Connect existing data and systems
Connect enterprise content, applications, tools, workflows, and state changes through APIs, MCP, and events.
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Production Readiness
Enterprise Integration & Deployment
Connect existing systems. Deploy on enterprise terms.
Connect existing enterprise data, models, tools, and business systems through open interfaces and standard protocols, with private, hybrid, or public-cloud deployment aligned to security, compliance, and IT requirements.
How It Works
From open connectivity to deployment that fits the enterprise.
Connect existing enterprise systems and capabilities first, then choose a deployment model that fits data, security, compliance, and operational boundaries—without forcing the enterprise to start over.
Integrate models, tools, and agents
Use open interfaces, A2A, and versioned protocols for capability discovery, invocation, collaboration, and failure handling.
Package reusable integration capabilities
Package data access, system actions, and failure handling into bounded, maintainable, and verifiable capability contracts.
Deploy to enterprise boundaries
Choose private, hybrid, or public-cloud deployment according to data, security, compliance, and operational needs.
Enterprise Value
Bring new capabilities into existing systems—not another silo.
Preserve existing technology investments
Connect existing data, models, tools, and systems so agents enter current business processes instead of creating another silo.
Fit real enterprise deployment requirements
Choose the deployment model around data location, network, security, compliance, and operations rather than forcing one architecture on every enterprise.
Adapt as enterprise systems change
Keep connections and skills maintainable and verifiable so the system can evolve as models, interfaces, and business processes change.
Validation & Guardrails
Integration must remain governable and adaptable.
Enterprise systems, permissions, and models keep changing. Connections, skills, context, and evaluations must remain maintainable assets and undergo regression after change.
How We Measure
01
Connection success
02
Cross-system task completion
03
Capability-contract regression
04
Post-change regression pass rate
Boundaries & Guardrails
Explicit data boundaries
Define where data is accessed, processed, stored, and written back instead of applying one deployment model everywhere.
Regression after change
Revalidate consequential tasks and skills after interfaces, permissions, or business workflows change.
Fault isolation and rollback
Monitor, rate-limit, and version connectors and skills independently so external failures are contained and execution can return to a validated version.
Connected Technology
Every capability,working as one system.
01
GEA OS
Long-Horizon Agent Runtime
Keep work moving toward long-horizon goals and outcomes.
Learn more02GEA OS
Context System
Turn multimodal content, business state, and enterprise judgment into context for continuous agent action.
Learn more03Production Readiness
Security & Governance
Keep every action within identity, access, and accountability boundaries.
Learn moreTechnical questions
Understand the mechanism, boundaries, and production requirements.
01
What roles do APIs, MCP, A2A, and Agent Skills play?
APIs provide system capabilities, MCP exposes tools and resources through a standard interface, A2A supports capability discovery, handoffs, and collaboration between agents, and Agent Skills package business intent, inputs, outputs, permissions, operating boundaries, and failure handling. Together they form interoperability contracts rather than replace one another.
02
How do agent tasks survive changes to existing systems or interfaces?
Connectors and skills require versioning, contract tests, and regression of critical tasks. Changes to inputs, outputs, permissions, and exception handling are validated before a staged switch so infrastructure changes do not silently break production work.
03
Where should an enterprise integration project begin?
Start with a task that has clear value, bounded systems, and measurable outcomes. Define the data to read, actions to permit, identity and access, and write-back location, then integrate within a limited scope and expand only after critical-task regression passes.
Ready when you are