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Codoxo Creates New “Point Zero” Category in Payment Integrity: Pre-Claim Provider Education Reduces Abrasion While Saving Payers $12-16 PMPY

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Codoxo’s Point Zero approach creates an entirely new space in payment integrity—before claims are ever created, before unnecessary costs are incurred, before providers experience delayed payments.

ATLANTA, May 20, 2025 /PRNewswire/ — Codoxo, the trusted provider of AI-driven healthcare cost containment and payment integrity solutions, today announced the official launch of Point Zero Payment Integrity—a breakthrough strategic model that enables proactive intervention at the earliest possible stage in the healthcare payment lifecycle – pre-claim creation. By engaging providers before a claim is even created, Point Zero shifts the paradigm from traditional “prepay and postpay” focus to a new standard: prevent-and-partner.

This novel approach addresses core pain points that have long plagued healthcare payers and providers – namely, the administrative burden and costs associated with denied claims, reconsiderations, appeals, and resubmissions. These inefficiencies contribute to provider burnout and strain payer-provider relationships. Industry data* reveals that large healthcare payers incur an average of $250 per denied claim. With up to 13% of claims denied annually, the resulting financial toll ranges from $2.6 billion to $13 billion per year for a typical large payer*. These inefficiencies translate into significant burdens for patients, payers, and providers alike—resulting in higher premiums, claim denials, and provider abrasion.

“Point Zero Payment Integrity is a movement—we’ve created an entirely new space for payment integrity programs to intervene at point zero—before claims are created,” said Musheer Ahmed, PhD, CEO and Founder of Codoxo. “Typically, healthcare payers manage claims in prepay or postpay. Point Zero Payment Integrity shifts this much earlier in the process—before a claim is created. By engaging providers at this earliest point while leveraging benchmark data from our platform, we’re not just reducing errors and costs, we’re enabling healthcare payers and providers to work in partnership, leading to fewer claim denials and appeals, faster payments, less administrative costs and significantly more savings.”

How Point Zero Payment Integrity Works

Codoxo’s advanced generative AI empowers providers with real-time guidance and insights at the “Point Zero”—the critical yet previously overlooked moment before claims are even created. Key solutions include:

Concept Ideation & Policy Development – A no-code generative AI interface helps teams rapidly identify payment gaps, ideate payment integrity concepts, and create reimbursement policies to contain costs.Pre-Claim Policy Education – Targeted, personalized communication and education surrounding upcoming policy changes, helping providers sift through the noise of policy updates to focus on those that will impact them the most, while giving providers time to adjust coding practices before policies go live.Pre-Claim Provider Coding Accuracy Education – AI-driven identification and detection of inaccurate coding that feeds automated provider education programs through preferred channels, enabling both providers and payers to avoid costly and abrasive downstream payment integrity activities.

Pre-Claim education helps address previously overlooked payment gaps that could not be targeted through traditional approaches due to resource limitations and the risk of provider abrasion. These capabilities are seamlessly integrated with Codoxo’s existing prepay and postpay solutions—including data mining, fraud detection, medical record reviews, provider contract compliance, and audit and case management—within a single unified platform.

Proven Results from Codoxo’s Point Zero Solutions

Health plans using Codoxo’s Point Zero model have reported:

$12-16 Per Member Per Year (PMPY) in savings through provider educationUp to 40% reduction in overpayments20–30x efficiency gains for Payment Integrity, Provider Network, Clinical, and Special Investigation Units (SIU) teams

“Point Zero Payment Integrity rethinks how payment integrity should work,” said Dr. Ahmed. “This new model shifts the traditional prepay and postpay approaches much further upstream. By doing so, we’re not just preventing overpayments, we’re reducing administrative burden and rebuilding trust between payers and providers. It’s a smarter, more collaborative approach to cost containment that paves the way for a more sustainable healthcare system.”

To learn more about Codoxo’s Point Zero Payment Integrity solutions, visit: https://pointzeropaymentintegrity.codoxo.com.

*Becker’s Hospital Review; MGMA Stat Report; AMA Payer Report Cards, CAQH Index, Change Healthcare Denials Index 2020

About Codoxo 
With a mission to make healthcare more affordable and effective for everyone, Codoxo is the leading provider of generative AI and advanced artificial intelligence-driven solutions that empower healthcare payers to proactively identify and resolve payment integrity issues at the earliest stages of the claim lifecycle—ranging from pre-claim to prepay and postpay. The Codoxo Unified Cost Containment Platform leverages generative AI to help payers drive savings through provider education, data mining, medical record reviews, fraud detection, medical policy and provider contract compliance, concept ideation, and audit and case management. Our software-as-a-service applications are built on our proven Forensic AI Engine, which uses patented AI-based technology to identify payment issues far faster and earlier than traditional techniques. Codoxo is a Fierce Healthcare Innovation Award winner and has been recognized by the Inc. 5000 list for growth. Our solutions are HIPAA-compliant and operate in a HITRUST-certified environment. For additional information, visit www.codoxo.com.

