There is always an abundance of AI technology announcements, here are some interesting ones that can aid the channel.
Equinix has unveiled its Distributed AI infrastructure, including agentic AI offerings. It includes a new AI-ready backbone to support distributed AI deployments, a global AI Solutions Lab to test new solutions, and Fabric Intelligence to better support next-generation workloads for enterprises.
As businesses look to deploy next-generation AI tools, such as AI agents, enterprises need to rethink their existing IT architecture. Equinix says its Distributed AI has been engineered from the ground up to support the scale, speed and complexity of modern intelligent systems, including the evolution from static models to autonomous, agentic AI capable of reasoning, acting and learning independently.
With a fully programmable, AI-optimised network linking over 270 data centres across 77 markets, Equinix says it is well positioned to address growing AI services demand.
“This is the infrastructure AI has been waiting for,” said Jon Lin, chief business officer at Equinix. “As AI becomes more distributed and dynamic, the real challenge is connecting it all, securely, efficiently and at scale.”
-Work AI provider Glean has unveiled the third-generation Glean Assistant, an AI extension of “you at work”, now capable of deeply personalising results and actions uniquely for every employee, and accomplishing complex agentic tasks without advanced prompt engineering.
Glean has also announced significant expansions to its Work AI platform, introducing new SDKs, and MCP capabilities that give enterprises the openness, interoperability, and context they need to build, extend, and operationalise AI agents at scale.
Underpinned by Glean’s new Enterprise Graph, the updates move organisations closer to the vision of the “superintelligent enterprise”, it says, where AI is embedded into every workflow to deliver faster, more accurate, and more autonomous work.
-Finance leaders know they should be spending more time guiding business decisions, yet their teams spend most of their time shuffling data between systems and fixing spreadsheets.
Maximor wants to change that. The company has announced a $9m seed funding round to expand its finance automation platform, AI agents that plug into ERPs, payroll, billing, and bank systems, to take on the repetitive accounting work and produce “audit-ready outputs by default”.
The round was led by Foundation Capital, with participation from Gaia Ventures (founded by SAP’s former chief strategy officer), and Boldcap.
Across its customer base, Maximor says it has delivered three strategic outcomes: around 40% more team capacity, freeing finance staff to focus on strategy, not mechanics, and leaner audits and streamlined closes, reducing compliance and valuation risk.
-The growth of AI is hampered by computational power. Increasing demands for AI to become ever more powerful and ever more accessible have placed a requirement for there to be ever more powerful computer chips. However, increasingly powerful chips produce more heat, making cooling a key bottleneck.
The early versions of OpenAI’s ChatGPT were trained on NVIDIA chips, which used 400W of power. However, only four years later, new GPUs and AI accelerators are already looking to increase the power requirements by 10x, which now requires liquid cooling. NVIDIA’s recent adoption of liquid cooling for its latest generations of data centre GPUs has highlighted this key demand.
Coming out of stealth mode, semiconductor cooling startup Corintis has raised a $24m Series A round to address the demand. The round was led by BlueYard Capital with participation from Founderful, Acequia Capital, Celsius Industries, and XTX Ventures, among others.
Corintis has announced it will be opening multiple US offices to better serve its American customers, in addition to an engineering office in Munich, Germany.
To date, the company has now raised $33.4m in total. Instead of facing AI off against computational requirements, the firm says its technology embraces AI to help cool computer chips more effectively. Chairman of Walden International and Intel CEO Lip-Bu Tan has joined as a board director and investor, with Geoff Lyon, former CEO and founder of CoolIT, also joining the board.
-DeepL, a global AI product and research company, has announced the launch of DeepL Marketplace, a centralised platform where businesses can discover and deploy trusted apps and integrations built on DeepL’s AI translation and writing APIs.
As enterprise demand for the company’s API solutions accelerates, we are told, DeepL Marketplace simplifies adoption with “ready-made integrations” that reduce the time, cost and complexity of implementation, while working “seamlessly” with the tools businesses already use.
Featuring both DeepL-built and partner-created applications, DeepL Marketplace offers a unified space to discover and enquire about integrations of its API for use cases, ranging from localisation to real-time translation and writing support. At launch, DeepL Marketplace offers integrations from a wide variety of trusted partners, including Becklyn, Consoltec, Like Reply, Phrase, cloudworx, Weglot, Robert, Coforge, Transcy, Gridly, Arveo, 1440, DigitAll360 and memoQ.
By building on DeepL’s API and listing their solutions on DeepL Marketplace, partners gain exposure to the company’s fast-growing network of over 200,000 business customers worldwide, including Mazda, Harvard Business Publishing, and Softbank Robotics.
“The launch of DeepL Marketplace gives businesses even more ways to leverage our translation and writing APIs to solve their language and communication challenges at scale,” said Jarek Kutylowski, CEO and founder of DeepL. “Our focus is on making DeepL available wherever customers need it, and through our growing partner ecosystem and trusted integrations, we’re making our technology even more accessible, flexible and easier to deploy.”
-A third of the workforce in US hospitals and physician offices is administrative staff, a cost that tops $450 billion annually. The system depends on armies of people answering phones, calling insurers, and chasing claims. Patients wait, providers lose appointments, and teams spend almost as much on billing work as they do on care.
Healthcare voice AI platform Prosper AI says it is changing the equation. Prosper says its revenue has already climbed 4x since Q2 2025 alone.
The company has now raised $5m in seed funding to accelerate its platform, which builds specialised AI agents for healthcare’s most critical front and back-office workflows. The round was led by Emergence Capital, the first backers of Salesforce, Veeva, and Doximity, with participation from Y Combinator, CRV, and Company Ventures.
Prosper AI builds AI voice agents that “speak like humans”, connect directly into practice management software, and handle tasks from patient scheduling and billing to insurance benefit verification and prior authorisations.
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