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Laminar Wins Gold 2026 Edison Award for Physical AI that Powers the Self-Driving Factory

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Top honor recognizes Laminar’s innovation and transformation in the CPG manufacturing industry

BOSTON, April 22, 2026 /CNW/ — Laminar, a physical AI solution helping the world’s leading manufacturers run more productive and sustainable factories, announced that it received a Gold 2026 Edison Award in the Manufacturing & Logistics category. The award recognizes Laminar for enabling food and beverage manufacturers to unlock new levels of productivity and sustainability through innovation – running faster production lines while cutting water, chemicals, and downtime.

“Laminar is leading the way CPG manufacturers implement physical AI on the factory floor with first-of-their-kind self-driving processes,” said Annie Lu, Laminar Chief Executive Officer and Co-Founder. “Our patented spectral sensors and complete library of ML models enable a new, transformative approach to closed-loop automation, making the goal of the self-driving factory achievable today. We are honored the Edison Awards recognized our commitment to building a new category of technology and reshaping the future of manufacturing.”

Laminar’s physical AI transforms operations by enabling CPG manufacturers to transition from manual, timer-based operations to self-driving. Deployed across six continents for Coca-Cola, AB InBev, Danone, and Unilever, Laminar delivers measurable sustainability and profitability gains from the same investment. Laminar’s self-driving processes include:

Self-Driving Clean-in-PlaceSelf-Driving Product ChangeoverSelf-Driving Batch OptimizationSelf-Driving Quality ControlAnd more

The Edison Awards, established in 1987 and named in honor of inventor Thomas Edison, celebrates game-changing innovation across industries worldwide. Drawing a global community of innovators across 60+ countries, the Edison Awards elevate solutions that reimagine our future.

Recognition for Laminar’s Innovation

Headquartered at Greentown Labs in Somerville, MA – North America’s leading cleantech incubator – Laminar is a woman-founded startup backed by top-tier investors, including Greycroft, Construct Capital, 2048 Ventures, and Flybridge Capital.

Recognized for its innovation and impact, Laminar received AB InBev’s 2024 Cheers Award for outstanding startup partnership and was named Unilever’s 2023 Supplier Startup of the Year. Laminar’s solution is also deployed in World Economic Forum Lighthouse factories recognized for their leadership in cutting-edge technology.

About Laminar

Laminar’s physical AI helps the world’s leading manufacturers run self-driving factories with more sustainable, efficient operations. Our patented spectral sensors and complete library of ML models transform manual operations into self-driving processes that cut water, chemicals, and downtime in real-time. Deployed in factories across six continents and trusted by global leaders like AB InBev, Coca-Cola, and Unilever, Laminar is building a new category of physical AI that will power the future of process manufacturing. Learn more at runlaminar.com

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SOURCE Laminar

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BRAHMA AI Wins 2026 Technology & Engineering Emmy®

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Emmy Award recognises the foundational technology behind BRAHMA AI’s high-fidelity AI content platform

LONDON, Sept. 10, 2026 /PRNewswire/ — BRAHMA AI has been named a recipient of a 2026 Technology & Engineering Emmy® Award for AI-Based Face Replacement and Performance-Preserving Post-Production Transformation. The award recognises BRAHMA AI’s Neural Performance technology.

The award honours systems that change a performer’s appearance while preserving natural expression, movement, lighting and scene realism, maintaining continuity across a sequence and adapting to changes in pose, lighting and occlusion.

BRAHMA AI is recognised alongside Disney Research, Rising Sun Pictures and Digital Domain, and is the only AI-native company among the four recipients.

“This Emmy® recognises technology that has been proven where the bar is highest: feature films, television and live production, in front of performers, directors and global audiences,” said Jo Plaete, Chief Technology Officer of BRAHMA AI. “Human creativity amplified by AI, with the performer and the authenticity of the performance kept at the centre, is the foundation of everything we build at BRAHMA AI. Being recognised at this level confirms that approach is dependable enough for the most demanding work in the industry.”

Human facial performance is one of the hardest problems in generative media. Small losses in timing, gaze or expression change the performance. BRAHMA AI’s Neural Performance technology was built to hold those qualities fixed while enabling controlled changes of age, likeness and identity.

