18, Feb 2026
ManageEngine Introduces Causal Intelligence and Autonomous AI to IT Operations for Faster Incident Response
Egypt, Cairo, Feb 18 – ManageEngine, a division of Zoho Corporation and a leading provider of enterprise IT management solutions, today added new causal intelligence and autonomous AI capabilities in Site24x7, its full-stack observability platform. These enhancements transform how enterprises handle outages, shifting from firefighting to autonomous resilience. By drastically reducing mean time to recovery (MTTR) and ensuring service-level agreement (SLA) compliance, Site24x7 helps IT teams safeguard the customer experience and retain trust.
Modern IT environments are increasingly fragmented across hybrid clouds, microservices, and dynamic networks, generating massive volumes of telemetry and predictive anomaly signals every second. When an incident occurs, this complexity turns troubleshooting into a needle-in-a-haystack search, often leading to prolonged downtime. IT teams struggle to correlate anomaly signals and events across these layers, delaying the critical fix to restore normalcy, jeopardizing brand reputation.
“Hybrid and cloud-native architectures have made IT operations highly interconnected, while IT managers are under constant pressure to resolve incidents quickly amid growing complexity,” said Srinivasa Raghavan, director of product management at ManageEngine. “By combining predictive anomaly detection, intelligent event correlation, service dependency context, and AI-driven causal insights, Site24x7 cuts through alert noise to show not just what is broken, but what caused it and what it impacts, helping teams identify the true fault faster and significantly reduce MTTR while minimizing service disruption.”
“Triaging and resolving incidents in hybrid environments with growing infrastructure complexity can quickly become a nightmare, especially when SLA commitments are on the line,” said Pravir Kumar Sinha, IT leader at Synechron, a global IT services company and one of the early customers to access the feature. “With Site24x7 AIOps , we’re able to filter out nearly 90% of alert noise, pinpoint issues faster, and accelerate resolution. This helps us achieve stronger SLA adherence, reduce MTTR, and ultimately deliver reliable digital experience for customers.”
The introduction of autonomous AI in Site24x7 represent a practical step toward more autonomous IT operations by analyzing observability data, reducing cognitive overload, and turning insights into clear, actionable guidance. “With MCP providing the control and governance layer, we ensure this intelligence is applied securely and within enterprise guardrails. This empowers IT leaders move toward agentic workflows with confidence, stay ahead of the AI adoption curve, and strengthen the resilience of their critical digital services,” said Raghavan.
Key capabilities include:
- Domain-aware causal correlation with predictive anomaly detection: Detects anomalies and correlates related signals across applications, infrastructure, and networks into a single, context-rich problem—so teams can quickly understand what is connected and where to start.
- Customizable AI Agents with governed, task-driven automation: Enables customers to create and tailor AI Agents, set approved guardrails using solution documents, and assign tasks that guide agents from analysis to guided action—making response workflows more consistent across teams.
- MCP-enabled agentic foundation for customers: MCP provides the enabling layer for customers to build and operationalize agentic use cases on top of observability data—standardizing how agents access data, follow approved guidance, and execute tasks within enterprise-ready controls and auditability.
- Orchestrated remediation with Qntrl: Co-ordinates downstream actions through structured workflows and repeatable runbooks, powered by Zoho’s workflow and orchestration platform Qntrl, with approvals and traceability built in to support controlled automation.
These AIOps capabilities are now available for all users in Professional and Enterprise plans.
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- By Neel Achary
18, Feb 2026
Seco® High Feed SP07 reduces inventories and maximizes productivity
Capable of handling a wide mix of materials, Seco® High Feed SP07 excels in all machining strategies and allows you to push productivity levels, particularly on complex components.
A positive cutting rake angle ensures optimal chip formation, while the stable insert design and constant lead angle deliver predictable cutting behavior, paramount for unmanned production.
Reduce the need for skilled labor
The SP07 addresses common industry challenges: frequent tool changes, unpredictable results, and high costs due to rapid wear. In one reliable solution, it simplifies tool management and reduces the need for skilled labor. Digital traceability via Data Matrix codes further streamlines operations, making the SP07 ideal for high-volume and unmanned production.
