThrive helps healthcare organizations increase revenue, reduce costs, expand cash collections and ensure regulatory compliance across the entire revenue cycle continuum. Providing one of healthcare's most comprehensive revenue cycle management SaaS platforms, FinThrive's holistic approach to intelligent revenue management offers patient access, charge integrity, claims management, contract management, AI machine learning, generative and agentic AI, robotic process automation, data and analytics, and education solutions. Three out of five U.S. hospitals and health systems are using FinThrive today. For more information, visit View original content to download multimedia: SOURCE FinThrive, Inc.


Entrepreneur
2 hours ago
- Entrepreneur
This Windows 11 Pro Upgrade Is a No-Brainer at $15
Disclosure: Our goal is to feature products and services that we think you'll find interesting and useful. If you purchase them, Entrepreneur may get a small share of the revenue from the sale from our commerce partners. You don't need to overhaul your company's hardware to boost performance. Sometimes, the smartest investment is in the operating system itself. Right now, business leaders can grab a lifetime license to Microsoft Windows 11 Pro for just $14.97 (regularly $199) through July 20—a powerful upgrade for any professional environment. Whether you're running a solo consultancy, scaling a startup, or managing a growing remote team, Windows 11 Pro offers the security, productivity, and performance enhancements your operation demands. It's designed for power users and professionals who can't afford downtime, slow systems, or limited features. With tools like BitLocker encryption, Hyper-V virtualization, Azure AD support, and Windows Sandbox, this version goes far beyond the home edition. For entrepreneurs juggling sensitive data or developers working in isolated environments, these are necessities. The modernized interface and snap layouts make multitasking a breeze, while Windows Copilot, the built-in AI assistant, helps you summarize content, generate code, or change settings in seconds. It's a productivity win, especially when paired with Teams and voice-to-text capabilities. For small business owners navigating hybrid teams or IT managers juggling multiple devices, Windows 11 Pro also simplifies device management. With features like Group Policy support and remote desktop functionality, you can easily configure, monitor, and secure multiple machines from a single point of control. This is especially useful for businesses with distributed teams or those handling sensitive client data. Plus, compatibility with Microsoft Intune and third-party endpoint management tools means you can streamline onboarding and enforce security policies—without having to invest in expensive IT infrastructure. This is a lifetime license, so you only pay once, and never worry about renewals or subscriptions again. Get Windows 11 Pro for just $14.97 (reg. $199) through July 20. Microsoft Windows 11 Pro See Deal StackSocial prices subject to change.