Why Paradime?
Paradime for Enterprises
Data quality, data silos, legacy infrastructure, and falling behind on AI are the problems most enterprise data teams bring to us. Paradime puts every team on an AI-ready control plane for data pipelines and agent workflows.
#data-leads
Maya@Paradime which models behind the board report have no tests?
- Traced lineage back from the board report
- Found the models with no tests
- Wrote tests from the real data
Use Cases
The problems enterprises solve with Paradime
Ship production AI agents, migrate out of legacy data pipelines, and deploy governed metrics with data quality tests built-in.
Data Tests
Data tests written from the real data for every metric
DinoAI agents close the gaps in data quality testing with git-tracked, SQL-backed tests on real data. Use TurboCI in Bolt to run QA on every pull request.
Self healing pipelines
Auto-fix data pipelines using DinoAI agents
When a run fails, a DinoAI agent reads the logs, finds the breaking change, and opens a fix pull request for review. Incidents open in PagerDuty, Datadog, incident.io, or New Relic.
Data Catalog
Unified data catalog and lineage for all teams
Link each domain as its own workspace with data mesh support, and follow column-level lineage from the source through dbt™ to Looker, Tableau, or ThoughtSpot. You define metrics once, in code.
Legacy orchestrators
Migrate from legacy platforms like dbt Cloud™
Migrate from dbt Cloud™, legacy orchestration and home-grown tooling. Use DinoAI to handle the migration and convert stored procs, or complex Airflow DAGs or even vanilla Python pipelines.
Tech Debt
Eliminate backlog on auto-pilot using DinoAI agents
Label a Jira, Linear, or GitHub issue for the agent. A DinoAI agent then runs on a schedule, works one ticket at a time, and raises pull requests for engineers to review.
MCP Servers
Use MCP servers to make managed data environments accessible
DinoAI works in the Code IDE, in Slack and Microsoft Teams, and in Claude or Cursor through the MCP server. All API calls run with the user's own role in a governed and audit-ready environment.
Customers
Why enterprises choose Paradime
What data leaders say after moving their teams onto one workspace.
“My team's job is data products, not DevOps. The agents handle the rest.”
Prompts
Ask DinoAI to work through the backlog
DinoAI reads your code base, warehouse schema, run logs, and lineage before it acts. Run these in the Code IDE, from Slack, on a Bolt schedule, or from Claude or Cursor through the MCP server.
Write the missing tests from the real data
Run a DinoAI agent from a Bolt schedule. It profiles each model, writes the tests that are based on recent data, and opens one pull request.
Try it in ParadimeFind the models in the finance mart that have no tests. Profile the real data, add the tests that pass today, and open one PR. Do not commit a test that fails on current data.
Roles
Built for every part of the organization
What each group gets out of Paradime and DinoAI.
Review data quality, pipeline fails, and delivery speed across every team in one view
Give every team the same standards through one .dinorules file and TurboCI
Put agents on the backlog and review their pull requests like anyone else's
Set budgets for warehouse spend and DinoAI credits per workspace and user
Trust
Built with zero-trust security
Security, deployment, and access controls that meet enterprise security requirements.
Certified and controlled
SOC 2 Type II and GDPR. Single sign-on with Okta, Microsoft Entra ID, Google, and JumpCloud. IP allowlisting for the app, API, and CLI.
Your cloud, your keys
Deploy the data plane in your own AWS, GCP, or Azure account. Connect over PrivateLink and reference secrets from AWS Secrets Manager, Azure Key Vault, or GCP Secret Manager.
A record of every change
Audit logs cover every run, configuration change, and DinoAI action, and export through the API. Agent sessions keep a full transcript. Lineage for any reported figure exports to CSV.
Review before production
Nothing reaches production without a reviewed pull request and a passing CI run. Agents cannot merge. Custom roles separate who can develop, who can merge, and who can run. DinoAI's warehouse access is a setting you control.
Join industry leaders winning with DinoAI agents
Data engineers and analysts at the most AI-native startups and enterprises use Paradime's DinoAI agents everyday to become market leaders.