High metal removal rates in shallow depths of cut
Each insert features four cutting edges, maximizing usage and extending tool life. Even with shallow depths of cut (≤0.8 mm), the SP07 maintains high metal removal rates, ensuring manufacturers stay on track with productivity goals. The result is a significant reduction in cost per part and improved operational efficiency.
“Our customers need to boost productivity and cut costs. Seco® High Feed SP07 delivers reliable, flexible performance across materials”, says Benoît Patriarca, Product Manager Copy High Feed Milling. “The four cutting edges and digital traceability simplify processes further, even when skilled labor is limited.”
With its origins in Fagersta, Sweden and present in more than 75 countries, Seco is a leading global provider of metal cutting solutions for indexable milling, solid milling, turning, holemaking, threading and tooling systems. For nearly 100 years, Seco has driven excellence throughout the entire manufacturing journey, ensuring high-precision machining and high-quality
18, Feb 2026
Brookhaven Lab Builds Successful ‘Cloud in a Box’
Feb 18: In a quiet laboratory, a team of atmospheric scientists and engineers at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory recently gathered around a workstation to watch as little floating speckles, illuminated by a curtain of green light, swirled into a haze, then wisp of a cloud.
This instance of creation unfolded inside a programmable atmosphere they’d built from scratch.
“We saw the birth of a cloud,” said Brookhaven atmospheric scientist Arthur Sedlacek. “There was a lot of excitement and happiness, and relief, in that moment. Needless to say, we definitely weren’t quiet after that.”
Researchers will use the new convection cloud chamber, a customizable one-cubic-meter metal box, to tackle fundamental unknowns that remain about clouds.
Clouds might seem simple — white, fluffy shapes drifting overhead — but they remain one of the biggest sources of uncertainty in models of weather and Earth’s complex atmospheric system.
Scientists know that clouds play important roles in regulating Earth’s energy balance, controlling how water moves through the atmosphere, driving storm formation, and influencing how intense weather systems become. Still, researchers’ understanding of the physics underlying cloud processes is limited.
“We need repeatable, controlled experiments in order to tease out the key factors and mechanisms governing those underlying small-scale processes,” Sedlacek said. “For example, one long-standing unsolved problem in our community is how drizzle or raindrops are formed in warm clouds. Why do some clouds precipitate while others do not?”
Collecting key and abundant measurements from clouds in nature, while challenging, provides some data needed to address these questions. Brookhaven scientists and their collaborators have piloted specially equipped aircraft through clouds to collect such data. But each flythrough hits a cloud that has already changed since the plane’s first pass.
The cloud chamber will allow scientists to study clouds in a more controlled setting.
“The cloud chamber provides us with a unique environment to isolate and rigorously study important but still poorly understood cloud microphysical processes,” said Brookhaven atmospheric scientist Fan Yang. “We can use it to mimic real atmospheric clouds under well-controlled laboratory conditions and perform detailed, repeatable cloud measurements.”
Watch as a cloud forms in the chamber. Scientists use a green laser to see the process. (Brookhaven National Laboratory)
Controlled cloud making
Brookhaven Lab’s convection cloud chamber combines ingredients needed to make a cloud: air that is supersaturated with water and aerosol particles, tiny particles suspended in the atmosphere that can trigger the condensation of water vapor into cloud droplets.
Scientists first fill the chamber’s bottom baseplate with water. Then they heat it up, releasing water vapor into the chamber through evaporation. The top panel of the box is cold. As the warm water vapor from the bottom rises and mixes with cool air from the top, it builds up an atmosphere where the air is “thick” with humidity.
“Cloud formation requires the relative humidity to be greater than 100% — a condition we refer to as supersaturation,” Sedlacek said. “Such a supersaturated environment is achieved in the chamber by the mixing of warm humid air with cold humid air.”
To trigger cloud droplet formation in this supersaturated atmosphere, scientists inject aerosol particles, such as table salt, into the chamber to serve as “seeds” for cloud formation. When water vapor from the air condenses on the salt particles, it forms tiny cloud droplets. In the humidified environment, these droplets will continue to grow through additional condensation of water vapor. Eventually, this establishes a steady state between the cloud droplet particle size and the relative humidity.
