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Invisible Technologies Raises $100 Million. Promises Next-Gen AI Infrastructure for Enterprises.

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Invisible-Technologies-Raises-100-Million.-Promises-Next-Gen-AI-Infrastructure-for-Enterprises.
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Invisible Technologies Raises $100 Million. Promises Next-Gen AI Infrastructure for Enterprises.

Invisible Technologies Raises $100 Million. Promises Next-Gen AI Infrastructure for Enterprises.

Invisible Technologies has just raised $100 million in growth funding, and the number isn’t the headline.

Most AI companies pitch the same gospel: plug in our model, run your data, watch the magic. Invisible doesn’t bother with that story. They’re building something far less glamorous and far more essential, the plumbing of AI. The messy, unsexy, but absolutely critical infrastructure that enterprises need if they want AI to actually work in the wild.

Think about it. Enterprises don’t run on clean, standardized data. They run on decades of legacy systems, contradictory processes, and edge cases that can kill efficiency. Drop a shiny new model into that environment, and it chokes. Invisible is trying to solve that choke point, taking AI “from A to B,” as they put it.

The funding round, led by Vanara Capital, brings Invisible’s total raise to $144 million. In parallel, their revenue doubled year-on-year to $134 million in 2024. And it says something simple: big organizations are desperate for AI that doesn’t just demo well but survives contact with reality.

Invisible brings its expansive stack to the table:

  1. Neuron to wrangle chaotic data,
  2. Atomic to map how businesses actually operate,
  3. Synapse to keep models honest with feedback and evaluation,
  4. Axon to run the agents that do the work, and
  5. A global Expert Marketplace to put humans where judgment still matters.

Call it modular AI infrastructure. Call it an antidote to the “black box” trap. Either way, this isn’t hype. It’s the groundwork for AI at scale.

And that’s the real signal in this $100 million raise: the future of enterprise AI won’t be won by the flashiest demos, but by the companies building the pipes, the maps, and the muscle to make AI reliable where it counts. Invisible isn’t promising an AI that will act as the panacea for all problems.

They’re promising something rarer, an AI that actually works.

Microsoft Introduces New Capabilities to Deliver Next-Level AI Readiness with Microsoft Fabric
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Microsoft Introduces New Capabilities to Deliver Next-Level AI Readiness with Microsoft Fabric

Microsoft Introduces New Capabilities to Deliver Next-Level AI Readiness with Microsoft Fabric

Businesses are moving from AI deployment to engineering it. It begs the question- are we AI-ready? Microsoft Fabric can make this challenge easier

“We are storytellers, we take the data and transform it into a clear, insightful story that drives action. I always say, numbers paint the picture, but it doesn’t tell the story; it’s up to us involved with the data to do that,” remarks a Business Analyst.

The crux? Data unification is imperative for AI-readiness.

It’s not just investing billions of dollars into the infrastructure and talent, and then letting AI steer the wheels. Truly diving into an AI-first future requires businesses to make an insightful and strategic use of the data at hand. It’s as every decision-maker asserts- data-driven strategies aren’t about all the data that you’ve at hand, but how you apply it.

Microsoft is adopting this philosophy, and as a step forward, revamping its next-gen data and analytics platform, Microsoft Fabric.

The goal is to transform how businesses interact with and leverage data at hand. This platform will streamline all organizational data for teams to convert it into actionable insights with full business context. For Fabric, your business isn’t just an immobile report full of numbers. It reads the whole context of your business and takes it as it is.

The tech giant has introduced new capabilities in Fabric to help business leaders amalgamate and make sense of their organizational data.

As we move from ideation to execution, sophisticated AI systems will require contextualized and rich data. But the point is, for these models, it’s not just numbers or random words, but a database of knowledge. And if it’s structured properly, it can facilitate these systems to connect, reason, and act with intent.

The need for organizing raw data has never been more apparent.

And as one hopes for smooth AI operations across organizations, smooth collaboration can only stem from connecting enterprise data. This will help teams to scale and exchange value through open data flows, introducing more actionable building blocks for AI adoption.

