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Protopia AI and Lambda Announce Partnership to Provide Roundtrip Inference Data Protection to Secure LLM Endpoints

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New Roundtrip Protection Solution Delivers Full Enterprise Data Confidentiality Without Sacrificing Performance or Cost Efficiency

AUSTIN, Texas and SAN JOSE, Calif., May 6, 2025 /PRNewswire/ — Protopia AI, a pioneer in privacy-preserving AI, today announced a strategic partnership with Lambda, the AI Developer Cloud, and a leader in high-performance AI infrastructure, to deliver the first and only solution that eliminates plaintext exposure throughout the AI inference lifecycle.

Protopia AI + Lambda keep prompts/responses fully private. No plaintext exposed across the AI inference lifecycle.

Protopia’s Roundtrip Protection is the only solution that ensures sensitive data is never visible outside the client’s trusted environment, from prompt input to LLM output, enabling enterprises to retain full ownership of both their prompts and responses, even when leveraging managed inference endpoints in multi-tenant environments.

Through this partnership, enterprises can now take advantage of Lambda’s market-leading AI inference platform, optimized for performance and cost efficiency, while maintaining full data confidentiality powered by Protopia’s proprietary Stained Glass Transform.

“Enterprise AI can’t succeed in production without unlocking the most relevant internal data to flow into the most cost-efficient and scalable inference, enabling models to generate the most trusted, accurate responses. Yet many projects stall at this point, caught between the promise of managed LLM endpoints and the risk of exposing sensitive information,” said Eiman Ebrahimi, Co-founder and CEO of Protopia AI. “Our partnership with Lambda marks a new chapter where privacy, performance, and scalability go hand-in-hand, and where Lambda’s top-tier price/performance inference infrastructure is accessible with data privacy preserved across the entire roundtrip, from client to cloud to client.”

Rethinking What it Takes to Retain Ownership of Your Data with Managed Inference

LLMs fundamentally cannot run on encrypted data. This reality creates an inherent security gap during inference that grows with LLM memory capabilities and agentic workflows. Even with industry-standard encryption protocols that secure data in transit and at rest, sensitive data becomes exposed on hosting compute infrastructure in plaintext the moment it reaches an inference endpoint.

This exposure creates significant risk: a single misconfigured container or bad user password on the target compute system can leave enterprise private data exposed to unauthorized users sometimes without even triggering security alerts.

With Roundtrip Protection + Lambda Cloud, enterprises no longer have to choose between price, performance, and privacy. Enterprises can now achieve all three and accelerate their time to value with LLMs.

“We’re excited to integrate Lambda’s high-performance LLM inference platform with Protopia’s roundtrip data protection to enable enterprises in regulated industries to operationalize advanced AI models securely,” said Maxx Garrison, Director of Product Management at Lambda. “This combined solution allows organizations to scale inference workloads efficiently, preserve data confidentiality end-to-end, and accelerate deployment of state-of-the-art models with confidence.”

Request Early Access

Organizations ready to secure their inference workflows and accelerate GenAI adoption can request early access to the Protopia + Lambda Roundtrip Protection solution today by signing up here.

About Protopia AI

Protopia AI is a pioneer in privacy-preserving AI, enabling enterprises to unlock the full potential of generative AI without compromising data confidentiality. The company’s patented Stained Glass Transform technology eliminates plaintext exposure during AI inference, ensuring that sensitive data remains protected even when using third-party models or infrastructure. Trusted by organizations in regulated industries such as financial services, healthcare, public sector, and higher-ed, Protopia AI helps teams accelerate secure AI adoption while maintaining control over their most valuable assets – their data. Learn more at www.protopia.ai.

About Lambda

Lambda was founded in 2012 by AI engineers with published research at the top machine learning conferences in the world. Our GPU cloud and on-prem hardware enables AI developers to easily, securely and affordably build, test and deploy AI products at scale. Lambda’s mission is to accelerate human progress with ubiquitous and affordable access to computation. One person, one GPU.

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Algorized and ZHAW School of Engineering Launch Research on Predicting Human Movement Around Collaborative Robots, funded by InnoSuisse

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A two-year program studies how sensor fusion enhances human presence detection and safe human-machine interaction.

