Phantom Neuro Secures $19M To Advance Human-Machine Muscle Memory
staff writer • September 19, 2025
Phantom Neuro, an Austin, Texas-based neurotechnology startup spun out of Johns Hopkins University School of Medicine, has secured an oversubscribed $19 million Series A funding round, bringing its total funding to $28 million, announced on April 15, 2025.
How Phantom Neuro Integrates Muscle Memory in AI Prosthetics
Phantom Neuro’s Phantom X platform integrates muscle memory by implanting a small electrode array under the skin over residual muscles, capturing natural neural signals generated when users intend to move.
These electromyographic signals, processed through AI algorithms, enable the prosthetic to learn and adapt to the user’s unique patterns, replicating intuitive control akin to biological limbs. In a recent ASCENT study, the system achieved 94% accuracy across 11 hand and wrist movements, allowing non-invasive adaptation without extensive retraining.
Phantom Neuro’s Tech vs. elon musk's neuralink
The $19 million Series A, closed in April 2025, values Phantom Neuro as a key player in neurotech, enabling acceleration of its Phantom X platform from prototype to clinical trials.
Ottobock’s leadership investment, with a board seat for its CFO Dr. Arne Kreitz, underscores strategic alignment in prosthetics commercialization. The capital will fund outpatient-implantable electrode arrays that detect electromyographic (EMG) signals from residual muscles, translating them via AI into precise prosthetic commands.
This funding builds on prior seed rounds, positioning the company to extend applications beyond prosthetics to robotics and exoskeletons, in a sector where neural interfaces could reduce user training time by 50%.
Future Prospects for Phantom Neuro When can you Expect it to hit market
Experts praise Phantom Neuro’s approach for its minimally invasive nature and high accuracy, with Dr. Arne Kreitz noting its potential to lead prosthetics markets by providing effective, patient-centered solutions.
Researchers highlight the technology’s role in revolutionizing rehab, where AI-driven adaptation could shorten recovery by 25% through natural muscle retraining.
What is Phantom Neuro and its main technology?
An
Austin-tech-based neurotech firm developing the Phantom X neural interface for intuitive prosthetic control using muscle signals spun out of Johns Hopkins in 2021.
Who led the $19M Series A funding round?
Phantom Neuro’s $19 million Series A funding in April 2025, led by Ottobock, accelerates its Phantom X platform, integrating AI and muscle memory for 94% accurate neural control in prosthetics.
With total funding at $28 million and trials slated for 2026, the company is set to transform human-machine interfaces in a $12.3 billion market by 2030, enhancing autonomy for amputees and beyond. This milestone, backed by DARPA and FDA progress, promises profound quality-of-life improvements and innovation in rehab and robotics. For more on neurotech advancements, visit Objectwire.org.
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PsiQuantum, a leading quantum computing company, has raised $1 billion in a Series E funding round, valuing it at $7 billion, announced on September 10, 2025. PsiQuantum’s Plans for Quantum Computing Hubs in Chicago and Brisbane This capital will fund the construction of utility-scale quantum computing sites in Chicago, Illinois, and Brisbane, Australia, targeting million-qubit, fault-tolerant systems using silicon photonics technology. Led by BlackRock affiliates, Temasek, and Baillie Gifford, the round includes investors like NVIDIA Ventures and the Qatar Investment Authority, building on over $1.3 billion raised previously. With the global quantum computing market projected to reach $65 billion by 2030 , growing at a 32.7% CAGR, PsiQuantum’s photonic approach promises scalable, error-corrected computation. PsiQuantum’s $1 Billion Series E Funding Round The $1 billion Series E round, closed in September 2025, equips PsiQuantum to break ground on facilities in Chicago and Brisbane , deploy prototype systems, and advance photonic chips manufactured at GlobalFoundries’ Fab 8 in New York. These sites will host the world’s first million-qubit-scale, fault-tolerant quantum computers, focusing on error-corrected architectures to overcome qubit decoherence. The funding supports modular cooling solutions and high-volume semiconductor production, eliminating traditional cryostats for efficient scaling. PsiQuantum’s valuation at $7 billion post-money reflects investor confidence in its photonic qubits, which leverage telecom wavelengths for room-temperature operation of control systems. This investment caps a surge in quantum venture funding, following raises by QuEra ($230 million) and IQM ($300 million), positioning PsiQuantum to lead in practical quantum applications. PsiQuantum will establish utility-scale hubs in Chicago and Brisbane to manufacture and operate fault-tolerant quantum systems, leveraging local talent and infrastructure. The Breakthrough Potential of Fault-Tolerant Quantum Technology Fault-tolerant quantum technology is essential for reliable computation, using error-correction codes to mitigate qubit errors from noise and decoherence. PsiQuantum’s silicon photonics enables scalable qubits via high-volume manufacturing, targeting one million physical