The accumulating spec behind every Spark engagement.
SparkOS is the reusable operating-layer pattern we keep refining: primitives, schemas, agent contracts, approval gates, eval suites, and handover conventions. It is not a SaaS product. It is the system we build into clients.
SparkOS is the kernel we build into every engagement.
An owned, inspectable stack. Every layer is something your team can read, version, and extend. No vendor owns your company's decision logic — you do.
What Spark builds into your company.
Memory
A durable, structured record of what your company knows, decides, and remembers. Not a chat log — a system of record for intelligence.
Workflows
Explicit, executable representations of how work moves through your business. Versioned. Forkable. Inspectable end-to-end.
Agent instructions
The system prompts, tool grants, and policy boundaries that define how each agent behaves on your behalf. Composable. Reviewable.
Approvals
Human-in-the-loop gates with clear scope, signers, and timeouts. The governed surface where machines defer to people.
Schemas
Typed, validated structures for every business object — customers, contracts, runs, decisions. Truth lives here.
Tool connectors
Thin, owned adapters into the SaaS you keep. Tools become invokable instruments — never the source of truth.
Evaluations
Continuous measurement of every agent, workflow, and decision. Production telemetry for your operating layer.
Governance
Permissions, audit, drift detection. The seams between your company's intelligence and the rest of the world.
Company intelligence at the center. Humans, agents, and tools in orbit.
Stop renting your company's intelligence.
Your business is already a codebase. Spark makes it explicit, executable, and owned. Start with the €5,000 Foundation Track — a fixed-scope diagnostic that ends with your Spark Map and a clear next step. With or without us.