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.
Establish release and operations
Establish release, monitoring, incident response, upgrade, and rollback practices around the selected deployment model so connected capabilities keep running.
Deployment options
Choose deployment around data, network, and operating boundaries.
Deployment determines more than where the system runs. It also defines data control, environment isolation, upgrade cadence, and operational responsibility. Tezign assesses these choices against the enterprise’s actual IT environment rather than imposing one architecture on every customer.
Public cloud
For organizations that want faster activation, continuous platform updates, and elastic scaling, with data access, permissions, and usage scope configured to enterprise requirements.
Hybrid deployment
Keep core data, context, or critical system connections inside enterprise boundaries while using cloud models and services where appropriate, balancing control with flexibility.
Private deployment
Deploy in the enterprise’s private cloud or local data center, adapted to network isolation, data-location, upgrade, and operational requirements for greater control.
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.
Keep AI within enterprise control
Keep data location, network isolation, upgrade cadence, and operational responsibility explicit as new capabilities enter existing security and compliance boundaries.
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 · Agent Development & Runtime
Agent Development & Runtime
Build and orchestrate agents so they can keep working in real operations.
Learn more02GEA OS · Context Organization & Evolution
Context Organization & Evolution
Turn enterprise reality into context that stays usable over time.
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
Which deployment models does Tezign support?
Tezign supports public-cloud, hybrid, or private deployment according to enterprise data, network, security, compliance, and operational requirements. Private deployment can be adapted to an enterprise private cloud or local data center; the final architecture and the locations for data access, processing, storage, and write-back are assessed for each engagement.
03
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.
04
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