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SOURCE Codoxo

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ACEC California Awards More Than $100,000 in Scholarships to Engineering and Land Surveying Students

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SACRAMENTO, Calif., May 4, 2026 /PRNewswire/ — The American Council of Engineering Companies of California (ACEC California) has announced the recipients of its 2026 Scholarship Program, awarding a total of $102,500 to 14 students, including six graduate students and eight undergraduates, pursuing degrees in engineering and land surveying at colleges and universities throughout California.

Administered by the ACEC California Scholarship Foundation, the annual program supports accomplished undergraduate and graduate students preparing for careers in engineering and land surveying. In addition to scholarships awarded by ACEC California, students may also receive accompanying funds through the ACEC national organization and local ACEC California chapters.

“I commend the American Council of Engineering Companies of California for its investment in students that helps strengthen California’s infrastructure and engineering workforce,” said Senator Dave Cortese (D-San Jose). “These scholarships expand access to the education and training needed for students to pursue meaningful careers in engineering and land surveying related fields. California’s future depends on a strong pipeline of skilled professionals, and programs like this ensure our communities will benefit from their expertise for decades to come. I commend San Jose State University student, and Senate District 15 resident, Thao Huynh, along with all recipients of this prestigious scholarship program.”

The 2026 scholarship recipients reflect a strong combination of academic achievement and real‑world experience, pairing rigorous coursework with internships, professional employment, applied research and leadership roles in student and industry organizations. The group also represents the diverse pathways into today’s engineering and land surveying professions, including first‑generation college students, veterans, and professionals returning to school to advance their careers.

“ACEC California is honored to recognize these exceptional students who represent the future of our industry,” said Tyler Munzing, executive director of ACEC California. “As our state continues to prioritize the modernization of our critical infrastructure, investing in the next generation of engineers and land surveyors has never been more vital. We are proud to support these dedicated individuals as they prepare to lead California toward a more innovative and efficient future.”

More than 150 applications were reviewed by the ACEC California Scholarship Foundation’s volunteer Board of Trustees, chaired by Chris Diaz of Diaz•Yourman & Associates. Trustees include Donald Blackburn of Blackburn Consulting; Jeff Gavazza of KPFF Consulting Engineers; Michael Jaeger of Tanner Pacific; Henry Liang of MKN, an Ardurra Company; Jane Rozga of GHD; and Aundrea Tirapelle of Psomas.

Scholarship funds will be distributed to recipients at the beginning of the fall 2026 semester.

2026-27 Scholarship Foundation Award Recipients

Todd Allen-Gifford, Stanford University, pursuing a master’s in structural engineering and construction engineering.Owen Daulton, Loyola Marymount University, pursuing a master’s in mechanical engineering.Thao Huynh, San Jose State University, pursuing a bachelor’s in software engineering.Caden Kakoschke, California State University, Long Beach, pursuing a bachelor’s in mechanical engineering and naval architecture and marine engineering.Gaurav Kumar, University of California, Los Angeles, pursuing a bachelor’s in computer engineering.Grace Murphy, California Polytechnic State University, San Luis Obispo, pursuing a bachelor’s in mechanical engineering.Carlos Navea, San Diego State University, pursuing a master’s in civil engineering and structural engineering.Ryan Nguyen, California Polytechnic State University, Pomona, pursuing a master’s in civil engineering.Jacey Niiya, Stanford University, pursuing a master’s in structural engineering.Peter Otoshi, California Polytechnic State University, Pomona, pursuing a bachelor’s in civil engineering.Emily Petersen, California State University, Fresno, pursuing a bachelor’s in surveying and geomatics engineering technology.Paisley Tabor, Stanford University, pursuing a bachelor’s in mechanical engineering.Victor Vega, University of the Pacific, pursuing a bachelor’s in civil engineering and structural engineering.Zenia Zipp, California State University, Fresno, pursuing a master’s in civil engineering and surveying and geomatics engineering.

Learn more about the ACEC California Scholarship Foundation program and the awarded students at www.acec-ca.org/scholarship.

