FoundScript builds infrastructure for AI systems that need greater stability, control and auditability.
As AI systems become more autonomous and interconnected, engineers need better ways to understand behaviour, control execution and audit decision making.
Modern AI systems are increasingly complex. As workflows become longer and more autonomous, failures become harder to predict, diagnose and recover from.
Rather than adding more prompts, retries or orchestration, FoundScript develops infrastructure that improves how AI systems maintain state, execute workloads and determine when workflows are ready to proceed.
Maintain explicit reasoning state across long AI workflows with inspectable transitions, assumptions and repair.
Evaluation roadmap coming soonControl runtime execution to improve stability under load and reduce cascading failures.
Microsoft MarketplaceEvaluate request readiness before LLM, RAG and agent workflows begin.
Product overviewResults shown are from controlled evaluation environments. Independent production validation is ongoing.
Every engagement starts by understanding your environment and the problem you are trying to solve. Depending on the product, evaluations may use a representative sandbox, a customer provided test environment or a staged deployment against a non production workload.
Products are designed to be lightweight and non-invasive. Depending on the product, deployment may be through APIs, sidecars, standalone services or deeper integration where appropriate. Existing systems remain authoritative throughout deployment.
Yes. FoundScript products are designed to complement existing AI models, agent frameworks and production workflows rather than replace them. Integration depends on the product and deployment environment.
No. FoundScript products are designed to complement existing infrastructure rather than replace it. Initial evaluations are intended to minimise operational risk and can typically be rolled back without affecting existing systems.
This depends on the product and environment, but most evaluations begin with a short technical discussion followed by a representative proof of concept or controlled evaluation before any production deployment.
Yes. Controlled evaluation summaries are published where available. Independent production validation continues as products mature, and additional benchmark results are released over time.