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Virtual reality haptic “smart suit” uses AI with biometrics to simulate real-world environments
One of the innovative future technologies that was on display at this year’s Consumer Electronics Show (CES 2019) in Las Vegas is the Teslasuit, a full body virtual reality haptic suit that delivers real sensations to users that mimic the environment of a digital simulation or game. In a haptic feedback system, stimuli are used to provoke real sensations involving touch – shocks, punches, pushes, bumps, etc. Teslasuit combines this sort of environmental feedback along with climate control, motion capture, and biometric systems to give a fully responsive, immersive experience to the user. Combined with true-to-life virtual reality graphics, this device could finally provide the experience VR was intended to have since its development began.
The full-body sensations of the Teslasuit seem to indicate a new level of experience for virtual reality users, but the haptic capabilities aren’t the only things making it stand out. The suit’s biometric system is designed to use machine learning to analyze heart rate, stress levels, and overall mental and emotional states to create experiences catered to the user. How this capability will be implemented is really up to game developers, though. As data is gathered from biometrics, capabilities will follow. “This is very important for the gaming industry. We see that in the future, when we come to the end user market, that we will be able to offer a lot of data sensing for the developers to process, for the AI itself to adjust the game to the player,” Dimitri Mikhalchuk, co-founder of Teslasuit, explained in an interview with Digital Trends. The suit was first officially unveiled at CES 2018.
Teslasuit uses 68 channels embedded throughout the suit’s fabric to deliver electrical stimulations, and the company is working to expand on that number. Also included in the suit’s software is a haptic library, enabling game developers to create their own effects to correspond with their virtual worlds. The climate control system adjusts the temperature of the suit, heating and cooling in accordance with the virtual environment. Finally, its motion capture and avatar system track motions from the users entire body to interact with virtual environments (and built with multiple players in mind), something that’s more or less an expansion on the core of VR to begin with.
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- The haptic Teslasuit as imagined in a VR game environment. | Credit: Teslasuit
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- The haptic Teslasuit. | Credit: Teslasuit
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- The haptic Teslasuit. | Credit: Teslasuit
While the Teslasuit brings virtual worlds closer to a potentially action-packed reality, bruises are not part of the experience, according to Mikhalchuk. The electric stimulation is matched to the users own strength, adapting its responses to the input. In other words, the force a user “hits” with in a game is the amount of force used to “hit” back, i.e., electric pulses make the muscles contract within that range.
With the equivalent of a full body shocking device wrapped around players, the question of security arises, yet another thing Teslasuit has addressed in its design. Its software has military grade encryption (AES 256) built into its wireless control system to ensure users’ bodies are not (literally) hacked into. Among its many features, Teslasuit is also completely wireless, boasts a 10+ hour battery life, and is machine washable (important for sweat-inducing virtual scenarios and general funk from frequent wear). A summary of the device on the Teslasuit website reads like something from a science fiction movie:
A highly developed form of computer modeling allows an operator to immerse in the artificial world. The user can act directly in it with the help of special sensory devices that link movements with audio-visual effects. In this case, the user’s visual, auditory, tactile, and motor sensations are replaced by their imitation, generated by a computer system with full body haptic VR suit. At the same time, biometric system of the Teslasuit analyzes human performance and health (workforce and human performance analytics). – Teslasuit.io
The future of augmented reality and virtual reality applications have been explored in fictional storylines over the years with the most recent and directly relevant one being the haptic system imagined in the movie Ready Player One. The Battlestar Galactica prequel series “Caprica” also imagined an immersive virtual world that users could “feel” experiences in (or otherwise do things they wouldn’t/couldn’t in the real world), but that didn’t require a suit, just a mind. In an episode of Netflix’s Black Mirror series called “Playtest”, an American traveler in the UK signs up to demo an immersive VR horror game to earn some money. Unlike the Teslasuit, however, the experience in that episode involved an implant to the user’s neck called a “mushroom” which linked up the VR experience with a user’s brain. The Matrix also suggested an immersive environment, although people weren’t exactly voluntarily involved, if they ever knew it wasn’t real to begin with.