“One major advantage of a convection cloud chamber, compared with other types of cloud chambers, is that we can maintain a turbulent cloud for hours in a steady state,” Yang said. “This will allow repeated measurements of cloud properties, which improves statistical robustness.”
The cloud chamber at Brookhaven Lab is made up of individual heating and cooling side panels that allow researchers to steer settings such as relative humidity, temperature, and the degree of mixing and swirling in the air, or turbulence, to create a complex structure. Rearranging the heating and cooling side panels will allow the creation of different internal chamber conditions, resulting in more complex cloud schemes to be formed. Additionally, the chamber is designed so that scientists can measure the influences of things like aerosol composition and size, temperature on cloud formation, cloud droplet size distribution, and cloud persistence.
“From an experimental perspective, there are lots of knobs we can turn to create specific atmospheric conditions within the chamber,” Sedlacek said. “We’ve started thinking about how we can incorporate artificial intelligence and machine learning into the cloud chamber’s workflow.”
The unique modular design also offers flexibility for the future. For example, the structure is meant be expandable. Adding another cubic meter on top would expand the working volume, leading to increased cloud lifetime. This would open the door to even more ambitious studies of drizzle and rain drop formation, the researchers said.
Making measurements with advanced imaging
A crucial component of these studies is using tools that can take measurements inside the cloud chamber without touching and disrupting the cloud and its environment. The Brookhaven team is developing next-generation instrumentation and methods to make this possible.
“We want to be able detect the transition of aerosols to cloud droplets to drizzle without sticking instruments inside the chamber so that we don’t disrupt the air flow,” Sedlacek said. “To realize this goal, we’ll use light.”
Scientists aim to, first, detect aerosols particles that activate into cloud droplets by tagging the particles with fluorescent dye. Tagged and activated aerosols will light up when hit by a laser. Next, researchers will use time-correlated photon-counting lidar — a laser-based remote-sensing instrument — to observe a cloud’s structure at the scale of a single centimeter. Then, to detect drizzle and follow its movement within the cloud chamber, they plan to use novel THz radar that captures individual droplets and measures how fast they fall.
Powered by collaboration
What started out as brainstorming, scribbles, and long chats turned into a solid design for a successful convection cloud chamber — one of only two in the nation — thanks to close collaboration between scientists, engineers, and support staff across Brookhaven Lab.
“The expertise necessary to create something like this chamber requires modelers, observationalists, experimentalists, and engineers to pull it all together — and that is part and parcel of what national labs do,” Sedlacek said.
Engineers from the Lab’s Instrumentation Department and scientists from the Environmental Science and Technology Department began collaborating on the cloud chamber a few years ago, after a meeting that highlighted Instrumentation’s capabilities and how they could support scientific research. That discussion sparked the idea to build a cloud chamber together.
As the team formed, engineers refined the design while learning more about the scientific requirements — especially the need for precise temperature control.
“It was a very iterative process,” said mechanical engineer Nathaniel Speece-Moyer. “We have great people and resources on site, and we used our engineering judgment to weigh different design options with frequent input from the scientific staff. We converged on a final design that the group is happy with.”
The final design is modular and carefully controls temperature while ensuring that air and particles inside the chamber remain undisturbed. All of the hardware is located outside the chamber to avoid interfering with experiments.
Many of the components were fabricated in house by Brookhaven Lab’s fabrication services, which reduced costs and allowed the engineering team to make adjustments along the way, said mechanical engineer Connie-Rose Deane.
“This cloud chamber is a great example of how engineers, scientists, and technicians can collaborate together to achieve something special,” Deane said. “We also had a lot of support from budget, safety, and facilities staff. What really powered me through this work was the excitement everyone brought to the project.”
Throughout the process, the team also drew on experience gained from the Michigan Technological University’s (MTU) Pi Cloud Chamber, the only other convection cloud chamber in the United States. Raymond Shaw, a professor at MTU, has a joint appointment with Brookhaven’s Environmental Science and Technology Department and was key to developing both chambers.
