OnSport AI Raises $2M Pre-Seed for Athlete Risk Software
Brett Burman wanted an earlier warning when players began suffering non-contact injuries at the London Lions. That search helped lead the former general manager to OnSport AI, a Miami company bringing computer vision and biomechanics into the decisions surrounding an athlete's availability.
OnSport AI announced a $2M pre-seed round on November 5, 2026. The company plans to spend the money on product development, engineering and biomechanics hires, sports partnerships and military applications, putting more resources behind software designed to flag elevated injury risk from human movement.
The operating question reaches beyond whether a camera can capture a useful pattern. OnSport is selling into organizations where coaches, performance specialists and medical staff must decide what that information means for a particular player, often while a game or training session is still moving.
A funding round built around a team executive's problem
Burman, OnSport AI's CEO and co-founder, brings experience from the side of the organization that lives with an unavailable player. Refresh Miami's reporting describes his frustration at the London Lions: fatigue and training-load explanations offered limited help when he wanted a warning that could arrive before an injury. The distinction explains why the product is framed around risk identification and decisions, rather than simply collecting more athletic data.
Co-founder Ahmad Ishaq adds a technology and defense background. Adam Petway, a founding member and Director of Biomechanics, has worked with the Washington Wizards and Philadelphia 76ers. Their respective experience places team operations, technology development and movement science inside the same young company, giving OnSport several ways to understand the people evaluating its software.
The company-issued funding release does not name investors or disclose a valuation. It also does not establish lifetime capital raised, so the $2M should be read as the announced round. OnSport says it is based in Miami and has an additional office in Orange County, California; the planned hiring spans both engineering and biomechanics, reflecting how much of this product depends on interpreting movement as well as processing it.
What an athlete-risk signal has to do inside a club
OnSport describes software that uses computer vision and machine learning to analyze movement during play and afterward. Its official site positions the platform for elevated-risk identification and return-to-play support, with information intended to inform staff judgment. Those descriptions establish the product's purpose without supplying independent evidence that a particular alert prevents a particular injury.
For a prospective customer, the practical buying conversation begins with the recipient. A signal may be relevant to a coach's substitution decision, a performance specialist's workload discussion or a medical team's assessment, but those are different responsibilities. An organization evaluating such software needs to understand where its output enters that conversation and what information accompanies it; otherwise, the people receiving the alert inherit another interpretation problem.
That is why speed alone is an incomplete account of the opportunity. A prompt notification can still leave staff asking how the signal was produced, how it relates to the athlete they know and what the system cannot establish. These are questions raised by the buying context, rather than claims that OnSport has disclosed a particular approval process or solved every part of the handoff. The hiring plan puts movement expertise close to the engineers building that experience.
Sports agreements and a second customer at league level
OnSport reports agreements with organizations across the NBA, NCAA, international basketball and professional soccer. The reviewed announcement does not identify those organizations or disclose commercial terms. Refresh Miami also reports a pilot with an unnamed NBA team lasting more than a year, giving the story a development history while leaving readers without the information needed to assess contract size, recurring revenue or independently measured outcomes.
The company also sees a use for movement data beyond the performance department. Its website describes customized league data for digital media and broadcasters, while the funding release says league-wide enterprise agreements are being finalized. That wording matters commercially: work toward an agreement belongs at a different point in the sales process from an executed contract, and the announcement should be read accordingly.
These prospective buyers have different jobs. A performance team needs information it can interpret around an athlete; a broadcaster needs information that helps an audience understand the action. Serving both would require OnSport to make the same underlying movement analysis useful in different settings, with distinct expectations about presentation and use. The company's public positioning introduces that possibility without disclosing how much business either channel currently contributes.
Where the new capital directs the work
The intended spending gives OnSport a concrete development agenda: improve the product, grow the engineering and biomechanics teams, and extend professional and collegiate partnerships. The company also plans to advance military applications, a direction consistent with Ishaq's background. The release does not identify a military customer, procurement award or deployment, so the expansion remains a stated area of work rather than a disclosed government contract.
For founders selling into professional sport, access to practitioners can help expose the distance between a compelling demonstration and a tool used during an ordinary working week. OnSport's leadership has relevant experience inside that environment, but the reviewed materials leave performance evaluation and business economics largely undisclosed. Buyers will need evidence appropriate to their intended use, including a clear account of the output's limits, before treating a risk flag as part of a consequential decision.
The $2M announcement therefore lands at a specific point in OnSport's development: more money for the people building the software and the science around it, alongside a broader partnership agenda. Burman's original search for a warning now reaches the staff who would receive one. As OnSport takes the product into more conversations, those teams will bring their own athletes, working practices and reasons for deciding whether a signal is useful enough to act on.
Frequently Asked Questions
How would OnSport AI fit into a sports organization’s decisions?
OnSport AI describes movement analysis that flags elevated injury risk for performance staff, medical teams and front offices. Its site also identifies return-to-play support as a use; staff retain responsibility for interpreting the information.
What is the difference between identifying injury risk and demonstrating injury prevention?
Risk identification flags a potential concern for staff to assess. The reviewed OnSport AI materials do not provide independently verified injury-reduction results, so the product should not be described as guaranteeing prevention.
Why does the hiring plan include both engineers and biomechanists?
The company plans to expand both teams with the funding. Its software combines computer vision and machine learning with the interpretation of athlete movement, making both technical development and movement expertise relevant to the product.
Are OnSport AI’s sports agreements and military work publicly detailed?
OnSport AI reports agreements across professional and collegiate sports but does not name those organizations or disclose terms in the release. It plans to advance military applications without identifying a military contract or customer.
What funding details remain undisclosed?
The company announced a closed $2M pre-seed round in a November 5, 2026 release. The release does not name investors, provide a valuation or establish total historical funding; the dollar denomination is not explicitly specified.
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