Other than gaming, Teslasuit is suggestive of several solutions for non-entertainment industries. According to an article on their company website, several VR-training solutions were available for demonstration at CES 2019: Astronaut VR-training in an ISS module, an oil-loading ramp operation VR-simulator, emergency evacuation VR-training, and a powerplant VR training simulator. Teslasuit is currently continuing its outreach and collaboration with game companies to develop content. Its software development kit and corresponding system tools and applications are included with the purchase of the suit which began shipping B2B in the third quarter of 2018.
Watch the below video for a first-hand review of Teslasuit:
Tesla has finally clarified the situation regarding the viral crash in Texas where a Model 3 slammed into a home.
CEO Elon Musk replied to reports on Monday that stated the crash was due to the company’s Full Self-Driving or Autopilot suite, which seemed unlikely to those who are familiar with it. Video showed the car slamming into a house at an excessive rate of speed, making it highly unlikely the crash was due to the suite’s operation, as it does not travel at those speeds in residential areas.
Musk said:
“This makes no sense. FSD drives slowly through neighborhood streets, and this was a high-speed crash!”
Tesla’s Head of AI, Ashok Elluswamy, added context, revealing that the company’s data shows the driver “manually overrode self-driving by pressing the accelerator all the way to 100%.”
He revealed the speed reached by the car was 73 MPH, and the accelerator was still pressed “even after the crash.”
Yup. In this case, the driver manually overrode self-driving by pressing the accelerator all the way to 100% of the accel pedal in this residential area. They reached a speed of 73 mph during the crash, and had the accelerator pressed even after the crash.
— Ashok Elluswamy (@aelluswamy) June 22, 2026
Authorities are reportedly investigating “whether Tesla’s Autopilot system played a role after a Model 3 left the roadway…slammed through a brick house at high speed and fatally struck Matha Avila as she sat inside,” the New York Post reported.
The National Highway Traffic Safety Administration (NHTSA) is now investigating the crash. Tesla will work with the agency to provide them with whatever information they need in order to clarify the cause of the crash.
Similarly, Tesla had claims of a fatal accident in Harris County, Texas, a few years ago. Early reports indicated that Full Self-Driving was the cause of the crash. After the National Transportation Safety Board (NTSB) worked with Tesla, the agency proved there was “no use of the Autopilot system at any time during this ownership period of the vehicle, including the time frame up to the last transmitted timestamp on April 17, 2021.”
Tesla alleged “driverless” crash in Texas: What is known so far
“Application of the accelerator pedal was found to be as high as 98.8 percent,” the NTSB said in their findings. The highest recorded speed in the five seconds leading up to the impact was 67 miles per hour. The area where the crash occurred is residential, and Texas State laws have default speed limits of 30 MPH in residential streets.
This appears to be a similar situation. However, an investigation will prove what happened for sure.
SpaceX announced today that it commenced its first-ever public bond offering, marking a significant step in the newly public company’s capital markets strategy.
The company announced an offering of senior unsecured notes expected to raise at least $20 billion.
The move comes just a short time after SpaceX completed one of the largest initial public offerings in history. In mid-June, the company priced shares at $135 and raised more than $85 billion, propelling founder Elon Musk’s net worth past the trillion-dollar mark and giving the firm substantial liquidity.
🚨 SpaceX has announced its inaugural offering of senior unsecured notes.
The net proceeds will be used to repay outstanding loans under its bridge loan facility in full.
This inaugural debt offering represents a financing milestone for SpaceX, which previously depended… pic.twitter.com/pcOZuVbTRv
— TESLARATI (@Teslarati) June 22, 2026
According to the company’s SEC filing, the net proceeds from the notes will be used primarily to repay in full the outstanding borrowings under its existing bridge loan facility, cover related fees and expenses, and fund general corporate purposes. The offering is being conducted under Rule 144A, as well as Regulation S, targeting qualified institutional buyers and non-U.S. investors. Notes will be unsecured obligations ranking equally with other unsubordinated debt.
The $20 billion bridge loan was used to refinance approximately $17.5 billion in higher-cost “junk” debt tied to X and xAI. SpaceX had merged with xAI in February 2026 in an all-stock deal. The bridge facility, which matures in September 2027, had represented the bulk of SpaceX’s long-term debt.