“Cloud chamber science is experiencing a resurgence for several reasons,” Shaw said. “Perhaps most importantly, the atmospheric physics community has realized that there are still fundamental questions about how aerosol and cloud particles interact that directly influence how we can simulate atmospheric flows using coarse-resolution models, such as for storm or weather forecasting. The simplified, controlled, repeatable, and well-characterized conditions provided by a laboratory experiment in a cloud chamber can provide important insights.”
At the same time, additional advances now make it possible to simulate these processes in great detail, enabling direct comparisons between experiments and computational models, Shaw said.
Yang added: “The cloud chamber at Brookhaven Lab is the outcome of more than 10 years of experience. We’ve learned a lot from the Michigan Tech Pi Cloud Chamber group and from a multi-institution research activity jointly funded by DOE and the National Science Foundation aimed at exploring ideas for a larger-scale cloud chamber facility. We want to shout out all the work that led to this very smart design.”
Scientists, engineers, and technicians worked together to assemble Brookhaven Laboratory’s convection cloud chamber. (Timothy Kuhn/Brookhaven National Laboratory)
Looking beyond the clouds
The potential of Brookhaven Lab’s new “cloud in a box” testbed stretches beyond just studying clouds. Its creators encourage suggestions for other research areas it can support.
Ideas floated for potential uses so far include investigations into how atmospheric conditions impact the performance of energy and information infrastructure, as well as the movement of bioaerosols — tiny natural particles such as pollen and pathogens.
“The environment we create inside this chamber opens up other applications,” Sedlacek said. “We welcome the opportunity for ‘out-of-the-box’ ideas that this brand-new capability at Brookhaven Lab can provide.”
This work was supported by Brookhaven’s Laboratory Directed Research and Development program.
Brookhaven National Laboratory is supported by the Office of Science of the U.S. Department of Energy. The Office of Science is the single largest supporter of basic research in the physical sciences in the United States and is working to address some of the most pressing challenges of our time.
18, Feb 2026
ELCIA Unveils New Leadership Team to Drive Electronics & Semiconductor Growth
Bengaluru, Feb 18 : Electronics City Industries Association has announced a leadership transition as it prepares to scale up its role in strengthening India’s electronics manufacturing and semiconductor ecosystem.
As part of this change, V Sriram Kumar has been appointed Chief Executive Officer of ELCIA. He previously served as President of the association and brings over three decades of industry experience. Sriram spent a significant part of his career at FANUC India, Japanese Automation and Robotics company, and has also been associated with ELCIA for more than 25 years in various honorary roles.
In his new role as CEO, Sriram will focus on driving ELCIA’s strategic initiatives, strengthening industry collaboration, and building long-term institutional capabilities aligned with national priorities in electronics manufacturing and semiconductors.
The leadership transition comes at a time when ELCIA is expanding its scope beyond industry representation to active ecosystem enablement. With India placing strong emphasis on electronics manufacturing, semiconductors, and deep technology innovation, ELCIA has launched several initiatives aimed at supporting industry, startups, and academia.
One of the key initiatives is the Electronics Centre of Excellence (e-COE), which has been envisioned to enable sensor development in India. Through this initiative, ELCIA aims to act as a catalyst for indigenous IP creation while enabling companies to design, develop, and commercialise sensors for domestic and global markets.
ELCIA is also strengthening its focus on talent and innovation infrastructure through the Electronics Skill Development Centre (ESDC) and the ELCIA Tech Hub. The Tech Hub follows a cluster-based approach to support co-development, prototyping, and collaboration among industry players, startups, and research institutions.
Alongside this transition, Sujaya Shashikiran, Executive Chairperson of Hical Private Limited, India’s leading manufacturer of electro-mechanical systems for global aerospace and defence platforms, has taken over as President of ELCIA. She will be supported by the Executive Committee and the association’s operational team, providing strategic direction and governance as ELCIA scales its initiatives.
Commenting on his appointment, V Sriram Kumar said,
“ELCIA is entering a phase where execution and impact are critical. India’s push towards electronics manufacturing and semiconductors presents a significant opportunity. Our focus will be on building platforms and partnerships that help the ecosystem innovate, develop capabilities, and scale sustainably.”
