CAMS is now SERAA Cortex. The Covasant Agent Management Suite has joined the SERAA platform. Same product, same roadmap, one name, existing contracts, APIs and deployments are unaffected.

Every agent. Every cloud.
One control plane.

An AI agent is a mission-critical digital asset. It demands lifecycle governance.

Cortex is the operating system for the enterprise agent lifecycle: build, orchestrate, register, monitor. It is vendor-neutral by design, govern agents you built here alongside agents built in Gemini, Azure, AWS or Databricks, without fragmentation and without lock-in.

Book a demo Platform overview

SERAA Cortex, Control Tower, every agent, every cloud

CTO / AI Ops

Agent Execution Log • Live

Agent	Runtime	Model	Status
kyc-doc-verifier	GKE · us-east	gemini-2.5-flash	Running
agentbricks:reg-monitor	AKS · eu-west	gpt-4o-mini	Running
dispute-resolver	EKS · us-west	claude-3.5-sonnet	Awaiting HITL
partner:nova-ontology	Vertex · global	gemini-2.5-pro	Running
portfolio-explainer	GKE · ap-south	gemini-2.5-flash	Running
gemini-ent:onboarding	GKE · us-east	gemini-2.5-pro	Running

Control at a glance

Active Agents

3 Clouds

GKE · AKS · EKS

Connected

$1,420

Total Cost (24h)

99.8%

Policy Compliance

3 Tasks

Awaiting Human Review

Review Gate

Governed at every step · Full audit trail & kill switch active.

Know more about the product Explore Cortex

4Lifecycle modules, plus Test Bench

GKE · AKS · EKSMulti-cloud runtimes

Dev → ProdGoverned promotion with HITL gates

SBACSystem, org and project scoping

The hard part was never building the first agent.

It is the fiftieth. Agents built in silos by different teams on different platforms, with no shared governance, no single catalogue, no lifecycle visibility and no audit trail. That is not an AI problem — it is an operations problem.

PROBLEM 01

Agents appear in business units faster than any central team can inventory them. There is no single catalogue and no way to answer what is running.

Uninventoried Agents

PROBLEM 02

Without mandatory gates, an agent reaches real data because someone was in a hurry, not because it passed a review.

Bypassed Gates

PROBLEM 03

LLM spend arrives as one invoice. Without per-agent, per-model attribution, nobody can tell which agent is expensive or why.

Unattributed LLM Spend

PROBLEM 04

Each hyperscaler wants to be the agent platform. Enterprises end up with several, and no layer that governs across them.

Hyperscaler Lock-in

Build, connect, register, monitor, and evaluate before production.

Four official lifecycle modules, each with its own primary persona, plus the Agent Test Bench tracked separately.

Agent Work Bench — build

AI Developer / Engineer

Build no-code or pro-code agents in one place — persona, base model, system prompt and knowledge base, tested in an integrated playground before anything moves on. Pro-code runs on LangGraph, so business teams ship without waiting for engineering and engineering keeps the escape hatch.

Multi-Agent Orchestration (MAO) — connect

Solutions Architect

Wire agents into multi-step workflows on a visual canvas, with dependency management and error recovery — the coordination layer that turns dozens of individual agents into a process.

Agent Registry — register & govern

Governance Lead / Platform Admin

The org-wide catalogue. Every agent is versioned and governed through Dev → QA → Pre-Prod → Prod gates with mandatory approval — including agents built on Gemini, Azure or AWS.

Agent Control Tower — monitor

AI Operations Manager

Real-time oversight of cost, governance, observability, guardrails and performance. Track LLM spend by agent and model, cap budgets, and kill any misbehaving agent instantly.

Agent Test Bench (ATB) — evaluate

Beta

LLM-as-judge evaluation and digital-twin simulation before an agent touches production. In beta — tracked separately from the four shipped modules rather than folded into the count.

Five surfaces, what each one is for.

SERAA Cortex ships as five surfaces. Agent Work Bench, Agent Registry and Agent Control Tower are also available standalone, so an enterprise can adopt the part that matches its current maturity and expand later. The full feature-by-feature reference — every dashboard, panel and integration — lives in the docs; this is the shape of it.

01 Build Surface

Agent Work Bench

The primary development environment. Technical and business teams create, configure and manage individual agents in one interface, with no-code and pro-code paradigms side by side rather than in separate tools.

SERAA CORTEX · AWB

02 Orchestration

Multi-Agent Orchestration

A drag-and-drop canvas for wiring individual agents into coordinated multi-step pipelines, so a solutions architect designs and deploys a multi-agent workflow without custom engineering.

