Workload-fit evidence
Build a permissioned record of which engine and configuration fit a supported workload, including the cost of preparation and checking.
Customer-specific engineering
Selected product access: CLI · MCP · Headless
Platform teams, optimization integrators and customers operating repeatable portfolios of computational work.
Agree the business requirement, model and outcome before choosing the implementation.
A configuration that helps one domain or host may be a poor choice for another.
Compare compatible paths using the customer’s workload, environment and declared outcome rather than a universal preference.
Unknowns, rejected proofs and overhead are part of the operating economics.
Retain the complete outcome ledger, including budget stops, invalid candidates and unsuccessful configurations.
Customer models and held-out evaluations cannot become training data by default.
Define ownership, isolation, reuse consent and evaluation splits before retaining or learning from records.
The written scope names the inputs, implementation, evidence and handover your team receives.
Original identities, hardware, seeds, budgets, outcome criteria and comparison conditions.
Configuration, useful completion, quality, proof/checking costs and non-success outcomes.
Defaults proposed only within measured scope, with rejected or unpromoted models identified.
Explicit customer permissions, separation of private data and a handover of retained evidence.
Compare direct and routed execution on a fixed, held-out workload set. Keep the existing default when the proposed selector misses its declared target. Illustrative, not a universal learned-policy gain.
Illustration of the engagement, not a live solver or a customer case study.
Agree source identities, splits, outcome measures and authorized data use.
The following inputs and measures guide the proposal and acceptance plan.
Select only what the task needs.
These links do not assert a completed combined integration.
Commission a bounded scope using the existing engineering and licensing options. A $15,000 workload assessment or $30,000 focused sprint may fit a limited first step; neither includes the entire workflow by default. Larger implementation, operated delivery, compute and continuing rights are agreed separately.
This is a customer-specific engagement using selected existing products. The model, adapters, user experience and acceptance work are scoped before delivery. It does not add another underlying product or establish a completed integration.
Yes, where its input, output and operating interfaces fit the agreed scope. A custom adapter may be required. The existing tools do not have to be replaced to qualify one useful component.
Agree the baseline, required result, explicit limits, delivery capacity and acceptance tests before work begins. Existing software rates remain unchanged; engineering already included in a larger scope is not charged twice.
One capability. A connected workflow.
A team to put it into practice.