Enterprise-grade infrastructure for AI agents — so mid-sized teams can deploy and scale agents that work in production, not just in demos. Built around versionable skills, a Connection Gateway that handles credentials and RBAC, and a marketplace of vetted vertical packages.
The platform lets companies of 50 to 500 people put AI agents into production without building their own infrastructure first. At its core sits a four-layer architecture — tools, skills, agents and meta-agents — running on a single Connection Gateway. The gateway solves the hardest problem of corporate AI: secure handling of credentials and access rights in a multi-tenant environment, so an agent can act on behalf of one user, one team or one customer without ever crossing the boundary into another’s data.
Around that core sits the marketplace of skills — from free community packages to premium vertical bundles for specific business domains. Teams pick the skills their agents need, configure who’s allowed to invoke what, and ship to production in days rather than months.
Unlike visual no-code builders, AI Marketplace is built around versionable, testable and reusable skills. Each skill describes its logic as code — with invariants, output contracts and known limitations explicitly declared. That means an agent built on these skills behaves the same way under load as it did in development, and a regression in skill v3.2 doesn’t silently break a customer-facing flow built on top of it.
The same approach makes agents portable across language models. The Connection Gateway, the skills layer and the audit trail are LLM-agnostic — if a better model ships next quarter, you swap it without rewriting your agents. That decoupling matters more every six months.
The capabilities that turn AI agents from demonstrations into reliable, governed production systems.
Tools, skills, agents and meta-agents — each layer with its own contract, so logic can be reused, versioned and replaced without rebuilding the whole stack.
Secure credential and access management for multi-tenant deployments. The single piece of infrastructure that lets an agent act safely on behalf of a user, team or tenant.
Versionable, testable, reusable. Each skill ships with invariants, output contracts and declared limitations — so agents behave predictably under real production load.
Authenticate at company, user or combined level. Role-based access control on every skill and every connection — so security teams can ship policy, not exceptions.
Every action an agent takes is logged — who, what, when, on whose behalf. Strict tenant isolation by default, so one customer’s data never leaks into another’s context.
From free community packages to premium vertical bundles for specific business domains. Pick what you need, configure access, ship in days. LLM-agnostic by design.
AI Marketplace is built for product and operations teams in B2B SaaS, manufacturing and professional services — the contexts where AI agents have to work with sensitive data under the watch of security and compliance functions. The gateway, RBAC model and audit trail give those functions something concrete to review and approve, instead of a black box and a vendor pitch.
The result is the gap most companies struggle to cross: from an interesting AI demo on someone’s laptop to a governed, observable, replaceable component of the production stack. Time to first agent in production is days, not quarters — and the second, third and tenth agent build on the same infrastructure, not a new one each time.
The team will set up a sandbox tenant, plug in two of your data sources and pair you with a named contact from the product side. No commitment, no “discovery call” first.
