Built from the ground up for telecom and technology enterprises.
Enterprise AI Agent initiatives stall in three places. Some agents are never built at all, others are built and then never trusted into production. A third group reaches production and is later pulled back out.
Synapt Agent Hub is a catalog and control plane for end-to-end, enterprise-grade agent lifecycle management . Spins up on-demand agent prototypes to support solutioning and customer conversations, drawing directly from the live catalog.
Built on four foundations
A registry of 250+ AI agents, capturing their capabilities, workflows, integrations, context, KPIs, and token budget — abstracted from implementation.
250+ agentic workflows combining AI agents and systems with automations and human personas to solve specific use cases.
Review, approval and version publishing, with the autonomy level and any human-in-the-loop commitment set per agent in the manifest. Audit trails follow the agent through its lifecycle.
Agent performance tracking, confidence scoring, anomaly alerts and sidecar monitoring, with telemetry returning from target platform.
Tiered model routing, prompt caching, context distillation, semantic caching, budget controls and cost attribution. A token budget can be declared in the manifest today.
Structure agent identity, intent, and boundaries via manifest.
Apply compliance, ownership, and readiness controls by default.
Bundle agents for reuse and scale across environments.
Deploy into the platforms you run today, with more added as adapters ship.
Get back insights on what agents actually did, which governance buyers ask about first.
Version control tracks changes to the file. Approval, packaging for a target platform, and control over which version a live workflow picks up all sit outside it, and that gap is addressed by Agent Hub.
Agent Hub governs the definition of an agent, while execution stays on the platform that runs it. Every agent is authored as a manifest holding its identity, purpose, permitted and prohibited actions, the systems it may call, its autonomy level, how success is measured, and what it is allowed to spend.
Every agent defined through Agent Hub is catalogued with its capabilities, owner and constraints. The catalog holds what was defined through it.
Marketing, sales, quoting, care, and billing across every customer touchpoint.
View all agents →Plan, provision, activate, and assure services across the partner ecosystem.
View all agents →Plan, build, operate, and modernize the network at scale.
View all agents →What this enables
Faster deployment with control. Pre-packaged agents and governed workflows compress time from intent to deployed outcome.
Higher reuse across ecosystems reduces duplication and cost. A catalog-first model ensures every agent built once can be deployed everywhere it fits.
Lower scaling and governance risk with structured controls by default. Manifest-driven governance and federated deployment eliminate the compliance debt of ad-hoc builds.
Spend stays visible and in check as usage scales. Tiered model routing, semantic caching, and cost attribution turn agent spend from a blind spot into a managed line item.
Faster deployment with control. Pre-packaged agents and governed workflows compress time from intent to deployed outcome.
Higher reuse across ecosystems reduces duplication and cost. A catalog-first model ensures every agent built once can be deployed everywhere it fits.
Lower scaling and governance risk with structured controls by default. Manifest-driven governance and federated deployment eliminate the compliance debt of ad-hoc builds.
Spend stays visible and in check as usage scales. Tiered model routing, semantic caching, and cost attribution turn agent spend from a blind spot into a managed line item.
Define once. Review it, version it, run it on the platforms you already have.
Tell us the use case. We'll find the right agent and get you to production fast.