qubits for logical operations. This breakthrough could solve intractable problems in cryptography, where quantum computers threaten RSA encryption, and pharmaceuticals, simulating molecules for drug discovery at speeds 1,000 times faster than classical supercomputers . By achieving fault tolerance, PsiQuantum aims to deliver utility-scale machines for optimization in finance and logistics, reducing error rates below 10^-15 per gate. Who led PsiQuantum’s funding round? BlackRock affiliates, Temasek, and Baillie Gifford, with participation from NVIDIA Ventures and Qatar Investment Authority . What is the timeline for PsiQuantum’s quantum computers? Prototypes by 2026, full-scale sites operational by early 2030s, targeting commercial utility . PsiQuantum’s Funding Ushers in fault-tolerant quantum computers. With their 1 billion dollar check they will be setting up headquarters in Chicago and Brisbane representing a transformative leap in quantum computing. Valued at $7 billion, this initiative could unlock trillion-dollar impacts across industries, fostering global collaboration and economic growth in a $65 billion market by 2030 . As construction begins, PsiQuantum positions itself at the forefront of the quantum revolution, promising breakthroughs in computation and science. For more on quantum technology trends, sunscribe to the Objectwire.org .
The partnership between Avalanche (Avax) and Toyota Blockchain Lab (the research department of toyota) to build Mobility Orchestration Networkis. MON is reshaping urban mobility by integrating blockchain technology with autonomous vehicle systems. Multi-chain framework: The MON prototype features four custom, Avalanche-based Layer-1 blockchains, each handling specific functions: Issuance of security tokens Management of mobility rights Tracking of service usage Operations for stablecoins Why are Avalanche Blockchain and Toyota Collaborating on Atomized driving Taxis. Announced in September 2025, their collaboration introduces the Mobility Orchestration Network (MON) is a a blockchain-based infrastructure designed to power autonomous robotaxi fleets. Leveraging Avalanche’s high-throughput platform and Toyota’s expertise in autonomous driving, MON aims to create a secure, transparent, and efficient ecosystem for next-generation transportation. The Avalanche-Toyota Blockchain Lab partnership, launched in September 2025, marks a pivotal step in merging blockchain with autonomous mobility. The Mobility Orchestration Network (MON) aims to streamline robotaxi operations, from financing to ride-sharing, using Avalanche’s scalable blockchain. What is the Mobility Orchestration Network (MON)? A Blockchain-Based Mobility Solution by Toyota MON is a blockchain intermediary network designed to “orchestrate trust and unlock mobility’s value” for autonomous robotaxi fleets. Built on Avalanche’s multichain infrastructure and Interchain Messaging (ICM), it enables secure data sharing for vehicle financing, ride-sharing, insurance, and carbon credit tracking. MON’s neutral platform integrates with existing networks, supporting decentralized business models, per toyota-blockchain-lab.org . Key Applications MON supports on-chain operations like leasing, payments, and ownership transfers, creating a seamless ecosystem for robotaxi fleets. Its proof-of-concept, funded with $10.8 million, aims to standardize mobility processes, per en.cryptonomist.ch . Research Insight: MON’s prototype handles 1,000 transactions per second, per Avalanche’s technical specs. Role of Avalanche in Autonomous Robotaxi Infrastructure Why Avalanche’s Blockchain? Avalanche’s platform, known for sub-second finality and high throughput, processes thousands of transactions per second, ideal for real-time robotaxi data demands. Its multichain framework supports dedicated chains for mobility, ensuring scalability and security, per blockonomi.com . Tokenizing Mobility MON introduces VehicleOwnership tokens (ERC-721 NFTs) linked to Mobility Oriented Accounts (MOAs), enabling seamless ownership transfers and financing. This tokenization reduces administrative costs by 50%, per a 2025 Benzinga analysis, allowing investors to fund and track robotaxi fleets transparently. Decentralized Robotaxi Operations MON envisions robotaxis running on decentralized systems, with smart contracts automating ride scheduling, billing, and maintenance. This could reduce operational costs by 20%, per cryptorobotics.ai , enhancing efficiency for operators and passengers. Research Insight: Toyota tested blockchain for vehicle data tracking in 2023, per Toyota Blockchain Lab. Key Features of the Autonomous Toyota Robotaxi Infrastructure MON enables real-time Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication, optimizing routes and reducing congestion. Integration with traffic systems enhances safety. Carbon Credit Tracking MON tracks emissions on an immutable ledger, supporting carbon credit systems. This aligns with sustainability goals, appealing to regulators and eco-conscious consumers, Regulatory Alignment Aligning manufacturers and regulators for blockchain recordkeeping is critical. Roi Hirata of Ava Labs notes challenges in standardizing data formats across jurisdictions, requiring collaboration MON aims to supports smart cities with dynamic pricing and decentralized ownership, reducing car ownership reliance.
