GrinData
A real-time odds-pricing engine that applies high-frequency trading techniques and machine learning to price the widest range of micro markets — reliably, at scale.
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Overview
GrinData by Grin Gaming is a micro-markets pricing platform that brings high-frequency trading discipline to sports betting. We built the data and machine-learning backbone that ingests live event data and returns reliable odds across the broadest set of markets in the industry.
- Client
- Grin Gaming
- Timeline
- 20 Weeks
- Platform
- Custom Cloud Platform (AWS)
- Services
- AI & Machine LearningData EngineeringBackend ArchitectureCloud & DevOps
The Challenge
Price thousands of fast-moving micro markets in real time with the accuracy and uptime a trading operation demands.
Pricing micro markets — outcomes that shift second by second — is unforgiving. Stale prices get arbitraged, slow prices get missed, and any downtime is lost revenue. Grin Gaming needed an engine that could ingest high-velocity event feeds, run ML models continuously, and publish fresh odds across thousands of markets with single-digit-millisecond latency and trading-grade reliability.
Our Approach
How we built it.
Streaming Data Backbone
We built a Kafka-based pipeline to ingest and normalize high-frequency event feeds, with Redis as a hot cache for sub-millisecond reads.
ML Pricing Models
TensorFlow models were trained and back-tested against historical event data, then served behind a low-latency FastAPI layer for continuous inference.
HFT-Grade Execution
We applied high-frequency trading patterns — tight latency budgets, circuit breakers, and graceful degradation — so prices stay live even under load.
Observability & Safeguards
Every market is monitored in real time with automated alerting and model-drift detection to keep pricing trustworthy.
The Solution
What we shipped.
The platform streams live event data through a Kafka backbone, prices markets with continuously-served ML models, and publishes odds in under 40 milliseconds. Built with the failover and monitoring discipline of a trading desk, it sustains 99.99% uptime while covering more markets than competing feeds.
Tech Stack
The Results
Outcomes that moved the business.
<40ms
Pricing Latency
10k+
Markets Priced
99.99%
Model Uptime
- Sub-40ms end-to-end pricing latency across the full market book
- Coverage of 10,000+ concurrent micro markets in real time
- 99.99% model serving uptime with automated failover and drift detection
- A scalable ML pipeline the team retrains and ships without downtime