The technology was proven at feature-film scale on Robert Zemeckis’s Here. Younger versions of Tom Hanks and Robin Wright were visualised on set in near real time, and the system delivered approximately one hour of final 4K transformation for the finished film. It has since been used across feature films, television, live performance and multilingual content, most recently on Ramayana, where BRAHMA AI’s technology delivers performance-preserving English-language lip-sync for the film’s international release.

The core methods are protected by US Patent No. 12,322,018, ‘Latent Space Editing and Neural Animation to Generate Hyperreal Synthetic Faces.’ The same research now underpins ATMAN, BRAHMA AI’s digital-human technology, and the wider BRAHMA AI platform for creating, localising and governing enterprise audiovisual content.

The 2026 Technology & Engineering Emmy® Awards are presented by the National Academy of Television Arts & Sciences and will be held on 14 October 2026 at the Television Academy’s Saban Media Center in North Hollywood, California, in a joint ceremony with the Television Academy’s Engineering, Science & Technology Emmy® Awards. The official recipients are listed at televisionacademy.com.

About BRAHMA AI

BRAHMA AI is the AI-native operating system for enterprise content. It enables organisations to understand, organise, create, localise and govern audiovisual content at scale. 

Built on its Mind² philosophy, BRAHMA AI combines human creativity with machine intelligence to deliver high-fidelity content, faster workflows and trusted global distribution. Born in media, sports and entertainment, BRAHMA AI brings production-proven AI to organisations across entertainment, advertising, healthcare and financial services.

Visit www.brahma.io.

 

 

 

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Tata Elxsi Invests in KAVIA AI to Scale AI-Driven Software Engineering for Products and Enterprises

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BENGALURU, India, Sept. 10, 2026 /PRNewswire/ — Tata Elxsi, a global leader in design and technology services, today announced a strategic investment in KAVIA AI, a Silicon Valley-based enterprise AI platform company. The investment strengthens the collaboration between the two companies to help enterprises manage, modernise, and transform complex software environments at scale.

As a global leader in AI and GenAI-driven product and software engineering, Tata Elxsi enables enterprises to implement the AI Development Lifecycle (AIDLC), accelerating architecture design, brownfield refactoring, software development, quality assurance, deployment, continuous monitoring and debugging across the product and software lifecycle.

The collaboration brings together Tata Elxsi’s expertise in domain-led engineering with KAVIA AI’s knowledge graph and workflow intelligence platform. Over the past one year, the companies have worked together to deploy the platform for enterprise engineering use cases, addressing challenges around industry-specific product and software engineering, accelerated release cycles, quality, resilience, and cybersecurity readiness.

Manoj Raghavan, Chief Executive Officer and Managing Director, Tata Elxsi, said, “Through STEP.UP, Tata Elxsi’s startup engagement program for high-potential deep tech companies, we have worked closely with KAVIA AI and seen the strength of its technology firsthand. This investment reflects our shared vision for AI-driven software engineering.”

Across industries, distributed teams have been creating millions of lines of code over the years using multiple repositories and diverse technology stacks to evolve enterprise products and platforms. As organisations face this complex brownfield environment, critical knowledge often remains fragmented across code, documentation, systems, tools, and teams.

While most AI tools focus on accelerating coding, KAVIA AI enables enterprises to scale across the AIDLC by combining persistent knowledge, governed engineering artifacts, collaboration, traceability, and deployment through a single platform.

Labeeb Ismail, Founder and Chief Executive Officer, KAVIA AI, said, “We are delighted with this strategic investment by Tata Elxsi and the trust it has placed in us. KAVIA AI brings system assets for enterprises to establish AIDLC workflows, operating models, and the checks and balances needed to operationalise AI across the software lifecycle. Together with Tata Elxsi, we look forward to shaping the future of software delivery.”

Building on this foundation, Tata Elxsi and KAVIA AI are working together to harness the power of AI responsibly and help organisations transform their products and services.