SpaceX officially acquires xAI, merging rockets with AI expertise
In connection with the bond launch, SpaceX disclosed it held approximately $100.8 billion in cash and cash equivalents as of June 19. Investor calls began on the announcement date, with pricing and launch expected shortly thereafter. Rating agencies have assigned investment-grade ratings to the proposed bonds, reflecting confidence in SpaceX’s dominant position in commercial launches and the growth trajectory of its Starlink internet offering.
The debt raise also allows SpaceX to optimize its balance sheet by replacing short-term, higher-cost bridge financing with longer-date, lower-cost fixed-income securities. This provides greater financial flexibility to support capital-intensive initiatives, including the development of Starship, the expansion of the Starlink constellation, and the integration of AI capabilities following the xAI combination.
SpaceX shares (NASDAQ: SPCX) fell sharply on the news, dropping over 16 percent overall on the market on Monday. The stock had surged initially after debuting but pulled back amid profit-taking and broader market dynamics.
Overall, the bond offering underscores SpaceX’s transition to a mature public company with access to diverse funding sources. It positions the firm to pursue its long-term vision of multiplanetary expansion and AI infrastructure, while maintaining a disciplined approach to its capital structure in a high-growth but capital-heavy industry.
SpaceX confirmed today that it has officially signed its third massive compute deal, providing compute at its Colossus data center in Southaven, Tennessee.
Reflection AI will gain immediate access to NVIDIA GB300 chips at SpaceX’s Colossus 2 data center. In return, Reflection will pay SpaceX $150 million per month starting on July 1, with total payments reaching approximately $6.3 billion if the contract runs through its duration, which is until 2029. Either party can terminate the agreement with 90 days’ notice after the initial three-month period.
CNBC first reported the deal.
🚨 SpaceXAI has agreed to a new compute deal with Reflection AI.
Reflection gets access to NIVIDIA GB300s, and will pay $150M per month to SpaceXAI for the compute. pic.twitter.com/bNPare8U5u
— TESLARATI (@Teslarati) June 22, 2026
This latest partnership highlights SpaceX’s strategy of commercializing its massive Colossus supercomputing infrastructure, originally developed to power Elon Musk’s Grok AI models. The company has rapidly expanded its customer base in the AI sector following its February 2026 merger with xAI, a transaction that valued the combined entity at $1.25 trillion.
SpaceX has previously signed significant compute deals with other major players.
It granted Anthropic exclusive access to the full capacity of its Colossus 1 data center, which exceeds 300 megawatts and includes over 220,000 NVIDIA GPUs. Details from SpaceX’s IPO filings indicate Anthropic will pay $1.25 billion per month through May 2029, potentially generating around $45 billion over the term of the deal.
Additionally, Google agreed to pay SpaceX $920 million per month for compute capacity from October 2026 through June 2029. This 32-month period will provide Google access to roughly 110,000 NVIDIA GPUs, along with supporting processors and memory. Capacity ramps up through September at a reduced fee, with termination options after the first year.
SpaceXA also established arrangements for computing power with Cursor, an AI coding startup. SpaceX acquired them in a $60 billion all-stock deal.
These arrangements position SpaceX’s collective position as an AI infrastructure powerhouse with high-margin revenue potential. The Google deal alone could generate nearly $29.5 billion over its term, while the Reflection contract adds another $6.3 billion.
Combined with the Anthropic arrangement, SpaceX stands to realize tens of billions in revenue from compute leasing in the coming years, which diversifies beyond SpaceX’s traditional rocket launches and Starlink operation.
The deals underscore growing demand for advanced AI training and inference capacity amid chip shortages and surging model development needs. Reflection, valued at $25 billion and focused on “American open intelligence” with government and national security ties, cited recent restrictions on closed models as validation for open-source approaches.
For SpaceX, the partnerships transform capital-intensive data centers into flexible revenue sources while supporting its broader AI ambitions after the company has gone public.
Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration
SpaceX makes $20 billion move to optimize its balance sheet
