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Apurva.ai Evolves Apurva LENS from an Organisational Product to a Platform for the Development Ecosystem

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Rohini and Nandan Nilekani-supported Apurva.ai evolves Apurva LENS from a knowledge workspace into a platform for cross-organisational learning and collaboration Apurva LENS is open for practitioners and organisations to explore and experience its capabilities firsthand

BENGALURU, India, Sept. 21, 2026 /PRNewswire/ — Apurva.ai, an AI-enabled public-good digital infrastructure working with over 50 global organisations, today announced a new platform model for Apurva LENS, extending it from a product that helps individual organisations work with their knowledge to a platform that enables knowledge to travel across the wider development ecosystem. Apurva LENS is already being used and tested by organisations addressing complex social challenges across the Global South and beyond.

Apurva.ai is a unit of C4EC Foundation, co-founded by Nilekani Philanthropies to support change leaders working to respond to complex social challenges with speed, at scale, and sustainably.

As social and development challenges grow in scale and complexity, no single organisation has all the knowledge or answers needed to respond effectively. There is a growing need for ways to bring together what different actors and communities know, make sense of it collectively, and respond at scale.

Apurva LENS, part of a suite of AI-enabled products, was designed to help actors across the development ecosystem, including funders, governments, NGOs and change leaders, make sense of knowledge that often remains siloed across research, evaluations, programme experience and conversations. At its core are the voices and lived experiences of communities, so that those closest to a problem can help shape what happens next. Today, Apurva LENS has helped surface more than half a million voices and perspectives from across the development ecosystem in the Global South.

The new platform model transforms Apurva LENS from an organisation-level product into a platform for cross-organisational learning and collaboration. Multiple actors across an ecosystem can now learn from knowledge made available by each other, while retaining control over what they keep private and what they choose to share. This allows learning generated in one part of an ecosystem to become useful elsewhere, without losing its context or ownership.

The shift reflects a larger premise behind Apurva LENS: as AI makes more knowledge available, the challenge is no longer simply accessing information but making sense of it. By bringing together research, evidence, and organisational learning with the voices and lived experiences of communities from the outset, Apurva LENS enables a more bottom-up approach where those closest to a problem help shape how it is understood and how solutions are designed. This approach is already being explored across different development contexts.

SELCO Foundation initially used Apurva LENS to bring together organisational knowledge spanning archival information, everyday conversations and sector-focused assets, enabling teams to query it, surface patterns and synthesise insights. The collaboration has since extended beyond SELCO Foundation through the Platform for Collective Wisdom (PCW), an initiative enabled by Apurva.ai. PCW brings together community voices, practitioner perspectives and institutional knowledge across the development sector, allowing knowledge that would otherwise remain siloed to be connected and built upon across the wider ecosystem.Resilience Action Network Africa (RANA) used Apurva LENS to organise, analyse and synthesise community dialogues and research across Kenya, Uganda, Sierra Leone and South Africa, spanning climate resilience, health, livelihoods, food systems, gender, governance and financing. The work helped surface themes across countries while reinforcing an important principle: AI-assisted analysis was most useful when combined with human contextual judgment grounded in local realities, political economy and systems dynamics.In Brazil, Museu da Pessoa, one of the world’s earliest virtual museums, has built an archive of 20,000 life stories and approximately 11,000 hours of recorded material, capturing experiences across generations, regions and communities. Using Apurva LENS, the team prototyped a subset of voices to explore experiences around longevity, surfacing patterns and differences across individual life stories. The work points to a larger opportunity: turning a vast archive into living, accessible knowledge, that enables insights rooted in local experience to travel across languages and geographies and inform understanding far beyond where those stories originated.Rare’s Fish Forever works with fishers, local leaders, governments, funders and NGOs across Central and South America, Africa and Asia-Pacific to restore coastal fisheries and enable communities to manage them sustainably. As the programme expanded, knowledge accumulated across reports, presentations, field notes, chats and informal conversations. Fish Forever brought in Apurva LENS to help organise this collective knowledge, enabling teams to connect what they know with what they are learning and how conditions are changing. Its longer-term ambition is a living knowledge ecosystem where new insights from communities can continually inform learning across the programme.

Aggrey Aluso, Executive Director, Resilience Action Network Africa (RANA), said, “Working across countries, communities and interconnected development challenges, we see firsthand how knowledge can remain fragmented across programmes, partners and contexts. Our work with Apurva LENS has shown the value of bringing community voices together with research and systems knowledge to see connections that would otherwise be difficult to surface. The opportunity of a platform approach is to take this further, enabling learning to travel across actors and ecosystems while retaining the local context that gives it meaning. AI can help make those connections, but human judgment remains essential to understanding and acting on them.”