ACEC California represents over 1,000 engineering and land surveying firm offices and nearly 25,000 professionals who are involved in all aspects of the design, construction, and repair of California’s residential, commercial, industrial, and public works infrastructure.

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SOURCE American Council of Engineering Companies, California

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HDT Conducts Hunter WOLF Training with 10th Mountain Division

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Second training event in one month highlights continued Army engagement, evaluation

FREDERICKSBURG, Va., May 4, 2026 /PRNewswire/ — HDT Robotics is conducting a new round of training and evaluation activities with Hunter WOLF unmanned ground vehicles (UGVs) at Fort Polk, Louisiana, with soldiers from the U.S. Army’s 10th Mountain Division.

The Hunter WOLF is a robotic multi-mission unmanned ground vehicle designed to reduce workload, extend operational duration, and keep soldiers in the field longer, with less fatigue and at safer distances. Built specifically for military operations, it delivers mobility, payload, and power in a compact system, engineered to perform in demanding environments where commercial vehicles fail.  

“The Hunter WOLF is a proven platform that’s ready to support operations today. It’s not a concept still in development like other options,” said Tom Van Doren, President, Robotics Sector at HDT Robotics. “Training directly with units like the 10th Mountain Division ensures the system continues to meet operational requirements and provides a dependable solution the military can confidently deploy.”

The training event will provide hands-on experience for soldiers in one of the Army’s elite light infantry units, known for rapid deployment and operations in complex, extreme environments, including mountainous and cold-weather conditions. During the event, soldiers will operate and evaluate the Hunter WOLF in real-world scenarios, gaining experience in system operation, mission integration, and sustainment across a range of mission tasks.

“Training events like this show how adaptable the Hunter WOLF’s modular design is across different mission requirements,” said John Conway, VP of Business Development, Robotics at HDT Robotics. “Soldiers are able to configure it quickly and apply it to operational tasks without adding complexity.”

During training, soldiers will operate Hunter WOLF vehicles configured for communications, sustainment, support, and employment of equipment normally too heavy for dismounted units to transport, such as loitering munitions. These configurations include:

Two Vehicle-mounted Tactical Radios (AN/VRC-158)Five Universal Battery Chargers (UBC)60-gallon Water Purification SystemsCasualty Evacuation (CASEVAC)15kW Mobile Power Export (120/240VAC inverter offload)Extended Cargo Rails for Equipment Transport

The training marks the second Hunter WOLF event conducted with the Army in the past month, reinforcing HDT’s commitment to delivering proven, field-ready robotic platforms that enhance operations while prioritizing soldier safety.

About HDT Robotics: HDT develops rugged, modular robotic systems to perform tasks in hazardous and demanding environments. Building on a legacy of advanced government and industrial robotics development, the company engineers precision manipulators and mobile platforms that reduce personnel risk while enabling critical operations in expeditionary, contaminated, or unsafe environments. For more information, visit HDTHunterWOLF.com.

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SOURCE HDT Robotics

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Roomba Pioneer Colin Angle Unveils New Venture, Familiar Machines & Magic, Introducing a New Platform for Consumer Physical AI

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After building iRobot into a multi-billion-dollar business and architecting the global consumer robotics industry, Angle launches a new company to build emotionally intelligent robots designed for trust, interaction, and long-term connection.

BOSTON, May 4, 2026 /PRNewswire/ — More than two decades after introducing the Roomba and helping define consumer robotics, Colin Angle is returning with a more ambitious vision: Artificial Life. On stage today at The Wall Street Journal’s Future of Everything conference, Angle unveiled Familiar Machines & Magic, bringing the company out of stealth and introducing Familiars – physically embodied AI systems designed to perceive, adapt, and interact with people in ways that feel natural and consistent.

“The next era of robotics is not just about dexterity or humanoid form – it’s about machines that can build and sustain human connection,” said Colin Angle, cofounder and CEO of Familiar Machines & Magic. “Today, we’re emerging from stealth to share our vision for systems that move beyond task execution and become a natural part of daily life.”

FM&M uses the term “Familiars” to describe emotionally intelligent, physically embodied AI systems that perceive their environment, develop a distinct personality, and respond in ways that learn and evolve through life with the people around them.

Physical AI’s Next Frontier: From Capability to Human Connection
The global race to build Physical AI is on. From humanoid robots promising factory labor to autonomous systems reshaping logistics, tens of billions of dollars are flowing into machines designed to move, lift, sort, and transport. But this is only half the opportunity – the back-end, industrial physical AI opportunity. The other half is consumer-facing, for all of the use cases where robots will interact with humans, and it requires a fundamentally different approach.

