Quantum-Core™
The Intelligence Layer Behind the Future of Software Delivery
Stop debugging blindly. Start diagnosing with AI built for CI/CD.
Quantum-Core™ finds the signal in the mess—using a fusion of specialized AI models trained to do one thing: identify and fix post-commit failures accurately.
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What is Quantum-Core™?
A proprietary fusion engine that blends the strengths of frontier and compact LLMs—custom-architected for high-stakes, high-scale enterprise use cases.
No more hit and trial with generic chatbots. It understands what failed- and routes each part of your CI noise to an AI that's actually trained for the job:
- Stack traces? Sent to a trace-parsing model
- Screenshots? Handled by a visual regression agent
- Flaky tests? Evaluated by a pattern-trained flakiness detector
Each issue is classified, broken down, analyzed, and explained automatically. You get root-cause insight, not vague summaries.
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How Quantum-Core™? Works
Every prompt is processed by our lightweight T5-based task classifier, which tags it with one of 42 QA-specific skills. Then:
Tasks are broken into atomic subtasks that can be handled independently
Each subtask is assigned to a model trained (or fine-tuned) for that domain
All subtasks are executed in parallel across a multi-LLM agent pool (GPT-4o, Claude 3.5, Gemini 2.5, Mistral, etc)
Responses are fused using Reciprocal Rank Fusion—a ranking algorithm optimized for confidence and consensus
Why Quantum-Core™? Matters
You’ve seen AI code copilots. Some help you write code faster. Others summarize things, or automate a step here and there. But when you’re responsible for shipping software—cleanly, confidently, repeatedly—that’s not enough.
Quantum-Core™ changes that with features like:
Precision from large-scale models
Speed and cost-efficiency from compact models
Real-time adaptability across tools and workflows
A proprietary inference splitter and memory engine
Built For Teams That Can’t Afford to Guess
Quantum-Core™ is fast, cost-aware, and equipped with a fine-tuned layer that tackles regressions that slow teams down. It’s not just a copilot—it’s a fault-finder with real skills. Especially valuable if you're a:
QA lead drowning in CI failures
Release manager overseeing regressions
Product owner looking for confidence before a push
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