Data Intelligence for Everyone

TL;DR: LLM + Python = Data Superpowers, Smart Datasets + Artifacts = Share those Superpowers with Everyone

LLMs changed how we work with information. ChatGPT and Claude can reason around data in ways that seemed impossible just years ago.

But they're wrapped in environments designed for conversation, not data work. You can analyze a dataset, but you can't install the Python library you actually need. You can build understanding about your data, but that intelligence stays locked in a single conversation thread. You can create insights, but they can't escape the platform to become viral, shareable artifacts that work anywhere. And when you need to unlock sensitive data for sharing, simulate realistic behaviors, or create coherent multi-table datasets from scratch - you're stuck.

We built the MOSTLY AI Assistant around a different idea: take LLM superintelligence and give it an environment designed for data intelligence. 

Real Python sessions where you can install any library you need. A UX built for complex behavioral data, not chat. Datasets that become reusable containers of intelligence - combining your data with context and logic that persists across projects and teammates. Artifacts you can share anywhere that invites exploration, not just consumption. And world-class data generation so you never wait for data again.

Same superintelligence. Better environment.

Here's how we built it differently

1. Work Without Limits

• Install any Python library
• Connect to live data sources
• Use any frontier AI model for analysis
• Sessions don't disappear

2. Create Context-Aware Datasets

• Combine data with context and logic
• Promptable, reusable, collaborative by default
• Remember workflow history across projects
• Connect files, APIs, and databases

3. Share Insights That Spread

• Export as HTML, images, GIFs
• No login required
• Works in Slack, decks, anywhere
• People can explore, not just view

4. Generate Data On Demand

• Synthetic data that acts real
• Mock datasets for testing and demos
• Behavioral simulations
• Privacy-safe, statistically accurate

1. Work Without Limits

The MOSTLY AI Assistant provides a real environment for data work where you can install any Python library, scrape live data, and use any frontier AI model like GPT-4, Claude, or Gemini for analysis. All of this happens inside flexible Python sessions that remember your work, and we built the interface specifically for complex data problems rather than simply chat.

When you upload news headlines, for example, the platform clusters them into topics, tracks trends over time, and finds emerging themes without any manual work.

Or if you want full creative control, you can connect your fitness data and style charts like your favorite book using any Python visualization library to make it look exactly how you want.

2. Datasets That Think

Karpathy, the father of “vibe-coding”, showed how software evolved from code to prompts. We think datasets are evolving in a similar way.

MOSTLY AI datasets are more than raw data. They combine context, logic, and metadata, which makes them promptable, reusable, and collaborative by default. They remember what they're for, connect to live sources, and evolve with your workflow. Because the Assistant understands them, it can generate smarter outputs and artifacts that are easy to share and consume.

The evolution of software from code to weights to prompts:

Source: Software in the era of AI

The evolution of datasets from static files to reusable intelligence.  

3. Share Insights That Spread

Stop sending screenshots. Start sharing live insights.

You can transform any analysis into HTML, images, or GIFs that work anywhere without requiring login or setup. Share them in Slack, paste them in presentations, or embed them in dashboards. Your insights become invitations for others to explore, build together, and keep the conversation going.

As an example, you can build an HTML page that calls real APIs, then share the link so colleagues can test scenarios without installing anything - no backend required.

4. Create Any Data You Need

Never wait for data again.

Generate realistic privacy-safe synthetic data on demand. Run complex behavioral simulations. Create coherent multi-table mock datasets from scratch.

We've led this field for years - our open source TabularARGN model, fair synthetic data, Simulations for Everyone. Published research. Proven in production.

Test ideas safely. Prototype features fast. Share insights without privacy concerns.

Why This Matters

LLMs gave us superintelligence for the first time in history. But wrapping that intelligence in environments designed only for conversation limits what's possible with data.

When you design the environment specifically for data intelligence - real Python sessions, persistent datasets, shareable artifacts, instant data generation - superintelligence becomes accessible to everyone, not just experts. Accountants spotting financial trends, teachers tracking student progress, coaches reviewing player statistics, your grandmother exploring family genealogy data.

It makes data work for humans, turning chaos into intelligence. 

Real solutions for real people living real lives.

Ready to try it? [Get Started]

Assistant Pro Vs ChatGPT Pro Vs Claude Pro