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Real Time Inference Engines

Overview

When you need answers in milliseconds, Galific’s Real-Time Inference Engines deliver. These systems serve machine learning predictions instantly, ideal for use cases like fraud detection, product recommendations, or medical alerts. We build lightweight, high-speed engines that scale with your traffic and respond in real-time—without compromising on accuracy.

What We Deliver

  • Sub-300ms response prediction APIs

  • Scalable architecture (microservices-based)

  • Secure and reliable endpoints

  • Model caching & optimization for speed

  • Logs, tracing, and error management

Services List

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Brochure

What’s the benefit of real-time inference?

Real-time inference lets your systems make instant decisions—whether it’s showing personalized recommendations or rejecting fraudulent transactions before they happen.

What technologies do you use to support speed?

We use GPU acceleration, model quantization, caching, and containerized microservices to minimize latency while maximizing throughput.

Can your inference engine work with my mobile app or website?

Yes. We expose models via REST APIs, so your apps can easily consume predictions regardless of platform.

What happens if the model fails or times out?

We build in fallback responses, retries, and error logging, so even in the rare case of failure, your system continues gracefully.

How scalable is this solution?

Very scalable. We deploy on auto-scaling infrastructure so it can handle thousands of requests per second without delays.

Is real-time inference secure?

Yes. We use SSL encryption, token-based authentication, and data masking where needed to ensure all requests and responses are secure.