Designed to run on REMI, Robot.com’s fleet management and physical API layer, the concept robot will evolve into a production version through an expanded collaboration with FieldAI, whose general-purpose Field Foundation Models will serve as the robot’s autonomy brain.

SAN FRANCISCO, Aug. 11, 2026 /PRNewswire/ — Robot.com®, the company putting robots to work in the real world, today unveiled R-dog™, its new concept for a four-legged delivery robot built for two distinct and essential roles in robotics: completing the last 100 meters where wheeled robots cannot operate, and turning those same locations into interactive advertising. R-dog will run on REMI, Robot.com’s fleet management platform and the physical API layer that integrates, controls, and orchestrates every robot in the company’s fleet.

Every delivery eventually reaches the hard part: stairs, curbs, thresholds, uneven ground between a lobby and a door, and many other impediments. While wheeled robots stop there, R-dog was designed as a solution for those last few steps. Its four legs carry it up and down stairs, over curbs and thresholds, and across the mixed terrain where the final stretch of a delivery actually happens, including dense urban streets, residential neighborhoods, and campus settings such as universities, hospitals, and corporate or industrial sites.

The R-dog concept is built for real payloads, featuring a large onboard compartment that holds multiple items at once. For example, stacked food orders alongside standard e-commerce parcels, so the same robot handles food delivery and package delivery without a hardware change. When it arrives, unattended auto drop-off completes the handoff and sends the R-dog to its next assignment.

A Delivery Robot That Turns Advertising Into Something People Walk Toward
R-dog’s second application is interactive advertising through R-ads™, Robot.com’s unified, self-serve advertising suite. The same expressive, approachable design that draws people toward the robot also turns it into a moving, interactive out-of-home ad platform. Brands will be able to remotely upload and manage campaigns to the R-dog’s dual video screens, and let the robot’s personality do the work. People notice it, walk toward it, interact with it, and then notice the brand behind the experience. An impression that begins with a smile converts in ways that static signage cannot.

“A decade of building delivery robots has taught us that most robots hit a wall in the final 100 meters, leaving a person to finish the job by hand. R-dog is our answer to that,” said Felipe Chavez Cortes, CEO and Co-Founder of Robot.com. “And we’re equally proud of how we built it. REMI is the operating foundation that runs every robot we have. When we wanted to add a quadruped, we didn’t need to build a new operational system from the ground up. We built R-dog to run on what already exists, and that is what makes launching a new robot form factor possible at the pace we move.”

The Platform & Partner Backing the Bot
Every Robot.com robot is connected through REMI, the company’s physical API platform and fleet management layer that manages everything from teleoperation to performance and deployment. Work across every category, from delivery robots to humanoids and four-legged robots, contributes to shared intelligence that improves future tasks across the fleet. This foundation allows Robot.com to deploy new form factors without rebuilding from scratch.

As R-dog moves toward production, Robot.com is expanding its collaboration with FieldAI. Field Foundation Models (FFMs) serve as an operational AI layer that generalizes across robots and environments and serves three roles: enabling safe and reliable operations in dynamic, real-world spaces without prior information or supporting infrastructure; preventing model hallucinations through physics-grounded AI models; and coordinating multiple robots working together.

“Every delivery ends where Field Foundation Models are strongest, in the dynamic, unpredictable last 100 meters where the map runs out,” said Ali Agha, Founder and CEO of FieldAI. “Grounded in physics and uncertainty quantification, FFMs enable R-dog to adapt to those conditions in real time and operate with the safety, reliability, and interpretability required for real-world deployment.”

The Newest Robot in an Expanding Fleet
The R-dog concept joins an expanding portfolio that includes R-kiwi™ for campus delivery, R-cargo™ for industrial and warehouse logistics, R-noid™ for humanoid labor solutions, and R-ads across the fleet. More than 500 robots are currently deployed across the United States, Canada, Dubai, and MENA, having completed more than 2.5 million tasks to date. R-dog launches today as a concept, with commercial deployments in 2027.

To learn more about R-dog, visit www.robot.com/r-dog.

About Robot.com
Robot.com Holdings Inc., doing business as Robot.com®, is a pioneer in practical robotics solutions powered by advanced AI. The company operates a dual-engine business: Robotic Services, delivering Level 4 autonomous robots for campus delivery, warehouse logistics, and inspection; and Robot.com Media, a national OOH advertising platform powered by its mobile robot fleet. With more than 500 robots deployed across the United States, Canada, Dubai, and MENA, and completing over 2.5 million tasks, Robot.com operates at enterprise scale every day in real environments. Founded in 2017 and headquartered in San Francisco with offices in Colombia, Robot.com partners with enterprise operators, including Sodexo, to solve workforce and logistics challenges today. Robot.com is a founding member of Robots for America, a national coalition advancing the adoption of robotics and American industrial competitiveness.