Sujaya Shashikiran said,
“ELCIA has played a pivotal role in shaping the Electronics City ecosystem. As President, I look forward to working with the Executive Committee and the CEO to strengthen ELCIA’s initiatives and ensure they deliver tangible value to industry and the larger ecosystem.”
With this leadership transition, ELCIA signals its intent to take on a larger role in India’s electronics and semiconductor journey by moving from advocacy to active ecosystem building and long-term capability creation.
17, Feb 2026
Odisha to Showcase ‘AI-to-Impact’ Readiness at India AI Impact Summit 2026 with Dedicated Pavilion
New Delhi, Feb 17: The Government of Odisha will showcase its vision and preparedness in Artificial Intelligence at the India AI Impact Summit 2026 through a dedicated Odisha Pavilion at Bharat Mandapam, New Delhi, from 16 – 20 February 2026.
The Odisha Pavilion will present the State’s “Odisha – From AI to Impact” approach, highlighting how Odisha is moving beyond pilots to real-world deployments across governance, healthcare, agriculture, education, disaster management and urban infrastructure, anchored by a structured implementation model and institutional capacity.
A key focus at the summit will be Odisha’s strategic collaboration with Sarvam, reflecting the State’s intent to build sovereign AI capabilities, enable population-scale Odia-language AI applications, and strengthen its position as an emerging AI hub with long-term ambitions in advanced AI infrastructure and compute.
The Pavilion will feature 10+ innovation startups and ecosystem entities, including a mix of applied AI startups, research organisations, technology partners and government-linked AI initiatives demonstrating Odisha’s expanding innovation pipeline and its approach to democratising access to AI technologies & resources.
The Government of Odisha will share a detailed announcement on 18 February 2026 during the Pavilion engagements, offering deeper visibility into showcased use-cases, ecosystem partnerships and future opportunities. Event: India AI Impact Summit 2026 Dates: 16-20 February 2026 Venue: Hall No. 5, First Floor, Bharat Mandapam, New Delhi
12, Feb 2026
Gartner Warns Misconfigured AI Could Shut Down National Critical Infrastructure by 2028
STAMFORD, Feb 12: Gartner, Inc., a leading business and technology insights company, today warned that misconfigured AI in cyber-physical systems (CPS) could trigger shutdowns of national critical infrastructure in a G20 country by 2028.
CPS includes operational technology (OT), industrial control systems (ICS), industrial automation systems, IIoT devices, robots, drones, and other AI-powered systems interacting with the physical world. Gartner highlights that even well-intentioned engineers, flawed updates, or minor configuration errors can result in large-scale service disruptions, posing risks to public safety and economic stability.
“The next major infrastructure failure may not come from hackers or natural disasters, but from AI misconfigurations,” said Wam Voster, VP Analyst at Gartner. “Implementing secure ‘kill-switches’ or override modes, accessible only to authorized operators, is essential to safeguard critical systems.”
Gartner notes that misconfigured AI can autonomously misinterpret sensor data or trigger unsafe actions, potentially impacting key services such as power grids, manufacturing plants, and transport networks. With AI models increasingly opaque, human intervention remains essential.
Gartner recommends key measures for mitigating AI-related risks in critical infrastructure:
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Safe Override Modes: Secure human-accessible controls to retain ultimate authority over autonomous systems.
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Digital Twins: Test configuration changes in virtual replicas before deployment.
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Real-Time Monitoring: Continuous observation and rollback mechanisms for AI updates, supported by national AI incident response teams.
Gartner clients can explore these insights in Predicts 2026: Emergent Critical Risks of AI in CPS Security, and learn infrastructure modernization strategies via the complimentary Modern Infrastructure: Built for Tomorrow’s Business Demands roadmap.
Gartner continues to provide independent AI research and guidance for C-level executives, helping organizations safely leverage AI to achieve mission-critical priorities.
12, Feb 2026
AION-Tech Solutions Strengthens Leadership with Appointment of Biju Mathews as President & CEO of AION-Tech Solutions
Hyderabad, Feb 12: AION-Tech Solutions Ltd. a publicly listed business intelligence and IT services company, today announced the appointment of Biju Mathews as President and Chief Executive Officer of AION-Tech Solutions. This appointment marks a strategic step toward accelerating organisational-led growth and strengthening long-term value creation.