Dr. Harish Hande, CEO, SELCO Foundation, said, “Some of the most valuable learning comes from communities and practitioners solving real problems every day, yet those experiences rarely travel far enough. When they can be connected across organisations and geographies, we can build on what has already been learned rather than repeatedly starting from scratch. Our work with Apurva.ai is about creating that possibility at scale, while ensuring that community knowledge and lived experience remain at the heart of how solutions are shaped.”

Nandan Nilekani, Co-Founder and Chairman, Infosys and Chairman of EkStep Foundation, said, “AI’s real opportunity is to make intelligence useful at scale, across varied societal contexts. India has shown how open infrastructure can enable ecosystems whose impact can extend far beyond its borders. Apurva.ai is bringing that thinking to knowledge – connecting research, organisational learning and community experience so that insights can travel across organisations and geographies. I hope more organisations will join us to explore what we can build together.”

Anand Rajan, Co-Founder and Mission Leader, Apurva.ai, said, “The development sector does not lack knowledge. It already exists across organisations, research, programmes and, importantly, within communities themselves. The challenge is turning all of this into understanding that people can act on. With Apurva LENS becoming a platform, we are moving from helping individual organisations make their knowledge work for them to asking what becomes possible when that knowledge can travel across an ecosystem. AI can help us make sense of this complexity at a scale that was not possible before. But judgment, context and action remain fundamentally human.”

Apurva LENS is open for practitioners and organisations to explore and experience its capabilities firsthand. The experience brings to life a question at the heart of Apurva.ai’s approach: What if communities were not simply the recipients of solutions, but helped shape them from the start?

About Apurva.ai

Apurva.ai is a public-good, sense-making infrastructure for systems change. Through its AI-powered suite of products, it enables change leaders and organisations to unlock the collective wisdom within their networks by connecting community voices and lived experiences with knowledge from across the wider ecosystem. With communities at the centre, Apurva.ai helps surface connections, build shared understanding and enable more contextually relevant action on complex social challenges. Its suite of products supports a continuous cycle of listening, learning and acting, helping ecosystems move from fragmented knowledge towards collective understanding and systemic change. Apurva.ai is a unit of C4EC Foundation

For more on Apurva.ai visit: https://apurva.ai/about-us/

 

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Yann LeCun, Bob Langer, Jens Nielsen and Fabian Theis Join Cellular Intelligence Scientific Advisory Board

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Turing Award Laureate, Moderna Co-Founder, BioInnovation Institute CEO and Helmholtz Munich Computational Health Director to Advise on Decoding the Logic that Governs How Cells Change and Carrying That Knowledge Into Medicine

BOSTON, Sept. 21, 2026 /PRNewswire/ — Cellular Intelligence, the AI company building a universal foundation model of cell signaling, today announced that Yann LeCun, Robert “Bob” Langer, Jens Nielsen and Fabian Theis have joined its Scientific Advisory Board. Langer joins the company’s Board of Directors as an observer.

Between them, the four hold a Turing Award, more than 1,500 patents, the founding of Moderna, the leadership of the Novo Nordisk Foundation’s BioInnovation Institute and Germany’s highest research honor. Their work and expertise tie directly to the key problems Cellular Intelligence was founded to solve: learning predictive models from complex systems, and turning that understanding into therapeutic applications.

“We are bringing together people who have changed what is possible in AI, biology and medicine to tackle a shared question: can we learn the rules that govern how cells change, and use that knowledge to help patients? Yann, Bob, Jens and Fabian bring the scientific imagination and rigor this challenge demands. Their perspectives will be invaluable as we connect predictive models to experiments and, ultimately, to therapeutic development,” said Micha Breakstone, Ph.D., Co-founder and Chief Executive Officer, Cellular Intelligence.

Yann LeCun received the 2018 ACM A.M. Turing Award for foundational work in deep learning, founded Meta’s Fundamental AI Research lab (FAIR) and served as the company’s Chief AI Scientist from 2013 to 2025. He is Executive Chairman of AMI Labs, the world-model company he co-founded, and Silver Professor at New York University. His research centers on AI systems that learn how the world works and predict what happens when they act on it.

“The models that interest me learn how the world works from data and predict what happens when we act on it. Living cells present an extraordinarily rich version of that challenge. What excites me about Cellular Intelligence is the combination of new methods for large-scale cellular data collection, new phenomenological and causal models of cellular dynamics trained from this data, and a team with the ambition to connect the two. The possibility of learning principles that transfer across biological contexts is especially compelling,” said Yann LeCun, Scientific Advisory Board member.