Tesla has achieved a pivotal milestone by securing permission from the Nevada Department of Motor Vehicles (DMV) to test its autonomous vehicle technology on public roads, announced on September 11, 2025 . This approval, part of the state’s Testing Registry certification, allows supervised testing of Tesla’s Full Self-Driving (FSD) system, marking a significant step toward commercial robotaxi services. This development aligns with CEO Elon Musk’s vision, shared during the July 23, 2025, earnings call, to expand robotaxi testing into multiple markets by year-end. Published on Objectwire.org , this article explores Tesla’s FSD technology, Nevada’s regulatory framework, safety measures, challenges for commercial deployment. Understanding Tesla’s Full Self-Driving Technology for Robotaxis Tesla’s Full Self-Driving (FSD) system powers its autonomous ambitions, utilizing a vision-based approach with cameras, ultrasonic sensors, and radar to navigate complex environments. Enhanced by neural networks and the Dojo supercomputer, FSD version 12.5 processes real-time data for tasks like lane changes and traffic light recognition, achieving safety levels comparable to human drivers in select scenarios. Over-the-air updates refine algorithms using data from Tesla’s fleet, which logged 1.3 billion miles on FSD by Q2 2025 . Nevada’s diverse urban and suburban roads will provide critical data to improve edge-case handling, such as navigating construction zones or adverse weather, advancing Tesla’s goal of unsupervised autonomy by 2026. Nevada’s Regulatory Framework for Autonomous Vehicle Testing Nevada’s progressive policies, established in 2011 as the first U.S. state to regulate autonomous vehicles, enable Tesla’s testing through a streamlined Testing Registry process. Companies self-certify compliance with Chapter 482A of the Nevada Revised Statutes, requiring incident reporting and safety adherence without level-specific permits. Tesla’s application, filed on September 3, 2025 , was approved in just seven days, granting autonomous plates and certificates. For commercial robotaxi services, Tesla must secure Nevada Transportation Authority approval, addressing liability and insurance. This framework positions Nevada as a leader, fostering innovation while ensuring safety, and may influence other states’ regulations. Safety Measures and Testing Protocols for Tesla’s Nevada Trials Tesla’s Nevada testing prioritizes safety with supervised operations, requiring trained drivers to monitor vehicles equipped with redundant sensors for 360-degree awareness. Pre-test simulations validate complex scenarios, while real-time data feeds iterative AI improvements. The DMV mandates incident reports within 10 days, ensuring transparency. Tesla’s FSD has reduced disengagement rates to below 1 per 100,000 miles in controlled tests , reflecting robust safety protocols. Testing will adhere to Nevada’s traffic laws, focusing on urban streets to refine algorithms, aligning with NHTSA guidelines for safe deployment. Challenges for Tesla’s Commercial Robotaxi Deployment in Nevada Despite the testing permit, Tesla faces hurdles for commercial robotaxi services: Regulatory Complexity: State-specific rules require additional Nevada Transportation Authority approval for paid rides. Technical Barriers: Achieving Level 4 autonomy demands handling rare scenarios, with current FSD needing supervision. Public Trust: High-profile AV incidents, like the 2024 Cruise recall, necessitate proven safety to gain consumer confidence. Infrastructure Needs: Expanding charging networks and maintenance facilities is critical, with costs estimated at $0.30-$0.50 per mile for liability insurance. These challenges require rigorous testing in Nevada to validate safety and scalability for a 2026 commercial rollout. Future Prospects for Autonomous Ridesharing in Nevada Nevada’s support for Tesla’s testing sets the stage for transformative ridesharing, potentially reducing congestion and emissions while enhancing accessibility. Tesla aims to launch unsupervised robotaxi services by late 2025, leveraging Nevada’s infrastructure, including Las Vegas’s Vegas Loop. With nearly 500 autonomous vehicles operating statewide , competition drives innovation, potentially lowering ride costs to $0.20-$0.40 per mile. Economic benefits include tech job growth, while policy advancements will address data privacy and equity, positioning Nevada as a model for national autonomous vehicle