ETOY, Switzerland, Oct. 20, 2026 /PRNewswire/ — Robots working beside people need a reliable estimate of human movement. Their controllers also need to know how far they can trust that estimate. Algorized and ZHAW Zurich University of Applied Sciences Institute of Signal Processing and Wireless Communications ISC have launched a two-year research program to study both questions. The collaboration is funded by InnoSuisse.

The program, “Real-Time Human Perception via Edge-AI Wireless Sensor Fusion for Collaborative Robotics”, runs from September 2026 for two years. It builds on earlier research by Algorized and ISC on ultra-wideband (UWB) radar.

The program aims to combine raw wireless and optical signals in one fusion layer between a robot’s sensors and its controller. Researchers aim to weight each input by confidence and produce a calibrated estimate of a person’s position and predicted path.

Algorized processes raw data with one foundation model to detect human presence and classify whether it is a human or an object. The program tests whether combining raw inputs in sensor fusion, before each sensor makes its own decision, creates a holistic layer for the human-aware machines.

Each sensor type adds different information. UWB radar and Wi-Fi sensing can help detect a person behind a shelf or a machine. Millimeter-wave radar holds its lock through dust, steam, glare and darkness. RGB and time-of-flight cameras add spatial and semantic detail. The program studies how these inputs work together.

The research has four goals. The first three are to sense people in approach to the robot, tell living from non-living objects, and track and predict each person’s path. The fourth is to send the robot controller a graded instruction: continue, slow down, or stop. The inference target is under 100 milliseconds on standard industrial edge hardware. Algorized’s planned safety functions cover presence detection, localization and tracking.

A model of this kind needs its own training data. That data must come from real facilities with people moving through them. Researchers who understand the physics must interpret it. The goal is a core model that transfers across sensor types, vendors and sites without retraining for each deployment.

“Machines enter the physical world,” said Natalya Lopareva, CEO and Founder of Algorized. “For robots to coexist with humans, they need to understand the people around them. We are exploring every sensor and every layer of compute to make shared spaces safe. That takes research, and we are doing it together with the ISC at the ZHAW School of Engineering.”

“The program brings ISC sensing research into real industrial sites. Researchers will combine radar, Wi-Fi, and optical signals to distinguish approaching people from other objects and then estimate the person’s position and movement. The program investigates how the reliability of this estimation can be measured and how to predict where a person will go next,” said Marc Kuhn, Deputy Head of ISC at the ZHAW School of Engineering.

About Algorized

Algorized builds the edge-native nervous system for Physical AI. Its foundation model senses human presence, vital signs, and intent through occlusion – delivering real-time human-aware perception from standard wireless sensors, where cameras and light-based systems go blind. Backed by the Amazon Industrial Innovation Fund and rooted in four years of Swiss sensing research, Algorized partners with silicon manufacturers and industrial OEMs across robotics, automotive, and smart spaces. Learn more at www.algorized.com.

About the ZHAW School of Engineering

The School of Engineering is one of eight schools of the ZHAW Zurich University of Applied Sciences. With 14 institutes and centres, the ZHAW School of Engineering is one of Switzerland’s leading institutions for technical education and research. It provides high-quality degree programmes and continuing education and develops innovative solutions for industry, focusing on the areas of energy, mobility, information and health.

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Yoodli Named 2026 Inc. Power Partner for Helping Enterprise Teams Build Skills That Show Up on the Job

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Recognition follows a year in which Yoodli customers including Google and Intuit earned 11 Brandon Hall Group awards for programs built on Yoodli

SEATTLE, Oct. 20, 2026 /PRNewswire/ — Yoodli, the AI Platform for Human Skills, has been named a winner of the 2026 Inc. Power Partner Awards, which recognize the B2B companies that entrepreneurs and businesses rely on to grow.

Inc. selected this year’s honorees for a proven track record of helping companies build and scale, across areas from hiring and compliance to technology, fundraising, and marketing.

“Business owners have no shortage of tools at their disposal, and B2B companies need to make clear why their products and services are worth the investment,” says Bonny Ghosh, editorial director at Inc. “The companies on this year’s Power Partners list have done just that. They don’t just have customers, they have superfans and evangelists. Across industries like marketing, financial services, and technology, they’ve proved their dedication to helping fellow business owners grow and succeed.”

“The best validation we get isn’t an award for Yoodli. It’s watching our customers’ teams get recognized for the work they do with us,” said Varun Puri, co-founder and CEO of Yoodli. “Organizations are under real pressure to get their people ready for an AI-first world, and practice alone doesn’t get them there. Our job is to help skills carry over into the moments that matter, and to show leaders the results.”

