Pick the products. Bring the cloud. Own the stack.
Four products. One foundation. Customer-hosted on your AWS, Azure, or on-prem Kubernetes — designed to deliver substantial total-cost-of-ownership savings versus comparable enterprise AI platforms. See methodology.
Base Platform
FoundationThe foundation every L2H deployment runs on.
Identity, policy, governance, and the orchestration engine. Architected for FedRAMP High, NIST 800-53, IL4–IL6+, and CMMC environments. Every L2H deployment includes it.
- Shared identity, policy, and governance
- GovCloud, on-prem, tactical edge, or air-gapped
- LLM-agnostic — every frontier and self-hosted model
- Complete audit trails for ATO and continuous compliance
Chat
Classified-ready AI chat for analysts and operators.
ChatGPT-grade experience using approved LLMs, deployed inside your security boundary. Multi-tenant with shared project conversations and pluggable Content Block rendering.
- Any LLM — Bedrock, Azure Government, on-prem open-source
- Air-gap and SCIF deployment
- Multi-tenant: org → team → project
- 16 built-in Content Block types + customer renderer SDK
Enterprise Agent
AI inside the systems your team already uses.
Drops AI into ServiceNow, VS Code, and other enterprise systems. Semantic KB search, AI-assisted scripts, live agent handoff. Custom platforms on request.
- ServiceNow Classic, Portal, Workspaces, Employee Center
- VS Code IDE assistant
- 100% benchmarked KB accuracy on 59 tests (top model)
- AI ↔ live agent handoff with full conversation context
Orchestrator
Multi-agent workflow engine.
Visual drag-and-drop builder for multi-agent AI pipelines with real-time observability. Connect any data source via REST or MCP, run on any LLM.
- Multi-agent workflows with auto-sharding
- Foundational node catalog + first-party plugins, extensible via MCP and REST
- Self-describing workflows (JSON Schema discovery)
- Built-in eval framework + observability dashboards
Platform capabilities
Built for production multi-agent AI.
Visual workflow builder
Drag-and-drop with live variable autocomplete, design-time graph validation, and one-click run-the-draft.
Distributed runtime
Cooperative cancellation, scheduled runs, approval gates, and chord-based fan-out.
MCP plugin system
First-party plugins ship in the box, with native MCP and REST extensibility for any system you run. Customer plugins follow the same manifest contract with site-admin approval.
Self-describing workflows
Every workflow exposes input/output JSON Schemas. Discoverable, validatable, callable.
Quick comparison
L2H vs proprietary platforms.
| Capability | L2H | Proprietary platforms |
|---|---|---|
| Total cost of ownership vs comparable enterprise platforms | Substantially lower | Baseline |
| Customer-hosted deployment | — | |
| LLM agnostic (every major provider + any self-hosted) | Partial | |
| Visual workflow builder | Partial | |
| Multi-agent orchestration with auto-sharding | — | |
| Self-describing workflows (JSON Schema) | — | |
| Customer plugin SDK with built-in governance | — | |
| Pluggable Content Block rendering | — | |
| Append-only audit + scoped API keys | Partial | |
| ServiceNow-native AI agent | — |
Cost statement reflects customer-reported total-cost-of-ownership comparisons against displaced enterprise AI platforms; results vary materially by workload, replaced platform, term, deployment region, customer-elected LLM provider, and pilot scope (see cost-savings methodology). Capability comparison summarizes typical capabilities of closed SaaS chat platforms, proprietary agentic platforms, and OSS agent frameworks based on publicly available product documentation and is not specific to any one vendor. See per-product comparisons. All third-party trademarks property of their respective owners.
See L2H in action.
30 minutes with our team. Pick any combination of Base Platform, Chat, Enterprise Agent, and Orchestrator on a real cluster.