Tag Archives: artificial intelligence

Arkero Announces $6 Million Pre Seed Funding Round, Partnerships with major MLS, NWSL and EFL teams

Arkero, a new platform using all aspects of Artificial Intelligence to effectively run the day-to-day operations of complex organizations in sport, today announced a $6 million pre-seed funding round, and early partnerships with professional sports organizations across MLS, NWSL, and the English Football League.

The round was led by Roger Ehrenberg at Game Changers Ventures, with participation from Alexis Ohanian (776), David Tisch (BoxGroup), Garuda Ventures, Founders’ Co-op and strategic investors including Adrian Hanauer of the Seattle Sounders and Seattle Reign.

Arkero’s first partners include the Seattle Sounders, Seattle Reign, San Diego FC and Bolton Wanderers FC. Initial deployments focus on integrating AI into matchday planning and season-ticket renewals to help teams streamline coordination, reduce manual work, and operate with greater clarity across disconnected tools.

In early deployments, the Sounders and Reign project over 50% improvement in efficiency savings around matchday planning in 2026 alone, driven by reduced manual work, faster decision-making, and fewer operational errors.

Arkero centralizes operational data, workflows, and decisions into a single system, allowing business teams to plan, execute, and adapt in real time – without adding headcount or new layers of complexity. Because it is being built by operators who have run clubs themselves, Arkero reflects the realities of sports businesses: small teams, complex events, constant deadlines, and no margin for error. As a result, teams gain back time, clarity, and confidence – and can focus on growing the business rather than managing around broken processes.

“I own a football club. I’ve sat in the meetings, lived the chaos, and felt the cost of running a business on Excel and email,” said Shivaas Gulati, CEO of Arkero, “ The opportunity exists because this is broken from the inside.”

After leaving Remitly, the company he co-founded in 2022, Gulati joined the ownership group of English club Southend United FC, a 119-year-old club competing in the National League. Drawing on his hands-on experience from Southend United – and advising organizations such as the Seattle Sounders – Gulati has applied the operational discipline and best practices developed at Remitly to the global sports industry, a market exceeding $500 billion annually.

“On and off the pitch, our business is about constantly looking ahead to identify what we can do better and how we can use technology and the right partners to gain a competitive edge,” said Sounders FC majority owner Adrian Hanauer. “Our investment in Arkero is aligned with this approach, accounting for not just where we are as an organization today, but where we need to be going forward.”

“We made intentional decisions to prioritize how our teams could be optimized through AI,”said Hugh Weber, President and Chief Business Officer of Sounders FC. “Partnering with Shivaas and the Arkero team allowed us to embed AI into our operating system rather than layering on software which has made the technology a durable part of our culture.”

“We look for companies that have a clear grasp of where both sports and business are headed, near term and long term,” said Roger Ehrenberg of Game Changers Ventures. “While many are still debating how AI fits into real business solutions, Arkero is delivering tangible results. They’ve already demonstrated real impact with partners like the Sounders and the Reign, and we’re proud to support them as they scale.”

“My biggest surprising launching Angel City FC was how devoid of tech the industry of sports was – all of my teams and my league are now supported by an operating system I’ve designed – but I know this isn’t an option for every owner and Arkero is building the must-have software teams need.” said Alexis Ohanian of 776. “If you’re hesitating to adopt AI, you’re already falling behind.”

Arkero is led by Gulati, Vamsi Narla, who leads product and engineering and Daniel Shi, who oversees business operations. The founding team spent nearly a decade together at Remitly, which went on to a successful $8B IPO on the Nasdaq.

Kitman Labs Artificial Intelligence Platform Breaks Down Sleepers FOR NFL Draft

Kitman Labs, the global enterprise SaaS platform providing the only single, centralized operating system today revealed its first-ever sleeper predictions for the NFL Draft, being held the next three days in Detroit Michigan.

For the 2024 NFL Draft, Kitman Labs  used their Artificial Intelligence models on NCAA and NFL datasets from 2010 to present to identify players that they think will be successful in the NFL. Kitman Labs staff also spent significant time on site at the NFL Combine again this year, looking at all data sets provided and using their own AI to help project results.

Below highlights five sleeper picks, the Kitman AI believes could have significant potential for NFL success.

