
TeemLush
Shared, evolving long-term memory and knowledge for an organization’s AI agents — including the private context no foundation model or public search can know.
Learn more: TeemLushMemory · Agents · AI-Native Applications
We build the enterprise application layer where AI gains organizational memory, operates real systems, and completes governed work.

Shared, evolving long-term memory and knowledge for an organization’s AI agents — including the private context no foundation model or public search can know.
Learn more: TeemLushA centralized, governed AI agent for packaged, customized, and in-house applications, databases, data warehouses, and other enterprise systems.
Learn more: FleeceTide
The ideal application partner for agentic AI—giving compatible agents a machine-native, governed environment for completing real-world enterprise tasks.
Learn more: SiriusCoreERP, finance, planning, CRM, supply chain, HCM, and other business systems where agents need machine-readable context and governed operations.
Give capable models the memory, durable execution, approvals, error recovery, verification, and audit that general agents often lack.
Build on reusable organizational knowledge, governed execution, application-specific tools, and an AI-native application layer.
Move above raw connectivity with reusable tools, application semantics, skills, controls, validation, and managed execution.
Give any compatible agent an application partner designed for machine operation, identity, permissions, finance, workflow, and audit—so it can complete real-world enterprise tasks.
Human organizations are our customers; AI agents are the primary operators. Machine-readable context, CLI, MCP and REST interfaces, and application-enforced controls come before human workflow conventions.
Our products are self-describing and built so authorized agents can configure, customize, and improve them without depending on a closed, specialist-only application stack.
We design code, tests, documentation, and interfaces so AI can understand and evolve the systems—not simply help humans produce software faster.
