Solutions
Paradime Data Platform Teams
Run ingestion and dbt™ jobs. DinoAI agents handle failures and repetitive work. Keep your warehouse spend under control. Replace your scheduler, CI setup, and monitoring tools with one workspace.
#data-alerts
Paradimenightly_build failed at 04:00 on stg_payments.
- Read the logs and the recent commits
- Opened a fix, checked by TurboCI
- Retried from the failed model
Use Cases
What platform teams do with Paradime
The jobs a platform team does, and the agents that do the repetitive ones for you.
Orchestrate
Schedule pipelines as code
Define Bolt schedules as YAML in your repo. Trigger on a cron, on merge, after another schedule, or from the API. Turn any schedule into a self-healing pipeline.
Self-heal
Auto-fix broken jobs
Turn on self-healing for any schedule. A DinoAI agent reads the failed run and opens a pull request. If a fix is already waiting for review, it does not open a second one.
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.
Incidents
Incident agent squad
Create a command agent that starts sub-agents to analyze logs, profile queries, and send notifications. The agent then posts to Slack.
Migrate
Migrate from legacy tech
Run DinoAI agents that convert legacy orchestration jobs or dbt Cloud™ schedules into Paradime Bolt schedules.
Cost
Monitor warehouse costs
Use Radar to track Snowflake and BigQuery spend by warehouse, user, and dbt™ model. Monthly budgets alert at 80% and 100%.
Customers
Why platform teams choose Paradime
Teams that consolidated their scheduler, CI, and monitoring onto one workspace.
“Amazing product that has now become the one-stop-shop for all things Analytics Engineering for us!”
Prompts
Ask DinoAI to do the platform work
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.
Find the root cause of last night's failed run
Mention the @Paradime bot in the alert thread. The Slack Agent reads the Bolt run logs and traces the failing model to the upstream change. It then opens a fix pull request for review.
Try it in ParadimeThe nightly production schedule failed on fct_orders at 2:14am. Read the run logs, find the root cause, show me the upstream change that introduced it, and open a fix PR.
Roles
Built for every role on the platform team
What each role gets out of Paradime and DinoAI.
See run health, cost, and delivery speed across every workspace in one view
Set monthly warehouse budgets and monthly DinoAI credit allowances per workspace and user
Enforce standards with pre-commit hooks, TurboCI, and a .dinorules file every agent reads
Read every agent session transcript and audit log entry from one place
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.