Bo Nix – Oregon – QB  

NFL Draft Projection: 5th QB Selected

Kitman AI Projection: 73% chance of NFL Success – 1st QB

Looking like coming in at a 2nd round pick, Bo Nix ranks as the most likely Quarterback to be successful in this year’s NFL draft. Looking at his college stats it is easy to see why the model has this belief. 34 passing Touchdowns in your final college season are required by the model to have a significant increase in NFL success – Nix has 11 more. He also surpasses the threshold for Yards by nearly 700, his completion percentage is over 6% higher than required. While his rushing stats are not standout, the number of yards gained last season is high enough to show athletic ability, and his yards per carry is significantly over the threshold required by the model to increase his success rate.

Joe Milton III – Tennessee – QB  

NFL Draft Projection: 10th QB Selected

Kitman AI Projection: 31% chance of NFL Success – 3rd QB

Something that is apparent when investigating what our model values in a successful NFL QB, is that it believes that a Quarterback must possess either absolute elite arm talent, or have the explosive rushing ability to make splashy plays.  While the AI model highlights that Milton’s does not rank amongst the elite prospects in passing, and punishes him accordingly, it sees his rushing ability and gives him a significant chance of lasting several years in the league. Coaches and GMs may feel they can mould an athletic prospect, seeing future potential, and this phenomenon is something the AI may well be reaching back to.

Kendall Milton – Georgia – RB

NFL Draft Projection: 17th Drafted RB

Kitman AI Projection: 12% chance of NFL Success – 4th RB

The Kitman Labs AI model shows that an ability to get into the end zone in college is the number one indicator of future NFL success, far more so than yards, efficiency, or speed. With 14 rushing touchdowns in his final college season, Kendall Milton exceeded the required threshold for NFL success by 3 touchdowns. Our model also surprisingly rewards physical stature, with a taller running back being more likely to be successful. Perhaps this is due to a taller player’s greater ability to effectively carry mass, or their ability to participate in an NFL passing game. Whatever the cause, at over 6’1” Milton is one of the taller backs in the draft and the model rewards this accordingly. While Kendall Milton does have some drawbacks – the model penalizing him for lack of receiving ability, and him not hitting a required threshold in rushing yards – his ability to put points on the board see him nearly twice as likely to be a successful NFL running back than the average prospect at his position.

Malik Washington – Virginia – WR

NFL Draft Projection: 21st Drafted WR

Kitman AI Projection: 42% chance of NFL Success – 3rd WR

In a stacked 2024 WR draft class – our model rates this is by far the best class of the last decade and a half – it’s not surprising that some top tier talent is going to go in later draft rounds. However, our AI model surprisingly projects Malik Washington as being one of the top prospects in this year’s class. College receiving yards is the main indicator of future NFL success and longevity, and with 1426 yards in his final season Washington has approximately 40% more yards than the model believes necessary for a significant increase in NFL success probability. His 40 time of 4.47 seconds is also deemed fast enough to stand up in the NFL. Though this is right on the threshold our model has identified, in combination with his receiving yards and other statistics it significantly increases his chances of success. Interesting nugget; Washington did not participate in the 20-yard shuttle in the combine, but the AI has inferred from his other statistics he would have excelled at this.

Tahj Washington – USC – WR

NFL Draft Projection: 29th Drafted WR

Kitman AI Projection: 22% chance of NFL success – 15th WR

Tahj Washington is a curious case for our AI model. Not having participated in the 20-yard shuttle, the 3 cone drill, or the 40-yard dash at the combine, there are a lot of unknowns about this player. However, given his receiving yards, and his strong showing in both the broad jump and vertical leap, the model has inferred that he would have competed well, particularly in the 20-yard shuttle. Having completed these tests at his pro day, a dataset the AI had no access to, we can see he is potentially slightly below average in the 40 and 20 yards drills, but elite in the 3 cone drill. How this information would have influenced the models is unclear; however, overall the 3 cone drill ranks as the third most important feature for projecting success, so while the exact inference was wrong the model has seemingly correctly identified some possible elite athletic behavior from other available statistics. Washington still only ranks as 15th in our list of receivers, but given he is projected to be a day 3 pick and his success probability is twice that of an average WR, he still may present significant value in the draft.