Trading & Ops Intelligence

Stop switching tools mid-incident.

Review incidents, suspicious accounts, margin leakage, and player context in one live workspace.

Start a pilot See how it works

Built to fit the operator stack

Works alongside

SportsbookPAMMTSOdds feedsCRMBI

Built for the moments that move the book

One view of price, margin, and player behaviour

Trading, risk, CRM, and product teams can look at the same evidence when a result needs explaining or a decision needs making.

Pricing and margin

Check whether price, timing, promotions, or player mix are behind the result.

Player groups

Build useful groups around value, behaviour, and risk without flattening every player into one score.

Live signals and follow-up

Flag prices or account activity that need attention, then keep the context for later review.

Operator evidence

Selected operator work

TradeVision is used across multiple operators. Here are two anonymised examples: a large-scale analytics deployment and a multi-sport pilot.

Anonymised TradeVision 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.

Anonymised pilot engagement

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.

Where teams use it

Questions sportsbook teams already ask

The answer is usually already in the data. TradeVision brings it together without another spreadsheet or a manual join.

Where did the margin go?

Compare pricing, timing, market movement, and player activity to see what changed.

Which players are driving the result?

Group players by value, behaviour, and risk, then follow how those groups change.

Are our prices being picked off?

See when accounts repeatedly take prices that move soon after, or when a market sits out of line.

What needs attention now?

Use live signals for delayed or off-consensus prices, unusual activity, and accounts worth a closer look.

Pilot path

Start with one question your team wants answered.

Test TradeVision against your own data and the way your team works today. Agree what a useful answer looks like, run the pilot, then decide whether it belongs in production.

Step 1

Frame the question

Agree what the team needs to understand, which data matters, and how the answer will be judged.

Step 2

Work on your data

Connect only the agreed inputs and review the findings with the people who handle the issue today.

Step 3

Decide what follows

If the answer is useful, agree what production should look like. If it is not, stop there.

See the pilot Explore TradeVision

Operator fit

Built around the systems your teams already use

Deployment

Run TradeVision on-premise, in your cloud, or as a fully managed Gambly.AI service.

Data connections

Connect through REST APIs, Kafka, or RabbitMQ, with custom integration available when the existing stack requires it.

Stack

TradeVision connects the context held across your sportsbook, PAM, MTS, odds feeds, CRM, and BI. It adds a working view across them rather than replacing them.

Coverage

Sportsbook first, with casino support for operators that want profiles, recommendations, and monitoring across both.

Teams

Trading, risk, CRM, product, and RG teams keep their own workflows while working from the same evidence.

Process

Client results, trading logic, and operating rules stay confidential. We share detail only with the people involved in the engagement.

Products

Two views of the same operator data

TradeVision explains pricing and margin for trading and risk. Profiles turns the player activity behind those results into groups that CRM, product, and RG can use.

Trading & Ops

TradeVision

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.

Pricing and margin

Trace a result through price, timing, player activity, and promotions instead of rebuilding the story by hand.

Player intelligence

Build useful player groups and see the account context behind the betting activity.

Accounts worth reviewing

See which accounts regularly find value and where their activity affects the book.

Price, margin, and player context for sportsbook teams.

Explore product

Player Intelligence

TradeVision Profiles

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.

Customer groups

See how the user base breaks down instead of working from a flat player list.

At-risk segments

Spot which groups are slipping, returning, or behaving differently before follow-up starts.

Customer value

See which customers are driving value and which segments are starting to slip.

Useful player groups, movement over time, and who needs attention.

Explore product

Start a pilot conversation

Bring a margin, pricing, or player question. We will show where TradeVision or Profiles fits first.

Start a pilot conversation See the pilot