About Tata Elxsi

Tata Elxsi is a global design and technology leader, driving innovation at the intersection of design, digital, and engineering. With 35+ years of experience across industries, the company delivers end-to-end solutions for automotive, media, healthcare, energy, smart manufacturing and communications—from embedded systems to cloud-native platforms.

Tata Elxsi combines domain-led consulting, full-stack development, and system integration with a portfolio of award-winning AI and GenAI platforms.

By combining AI-first thinking with full-stack product engineering, Tata Elxsi enables organisations to move from GenAI experimentation to scaled deployment—securely, efficiently, and with confidence.

For more information, visit www.tataelxsi.com.

About STEP.UP

STEP.UP is Tata Elxsi’s startup engagement program for deep tech startups, combining co-creation and joint go-to-market engagement with an innovation fund. The program supports founders with strategic investment, engineering and design expertise, and access to global markets. By bridging innovation and commercialization, STEP.UP helps accelerate the journey from breakthrough ideas to industry-scale impact.

For more information, visit https://www.tataelxsi.com/step.up.

About KAVIA AI

KAVIA AI is the enterprise software engineering platform for complex codebases. KAVIA connects teams through code understanding, workflow automation, artifact generation, reviewable code and validation across repositories and environments.

The platform supports Visual Studio Code, CLI and Git-based workflows and offers customer-controlled deployment options and flexible model choices.

Learn more at kavia.ai.

General inquiries: Submit a request through the KAVIA AI Contact Page.

 

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Tamar AI Unleashes Creativity with Glanze, a New AI Streaming Platform at 83rd Venice Film Festival

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VENICE, Italy, Sept. 10, 2026 /PRNewswire/ — Tamar AI, the Palo Alto-based AI-powered creative technology company behind TapNow, the world’s first AI-native Creative OS, today announced the launch of Glanze at the 83rd Venice Film Festival. As a streaming platform for original AI-native series, films, and explorable worlds, Glanze extends the TapNow ecosystem, creating a single connected path from creation to global audience.

Powered by TapNow and fed by its global IP incubation initiative 10,000 Parallel Universes, Glanze is a streaming platform built to redefine how stories are discovered, turning the exploration of original works into part of the entertainment experience. With Glanze now live, locally rooted AI-native series and films are brought to global audiences without the limits of traditional streaming platforms. Glanze opens with 40 titles available for preview, enabling creativity to travel without boundaries.

“Debuting Glanze at Venice, one of the world’s most prestigious film festivals and where the future of cinema is first seen, marks our ambition to establish AI as a creative and meaningful force in the global film industry. Glanze is not just a streaming platform but an integral part of the TapNow ecosystem, rooted in our belief that AI exists to amplify creation from idea to distribution,” said Klaus He, Co-founder of Tamar AI.

The Glanze launch was accompanied by a panel co-hosted by TapNow during the Venice Film Festival’s Venice Production Bridge on September 4. The “AI x Cinema: The 10,000 Parallel Universes Initiative” panel brought together AI filmmakers, industry leaders and film educators to explore AI’s creative and economic impact on filmmaking. The session closed with a technical presentation of “Primodia,” a flagship series from the 10,000 Parallel Universes initiative, to showcase TapNow’s Creative OS in action. On September 7, a curated screening of selected AI-native stories from the initiative offered a first look of the original worlds that Glanze is built to bring to global audiences.

Venice marks the beginning of a broader season of activity for Tamar AI, which will next bring its AI filmmaking community to Japan and Korea for Arena Peak Asia, its proprietary creator hackathon focused on cross-border AI storytelling, in October 16 – 19.

About Tamar AI
Tamar AI is a global AI-powered creative technology company headquartered in Palo Alto, California, built on the belief that AI should amplify the creator, not replace them. Its flagship product, TapNow, the world’s first AI-native Creative OS, powers an ecosystem spanning tools, community, talent development, production, education, and distribution, forming a continuous path from first idea to finished work, from creator community to global audience. Trusted by creators across 150+ countries and regions, Tamar AI supports creators at every stage of the creative lifecycle through AI Creation System, AI-native Creator ecosystem, and Glanze – the streaming platform for original AI-native IPs.

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SOURCE Tamar AI

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