Forward Looking Statements
This press release contains certain forward-looking statements within the meaning of the Private Securities Litigation Reform Act, as amended, including those relating to certain industry metrics, Company performance metrics and other statements that are predictive in nature. These statements relate to future events, future expectations, plans and prospects. These statements may be identified by the use of forward-looking expressions, including, but not limited to, “expect,” “anticipate,” “intend,” “plan,” “believe,” “estimate,” “potential,” “predict,” “project,” “should,” “would” and similar expressions and the negatives of those terms. Although the Company believes that the expectations reflected in such forward-looking statements are reasonable as of the date made, actual results or outcomes may prove to be materially different from the expectations expressed or implied by such forward-looking statements. Meaningful factors that could cause actual results to differ include, but are not limited to, whether we will have adequate financial resources to enable us to pursue our business successfully, given that we will likely need more financial resources than the additional resources.  These statements are only predictions and involve known and unknown risks, uncertainties, and other factors. The Company does not undertake any obligation to release publicly any revisions to forward-looking statements as a result of subsequent events or developments, except as required by law.

Media Contact:
robot@thekeypr.com

For Investors:
Matt Kreps
Darrow Associates
+1-214-597-8200
mkreps@darrowir.com

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SOURCE Robot.com

New Buyer’s Guide gives sales, enablement, and L&D leaders five checkpoints to clear before investing in an AI roleplay platform

SEATTLE, Aug. 11, 2026 /PRNewswire/ — Yoodli, the AI experiential learning platform used by enterprise teams to practice high-stakes conversations, today released “A Buyer’s Guide to AI Roleplay Platforms,” a vendor-neutral evaluation framework for enterprise leaders navigating an increasingly crowded market. The guide gives sales, enablement, revenue, and L&D leaders five checkpoints to clear before investing, so purchasing decisions are grounded in learning outcomes and behavior change rather than feature lists.

The AI roleplay category has expanded rapidly, with dozens of tools promising the same transformation. Buyers, however, have lacked a neutral framework for distinguishing a durable platform from software that ends up unused. Yoodli’s guide names the shift now underway in the category: from standalone roleplay point tools to a complete learning loop.

That loop — Learn, Practice, Do — anchors the guide’s structure:

Learn. An AI tutor teaches concepts interactively from a company’s real materials, including decks, PDFs, and documents.Practice. Lifelike AI simulations with real objections and multi-party dynamics let learners rehearse before it counts.Do. Recordings from live calls feed back into the platform, so training reflects what actually happens in the field.

“The category grew up fast, and buyers deserve a clear-eyed way to evaluate it. We wrote this guide the way we’d want to be sold to, start with the outcomes you need, then hold every vendor, including us, to that standard.”

The guide walks buyers through five checkpoints to pass before signing:

Reality and customization. Does the platform adapt to your sales motion and methodology, or do you adapt to it? Can your team own scoring, rubrics, and scenarios, and can it teach from your real content?Content creation and speed-to-enablement. How fast can teams build and update training when messaging changes, without a vendor services engagement?Integration and measurement. Does it connect to your enablement, analytics, and HR stack, and act as a system of record for communication skills?Versatility and growth. Does it stretch beyond one use case as needs expand across teams and regions?Continuous coaching. Does practice run continuously between live sessions, or stop at the workshop?

Each checkpoint includes the specific questions buyers should put to vendors during evaluations and demos, and the guide closes with a complete buyer’s checklist leaders can take directly into a vendor evaluation.

The release comes at a moment of momentum for Yoodli, which closed a $40M Series B in December 2025 and counts Google, Snowflake, RingCentral, Databricks, and Sandler among its enterprise customers.

“A Buyer’s Guide to AI Roleplay Platforms” is available now here.

About Yoodli
Yoodli is an AI-powered experiential learning platform that helps people practice and improve communication skills through personalized AI roleplays, adaptive coaching, and real-time feedback. Trusted by enterprises worldwide, Yoodli enables learners to build confidence, measure progress, and perform when it matters most. Learn more at yoodli.ai or visit us on LinkedIn.

Media Contact:
Sage Quiamno
press@yoodli.ai 
+18082321321

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SOURCE Yoodli

SAN FRANCISCO, Aug. 11, 2026 /PRNewswire/ —

The AI Trust and Security Consortium (AITSC) launches today, an independent, peer-governed standards initiative for enterprise AI. Founding members include Ulf Mattsson, founder of Protegrity; Lori Higham, President of Secure Cloud Provider Inc; and Maggie Amato, a CISO/BISO leader formerly of Salesforce and Dell.The cohort is capped at 50 security and technology leaders, who co-author reference architectures, control frameworks, and board-ready governance models. Members also share real incidents and vendor performance under strict confidentiality.CISOs, CIOs, CTOs, Chief Privacy Officers, and heads of GRC or security architecture accountable for AI governance can apply here. Reviewed on a rolling basis.

The AI Trust and Security Consortium (AITSC) opens applications today for its founding cohort of 50 enterprise security and technology leaders to define how AI gets deployed, governed, and trusted inside the world’s largest organizations.

