Sundial Overview

Sundial is an agentic analytics platform that gives every decision-maker a world-class AI analyst, and every data team the accuracy and observability to trust the answers. It works on top of your existing warehouse and LLM tooling, combining the speed of AI with the rigor data teams expect from production systems.

Why Sundial

Getting to self-serve analytics traditionally meant months of modeling data and building dashboards in locked-in BI tools — slow, but reliable. Today, LLMs pointed at your warehouse can answer questions in seconds, but they introduce a new problem: you can't tell how accurate the answers are.

Sundial is built to close that gap. It delivers fast, conversational analytics while telling you how confident it is in every answer — so you know when a result is guaranteed versus directional.

What Sundial does

Sundial acts as a data analyst and engineer for your whole organization. It:

• Audits your data quality and recommends what to capture next.
• Cleans, models, and builds a semantic layer out of your data using natural language.
• Runs deep, context-aware analysis against your warehouse — complex analysis, not just metric look-ups.
• Surfaces what matters, telling you what you need to know even when you don't ask.
• Reports its confidence, so you know when something is guaranteed or directional.
• Meets you where you work — Slack, Teams, and other interfaces — and evolves its context at the pace of your business.

The Sundial AI platform

Sundial is organized into three layers that work together in a continuous feedback loop:

• Context layer — captures business context, domain knowledge, semantics, and your company's analytical model so agents reason the way your team does.
• Agents — a set of specialized agents that operate on top of that context:
  • Quality Agent validates your data and recommends what to capture next.
  • Modeling Agent transforms raw tables into clean, analysis-ready pipelines.
  • Analysis Agent runs context-aware analysis against your warehouse using expert playbooks.
  • Storytelling Agent distills analysis into narratives and recommendations.
• Interface layer — the surfaces where you interact with Sundial and where insights are delivered.

Built for trust

Sundial is designed to be trustworthy in production:

• Expert playbooks encode methodological, repeatable analysis written by domain experts — not naive, one-off LLM output.
• Observability and governance keep every step transparent and auditable.
• Evals ensure consistent rigor over time.
• Data stays in your environment — Sundial is self-hostable, so your data never has to leave your premises.

Security and support

• SOC 2 Type II certified, HIPAA compliant, and self-hostable.
• An applied AI team of former data leaders helps set up your metrics, playbooks, and context in the first 30 days — so you're never left to figure it out alone.

Where to go next

• Connecting your data — connect your warehouse and data sources.
• Preparing data for integration — get your data analysis-ready.
• Transforming your data — build pipelines and views.
• Modeling your data — model your tables as dimensions and measures.
• Self-Hosted Deployment — deploy Sundial inside your own cloud account.

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