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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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UK digital pathology provider Source BioScience chooses Sectra to enable seamless pathology collaboration across the NHS

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LINKÖPING, Sweden, Sept. 21, 2026 /PRNewswire/ — International medical imaging IT and cybersecurity company Sectra (STO: SECT B) has signed an agreement with Source BioScience UK Ltd (Source BioScience) in the UK to deliver its service for advanced share and collaborate workflows. As the first Sectra customer in this domain, Source BioScience will now be able to support NHS organisations that need to send pathology cases to external specialists. This lays the foundation for national telepathology networks in the UK, and for improved access to specialist pathologists.

The service, Sectra Image Exchange Portal (Sectra IEP), is a cloud-based, vendor-neutral platform for exchanging and collaborating around medical images. It is already used by more than 500 institutions, mainly within radiology. Recently, the service has undergone substantial modernisation which now makes it possible for healthcare providers to benefit from new advanced workflow functionality, for the service to be used by specialties other than radiology and for customers to move beyond image sharing to managing workflows between organisations.

“This milestone integration will give the NHS a seamless digital pathway to external specialists, with diagnoses delivered straight back into its own records – reducing turnaround times, easing consultant shortages and tackling reporting backlogs,” says Nick Bills, Healthcare Director at Source BioScience.

Source BioScience is a UK laboratory services provider specialising in histopathology and genomics. Its pathology business supports more than 85 NHS trusts alongside a network of private healthcare clinics, with histopathology delivered from laboratories in Nottingham, Chichester and Cambridge.

NHS pathology services are handling growing case volumes with a limited number of reporting consultants, and increasing subspecialisation means the pathologist best suited to a case is often at another organisation. Sending work to external capacity providers today typically relies on bespoke arrangements between individual laboratories, including the transportation of physical glass slides. This slows reporting times and creates administrative overhead for both the sending and receiving laboratories. With Sectra’s service, a case can be created as a job directly from a laboratory’s worklist, delegated to a receiving organisation, and the completed report returned to the referring organisation’s own records.

“IEP is the backbone of image sharing across the NHS. With our modernised platform, we are introducing advanced workflows between healthcare organisations, and extending that trusted national network into pathology. Connecting trusts directly with external specialists like Source BioScience means cases and completed reports move seamlessly across organisational boundaries. It is a step towards an NHS where expertise is always within reach, and where work moves between organisations as easily as it moves within them,” says Jane Rendall, Managing Director for Sectra UK and Ireland.

The three-year contract was signed in the second quarter of Sectra’s 2026/2027 fiscal year. Up to 60,000 cases are expected during the first year, scaling up in subsequent years.

Source BioScience Media Contact:
Klaudyna Johnstone, Commercial Director, klaudyna.johnstone@sourcebioscience.com 

CONTACT:

For further information, please contact: Dr. Torbjörn Kronander, CEO and President Sectra  AB, 46 (0) 705 23 52 27
Marie Ekström Trägårdh, Executive Vice President Sectra AB and President Sectra Imaging IT Solutions, 46 (0)708 23 56 10

This information was brought to you by Cision http://news.cision.com

https://news.cision.com/sectra/r/uk-digital-pathology-provider-source-bioscience-chooses-sectra-to-enable-seamless-pathology-collabor,c4398521

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askelie® opens its Operational AI Platform to customers and partners

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New platform makes proven AI capabilities available for MSPs, software vendors and business users to configure and compose

LONDON, Sept. 21, 2026 /PRNewswire/ — askelie® today announced the launch of its Operational AI Platform, opening the proven technology behind its enterprise AI solutions to MSPs, software vendors and business users.

The platform enables customers and partners to configure and compose AI-powered solutions using proven, reusable askelie capabilities. Rather than building an AI foundation from scratch, organisations can combine existing capabilities to address real business needs — providing a practical route from AI ambition to business value, with faster time to value, lower cost and less risk.

