We use continuous learning and dynamic feature selection to make relevant predictions by incorporating new high-quality data and updating the inference pipeline in real-time. We serve users with near-instantaneous and context-driven recommendations. To enable comprehensive analysis, we allow for integration and exchange of other models and can handle custom-built, open-source, and third-party domain-specific models as needed. Our platform combines computer vision deep learning with statistical machine learning. It continuously learns from the new data sources.

Our patent pending technique, called Visual ML, is a production-ready enterprise solution that addresses the need for accuracy, cost, latency, and security for analyzing sports videos. Our no-code pipeline, with the innovative spatial-temporal based components delivers inference at scale at a fraction cost compared to the traditional methods.

What We Do

Copilot for Video Analytics

Using state-of-the-art computer vision techniques, we analyze sports videos to extract multidimensional quantitative and qualitative metadata.
This includes player positions, movements, skills, their interactions with other players and sports objects.
We combine this with auto generated data with the other structured and unstructured data sources such as video, audio, sensors, and available textual data.
Using this analysis we can construct team strategies, calculate physical properties of players such as maximum sprint speed, their relationship with other players.
We provide generated data in easy to consume visual layouts and programmatically easy to utilize structured dataset.
Our SASS platform can continuously learn and improve in performance.
It can also pair our computer vision deep learning with statistical machine learning for improved predictions.

Copilot Fantasy Engine

Our prediction engine helps all sports teams, coaches and fantasy users to make predictions on the games outcomes, player performances.
It helps in competitive analysis of opponent plays with respect to game strategies.
It proposed condition specific tactics and can be utilized to improve player performance by proper visual feedback.

Copilot Strategy Engine

Our prediction engine solutions provide users with enhanced capabilities to get faster insights, and make accurate predictions in real time.
We use continuous learning and dynamic feature selection to generate raw data in real time that can be analysed to make relevant predictions through a real time inference pipeline.
This enabled us to serve users with near-instantaneous and context-driven analysis and recommendations, such as which play to execute.
To enable comprehensive analysis, we allow for integration and exchange of other models and can handle custom-built, open-source, and third-party domain-specific models as needed.
Our copilot strategy engine benefits from our copilot for video analysis which generates vast amounts of structured data from the video feed.

YOUR NEEDS OUR CREATION.

DFC

DFC is a Fantasy Platform that empowers fantasy users with statistical analysis, odds predictions, auto-generated fantasy teams.
DFC handles all major sports in the USA.
DFC is powered by our state-of-the-art predictions engine.
DFC helps users predict game outcomes and create optimal fantasy teams based on their insights and beliefs.

Spontasy

Spontasy is a Fantasy Platform that empowers fantasy users with statistical analysis, odds predictions, auto-generated fantasy teams.
Spontasy handles India's major sport, Cricket.
Spontasy is powered by our state-of-the-art predictions engine.
Spontasy helps users predict game outcomes and create optimal fantasy teams based on their insights and beliefs.

VISUAL ML

Visual ML is the most advanced Computer Vision powered AI pipeline that takes sports videos as input and outputs critical sports related insights.
It is a production-ready enterprise SAAS solution that addresses the need for accuracy, cost, latency, and security. Our no-code pipeline, with the innovative spatial-temporal base pipeline, links components to store, manage, and process visual deep learning models, delivering inference at scale. Visual ML consists of the following pieces.

Movement Analysis that provides precise position of every player on the sports field and how it correlates to the play strategy.

Pose Analysis provides an accurate description regarding the pose of every player on the sports field and how it correlates to the skill outcome.

Event Analysis provides accurate event details important in the game development.

Skill Analysis that provides the accurate description regarding the skill, a single player or all players collectively execute at a given event or given time instance.

Health Analysis provides a description regarding inferred health parameters of the athlete and how it correlates to the specific events.

Currently VISUAL ML pipeline is only available for selected sports. Visual ML is only available on request. Please contact us for more information or would like to set up a demo with us.

AI-BET

AI-BET is the most advanced automated betting tool that given most accurate line information for upcoming sports events.
AI-BET enables users to use their knowledge, analysis, belief, and gut feeling in adjusting the odd predictions and player projections.
AI-BET is the most advanced tool to manage your prop-bets or in game bets.
AI-BET helps usrs to manage their risks on their bets.

AI-BET is only available on request. Please contact us for more information or would like to set up a demo with us.