Core runtime
A structured execution layer for agents, tools, memory, policies, retries, and task state.
ourocat
We build practical LLM applications and dependable agent framework infrastructure for teams moving AI systems into real workflows.
Agent runtime
LiveLLM apps
Ready
01
Composable agent framework
02
LLM application development
03
Applied AI delivery for business workflows
Agent framework
Build AI agents that are observable, tool-aware, and ready for production use.
Tool orchestration
Connect internal systems, product tools, data sources, and approval loops through controlled interfaces.
Operational visibility
Trace decisions, inspect runs, compare outputs, and improve agent reliability with measurable signals.
LLM applications
Design, build, and refine LLM products around real operating needs.
Ourocat helps teams turn language models into useful applications: copilots, workflow agents, retrieval systems, internal assistants, and domain-specific automation.
Layer 01
Domain context
Map user tasks, data boundaries, permissions, and evaluation goals.
Layer 02
Agent behavior
Define tools, state, memory, guardrails, and escalation paths.
Layer 03
Production loop
Measure output quality, improve prompts, and deploy controlled updates.
How we work
AI systems should be accountable, maintainable, and useful under everyday constraints.
Applied first
We focus on systems that reduce production friction, improve decision speed, and fit existing team workflows.
Human control
Agentic automation should expose intent, options, and tradeoffs instead of hiding judgment inside a black box.
Built to iterate
Our products support evaluation, feedback, and rapid refinement from prototype through operational deployment.
Contact
Building LLM applications or agent infrastructure?
Talk with Ourocat about product partnerships, applied LLM systems, and agent framework development.