Robert “Bob” Langer is an Institute Professor at MIT, the institution’s highest faculty rank, and the most cited engineer in history. He holds more than 1,500 issued and pending patents, and as a co-founder of Moderna and some 40 other companies, he has received the National Medal of Science, the National Medal of Technology and Innovation and the Queen Elizabeth Prize for Engineering for work that turned drug delivery and tissue engineering into medicines that reach patients.

“I have been deeply impressed by the team Cellular Intelligence has brought together. What draws me to this company is the opportunity to connect a fundamental understanding of cell behavior with the practical work of developing medicines. If we can better predict how cells respond to an intervention, we can ask more precise questions, design better experiments and open new possibilities for patients. I am excited to help the team pursue that potential,” said Robert “Bob” Langer, Scientific Advisory Board member and Board Observer.

Jens Nielsen is Chief Executive Officer of the BioInnovation Institute, the Novo Nordisk Foundation’s DKK 3 billion-plus engine for founding and scaling life-science companies in Copenhagen, and Professor of Systems Biology at Chalmers University of Technology. Author of more than 900 scientific publications and founder of several biotech companies, he was knighted by Her Majesty Queen Margrethe II of Denmark in 2019 and is a member of the U.S. National Academies of Sciences and Engineering, the Royal Swedish Academy of Sciences and the Royal Danish Academy of Sciences and Letters.

“Understanding a cell means understanding how its many systems work together. Cellular Intelligence is bringing quantitative models and carefully designed experiments to that problem at an ambitious scale. I am excited by the opportunity to help turn that understanding into more predictable cell engineering and new therapeutic possibilities,” said Jens Nielsen, Scientific Advisory Board member.

Fabian Theis is Director of the Computational Health Center at Helmholtz Munich, Scientific Director of Helmholtz AI and Professor of Mathematical Modeling of Biological Systems at the Technical University of Munich. A co-founder of the Human Cell Atlas and a member of its Board of Directors, he received the 2023 Gottfried Wilhelm Leibniz Prize, Germany’s highest research honor, for machine-learning methods that predict how cells develop and respond to drugs, and is a member of the Leopoldina, the German National Academy of Sciences, and EMBO.

“Progress in modeling cells depends on the quality of the questions our data allow us to ask. What excites me about Cellular Intelligence is its ambition to build rich experimental data and predictive models together. That combination creates an opportunity to test how well models generalize across biological contexts and to learn systematically from where they fall short,” said Fabian Theis, Scientific Advisory Board member.

The appointments follow Arjun Raj’s arrival as Chief Scientific Officer and scientific co-founder, and the company’s acquisition of STEM-PD, an investigational Parkinson’s disease cell therapy with FDA Fast Track designation, from Novo Nordisk in May 2026. Manufacturing and clinical data from the program flow back into the company’s models. The company’s investors include Khosla Ventures, the Chan Zuckerberg Initiative and Novo Nordisk.

About Cellular Intelligence

Cellular Intelligence is a clinical-stage AI company building a universal foundation model of cell signaling to understand, predict and ultimately control cellular behavior. Based in Boston, the company runs experimental biology, machine learning and therapeutic development as a single program, with regenerative medicine at its core. Learn more at www.cellularintelligence.com.

STEM-PD is an investigational therapy. Its safety and efficacy have not been established.

Media contact: Media-Relations@CellularIntelligence.com 

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SOURCE Cellular Intelligence

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Huawei Releases an AIFW Technical White Paper to Facilitate Firewall Upgrade

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SHANGHAI, Sept. 21, 2026 /PRNewswire/ — On September 17 at HUAWEI CONNECT 2026, Huawei released the Huawei AIFW Technical White Paper during the session themed “Solidifying Network Security Foundations to Safeguard Industrial Intelligence Implementation.” The White Paper systematically presents the architectural concept and key technologies of next-generation AI firewalls (AIFW) tailored for the AI era. Richard Wu, President of the Security Product Domain of Huawei’s Data Communication Product Line, and Jeff Wang, President of Huawei Cyber Security & Privacy Dept, jointly attended the launch ceremony.

From Rule-Driven to Intent-Aware: Reshaping Security Defense Logic

As LLMs, AI agents, and compute clusters scale across industries, the cyber threat landscape is fundamentally shifting. Confronted with emerging risks like prompt injection, sensitive data leakage, and compute misuse, traditional rule-matching systems fall short due to delayed rule updates and limited semantic understanding.