Microsoft Fabrics’ new capabilities aren’t just tools for data developers. They are strategic advantages for business leaders who wish to innovate and automate their in-house functions.

And instill lasting impact, through newfound efficiency and governance.

Nothing raises $200 million funding, to launch AI-native devices next year
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Nothing Raises $200M to Launch AI Devices Next Year – Ciente

Nothing Raises $200M to Launch AI Devices Next Year – Ciente

AI investments are booming- and Nothing, the new-age phone company, has put its name in the hat.

They are producing AI-native devices, which sounds like the natural evolution of our smartphones. To this end, Nothing has raised $200 million. This funding round was led by Tiger Global, and partners like GV, Highland Europe, EQT, Latitude, 12BF, Tapestry, Nikhil Kamath, and Qualcomm Ventures.

“Products that are available to the user at the moment of need, paired with intelligence that turns understanding into action. This is a very exciting time, imagining devices that capture context across modalities and generate interfaces on demand, shaped by what the user is trying to accomplish,” said Carl Pei, CEO and Co-founder of Nothing.

The devices Nothing creates are poetry in motion; however, their recent launch, The Nothing Phone 3, was criticized for its price point and specifications.

Some critics argued that they focused too much on the external design and less on the internal specs- something that Nothing’s fans are passionate about.

However, Carl Pei is known to take criticism and improve on his designs. The 2a was a fantastic phone for its price range and was beautifully designed. The organization deserves the hype behind it, and with their track record, these AI-native devices would be beautiful to look at.

But they must balance this with internal specs and features to match it.

Nothing has to find a harmony with its aesthetics and functionality- again achieved by the 2a. Its software was created to complement the hardware. This means the organization knows what to do and might be assessing how the market reacts to different kinds of offers.

But what is AI-Native?

While investors are excited about AI’s potential, how will these AI-native devices function, and what do they mean?

The reports of an AI bubble have made investors cautious.

Because the question is: beyond the software, how can AI be used to augment and transform hardware?

Any organization that comes up with a definitive answer will be counted in the same league as OpenAI, a pioneer. But that is yet to be seen.

CoreWeave Strikes an Agreement with NVIDIA for Unused Cloud Computing Capacity
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CoreWeave, NVIDIA Partner for Unused Cloud Computing Capacity

CoreWeave, NVIDIA Partner for Unused Cloud Computing Capacity

Will CoreWeave’s latest ascent and Nvidia-partnership prove an opportunity to play for the major leagues, or will it turn into a one-hit wonder?

CoreWeave’s stocks have soared over 20% in the last week. A key contributor to this shift is its recent partnership with Nvidia.

Nvidia can purchase CoreWeave’s unutilized cloud capacity through 2032 as per the initial $6.3 billion agreement. In alternative terms, the leading chip maker is obligated to buy CoreWeave’s unsold cloud computing space if its data centers remain underutilized by its customers.

The alliance has set the shares of the cloud platform soaring.   

Speculations divulge that the AI infrastructure company could witness gains due to its contracts with major tech players. And after it unlocks the shell capacity shrouded from the customers.

The surging demand for AI infrastructure remains at the nucleus. It’s obvious, but citing it remains fundamental to the market push and pull. The recent contractual announcements have been solid proof of the insatiable demand. This is where CoreWeave stands, at the very center.

The demand is fueling the cloud company’s shares, which have been consistently rising 7% during intraday trading since Monday. And has even gained 200% after going public this year.

Industry checks actively position CoreWeave as the frontrunner in delivering GPU capacity at scale. And Deutsche Bank seems to be its major supporter at the moment as it adds the company to its Catalyst Call Buy Idea List.

The bank confidently signs off, stating that CoreWeave will experience an upward revision in its revenue, at least by 174%, data analysts assert.

But will CoreWeave’s instant surge be able to make up for the loss it has been witnessing, a net loss of $1.1 billion over the last 12 months?

The huge AI contracts may propel it forward and establish it as a key participant in AI initiatives- a part of the major leagues.  But could it become profitable in the long term and play neck to neck with its rival, Nebius?