Biju Mathews brings over 32 years of leadership experience across enterprise technology, analytics platforms, digital commerce, media, and EV mobility ecosystems. He has led organizations through growth inflection points, strategic resets, and business model transitions, building scalable, institution-driven enterprises. With a strong track record of stabilizing and scaling businesses operating under margin pressure and complex delivery environments, his expertise spans enterprise strategy, fundraising, partnerships, and operational transformation — including transitioning companies from services-led models to platform-driven, SaaS and analytics-based revenue streams, with a consistent focus on value creation, capital efficiency, and predictable financial performance.
Commenting on the appointment, Chanakya Bellam, Director, AION-Tech Solutions, said,
“AION-Tech is entering a pivotal phase of evolution as we sharpen our focus on platform-led growth and long-term value creation. Biju brings clarity of vision, operational maturity, and the leadership depth required to steer the organization through this next chapter. The Board looks forward to working closely with him as we continue to strengthen our strategic positioning and execution focus”
Prior to joining AION-Tech, Biju served as Chief Executive Officer of ETO Motors Pvt. Ltd., where he played a pivotal role in positioning the company as a pioneer in clean mobility solutions. Under his leadership, ETO strengthened EV deployment capabilities, expanded fleet operations, and forged strategic partnerships that enhanced operating efficiency and long-term viability in a capital-intensive ecosystem.
Sharing his perspective on joining the company, Biju Mathews, President & CEO, AION-Tech Solutions, said,
“Technology and data are increasingly central to how enterprises make decisions, drive resilience, and create measurable impact. AION-Tech has a strong foundation and significant opportunity to scale its analytics and platform-led capabilities. I look forward to working closely with our teams and stakeholders to strengthen execution discipline, enhance delivery predictability, deepen client relationships, and build sustainable long-term value.”
Before ETO Motors, Biju spent over eight years in the online e-commerce sector with Abhibus, where he served as Chief Operating Officer (COO) and Chief Strategy Officer (CSO). He led business development, sales, marketing, and operations, working closely with the Board and senior leadership to scale the platform, strengthen execution discipline, expand service offerings, and institutionalize performance frameworks that supported sustainable growth in a competitive digital marketplace.
Earlier in his career, he spent nearly two decades in leadership roles at the Indian Express Mumbai Group, where he served as Vice President and was responsible for business and financial management of operating units, organizational restructuring, revenue strategy, and operating model transformation. His experience across both asset-light digital platforms and infrastructure-linked operating businesses provides a balanced perspective on scaling innovation while managing operational complexity and risk.
Known for his comprehensive and practical management style, strong boardroom presence, and focus on accountability-driven cultures, Biju has consistently guided organizations from founder-dependent structures toward institutionally robust, process-driven enterprises. His appointment signals AION-Tech’s commitment to strengthening governance maturity, enhancing execution clarity, and accelerating its transition toward scalable, platform-driven growth.
With this appointment, AION-Tech Solutions reinforces its commitment to disciplined expansion, digital transformation, and sustainable value creation.
11, Feb 2026
ElevenLabs Launches Expressive Mode with Indian Language Support for Smarter Voice Agents
Feb 11: ElevenLabs, a global leader in AI-driven voice technology, today announced the launch of Expressive Mode for its Eleven Agents platform, bringing emotionally intelligent, real-time voice agents to enterprise customer interactions. The new mode enhances conversational AI with human-like timing, tone, and emotional awareness, enabling enterprises to create natural, context-sensitive voice experiences.
Expressive Mode integrates Eleven v3 Conversational, ElevenLabs’ most emotionally intelligent text-to-speech model optimized for live dialogue, with a new turn-taking system that ensures better-timed responses with fewer interruptions. This allows agents to pause, respond, or adjust tone just like human interlocutors, improving engagement and satisfaction in customer conversations.
