Trace a margin result
Compare accepted prices, timing, market movement, player activity, and promotions without rebuilding the story by hand.
Trading & Ops Intelligence
Review incidents, trace margin, and understand the accounts and players behind each result in one operating view.
Trading desk workflows
TradeVision connects the pricing, bet, account, player, and promotion context operators already hold. The trading team keeps control of the decision.
Compare accepted prices, timing, market movement, player activity, and promotions without rebuilding the story by hand.
Put the market move, affected bets, linked accounts, and player context into the same investigation.
See which accounts repeatedly find value, how they are connected, and where their activity changes the result.
Group players by value, behaviour, and risk, then follow movement that matters to trading, CRM, product, or RG.
Customer names and operating details remain confidential. The examples below cover only the work we can discuss publicly.
Regulated sportsbook deployment
40TB+
of operator data handled
“Gambly.AI played a pivotal role in a complex data and analytics project. Their team combined deep sports-betting expertise with a highly professional and flexible approach. They helped us solve difficult business challenges and enabled our trading team to work faster and with greater precision.”
Trading team, leading regulated sportsbook operator
Client name withheld under confidentiality. Quote edited for length.
Wagering analytics pilot
Several million
historical bets used in a multi-sport pilot
Gambly.AI designed and configured the pilot analytics environment for a wagering operator to support player segmentation, behavioural clustering, sharp-player ranking, and the identification of event windows with elevated pricing risk.
Product
TradeVision is the operating view for pricing, margin, incidents, and account review.
TradeVision Profiles extends the same data into player groups for CRM, product, risk, and RG.
Trading & Ops
TradeVision traces sportsbook performance back to the pricing, markets, and player activity behind it. Teams can see where value was taken, which accounts are shaping the result, and what deserves a closer look.
Trace a result through price, timing, player activity, and promotions instead of rebuilding the story by hand.
Bring the market move, accepted bets, linked accounts, and player context into one investigation.
See which accounts regularly find value and where their activity affects the book.
Flag delayed or off-consensus prices while the market is still moving.
Built on the same operator data
Most CRM, product, and RG teams are still working from a flat player list. TradeVision Profiles turns sportsbook activity into customer groups and movement over time so teams can see who matters, who is shifting, and where follow-up should start.
Commercial path
Start with a trading, margin, or player question. Agree the data and success criteria before delivery begins, then make the production decision from the pilot evidence.
Define the business question, users, inputs, and the evidence that would make the work useful.
Connect only the agreed data and run the workflow with the team that handles the issue today.
Agree the production architecture, integrations, operating workflow, and ownership.
Move into an annual software licence only when the pilot has established a useful production case.
Next step
Bring a margin, pricing, or player question. We will show where TradeVision or Profiles fits first.