StarHub Launches Dynamic Ad Pods to Improve Real-time Ad Experiences
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StarHub Launches Dynamic Ad Pods for Better Ads – Ciente

StarHub Launches Dynamic Ad Pods for Better Ads – Ciente

StarHub’s forward-thinking approach is a strategic step to maximize the outcome from ads, while making TV time enjoyable again.

Digital advertising has taken a significant leap from traditional advertising, which follows a one-size-fits-all approach. The lackluster promises etched on flashy graphics aren’t as effective today.

As modern consumers grow increasingly informed and aware of the market, they want change. They wish for-

Hyper-personalized experiences that resonate with their personal interests and preferences.

This is where digital advertising made a pivot to programmatic advertising. And it’s fair to say that the domain is still innovating.

In recent developments, we’ve developed Singapore’s first-ever solution that changes ads in real-time during live TV broadcasts.

How is it different?

Most connected TV ads run on demand or before broadcasts. But these were unnecessarily disruptive and repetitive. StarHub sought to do something unique, and revolutionize TV advertising.

In partnership with Hoppr, the Singapore-based company has built dynamic ad pods. These will unlock a great deal of opportunities for advertisers to provide relatively more relevant and intelligent experiences to the viewers without disrupting their live program experiences.

How does it work?

It’ll draw on 175 million hours of viewing data insights through StarHub’s advanced CTV Server-Side Ad Insertion (SSAI) technology. In other words, two neighbouring households watching the same live program will be able to see two different ads based on the household’s interests.

Moreover, Dynamic Break Matching ascertains that the viewing experience is less disruptive and the ads fit in naturally. To ensure this, dynamic ad pods are available in diverse formats, such as pre-roll and mid-roll, to be delivered during high-engagement moments. All while retaining the energy from the entertainment program.  

This is a fascinating feat for digital advertising as it’ll help reduce media waste and improve performance measurement in the long run.

StarHub’s solution isn’t just a tool. It’s an innovative leap for digital ads, one that combines the power of TV storytelling and the precision of digital media to develop a more connected customer journey.

RingCentral has acquired CommunityWFM.
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RingCentral has acquired CommunityWFM.

RingCentral has acquired CommunityWFM.

RingCentral, a global leader in AI-powered business communications, has just acquired CommunityWFM.

This acquisition comes at the right time in tech history as demand for AI-powered WFM has risen sharply. As hybrid and remote workforces become the norm, organizations have been able to extract talent from around the globe.

However, managing them is quite different. With this move, RingCentral tackles two facets and enables global workforce management.

These are:

  1. Strengthen their global business communications.
  2. Use their AI capabilities to improve CommunityWFM’s contact centers.

RingCentral has tried to enter the CC-a-a-S but couldn’t because of a native WFM system. This acquisition will help them bridge this gap.

“By providing CommunityWFM’s AI-driven workforce management capabilities together with our AI-first RingCX platform, we’re giving businesses the complete set of tools to optimize operations while empowering their people—creating the foundation for superior agent performance and effortless customer experiences.” — Kira Makagon, President & COO, RingCentral.

This quote makes it clear that RingCentral wants to become a one-stop shop for businesses looking to optimize operations. Mix AI-Powered systems in this, and you get a powerful tool that can empower businesses.

The Benefits?

  1. Operations and leadership can benefit from better forecasting, less manual work, and better real-time adjustments in schedules.
  2. Customer experience (CX) may improve as staffing better matches demand (reduced wait times, fewer dropped calls, etc.).

But what are the things to watch out for?

  1. How RingCentral integrates CommunityWFM: technology, UI/UX changes, rollout timelines.
  2. Whether pricing tiers or feature bundles change over time.
  3. How competitors respond ‒ will other CCaaS / UCaaS vendors accelerate building/acquiring WFM?
  4. Feedback from actual users/employees: Does the promised benefit hold up in real usage?

As the global workforce transforms, RingCentral will find itself leading the pack. However, as with all things tech, only time will tell.