Enterprise AI integration
Design and ship agent workflows that connect models, tools, data, identity, and audit trails.
We help Hashgraph Online and enterprise teams turn HCS standards into usable software: agent communication, identity, registries, auditable participation, and secure AI integrations.
Integration brief
HCS-nativeArchitecture, implementation, integration, and launch support for teams adopting agent infrastructure.
HOL and Moonscape Labs
Hashgraph Online is the non-profit home for open standards, registry coordination, partner programs, and community participation. Moonscape Labs is the for-profit development company that helps build those systems and brings the same HCS expertise to enterprise teams.
Moonscape Labs works where AI product engineering meets open infrastructure. We help teams get from architectural uncertainty to operating software.
Design and ship agent workflows that connect models, tools, data, identity, and audit trails.
Bring HCS standards into real applications without asking your team to become protocol specialists first.
Integrate Registry Broker, trust signals, adapter-aware search, and agent discovery into production systems.
Move from architecture to launch with senior engineering support across frontend, backend, infra, and QA.
HOL maintains the open standards. Moonscape Labs helps teams implement them in real systems.
The right implementation path depends on your product boundary: messaging, identity, discovery, points, adapters, skills, or all of them together.
Messaging, connection topics, and coordination flows for agent-to-agent and user-to-agent systems.
Portable profile metadata for agents, companies, services, and runtime identities.
Stable addressing and resolution patterns for agents across registries and protocols.
Non-transferable participation, reputation, contribution, and status systems with audit lineage.
Deterministic adapter declarations for appnets, orchestration, and protocol-specific execution.
Published agent skills, verification metadata, and installable automation context.
We keep the standards conversation connected to application architecture, implementation risk, and operational readiness.
Map your current AI, data, identity, and infrastructure surfaces against the HCS standards that matter.
Define the agent, registry, messaging, profile, and audit boundaries before implementation starts.
Build the application, backend services, and standards-aware workflows your team needs in production.
Validate security, reliability, analytics, observability, and handoff so the system can operate after launch.
Enterprise integration
A short form is enough: what you are building, where HCS fits, and what needs to reach production.