Iris: Your AI Analyst for Data-Driven Decisions

By Amit Aggarwal, Jayanth Mysore

Today, we’re launching iris — your AI analyst for smarter, faster business decisions. For business leaders, iris brings data-backed reasoning to every decision. For data teams, it scales the thinking of a top analyst across the entire organization.

Despite billions invested in data tools, most companies still struggle to turn data into impact. Dashboards answer simple questions. BI tools go unused. And in too many rooms, gut instinct still trumps insight.

iris changes that. It moves at the speed of gut instinct — but with the precision of an expert analyst. From healthcare to hospitality, B2C to B2B, teams use iris to drive results across marketing, operations, recruiting, and strategy.

The fundamental bottleneck: Cost of insights

We’re not the first to recognize the problem — or to see AI as the key to bridging the gap between business users and meaningful, data-backed insight. At the core of this challenge is the high cost of generating insights. Every question triggers a complex, costly chain of reasoning, modeling, and engineering — often involving multiple teams and thousands of dollars. As a result, insights are reserved for strategic decisions, while day-to-day choices still run on instinct. To truly democratize data, we don’t need incremental improvements — we need to cut the cost of insight by 1,000x.

iris: Rethinking the stack for 1000x cheaper insights

iris reimagines the shape of the solution. First, it solves business problems and provides actionable insights with a high degree of accuracy. iris accuracy matches that of a seasoned human analyst. Second, iris is the only product that is built with the frontline business user in mind – it is directly usable by a non-technical user without needing to understand the intricacies of data. Finally, iris time to value is less than a day – no complex setup.

At its core, iris combines two critical capabilities: business-grounded reasoning and accuracy enforced by strong data guardrails. It explores data with the flexibility of AI while staying anchored in verifiable truth. This dual requirement — deep reasoning and high accuracy — makes the problem uniquely hard, and one that existing solutions rarely solve well.

To solve this, iris introduces a new kind of business context layer called iris Context — automated (instead of manual), flexible but governed (instead of rigid), and rich in real-world concepts (not just metrics and dimensions). It’s built for AI agents that reason, not dashboards; business context that is changing (instead of static) and insights that are fluid.

This context layer enables iris to reason through business problems — breaking them down, iterating, and synthesizing conclusions. It speaks the language of the business, so users don’t have to translate their needs into data queries. iris brings the analysis to the user — not the other way around.

The context layer plays an important role in delivering a high level of accuracy that is essential for business critical insights. This deterministic application of guardrails to an engine that reasons is the essence of iris' technology.

Finally, iris eliminates the need for expensive, manual modeling — drastically reducing the cost of insights. In fast-moving businesses where data and context constantly change, traditional tools struggle. Every shift in strategy or methodology requires time-consuming updates to models and semantic layers. iris removes this burden. It auto-infers business context in minutes by analyzing metadata and query patterns in your warehouse. As users ask more questions, iris learns and improves, just like a human analyst — continuously adapting as the business evolves.

Text to Sql tools are a non-starter

Text-to-SQL tools built on BI semantic layers or models inside a BI tool don’t reduce the cost of insights. They are based on the assumption that data is static and can be trapped behind effort and time consuming models. They lack the reasoning needed to tackle real business problems that do not have any explicit data intent. These “talk to your data” solutions miss the real issue: business questions rarely start with metrics. They start with goals — like improving ROI, choosing the right blog topic, or optimizing a process. The true gap is between these real-world use cases and the raw data. Closing it requires more than natural language or SQL — it requires the kind of reasoning a skilled analyst would bring. That’s what iris delivers.

The Times They Are a-Changin'

There have been pivotal moments in the history of computing - where the after looked nothing like the before. We are living one - the future of business insights is 1000x cheaper, 1000x faster.  Our customers like Twiddy, Observe.ai, and Veronica Beard are reaping the benefits of economies of speed, getting insights in minutes instead of weeks — at a trivial fraction of the cost. This 1000x reduction doesn’t just speed up decisions; it sparks a cultural shift where data becomes part of everyday work, empowering teams across the board.

Twiddy, a tech-forward vacation rental marketplace, now uses iris across guest and owner services teams, work order operations,  marketing and company wide  strategic planning.  As CEO Ross Twiddy puts it:

"We’ve always believed in the power of data. iris is helping us build a culture where everyone uses it — and speaks the same language."

Welcome to the future of how work will get done! Let’s get you started !