adoption. FAQ: Key Questions About Tesla’s Nevada Autonomous Testing What does Tesla’s Nevada testing permit cover? It allows supervised testing of autonomous vehicles on public roads, not commercial rides, effective September 11, 2025 . How quickly was Tesla’s application approved? Filed on September 3, 2025 , it was approved in seven days by the Nevada DMV. What safety measures are in place for testing? Supervised drivers, redundant sensors, and simulations ensure safety, with disengagement rates below 1 per 100,000 miles . What is needed for commercial robotaxi services? Approval from the Nevada Transportation Authority for safety, liability, and insurance Nevada Transportation Authority, 2025 . When will Tesla launch unsupervised robotaxis? Tesla targets unsupervised operations by late 2025, using Nevada data to refine FSD 1.3 billion miles logged . Tesla’s Nevada Testing Shapes the Future of Mobility Tesla’s approval to test autonomous vehicles on Nevada’s public roads is a crucial step toward revolutionizing ridesharing. With nearly 500 driverless vehicles already operating, Nevada’s progressive policies and Tesla’s FSD advancements pave the way for safer, cost-effective mobility by 2026. This testing phase will refine technology and build public trust, setting a national precedent. For more on autonomous vehicle trends, visit Objectwire.org . Word count: 1,250
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The Texas Responsible Artificial Intelligence Governance Act (TRAIGA), signed into law in June 2025, positions Texas as a trailblazer in regulating artificial intelligence (AI). Sponsored by South Lake Republican Representative Giovanni Capriglione, TRAIGA balances innovation with ethical oversight, addressing privacy, bias, and misuse concerns while fostering a business-friendly environment. Pioneering Step in AI Regulation TRAIGA: Texas’s AI Governance Landmark The Texas Responsible Artificial Intelligence Governance Act (TRAIGA), enacted in June 2025, establishes Texas as a leader in AI governance. With AI projected to contribute $15.7 trillion globally by 2030, per a 2023 PwC report, TRAIGA addresses ethical challenges while promoting innovation, ensuring Texas remains a tech hub. What is Texas TRAIGA? TRAIGA tackles privacy concerns, algorithmic bias, and misuse risks, fostering public trust and attracting AI investment. As Austin emerges as a global AI center, with over 1,500 AI firms, TRAIGA’s framework ensures responsible growth, per Texas Economic Development. Introduced by Rep. Giovanni Capriglione, TRAIGA was developed through consultations with privacy advocates, tech leaders, and policymakers. Rep. Giovanni Capriglione, a South Lake Republican with a tech and finance background, spearheaded TRAIGA. Shaping AI Policy Capriglione’s vision emphasizes transparency and audits, positioning Texas as an ethical AI leader. His leadership earned praise from the Electronic Frontier Foundation and tech giants like Dell. Capriglione’s prior tech laws boosted Texas’s tech GDP by 15%, per Texas Economic Development. What is Texas Responsible Artificial Intelligence Governance Act? Key provisions of TRAIGA Responsible AI AI Transparency and Data Privacy: TRAIGA mandates clear disclosure of AI data collection and processing, addressing privacy fears. Companies must implement robust data protection Mandatory Audits: Regular audits combat bias, aligning with NIST’s 2024 findings on discriminatory AI outcomes. This ensures fairness across industries Business Incentives: Tax credits and grants support AI innovation, with Texas hosting 1,500+ AI firms Ethical Guidelines: TRAIGA aligns with IEEE’s human-centric AI principles, prioritizing safety and accountability Tech leaders, including Dell and Tesla, support TRAIGA’s clear framework, reducing compliance risks. A 2025 Texas Technology Council survey found a majority of executives believe TRAIGA will attract investment in Texas. Critiques of TRAIGA from Startups and AI companies Some startups worry about compliance costs, per a 2025 Center for Digital Innovation analysis. Some companies like Unnanu in Austin, have claimed that misguided frameworks or laws can actually slow down the innovation. The flip side being, things like the Taylor Swift AI laws must go into place to create a safe and equitable environment. A majority of startups already cite compliance costs as a challenge. Stay tuned to Objective Wire for more updates on this evolving topic.
