In a world where data teams are expected to do more with less, we're thrilled to announce the launch of DinoAI v2.0 – our biggest product update yet that transforms how analytics engineering teams work with data.

Watch the full launch livestream on YouTube →

The Problem: Data Teams Under Pressure

Let's face it – data teams are facing challenges from all sides:

• Budgets aren't growing, but data workloads continue to increase

• Analytics engineering has a steep learning curve that doesn't scale beyond a handful of experts

• 80% of data work is rote and low-value – renaming columns, documenting models, writing tests

This creates a painful reality: small teams struggle to meet demands, knowledge doesn't spread across organizations, and too much time gets spent on tedious tasks rather than delivering business value.

Introducing DinoAI v2.0: Cursor for Data Teams

Today, we're changing the game with DinoAI v2.0 – bringing "Cursor for Data" specifically designed for data professionals. While our previous version required you to "ask" for outputs and copy-paste them elsewhere, our new "Code Mode" fundamentally transforms your workflow.

With DinoAI v2.0, you can:

• Generate entire data pipelines with code, documentation, and tests

• Leverage your complete warehouse schema for context (BigQuery, Snowflake, Redshift, Databricks, Clickhouse, Trino and more)

• Work with sensible guardrails that prevent unnecessary queries and resource usage

• Focus on business logic while the AI handles the tedious parts

As our co-founder, Kaustav Mitra, puts it: "DinoAI v2.0 eliminates 99% of your rote work, letting you focus on what's actually valuable for the business."

See It In Action: From Zero to Insights in Minutes

During our launch event, we demonstrated how DinoAI v2.0 transforms the analytics engineering experience. Using Formula One racing data as an example, we showed how you can:

1. Automatically generate source YAML files from your warehouse metadata

2. Create base models with improved column naming for better readability

3. Build intermediate models that join multiple tables with proper formatting

4. Add comprehensive documentation and tests without writing a single line of code

5. Quickly explore insights (like discovering Ferrari's dominance in Australian GP wins)

All of this was accomplished in about 10 minutes – without writing a single line of SQL manually. Watch the full demo on our YouTube channel to see exactly how it works.

What's Coming Next

This is just the beginning. Our roadmap includes:

• Expanding context sources beyond warehouses to include documentation, diagrams, and ticketing systems

• Extending outputs beyond code to dashboards, documents, and column-level lineage

• Adapting the experience to your organization's unique security needs and preferences

Pricing That Makes Sense

We're introducing a new pricing structure that makes AI-powered data development accessible to teams of all sizes:

• Base IDE tier will reduce to $25 per user/month (previously $60)

• Three AI tiers: Spark (for trial users), Flow (for weekly users), and Vibe (for daily users)

• Existing customers: 5 million credits automatically added to your account

Enterprise-Ready

DinoAI v2.0 is built for enterprise adoption:

• SOC 2 Type II certified

• ISO 42001 compliance (in progress)

• Zero data retention agreements with Anthropic

• Complete ownership of all inputs and outputs remains with you

Ready to Transform Your Data Workflow?

DinoAI v2.0 is available in private preview now and will be released to everyone next week. Existing users will automatically receive credits to start experiencing the power of Code Mode.

Don't let your data team get buried under repetitive tasks or become bottlenecked by a shortage of dbt™ experts. With DinoAI v2.0, you can democratize analytics engineering and let your team focus on what truly matters: delivering business insights that drive growth.

Want to see DinoAI v2.0 in action? Start a free trail today!