ContextAction
ONE JOBAgent
Bounded scope
Focused agents
One agent, one defined job. Built into a product or connected to the tools needed to complete the work.
AGENTIC AI COMPANY
Agents that work.Infrastructure that holds.
Operivora builds AI agents and the systems around them, connecting models to products, tools, data, memory, permissions, and control.
Focused implementationEnterprise infrastructure
THE SYSTEM AROUND THE MODEL
An agent needs somewhere to operate.
A useful agent needs more than a prompt. It needs access to the right context, clear action boundaries, reliable integrations, and a way to recover when the work does not go as planned.
OPERATING ENVELOPESystem cutaway / 01
Runtime available
CONTEXT DECK
Product stateBusiness dataKnowledge
MODELReasoning engine
AGENT RUNTIMEUnderstand · decide · coordinate
Working memoryTask state
ACTION INTERFACES
Typed toolsAPIsWorkflows
ONE CAPABILITY, DIFFERENT SCALES
Start with the system the work requires.
Some problems need a focused agent. Others need shared infrastructure across teams and products. We design for the required level of complexity, not the largest possible build.
01Input
02Enrich
03Decide
04Act
Connected systems
Agents coordinate across data, software, workflow logic, and approvals to carry work through multiple steps.
Agent 01Agent 02Agent 03
SHARED CONTROL PLANEIdentity · Memory · Policy
EvaluationObservability
Agent infrastructure
Shared foundations for identity, memory, permissions, observability, governance, and multi-agent operation.
AUTONOMY WITH BOUNDARIES
Control is part of the architecture.
An agent can act independently, request approval, work beside a person, or escalate a decision. The right mode depends on risk, reliability, and the operation itself.
01
Access
Authentication, permissions, and bounded tool use
02
Context
Business data, product state, knowledge, and memory
03
Execution
Workflow logic, APIs, approvals, and escalation
04
Control
Evaluation, logs, monitoring, and failure recovery
ARCHITECTURE INDEX
Inside the systems we engineer.
Examine the runtime, integration, execution, and control layers behind product agents, cross-system workflows, and governed agent environments.
Explore architecturesSTART WITH THE WORK
What should your agents be able to do?
Bring a product idea, workflow, or infrastructure problem. We will help define the right system and the controls it needs.
Discuss a system