According to the White Paper, AIFW integrates AI-native hardware, LLMs, and intelligence and security knowledge bases to shift defense focus from traffic protection to behavior governance. Leveraging full-spectrum awareness, semantic understanding, risk reasoning, and intent recognition, AIFW accurately pinpoints AI-specific risks such as DGA domains, prompt injection, and unauthorized content exfiltration. This marks a transition from rule-driven to intelligence-driven and from static policies to policy autonomy to protect AI computing centers, enterprise AI agents, and LLM operations.

AI-Native Hardware Foundation: Building Native Security Resilience with High Reliability

The White Paper details the AIFW’s native hardware architecture. Leveraging hardware-software synergy, performance across post-quantum cryptography, rule matching, and AI inference achieves order-of-magnitude improvements. Featuring 99.999% carrier-grade reliability, the product utilizes hardware decoupling, software isolation, and an engine-level root of trust to deliver robust survivability and rapid recovery. By preventing vulnerability exploitation and establishing native security immunity, it ensures uninterrupted core operations during extreme network attacks or failures.

Policy Autonomy and Intelligent Operations: Advancing Toward Human-Like Closed-Loop Defense

Addressing traditional security operation pain points—such as outdated rules, insufficient synergy, and complex management—AIFW achieves policy autonomy through unified security semantics and intelligent reasoning. The AIFW automatically identifies and remediates policy gaps and dynamically optimizes policies alongside service shifts. This establishes a human-like closed loop across awareness, decision-making, and response, significantly easing the operational burden on enterprises.

Moving forward, Huawei will continue collaborating with customers and partners to build an intelligent, efficient, autonomous, and trustworthy next-generation network security ecosystem.

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Willog Becomes First Korean Company Selected for Lloyd’s Lab Cohort 17, Gaining a Foothold in the Global Insurance Market

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Selected as 1 of just 10 companies out of 280 applicants worldwide, and the only Asian company in this cohortAt Lloyd’s, where the world’s insurance risk converges, alumni companies have generated more than $400 million in cumulative GWPWillog gains the opportunity to validate a diversified global revenue model spanning solution and data sales, insurance-linked commissions, and technology licensing fees

LONDON, Sept. 21, 2026 /PRNewswire/ — Willog, an AIoT-based supply chain intelligence company co-led by CEOs Bae Seong-hun and Yoon Ji-hyun, announced that it has become the first Korean company selected for Cohort 17 of Lloyd’s Lab, the global insurtech innovation program run by Lloyd’s of London.

Willog is also the only Asia-based company in this cohort. The selection stands as a major milestone towards an entry into the global insurance market as well as a formal endorsement of Willog’s business model by a leading marketplace.

Named a Top European Startup Hub by the FT: Lloyd’s Lab, Where the World’s Insurance Innovators Converge

Lloyd’s Lab is an insurtech accelerator program that Lloyd’s established in 2018, and the Financial Times has named it one of Europe’s top startup hubs.

The program supports participating companies by providing direct support and collaboration from Lloyd’s underwriters and brokers to prepare insurance products ready for market, while not taking any equity. Program alumni have raised more than $1.4 billion in funding combined and generated $426 million in gross written premium (GWP).

Willog’s Logistics AIoT Data Fills a Gap in the Global Insurance Market

Logistics data-driven insurance products already exist in the market, but most rely on data supplied by carriers or third parties. By connecting proprietary data collected in the field by its own AIoT devices directly to insurance risk assessment and pricing, Willog makes the source of the data itself the basis for trust.

Willog’s approach of applying real-time cargo condition data to underwriting was recognized as a practical solution to a problem the Lloyd’s market has long struggled with: the lack of data infrastructure specific to logistics cargo.

Solution Revenue, Data Sales, Insurance-Linked Commissions, Technology Fees: A Foothold for Diversifying Willog’s Global Revenue Model

Willog Vision, the company’s integrated supply chain solution spanning everything from data logging to claims compensation, records data across the entire logistics process in real time and detects anomalies instantly. Therefore, dramatically lowering loss ratios, while the collected data also allows for insurance claims to cover whatever losses still occur.

During the program, Willog intends to secure insurance partners and prepare to launch a dedicated insurance product optimized for logistics with AIoT data.

Yoon Ji-hyun, Co-CEO of Willog, said, “The essence of this selection is that Lloyd’s has recognized the possibility that data from the logistics field can be translated into the language of insurance underwriting. This will be the starting point of a journey in which Willog’s logistics data becomes real infrastructure that transforms the global insurance market.

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SOURCE Willog

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