“I said yes in about ten seconds,” said Maggie Amato, CISO/BISO Leader, Ex-Salesforce, Dell. “I am building AI governance in real time, with real deadlines, and the honest truth is that everyone is improvising. What I want is not another framework document. I want to know what actually broke at a company my size, what caught it, and what it cost. That kind of candor only happens in a small room with people who trust each other, and that is exactly what this consortium is set up to be.”

This is an independent, practitioner-led standards initiative. It brings together cross-industry security and IT leaders to build the AI guardrails that regulators are now demanding and no existing framework supplies.

The rules for AI in the enterprise are being written right now. The only real question is who writes them: the people who have to defend these systems, or everyone else.

This consortium exists to make sure it’s the former.

“Security leaders are being asked to underwrite the biggest technology bet of their careers with tools and frameworks that predate the technology,” said Balaji Ganesan, CEO, Trust3 AI. “Nobody solves that alone. This independent consortium was built to ensure the people carrying the risk are the ones setting the standard.”

The Problem Nobody Has Solved Yet

Every enterprise CISO and CIO is living the same contradiction: the board wants AI everywhere by next quarter; engineering already shipped it; legal wants a framework that doesn’t exist; and regulators are drafting rules that will land before anyone is ready.

Yet – there is no real standardized playbook. McKinsey’s 2026 AI Trust Maturity Survey found only about one-third of organizations reporting mature AI governance. 48% of organizations now name security concerns the top barrier to AI adoption, up from 17% in 2024, according to the Linux Foundation.

Agents now hold credentials and take actions. Models leak data in ways no DLP tool was built to catch. Third party AI shows up inside your stack without a procurement ticket. Prompt injection turns a helpful assistant into an insider threat. The frameworks security leaders inherited were written for software that didn’t reason, didn’t act, and didn’t change its own behavior between Tuesday and Thursday.

Organizations cannot afford to wait for a standards body or marketing white paper to catch up. They must build the answers alongside other practitioners facing the same day-to-day challenges.

Benefits of Becoming a AITSC Member

This peer-to-peer working group empowers members with:

Category-shaping standards they help write. AITSC publishes reference architectures, control frameworks, and board-ready governance models under members’ collective authorship.

Confidential intelligence-sharing. Real incidents, real near-misses, real vendor performance, shared under a strict confidentiality agreement. What broke, what caught it, what it cost.

Accelerated discovery. Fifty vetted peers who have already solved what you’re staring at. One conversation saves a quarter of discovery work. Members set working group priorities, so your problems get solved first.

Market standing. Founding members carry permanent recognition, publish under the consortium banner, and speak on AITSC panels to define AI security governance rather than reacting to it.

“I have spent my career watching data protection standards get written after the damage, not before it,” said Ulf Mattsson, Founder of Protegrity. “Tokenization, encryption, privacy regulation: in every case the practitioners understood the problem years before the frameworks caught up. AI is the same story moving faster. I joined this consortium because the people accountable for defending these systems should be the ones writing the controls, and because that work is far better done in a room of peers than alone.”

Who We’re Looking For

The consortium is actively seeking candidates who are:

CISOs, CIOs, CTOs, Chief Privacy Officers, or heads of GRC and security architectureAccountable for AI governance, AI risk, or AI enablement at real scaleOperating in regulated or high-stakes environments, including financial services, healthcare, pharma, energy, public sector, technology, and retailCommitted to transparent peer-to-peer collaboration and proactively building the standard, rather than waiting for it

Founding members receive lifetime founding status, permanent recognition in all consortium publications, and a direct hand in setting the consortium’s charter and agenda. Later cohorts join a consortium that founding members designed.

Interested leaders can apply at: https://trust3ai.typeform.com/to/Lm9bliFZ

Applications are reviewed on a rolling basis.

“Our board isn’t asking whether we should embrace AI; they’re asking how we govern it responsibly while creating measurable business value. Security, compliance, and governance cannot be afterthoughts or obstacles to innovation; they must provide the confidence to move faster. That’s why I’m participating in this consortium: to help establish practical, peer-validated approaches that enable organizations to harness AI, govern data effectively, and make risk-informed decisions with confidence.” Lori Higham, President of Secure Cloud Provider Inc

About Trust3 AI

Trust3 AI is the security control plane for enterprise AI and agents. Founded by Balaji Ganesan, Don Bosco Durai, and Neeraj Sabharwal, the company delivers AI-powered Agent Security through its One Control Plane architecture, powered by a Unified Trust Layer built on AI-native metadata and context. The platform enables enterprises to discover every agent, observe every decision, and secure every action across any framework, cloud, and data source. Trust3 AI is a member of the NVIDIA Inception program and the Snowflake Startup Accelerator. Learn more at trust3.ai or request a demo at trust3.ai/demo.

Media Contact 

Angela Chen

angela@trust3.ai

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