☸ Your Enterprise Control Center for AI Apps and Agents

AI Pipeline standardizes how your organization inventories, launches, and governs AI apps and agents β€” across teams, tenants, and environments. One control plane instead of dozens of siloed apps.

It answers the question: "How do I get my AI agent/chat/app into production quickly with enterprise controls?"

Start with a few internal agents, then grow into a governed AI platform for your entire enterprise.

Live AI Pipeline Environments

Explore our multi-tenant AI agent deployment environments. Each environment demonstrates production-ready agents for resume screening, face recognition, document processing, and custom AI automation workflows.

✨

Showcase Tenant Demonstration

Demo development environment displaying sample configurations, branding options, and pre-built agents for client presentations.

Open in New Tab β†’
Available Apps and Agents

πŸ” Demo Access Credentials
The live AI Pipeline environments require authentication. Use these demo credentials to explore:

Viewer Access: demo / demo
Admin Access: admin / admin

🧩 AI is everywhere. Control is nowhere.

Shadow AI & Risk

Teams spin up AI apps and agents on their own β€” with no consistent review, logging, or guardrails. Security and compliance are left guessing.

Duplicated Effort

Every group builds its own chatbots, copilots, and automations. No shared patterns, no reusability, and no central understanding of what works.

Zero Observability

Leadership cannot answer basic questions: What agents exist? Who uses them? What data do they touch? Are they actually delivering value?

AI Pipeline turns AI sprawl into an enterprise platform: one control center for every internal AI agent and workflow.

☸ One platform for every internal AI agent

Control Center & Agent Inventory

Catalog every agent in one place. Decide who can see it, who can launch it, and which tenant/runtime it runs in.

Tenant-Isolated Runtimes

Tenant separation by design. Each tenant or business unit gets its own isolated execution environment and data plane.

Unified Observability

Metrics, logs, approvals are enforced centrally β€” so security, risk, and platform teams can finally keep up.


🧱 The AI platform stack, out of the box

1. Orchestration & Guardrails

Standard agent packaging, rollout control, environment configs, and guardrails over models and tools.

2. Enterprise Memory

Per-tenant context (documents, KBs, vector stores, structured data) with configurable retention, residency, and access controls.

3. Tools & Integrations

Connect agents to the systems that matter: ticketing, CRM, HRIS, data warehouses, internal APIs, and more.

4. Evaluation & Observability

Prometheus metrics, Grafana dashboards, feedback loops and workflow-level outcomes so you can prove value, not vibes.


πŸ“ˆ Start with one agent. Grow into an AI platform.

Phase 1 β€” Prove value safely

Launch a small set of high-value internal agents under centralized governance and observability.

Phase 2 β€” Standardize & scale

Onboard more teams, reusing connectors, tools, and policies. AI Pipeline becomes the default way to deploy internal agents.

Phase 3 β€” Vertical suites & ecosystem

Introduce curated agent bundles (HR, Support, Finance) and partner-built agents β€” all governed under the same control center.


🧭 Built for CIOs, CISOs, and Heads of AI

For CIO / Head of Platform

β€’ Standardize AI stack and tooling
β€’ Reduce shadow IT risk
β€’ Provide a clear path from POC to production

For CISO / Risk

β€’ Centralize AI oversight and approvals
β€’ Enforce data boundaries and tenancy
β€’ Keep detailed logs and audit trails

For Head of Data & AI

β€’ Focus on high-value agents, not glue code
β€’ Reuse integrations and runtime patterns
β€’ Compare which agents and workflows actually win


πŸ”— Explore AI Pipeline