Solutions
Paradime for Software & AI
Model product usage, sales pipeline, and marketing at the speed you ship software. Use DinoAI agents to work through the data backlog and create PRs for review. Bring your warehouse context into Cursor and Claude.
Add seat-based revenue to the billing usage mart
- Read the issue and the billing models
- Wrote the change on a branch
- Ran the build and tests in TurboCI
Use Cases
What software companies run on Paradime
A data platform that works like the rest of your engineering organization.
Backlog
Automate data work
Use the DinoAI agent on schedule to automatically work through your Linear or Jira backlog and open one PR per issue, and with progress reporting in Slack.
Review
PR review agent
Use DinoAI GitHub Action to run a PR review agent on every pull request. Set up the scope for the agent based on your needs and DinoAI checks your code changes.
CI/CD
Self-healing TurboCI
Build only changed models in a temporary schema with TurboCI. When a check fails, a DinoAI agent fixes the error and raises a PR.
MCP
Warehouse context in Cursor, Claude Code, and Copilot
The Paradime MCP server exposes your warehouse, catalog, lineage, and Bolt pipeline data to any MCP client. All tool calls inherit the same permissions you have on Paradime.
Automate
Trigger agents and pipelines from the API, CLI, or SDK
Trigger agent runs, stream their output, manage schedules, and query lineage from the GraphQL API, Python SDK, or CLI.
Customize
Compatible with skills and rules
DinoAI is compatible with .dinorules, Claude skills, and AGENT.md. Build your own or bring what you've got and DinoAI will take care of the rest.
Customers
Why software companies choose Paradime
Customer.io, Motive, PushPress, and Gigs build their data platforms on Paradime.
“My team's job is data products, not DevOps. The agents handle the rest.”
Prompts
Ask DinoAI to work 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.
Work a GitHub issue to completion
A DinoAI agent runs from a Bolt schedule and picks up the labeled issues. It implements each one with tests and docs and opens one pull request per issue.
Try it in ParadimePick up the open GitHub issues labeled agent-ready in the analytics repo. For each one, implement the requested model with tests and docs, open one PR per issue, and post progress to #data-eng.
Roles
Built for every role in an engineering-led data team
What each role gets out of Paradime and DinoAI.
Data pipelines held to the same review and CI standard as application code
Delivery velocity visible on the Work Dashboard
DinoAI credit allowances per workspace, user, and background agent
One API surface for every workflow, agents included
Trust
Built with zero-trust security
Security, deployment, and access controls that meet enterprise security requirements.
Enterprise security
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.
Deploy in your cloud
Run as managed SaaS, or deploy the Paradime data plane inside your own AWS, GCP, or Azure account with PrivateLink support.
Every agent action on the record
Agent session logs and traces are accessible. Paradime logs every run, change, and DinoAI action, and you can query them through the API. Store run artifacts in your own S3 bucket.
Agents propose, people approve
Agents ship changes as pull requests that run through CI like any other change. Admins manage warehouse access for DinoAI. Monthly credit budgets cap background agents per workspace, user, and agent.
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.