“We’ve spent years using askelie to rapidly deliver enterprise-grade AI solutions. What we’re doing now is opening that capability up,” said Derek Kilroe, CEO and Founder, askelie. “For the first time, MSPs, software vendors and business users can take proven AI capabilities and configure and compose their own solutions for real business operations — without having to build the underlying AI platform themselves.”

Built around Understand • Decide • Act • Control, the platform brings together AI intelligence, data, knowledge, workflows, enterprise integrations, security and governance.

At launch, customers and partners can configure and compose existing capabilities to create and adapt AI-powered Assistants and Automations around specific business needs. The platform provides the foundation for increasingly sophisticated AI applications, including Digital Workers and Autonomous Applications.

“Customers shouldn’t have to assemble an AI technology stack before they can solve a business problem,” said Ian Halliday-Pegg, Chief Product Officer, askelie. “askelie brings the capabilities needed for operational AI together in a platform that can be combined and reused for different needs.”

The platform is designed to be practical, affordable and trusted. Proven, reusable capabilities reduce the need to build enterprise AI from scratch; model choice and consumption-based pricing help control costs; and security, governance, human oversight and auditability are built into the platform.

The platform also enables MSPs to configure and reuse AI-powered services across customers, while software vendors can extend existing products, enhance them with external data and context, and configure new AI-powered capabilities.

The askelie Operational AI Platform is available from 21 September 2026.

For more information, visit www.askelie.io

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SOURCE AskELIE Limited

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Huawei Upgrades Stellar AI WAN Solution to Drive All Intelligence Across Industries

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SHANGHAI, Sept. 21, 2026 /PRNewswire/ — At HUAWEI CONNECT 2026, Huawei unveiled its upgraded Stellar AI WAN Solution. Centered on ultimate computing efficiency and multi-dimensional security, this solution addresses cross-region computing challenges in efficiency, cost, and security, driving all intelligence across industries in the AI era.

Stellar AI WAN for Intelligent Connectivity

Amid the rapid expansion of AI computing power, deploying new compute infrastructure in the West has made remote invocation the new norm. However, traditional networks face three critical issues relating to cross-region computing.

Severe efficiency loss: Invoking computing power across 1,000 km can incur a 37% efficiency loss from a mere 0.073% packet loss.High on-premise costs: Local compute deployment costs from 1 million RMB per branch.Expensive private lines: Enterprises spend around 1.2 million RMB annually on 10G private lines.

To address this, Leon Wang, President of Huawei’s Data Communication Product Line, introduced the Stellar AI WAN Solution, enabling lossless delivery of computing power over 1,000 km for a local-like remote computing experience. The XH computing-network appliance uses a unique layerwise model partitioning algorithm to run the initial and final layers of inference locally while offloading intermediate layers to remote infrastructure. With the network transmitting only high-dimensional vectors, raw data remains on-premises. The appliance requires just two xPUs to match a traditional 8-xPU setup, slashing xPU costs by 75%. The updated Starnet lossless algorithm cuts bandwidth idle time by over 80% and reduces required bandwidth fivefold, further lowering cross-region computing costs.

Stellar AI WAN for Security

As global security threats intensify, novel vectors like APTs and HNDL attacks continue to emerge. To address these, Huawei provides a three-layer defense for WANs.

Device layer: Intrinsic security boards detect and block intrusions in real time, tracing threats within minutes at over 95% accuracy.Link layer: Built-in QKD delivers robust quantum security without extra devices or fibers, slashing costs by over 60%. An adaptive noise suppression algorithm extends QKD transmission past 80 km.Network layer: APN6-based data fencing enables network-wide control over traffic paths, ensuring data travels exclusively within secure networks with intrinsic security and quantum encryption deployed.

Looking ahead, Huawei will continually upgrade the Stellar AI WAN Solution, deepening its computing-network synergy and multi-dimensional security. Together with partners, Huawei aims to reinforce the intelligent network foundation and accelerate all intelligence across enterprises.

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SOURCE Huawei

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