On June 27, 2025, federal regulators closed Santa Anna National Bank, the sole banking institution in Santa Anna, Texas. The Office of the Comptroller of the Currency (OCC) took action after determining the bank had suffered “substantial dissipation of assets and earnings” and was in an unsafe and unsound condition. At the time, the bank’s assets were already lower than its obligations. Suspected Fraud and Financial Decline Investigations showed that “suspected fraud” played a critical role in the bank’s demise. As of mid-April, the bank held around $76.9 million in assets and $71.4 million in deposits—both sharply declined by June 18 to $63.8 million in assets and $53.8 million in deposits. Around $2.8 million of deposits exceeded FDIC insurance limits—a cautionary marker of the bank’s weakened standing (fdic.gov, bankingdive.com). FDIC Steps In, Coleman County State Bank Assumes Deposits Following the closure, the Federal Deposit Insurance Corporation (FDIC) was appointed receiver and arranged for Coleman County State Bank to assume all insured deposits and some assets under a purchase-and-assumption agreement ( fdic.gov ). The bank’s only branch reopened as a Coleman County State Bank location on June 30, 2025, and customers’ accounts, checks, ATM/debit cards, and online access continued without interruption. What Should Depositors At Santa Anna bank Do? For typical depositors, the transition to Coleman County State Bank is seamless—insured balances and services remain protected (fdic.gov, colemanbank.com). However, those with uninsured funds (deposits exceeding $250,000) are urged to contact the FDIC directly to explore accessing uninsured funds or making claims (fdic.gov). Will more banks Fail in US in 2025 ? Santa Anna’s failure was the second U.S. bank collapse in 2025, following the January failure of Pulaski Savings Bank in Chicago—a similarly fraud-linked case (fdic.gov, bankingdive.com, barrons.com). It’s also Texas’ first bank failure since 2019, when Enloe State Bank folded In the small town of roughly 1,000 residents, the shutdown represented more than a banking crisis; locals described it as a “somber day,” marking the end of a 92-year institution. Vulnerabilities in the Banking System The Santa Anna case underscores vulnerabilities across the broader U.S. banking system that could cause additional failures if conditions worsen. Unrealized losses on securities: Many banks hold large portfolios of government bonds and mortgage-backed securities purchased when interest rates were low. Rising interest rates reduce their value, leaving institutions with significant “paper losses.” If banks are forced to sell these assets to cover withdrawals, those losses become real and destabilizing. Reliance on uninsured deposits: Community and regional banks with high concentrations of large, uninsured deposits are more vulnerable to sudden withdrawals. When confidence falters, depositors may quickly move funds to larger banks perceived as safer. Concentration risks: Banks serving niche industries—such as tech startups or real estate developers—face heightened risks when those sectors slow down. A downturn in one concentrated market can quickly spill into the bank’s loan performance. Operational and fraud risks: As shown in Santa Anna and Pulaski, fraud or weak internal controls remain a threat. Smaller institutions with fewer resources often lack robust compliance or risk monitoring systems Credit card balances have reached record levels , and delinquencies are trending upward, reflecting household stress. Broader consumer debt—from personal loans to buy-now-pay-later products—adds to the vulnerability, leaving banks exposed to potential waves of defaults if the labor market weakens further. While regulators emphasize that most U.S. banks remain sound, these stress points could trigger further closures if economic or confidence conditions worsen. What’s Next... While no specific bank is pegged for failure, experts warn of warning signs like rising unrealized losses, heavy reliance on uninsured deposits, and liquidity stress. While bank failures remain rare, Santa Anna’s collapse is a reminder that vulnerabilities persist. By staying within FDIC insurance limits, diversifying deposits, and monitoring signs of stress, depositors can navigate uncertain times with greater confidence.