Why Paradime?
Paradime for Startups
Go from an empty warehouse to tested SQL models in production without hiring a platform engineer. Managed dbt Core™, a browser IDE with DinoAI, scheduling, and CI are ready when you sign up. You pay only for the products you use.
DinoAI in the Code IDE
PriyaBuild staging models for the Stripe tables
- Read the Stripe schema in the warehouse
- Wrote sources and six staging models
- Added tests and opened a pull request
Use Cases
What startups build first with Paradime
The first models, the first schedule, with alerting and self-healing pipelines.
Start
From raw tables to git-tracked metrics in an afternoon
DinoAI reads the schema in your warehouse and writes the sources, staging, and mart models, with docs and tests, in your naming conventions.
Run
Production schedules without a platform hire
Run managed dbt Core™ on a cron, on merge, or from the API with Bolt. Write schedules in the UI, or from Claude Code as YAML in your repo. No orchestration infrastructure to maintain.
CI/CD
CI from the first pull request
Build only the changed models in a temporary schema with TurboCI and get a column-level lineage diff on every pull request.
Self-heal
Self heal a broken pipeline with a pull request
Turn on self-healing per schedule. When a run fails, DinoAI agent reads the logs and opens a fix pull request. All the agent steps are in Slack.
Answer
Answers in Slack for anyone in the company
Colleagues mention @Paradime and ask in plain language. The Slack Agent queries the warehouse through your tested models and answers in the thread.
Cost
Keep the warehouse bill small while you grow
See what each model and user consumes in Radar. A DinoAI agent opens pull requests to fix the expensive SQL.
Customers
Why startups choose Paradime
One workspace for analytics engineering, from the first model to production.
“Amazing product that has now become the one-stop-shop for all things Analytics Engineering for us!”
Prompts
Ask DinoAI to build the first version
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.
Build the first staging layer
In Agent mode, DinoAI reads the warehouse schema and writes sources and staging models with tests and documentation.
Try it in ParadimeCreate sources and staging models for every table in the RAW.STRIPE schema. Follow our naming conventions, add unique and not_null tests on the keys, and document each column.
Roles
Built for a team where everyone wears two hats
What each person gets out of Paradime and DinoAI.
Get a weekly digest of the metrics that moved, posted to Slack
Ask the Slack Agent for a number instead of waiting on a dashboard
Pay only for the products and the developer seats you use
Try the whole platform free for 14 days
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.