SERAA CORTEX · MAO

03 Discovery & Record

Agent Registry

The authoritative record of what agents exist, where they are deployed and how they are managed across environments and tenants — including agents nobody on your platform team built.

SERAA CORTEX · REG

04 Production Ops

Agent Control Tower

The production operations centre for every live agent — activity, cost, performance, guardrail enforcement, LLM call logs and policy compliance in one place, regardless of where the agent was built.

SERAA CORTEX · CTR

05 Platform Admin

System Config

The platform-administration surface behind the four lifecycle modules: who exists, what they can reach, which models and runtimes are available, and where the whole thing runs.

SERAA CORTEX · SYS

Standalone adoption

Agent Work Bench, Agent Registry and Agent Control Tower each ship as an independent offering. Build agents without taking the whole suite; govern agents built elsewhere without moving them; or monitor and control production agents regardless of where they were built and deployed. See the full component reference →

One set of protocols, everywhere agents run.

Model Context Protocol (MCP)

Every external tool integration is a standardised MCP server, which is what makes agent-to-service communication secure, auditable and extensible rather than bespoke per tool.

Agent-to-Agent (A2A)

Agents invoke and coordinate with other agents as sub-agents inside a workflow, including agents hosted on third-party platforms.

RAG knowledge bases

Agents are equipped with domain-specific retrieval-augmented generation stores so answers are grounded in your content rather than in model memory.

Runtimes

KubernetesGKE · AKS · EKS

ManagedGCP Agent Engine

Platform hostingGCP · AWS · Azure

Discovery & Orchestration

Gemini EnterpriseDiscover · orchestrate

Azure AI FoundryDiscover · orchestrate

AWS BedrockDiscover · orchestrate

Databricks AgentBricksDiscover · orchestrate

Knowledge Base Stores

GoogleVertex AI Search

MicrosoftAzure AI Search

AmazonKendra · OpenSearch · S3 Vector

DatabricksMosaic AI Vector Search

Open sourceFAISS

SourcesGCS · S3 · BigQuery · SharePoint

From first prompt to live kill switch.

Authenticate

Entra ID or GCP SSO

Build & test

Work Bench playground

Deployment plan, any environment

Promote

Governance gates, HITL approval

Monitor

Cost, logs, kill switch on standby

Authenticate once

Cortex runs in any modern browser. Sign in with your organisation's Entra ID or GCP credentials and move across every module without re-authenticating.

Build and test

Configure persona, model and system prompt, optionally attach a knowledge base, and exercise it in the integrated playground before it sees real data.

Register and plan deployment

Create a deployment plan, choose the target environment — Dev, QA or Production — and deploy the instance. Or register an externally-built agent so it falls under the same governance.

Promote through gates

The Registry's promotion workflow runs next, in order, before the agent advances.

Monitor and intervene

Review dashboard metrics, watch live sessions, investigate LLM logs, set budget caps, tune guardrails. Full cost attribution and compliance reporting out of the box, with a kill switch on standby.

The hyperscaler multiverse is the reality, not the exception.

Most enterprises will run agents on more than one cloud, and most will inherit agents built in tools they did not choose. A governance layer that only governs its own agents governs nothing.

Models

Model-agnostic

Orchestrate across OpenAI, Anthropic, Google, Azure and on-premise models simultaneously. No single point of failure.

Clouds

Cloud-agnostic

Deploy on GKE, AKS or EKS, Cloud Run, Azure Functions, Foundry Agent Service or Gemini Agent Engine.

Runtimes

Plugin runtime

A Plugin SDK extends Cortex to proprietary runtimes, including on-prem and VPC edge.

Governance

Governance as foundation

Role-based access, tenant isolation and an immutable activity audit log, built in from day one rather than retrofitted after the first incident.

Responsible AI

Responsible AI enforcement

Guardrail policies enforce content safety, PII detection and redaction, and GDPR and HIPAA compliance across every deployed agent by default.

A category qualifier, not a moat

We are direct about this internally and will be with you. Vendor neutrality for agent governance has become a baseline expectation — competitors have shipped comparable governance platforms. The durable differentiation sits one layer down, in Axon's data mastering and Synapse's shared memory. Cortex's job is to be the control plane you can actually defend in an audit, not to be the only one that exists.

Bring one agent estate nobody can currently see.

We will show you what governing it actually looks like, catalogue, gates, cost attribution and kill switch, on your own cloud.

Book a Demo

Every agent. Every cloud.One control plane.

Multi-cloud execution monitoring & policy enforcement.