Access
Who may start, approve, or view the work?
Pontivus Platform
AI products need an execution foundation.
Pontivus provides the platform around the model: stateful workflow execution, authorization, service boundaries, human control, failure handling, and operational evidence.
Why a platform
A model can produce an answer. It cannot run the whole process.
Real work needs control around the model.
State
What has happened, and what step comes next?
Boundaries
Which data and services may the workflow use?
Human control
Where must a person review, correct, or decide?
Failure behavior
What happens when a provider or step fails?
Evidence
What can an operator inspect after execution?
Platform boundary
The product supplies the meaning. Pontivus supplies the machinery.
The reusable runtime stays separate from product-specific policy and domain behavior.
Pontivus platform
Runtime startup, workflow execution, typed state, service protocols, transport, lifecycle, and observability.
Product built on Pontivus
Domain models, workflow meaning, authorization policy, integrations, interface, and interpretation of results.
Related product
From low code platform to agentic AI execution
Eezze.io is a separate low-code platform. Pontivus is the natural progression: a reusable execution platform for hosting and running agentic AI products.
Business ontology and workflow
Define what information means. Control what happens next.
Give information business meaning
Each product defines the concepts, relationships, evidence, and decisions used to interpret incoming information.
Use that meaning to shape the outcome
Those definitions determine what the workflow can identify, decide, and produce.
Let AI interpret within the model
AI evaluates customer questions and source material against the product’s business model at defined stages.
Keep every next step explicit
The workflow selects the next analysis, service call, approval, or review; AI does not invent the route.
Check and preserve the result
Required evidence and output checks must pass before publication, with the findings and basis retained for review.
Security and deployment
Separate product boundaries. Encrypted data paths. High-availability infrastructure.
A separate boundary for every project
Development and production use separate deployment configurations. Each project runs in its own Kubernetes namespace, with network policies cordoning off access so one project cannot reach another over the network.
Project-specific data and messaging
Each project has its own database on the three-node PostgreSQL HA cluster and its own message subjects/topics. Other projects cannot read those project-specific data paths.
Encrypted from interface to storage
The React/TypeScript UI is hosted on Cloudflare Pages and connects to the API over HTTPS. Internal communication and PostgreSQL connections use SSL/TLS. PostgreSQL data and Hetzner S3-compatible object storage are encrypted.
High-availability execution layer
The API runs on a three-node HA K3s cluster in Germany, with PostgreSQL on a three-node HA cluster. Application execution and persistent data are held on clustered infrastructure rather than a single node.
Operations
When work runs, its state is inspectable.
Failures and progress remain visible to the systems responsible for operating the product.
Observable execution
Workflow lifecycle events, status, structured logs, metrics, traces, provider failures, and result records are emitted.
Explicit failure handling
Required dependencies, authorization, workflow output, provider failures, and exceptions are handled as defined states—not silent success.
Built on Pontivus
Pontivus Legal is built on this foundation.
Pontivus Legal supplies the legal domain models, workflows, policies, permissions, interface, and product experience on top of Pontivus.