Improve While
You Sleep.

AI that tests, measures, and improves while you sleep

In every organisation, there are dozens of parameters that affect efficiency: process thresholds, service intervals, stock levels, pricing rules, reorder points, staffing ratios. These were typically set once - during setup or based on a vendor's default - and nobody has had time to systematically test whether they're optimal. The difference between "good enough" and "optimal" is often 10-30% in throughput, cost, or quality - but finding that improvement requires hundreds of controlled experiments that no human team has bandwidth to run.

KFactory's Autonomous Optimisation agents follow a simple but powerful pattern: read current performance, propose a small change, measure the result, and decide - keep the improvement or revert to the previous best. This ratcheting mechanism guarantees that performance can only go up, never down. Unlike copilots that assist humans, autonomous agents deliver compounding improvements - each cycle makes the system smarter, and gains accumulate over time. Agents operate within strict boundaries you define - minimum and maximum values for every parameter, maximum change per step, and mandatory measurement periods. Every experiment is logged with full traceability: what was changed, what was measured, what was decided, and why.

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What autonomous optimisation delivers