What you can build with Orvanta
From a single scheduled script to a fleet of governed AI agents — six patterns, one platform, your code.
Scripts
Turn any function in TypeScript, Python, Go, Bash or SQL into a deployed endpoint with an auto-generated UI, schedule, webhook and audit trail.
How Orvanta solves it
- Write the script — Orvanta infers parameters, secrets and the UI
- Trigger from a webhook, schedule, queue, CLI or the dashboard
- Capture every run with logs, inputs, outputs and a permalink
- Share with operators who only need a form, not the source code
Internal apps
Replace the bespoke admin dashboards your platform team keeps rebuilding. Wire backend logic, queries and approvals into a real UI in hours, not sprints.
How Orvanta solves it
- Drag-and-drop UI components bound directly to your scripts
- Use the same RBAC, secrets and audit log as your automations
- Embed live data from Postgres, REST, GraphQL or warehouse queries
- Ship to production behind SSO with zero infrastructure to manage
Workflows
Coordinate multi-step processes that span services, teams and humans — with branching, retries, timeouts and approval gates that survive failures.
How Orvanta solves it
- Compose flows visually or as code; both stay in sync
- Branch on results, fan out in parallel, loop over arrays
- Add approval steps with forms, prompts and required approvers
- Restart from any node when something downstream breaks
Data pipelines
Move and transform data on a schedule with built-in error handling, monitoring and idempotency — without standing up Airflow or paying per row.
How Orvanta solves it
- ETL and reverse-ETL across APIs, files, queues and warehouses
- Native Polars and Pandas; stream large objects via S3-compatible storage
- Backfills, retries, dead-letter handling and run history out of the box
- Alert on failure, latency or row-count drift through your existing channels
AI agents
Run AI agents that call your APIs, query your databases and trigger your workflows — under your governance, with any LLM provider and full observability.
How Orvanta solves it
- Bring your own model: OpenAI, Anthropic, Mistral, local — or all of them
- Tools are real Orvanta scripts with typed inputs, secrets and permissions
- Each run executes in an isolated sandbox with a per-agent budget
- Full trace of prompts, tool calls, tokens and cost per execution
Scheduled tasks
Replace ad-hoc cron jobs hidden on a server somewhere. Schedule, monitor and retry background work in one place, with alerts when something goes wrong.
How Orvanta solves it
- Cron expressions, fixed intervals or event-driven triggers
- Per-schedule retries, timeouts and dedicated error handlers
- Pause, resume and run-now from the UI without touching code
- Alert routing on failure, late runs or missed windows