A key feature of Expressive Mode is expanded multilingual support, covering over 70 global languages, including 11 Indian languages: Hindi, Bengali, Marathi, Telugu, Tamil, Kannada, Gujarati, Malayalam, Punjabi, Urdu, and Assamese. This empowers Indian enterprises to serve diverse audiences while maintaining clarity, consistency, and emotional nuance.
By leveraging real-time emotional signals from Scribe v2 Realtime, ElevenLabs’ transcription system, Expressive Mode enables agents to interpret cues from how something is said—not just what is said—allowing for empathetic and context-aware interactions in high-stakes scenarios across sectors like support, mobility, finance, and retail.
Karthik Rajaram, GM and Country Head, India at ElevenLabs, commented:
“In customer-facing conversations, how something is said often matters as much as what is said. Expressive Mode marks a shift from scripted voice automation to emotionally intelligent conversations across multiple Indian languages. This enables Indian enterprises to design voice-first experiences that feel natural, responsive, and deeply aligned with how India communicates, helping brands build trust and consistency at scale.”
Expressive Mode allows businesses to deploy voice agents that respond naturally, stay on-brand, and adapt to real customer emotion, with the reliability, integrations, and monitoring needed for operations from pilot deployments to global rollouts.
ElevenLabs’ technology is already powering Indian companies like Meesho, Cars24, Apna, 99acres, TVS Motors, Mahindra, PocketFM, and others in delivering conversational AI experiences and multilingual customer engagement.
11, Feb 2026
Care.fi Raises Funding to Scale AI-Driven Healthcare Revenue Cycle Management
Gurugram, Feb 11: Care.fi, a healthcare-focused fintech building an AI-powered revenue cycle management infrastructure for hospitals, has raised $8 million in a Series A round. The funding includes $5 million in equity led by July Ventures, with participation from Peak XV Partners, Accion Ventures, and Sadev Ventures, and $3 million in debt financing from Trifecta and Vivriti.
India’s healthcare system is entering a decade of scale. In FY25 alone, general and health insurers settled over 32.6 million health insurance claims, with payouts exceeding ₹94,000 crore. Alongside this, more than 36.9 crore Ayushman Bharat cards have been issued, dramatically expanding access to cashless care. As coverage widens across government and private schemes, hospitals are grappling with rising claim volumes, tighter compliance requirements, and increasing expectations for faster, more predictable settlement cycles.
Care.fi is building infrastructure for this new reality. Its AI-driven platform helps hospitals manage documentation, coding, claims processing, and collections at scale, while its NBFC arm provides working capital solutions that enable predictable cash flows. Today, Care.fi’s systems are deployed across Ayushman Bharat and multiple large government and private insurance programs, supporting hospitals as operational complexity continues to rise.
The newly raised capital will be used to expand operations into additional Indian cities, accelerate international expansion across the United States and the Middle East, and further invest in product development for its AI-powered healthcare operating system.
“This capital allows us to go deeper on our core mission: making healthcare revenue operations seamless and invisible for hospitals,” said Vikrant Agrawal, Co-founder of Care.fi. “Doctors and care teams should not be spending time navigating paperwork, approvals, or delayed payments. We are building an AI-first healthcare operating system that takes care of revenue end-to-end, so hospitals can focus on patient outcomes, and patients can experience care with confidence and dignity.”
The fundraise follows a period of sustained growth for Care.fi, marked by over 10% year-on-year growth in assets under management and expansion of its team to 250+ employees, strengthening support for hospital partners amid rising claim volumes and faster turnaround expectations. Recently, Care.fi has also acquired Aldun to make hospital discharge faster and less stressful for patients and their families, reducing waiting time after the final bill from hours to just 10 minutes. Together, they aim to scale from 10,000 to nearly 1 lakh discharges per month, helping patients return home sooner and ensuring a smoother end to the hospital journey.
“Healthcare delivery in India is scaling faster than the financial rails that support it,” said Sidak Singh, Co-founder of Care.fi. “When millions of claims move through fragmented systems, even small inefficiencies compound into real stress for hospitals and patients. We’re building Care.fi to be the underlying revenue infrastructure for insurance-led healthcare—one that brings speed, clarity, and trust to every discharge and every settlement. This capital lets us scale that infrastructure responsibly, in India and beyond.”
