Seed State OS starts with a practical question. When only part of a system changes, why repeat every operation? Beyond Brute Force Systems develops retained-state reconstruction for compatible applications and devices.

Keep useful state, identify the required change, reconstruct the affected result, and verify it before the application continues. Here are the measured results, with each comparison kept separate.

In the retained CPU repeat study, compatible state validation used about two thousand, six hundred and sixty-eight times less CPU time than expanded validation. The original study recorded about two thousand, five hundred and forty-eight times. Each used ninety-six fixtures and two thousand, eight hundred and eighty checks per arm. An existing local atlas and receipts remained available. Initial atlas construction was outside this timer.

In the GPU study, one of four thousand and ninety-six tiles changed. The other tiles remained applicable. Updating the changed tile required four thousand and ninety-six times less dispatched logical work. Measured GPU execution was approximately three hundred and fifty-three to three hundred and fifty-four times shorter.

The wider operational GPU update comparison recorded approximately twenty-one to twenty-seven times shorter times, depending on the output contract and repeat. This used warm retained state. Initial construction and the independent full-output evaluator were outside the operational timer. Those costs must be included wherever the deployment requires them.

On the same FPGA, a separate bounded task reduced median engine cycles from two thousand, five hundred and twenty-three to thirteen. That is ninety-nine point four eight percent fewer engine cycles. For this FPGA experiment, timing the task together with communication and verification reduced elapsed time by twenty point nine percent. Communication still occupied much of that measurement. This is one task comparison, not a summary of Seed State OS.

Later Mac software receiver tests measured three point three six to sixteen point one two times shorter warm request and response times across four input conditions, with identical native output values. Those framing, parsing and delivery improvements were measured together. One-off process start and retained-data loading were measured separately. This was a software receiver comparison, rather than an FPGA or electrical-power test.

Reuse can build across requests. More compatible bases in a qualified collection give later inputs more retained structure to use. Previously successful transforms can be nominated again. Retained transforms cut recurring producer cycles by thirty-one point five one percent. A sixteen-slot collection used seventeen point zero one percent fewer resident active cycles than an optimised conventional cache.

In a separate growing-stream study, combining checked-history reuse with route nomination reduced conservative total time by fourteen point seven three percent against size-based selection with repeated history scans. Setup and diagnostics were included. All seven thousand, six hundred and eighty fresh reconstruction checks passed. Every new transition still required fresh permission and validation. The advantage depended on the workload; individual requests did not continually get faster.

For a synthetic versioned-data workload, the archive and state component retained fifty-seven point three percent fewer logical bytes than trained Zstandard, and thirty-seven point nine percent fewer than compacted Borg. Zstandard completed that comparison faster. All nine thousand, two hundred and sixteen fresh reconstruction checks passed. Logical data size and allocated disk space are different measures.

A later optimisation reduced complete pipeline time by twenty point two percent against the preceding Seed component, with unchanged retained data size. It retained fifty-seven point three percent fewer logical bytes than trained Zstandard, while taking forty-one point one percent more time. That gives customers a measured storage and time trade-off.

Correctness stays alongside performance. The GPU study recorded one hundred and twenty exact trial results and refused twenty hostile controls. The FPGA comparison completed two hundred and fifty-six requests with zero wrong outputs. These studies do not combine into one multiplier or establish a whole-device electricity saving.

The opportunity is to find repeated state work in application runtimes, graphics, digital twins, automation or devices. Begin with one valuable operation. Measure the complete workflow on the intended platform, including preparation, checking, reconstruction and fallback.

The proposed licensing route supports application deployments, runtime integrations and device-volume agreements. Agree the scope, evaluate the customer workload, then set the commercial terms around the accepted deployment.

A separate historical model estimated energy savings using assumed workload shares. Its three scenarios gave eighty-nine point seven two, ninety-four point seven one, and ninety-seven point seven one percent. These are conditional estimates from work, timing and byte-avoidance proxies. They include assumed unchanged overhead of ten, five and two percent respectively. They are not electrical measurements or promises for every device.

Seed State OS. Retain useful structure. Focus the work. Verify the result. UK patent application pending. Beyond Brute Force Systems Limited. Bring us a state workload, and let us measure the opportunity.