Solutions

Paradime for Data Analytics Teams

Build, test, and document dbt™ models in a browser IDE with DinoAI alongside you. Agents handle the docs, the tests, and the review checklist. You ship reviewed changes in minutes. You know which dashboards they affect before you merge.

DinoAI in the Code IDEPriya

Add gross margin to fct_orders

  1. Read the schema and your .dinorules
  2. Wrote the SQL to your organization's rules
  3. Previewed it against production
models/marts/fct_orders.sql
select
order_id, revenue, cogs,
+ revenue - cogs as gross_margin
from {{ ref('int_orders') }}
order_idrevenuecogsgross_margin
10482129.0071.2057.80
1048364.5038.1026.40
10484212.00118.7593.25
1048538.0024.9013.10
1048696.4051.3045.10
10487150.0090.0060.00
Docs written4 tests addedReview passed
Pull request #214ApprovedDocs, tests and review by agents3 dashboards checked

Use Cases

What analytics teams do in Paradime

From the first staging model to the dashboard that depends on it.

Customers

Why analytics teams choose Paradime

Motive, Zeelo, MyTutor, and Mr & Mrs Smith moved their analytics engineering onto one workspace.

“DinoAI has transformed my development process. Having it integrated directly into my development environment means I never have to context-switch, making my coding significantly faster and more efficient.”

Jay Rosenthal
Director of Data Science & Engineering, Motive

Prompts

Ask DinoAI to do the modeling 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.

Ship a marts model from a plain request

In Agent mode, DinoAI inspects the source tables and writes the joins and CTEs as per your organization's rules. It adds tests and drafts the commit and pull request description.

Try it in Paradime

Build a fct_subscriptions marts model from stg_stripe_subscriptions and stg_customers. Follow our naming conventions, add unique and not_null tests on the keys, document every column, and open a PR.

DinoAI

Roles

Built for every role on the analytics team

What each role gets out of Paradime and DinoAI.

Write conventions once in .dinorules or reuse existing Claude skills, and every agent and copilot session follows them

Review pull requests with a structured review and lineage impact attached

Track pull request velocity and review time on the Work Dashboard

Keep DinoAI spend predictable with monthly allowances per user. Paradime never caps interactive Copilot use

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.