“At July Ventures, we back scalable, category-defining digital platforms,” said a spokesperson from July Ventures. “Carefi’s tech-led RCM platform tackles one of healthcare’s hardest problems, i.e. hospital cash-flow. By compressing billing cycles, improving collections, and unlocking working capital for providers, Carefi is building a future-proof digital infrastructure coupled with finance. The team’s depth, clarity of vision, and consistent execution further reinforced our conviction in backing them at this stage.”
Mohit Bhatnagar, Managing Director at Peak XV Partners, said,
“Getting discharged, with Insurance, from a large Indian hospital can be tedious and lengthy. Care.fi’s instant discharge solution demonstrates how innovation and trust come together to create world-class customer experiences.”
Care.fi’s long-term ambition is to become a global, end-to-end healthcare revenue cycle management platform, built from India for the world. By unifying documentation, claims, collections, and financing into a single intelligent system, the company aims to redefine how hospitals manage revenue while improving transparency and comfort for patients across insurance programs.
11, Feb 2026
Synopsys to Showcase AI-Driven Engineering Innovation at India AI Impact Summit 2026
Feb 11, New Delhi: Synopsys, Inc., the leader in silicon to systems design solutions, will exhibit at the India AI Impact Summit 2026 in Bharat Mandapam, New Delhi from February 16-20, 2026, showcasing engineering solutions that advance AI development and adoption through software-defined engineering.
As the first AI summit hosted in the Global South, The AI Impact Summit is a flagship platform bringing together government leaders, global CEOs, researchers, innovators, and industry experts to shape how artificial intelligence can drive inclusive growth, sustainable development, and strategic innovation across sectors.
Dr. Prith Banerjee, Senior Vice President of Innovation, Synopsys, will join a lineup of influential leaders speaking at the AI Impact Summit, including such as Sundar Pichai (CEO, Google & Alphabet), Jensen Huang (CEO, NVIDIA), Cristiano Amon (CEO, Qualcomm), Demis Hassabis (CEO, Google DeepMind), Shantanu Narayen (CEO, Adobe), Bill Gates (Chair, Gates Foundation), Alexandr Wang (Chief AI Officer, Meta), and Mukesh Ambani (Chairman & MD, Reliance Industries), among others.
Dr Banerjee’s talk will focus on “Use of AI/ML in Electronic Design Automation (EDA) and Engineering Simulation for Chips to Systems.”, exploring the transformative role of AI and machine learning across engineering workflows, including:
Re-engineering Engineering in the Age of AI, highlighting how AI-augmented design flows and simulation tools facilitate agile, resilient product development across industries.
The Rise of Digital Twins, focusing on how next-generation products evolve virtually first and how they also cut development risk and accelerate the time-to-value.
Innovating Complex Systems for Reduced Time to Market, empowering lower complexity, higher productivity, and a quicker path-to-market for semiconductor and systems innovation through multidomain workflows to enable tight software and hardware co-design.
Connect with Synopsys at AI Impact Summit
Watch Dr Banerjee’s talk on “Use of AI/ML in EDA & Engineering Simulation for Chips to Systems”: Senior Vice President of Innovation, Synopsys, will deliver a talk on the ‘Use of AI/ML in EDA & Engineering Simulation for Chips to Systems’ at the Summit.
Visit the booth: Synopsys will showcase AI-led simulation and digital engineering capabilities at a 400 sq. ft. interactive booth (3F.16) at hall 3 on the first floor in Bharat Mandapam, New Delhi. The booth will showcase AI-driven innovations spanning electronic design automation (EDA), IP, verification, and simulation. There will be a strong emphasis on real-world, cross-industry use cases across mobility, technology, manufacturing, and aerospace, showcasing how AI-led design and simulation are helping organizations address increasingly complex engineering challenges at scale.
Join us for a demo: The Synopsys booth will feature two dedicated demo stations:
AI-driven EDA and IP demo station: showcasing how Generative AI and agentic AI allow faster, smarter, and more autonomous design and verification workflows.
AI-powered simulation demo station: demonstrating how advanced AI techniques are augmenting accuracy, speed, and decision-making in complex engineering simulations across industries.