“Being a Power Partner means our customers’ results are the scoreboard,” said Mike Rich, head of partnerships at Yoodli. “We work alongside training firms, consultancies, and enablement leaders who build skills programs for their own clients. Together we create immersive training experiences and demonstrate measurable outcomes.”

“Every training company says their program works. The hard part is proving it,” said Jeff Bittner, senior director of digital and AI at Braintrust and a member of Yoodli’s Customer Advisory Board. “In two and a half years with Yoodli, we’ve mastered it. Every seller starts with a baseline and a personal record to beat, allowing us to coach the cause instead of the symptom. We’ve seen enterprise clients with hundreds of users adopt at 96%, and others increase their connection level from 22% to 67% in three months. That’s what a real partner does. We make our clients better by providing tools that move the needle.”

Yoodli was recognized for the measurable outcomes its customers have achieved in 2026. Google’s GBOedu Commercial Enablement team won seven awards at the 2026 Brandon Hall Group HCM Excellence Awards (three gold, three silver, one bronze) for scaling AI roleplay practice across its sellers with Yoodli. Intuit’s Global Sales Enablement team earned four Brandon Hall Group awards for programs powered by Yoodli, including gold in Learning & Development Strategy and in Leadership Development.

The company also reached several milestones this year. Yoodli was named to TIME’s Best Inventions of 2026 in the Education category and to LinkedIn’s 2026 Top Startups list for Seattle. It grew past 100 employees and moved into a new headquarters at Pier 70 on the Seattle waterfront. Organizations including Google, Snowflake, Databricks, and Intuit use Yoodli to coach, train, and measure skills across their workforce.

For more information on Inc.’s Power Partner Awards or to view the complete list of honorees, visit inc.com/power-partner-awards.

About Yoodli

Yoodli is the AI Platform for Human Skills. Through AI coaching, learning journey creation, roleplays, personas, and measurement, Yoodli helps people get measurably better in their careers and helps organizations upskill their workforce for an AI-first world. Proven in high-stakes revenue teams and built for company-wide scale, Yoodli is used by organizations including Google, Snowflake, Databricks, and Intuit. Learn more at yoodli.ai.

Media Contact:
Sage Quiamno
press@yoodli.ai
+1 (808) 232-1321

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RBC tops JD Power Retail Banking Satisfaction Study among Big Five banks for third consecutive year

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TORONTO, Oct. 20, 2026 /CNW/ — RBC is pleased to be named Highest in Customer Satisfaction Among the Big Five Retail Banks by JD Power for the third year in a row, and the fourth time in five years. The recognition stems from the JD Power 2026 Canada Retail Banking Satisfaction StudySM, which gathers feedback from thousands of retail banking customers nationwide.

“The trust clients place in us reveals itself in moments big and small, and this study captures that,” said Erica Nielsen, Group Head, Personal Banking, RBC. “We are grateful to our clients who continue to choose RBC, and this award belongs to the employees who show up for them with care and expertise.”

RBC earned an Overall Satisfaction score of 619, finishing nine points ahead of the Big Five average of 610 and holding the number one position among the Big Five across all seven dimensions measured in the study, including Digital Channels and Problem Resolution. The bank’s eight-point improvement outpaced the industry average gain. RBC stands out most in Level of Trust, Account Offerings meeting my needs, and Allowing me to bank how and when I want, where it holds significant leads over the average.

The study also points to continued momentum, with RBC building on its strengths in Digital Channels and Account Offerings, along with improvements in Online Chat, New Account Opening, Product/Fees, and Convenience.

“We keep the client at the centre of everything we do, and that focus is reflected in the areas where we are leading. Whether someone is opening an account online, chatting with us through our digital channels, or sitting down with an advisor, we look across every part of RBC to make sure each experience is built around them. I want to thank our teams across the country for making that commitment felt every day.”

The JD Power 2026 Canada Retail Banking Satisfaction Study drew on responses from 14,038 retail banking customers surveyed in two waves between January and February and between July and August 2026.

About RBC
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 105,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada’s biggest bank and one of the largest in the world, based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our more than 19 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com.‎

We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at rbc.com/peopleandplanet.

For more information, please contact:
Habiba Ahmad, RBC Communications, 437-993-3245

SOURCE RBC Royal Bank

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