Cortexa wraps a changing intelligence core in a calm control layer that screens every request, enforces policy, and returns trustworthy results.
Cortexa is the durable enterprise layer that outlives any individual model subscription. It turns raw model capability into a governed, observable and reliable enterprise system.
Everything production AI needs beyond the model. Each harness pillar has a concrete home in Cortexa rather than being treated as a bolt-on feature.
Maintain working context, memory, and enterprise knowledge so long-running work stays coherent.
Route calls, validate parameters, and connect APIs, tools, databases, and workflows safely.
Apply policy, approval gates, identity context, and risk controls directly in the execution path.
Capture traces, evidence, scoring, and evaluation data so enterprise AI is auditable and measurable.
Route across LLMs, SLMs, providers, and owned models without redesigning the control layer.
Continuously verify execution, detect errors, and ensure the system reaches a reliable completion state.
Cortexa separates configuration and policy from runtime decisioning while keeping governance and reliability structurally embedded.
Context, memory, application configuration, and enterprise controls. Outlives short-lived LLM context windows.
Orchestration, policy injection, routing, and runtime decision controls.
Reasoning, model selection, tool interaction, and enterprise knowledge.
Plugs directly into any approved foundation model without modifying upstream enterprise applications.
M2 Govern applies policy across execution stages while M3.9 Reflector closes the loop.
Simulate an enterprise prompt dislocated across model providers and watch Cortexa enforce policy, inject context, and capture trace evidence in real time.
Agents and AI gateways are important parts of the enterprise AI stack, but neither replaces the cross-cutting control and execution role of an Enterprise Harness.
Agents plan, reason and act toward a goal. The harness provides shared context, policy, tool controls, evidence and reliability around those agents.
Enterprises may deploy dozens of distinct agents. The harness provides consistent controls, memory, and governance intelligence across all of them.
Adds continuous policy enforcement, evidence capture, intelligent model routing, state memory, and outcome verification.
Gateways focus on network traffic, auth, rate limits, and endpoints. The harness extends into context, orchestration, policy, and task completion.
The harness makes real-time decisions based on intent, context, enterprise policy, tool use, risk tolerance, and observed outcomes.
It spans the complete application-to-model-to-tool lifecycle rather than only mediating access to a static model API endpoint.
Context + Memory + Orchestration + Tools + Policy + Governance + Observability + Evaluation + Model Agnosticism + Closed-Loop Reliability.
Cortexa is most relevant where AI interacts with enterprise data, tools, policies, multiple models or regulated workflows.
See how Cortexa sits between enterprise applications, agents, tools, retrieval systems, and any LLM or SLM to provide consistent context, governance, observability, and reliability.