Consumer Physical AI demands human connection – the ability to not just perform physical tasks, but to understand, communicate, and respond in ways that feel intuitive and supportive. This opportunity extends across daily life – anywhere people and machines intersect – not just within the home.

Consumer Physical AI outperforms screens in these types of emotional work because people respond more strongly to physical presence. While chatbots are widely used for emotional support, they are often less effective and beneficial for their users.

FM&M is focused on developing Consumer Physical AI systems that deliver this kind of interaction at scale by building Familiars.

The company’s leadership team has already brought consumer robotics to global scale. As leaders behind the Roomba platform at iRobot, they deployed more than fifty million robots into homes worldwide, turning a once-experimental category into a household technology. FM&M also brings together talent from Disney Research, MIT, Amazon, Boston Dynamics, Bose, and Sonos, applying deep experience in robotics, AI, and human-machine interaction to this next frontier.

Bringing Familiars to Life: Meet the First Familiar
During a live conversation with Wall Street Journal Technology columnist Christopher Mims at Future of Everything, Angle introduced the first Familiar – the inaugural system powered by FM&M’s Consumer Physical AI platform.

“iRobot proved that robots could deliver value at scale,” Angle said. “But they were still task machines. My goal has always been to create systems that understand context, remember interactions, and behave with consistency over time. That’s what we’re doing at Familiar Machines & Magic.”

A Familiar is purpose-built for social interaction rather than industrial performance. Its hardware and AI architecture are optimized for expressive, whole-body movement that communicates attention, awareness, and intent without relying on a screen.

The first Familiar is a quadruped, specifically designed for human-robot interaction, with 23 degrees of freedom enabling both lifelike movement and expressive behaviors. The Familiar is covered with a custom touch-sensitive coat, a vision system, and a microphone array and audio system, to support rich interactions. Its onboard edge AI stack is powered by a custom small multimodal model optimized for social reasoning, combining vision, audio, language, and memory to create socially responsive behaviors in real time.

Unlike humanoid robots designed to replicate human form for industrial uses, the Familiar is intentionally designed to be approachable and expressive, with a form factor optimized for interaction in everyday environments. It integrates context, memory, and adaptive behavior to create a consistent presence over time. Familiars are optimized for interaction, for presence, and for everyday use.

Today’s reveal marks FM&M’s emergence from stealth, not a commercial product launch. Specific applications, form factors, and timelines will be shared in future updates.

The Path Forward: The First to Scale Physical AI
The Consumer Physical AI market will not be won by the most impressive demo – but by the system people choose to live with. Familiar Machines & Magic is building a Physical AI platform focused on real-world deployment, measurable value, and responsible scaling.

Unlike cloud-dependent AI systems that rely on continuous data streaming, FM&M’s architecture prioritizes on-device, edge AI to reduce latency and strengthen privacy. The company has also established clear data governance guardrails as it develops systems designed for daily life.

By focusing on systems that can scale broadly, FM&M is building a platform that improves through real-world use rather than speculative demonstrations.

Follow the Journey
Familiar Machines & Magic will share updates, research, and progress as it develops its Familiars platform; this is just the beginning. If you’re curious what life with a Familiar could look like, sign up at familiarmachines.com or follow FM&M on LinkedIn and X.

About Familiar Machines & Magic
Familiar Machines & Magic is pioneering Consumer Physical AI, beginning with Familiars – physically embodied AI systems designed to form long-term, emotionally intelligent relationships with people. The company’s mission is to create artificial life to build a more caring world.

Founded by Colin Angle, cofounder and former CEO of iRobot, FM&M builds on more than three decades of consumer robotics experience. Angle is joined by cofounders Ira Renfrew, Chief People and Product Officer (C2PO), and Dr. Chris Jones, Chief Research and Development Officer (CRDO) – veteran robotics and AI leaders with experience spanning iRobot, Amazon, and other global consumer technology platforms.

Collectively, the founding team has deployed over 50 million consumer robots worldwide and led advances in navigation, machine learning, and human-robot interaction. The broader team brings additional expertise from institutions including Disney Research, MIT, Boston Dynamics, and USC.

With offices in Boston, LA, and Hong Kong, Familiar Machines & Magic is building a long-term platform for Artificial Life in partnership with leading researchers, engineers, and strategic collaborators.

For more information, visit: familiarmachines.com.

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SOURCE Familiar Machines & Magic

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