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How Relative Insight uses AI

Three types of intelligence. Each with a specific job. Working together.

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Most AI analytics tools give you one thing: a language model that summarizes your data.

Relative Insight gives you three types of AI, each doing a different job — so that what you discover can be trusted, communicated and acted on.

Deterministic AI

Our analytics engine compares language across datasets to find statistically significant differences.

Generative AI

Once our deterministic engine has identified what's significant, the question becomes: how does that reach the right people?

Agentic AI

Some insights shouldn't wait for a meeting. They should trigger something.

How Relative Insight uses AI

We deploy the right technology during the right part of the insights process to enable you to find, share and act on intelligence.

The foundation: deterministic AI

Every insight Relative Insight produces starts here. Our analytics engine compares language across datasets to find statistically significant differences. For any given input, it produces the same output every time. Always consistent. Always auditable. Always traceable to the underlying data.

Repeatable evidence

Using Deterministic AI means the same inputs always produce the same outputs. With LLMs, the same input yields different outputs.

Auditable

Every result can be traced and recreated. Decisions only happen when stakeholders trust what they’re seeing.

Contextual

Boardrooms, regulators and operational teams don’t act on plausible-sounding narratives — they act on evidence.

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The communicator: generative AI

Once our deterministic engine has identified what’s significant, the question becomes: how does that reach the right people?

Analyst-quality summaries

GenAI translates our statistical findings into clear, readable narratives in seconds, not hours using Accelerator AI.

Communicating insight

We use GenAI to communicate the insight, not produce it. The numbers come from our deterministic engine, the narrative wraps around them.

Grounded evidence

What stakeholders read is fluent and grounded — not one or the other. This is what enables decision makers to act with confidence.

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The operator: agentic AI

Some insights shouldn’t wait for a meeting. They should trigger something. Agentic AI enables Relative Insight to act on what the deterministic engine finds.

Ignition

When specific language patterns appear in customer feedback (churn signals, vulnerability indicators, upsell intent etc), our Ignition module sends a signal directly to your CRM, support platform or marketing tools.

Auditability

The action is auditable because it was triggered by a deterministic metric, not an AI guess. You can always trace why a workflow fired.

Deterministic foundation

This is the critical design choice: agentic AI is only as trustworthy as the system beneath it. Ours is built on a deterministic foundation.

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How they work together

A customer mentions frustration in a survey. Using these three AI technologies, Relative Insight ensures that a signal in your data becomes a business response. Without a meeting. Without a delay. Without guesswork.

Deterministic AI — The deterministic engine identifies this as statistically significant — not just a one-off, but a measurable shift in language.

Generative AI — We then use generative AI to surface the insight in a concise summary to the right stakeholder.

Agentic AI — If your system is configured to use agentic AI, the use of language triggers a follow-up in your retention system — immediately.

Relative Insight applies the right AI at the right moment: deterministic AI to prove it, generative AI to explain it, agentic AI to act on it.

Trusted by global brands

Relative Insight turns employee feedback into something usable. We go from thousands of comments to a clear direction in days – not months.

Miro

Relative Insight helped us transform fan feedback into strategic, actionable insights to elevate the fan experience at all games and events.

Tennesse Titans

It's not only helping us to uncover new insights, but it's actually helping us to be more effective and more efficient in the future.

Deliveroo

We’ve successfully identified what’s driving satisfaction – and dissatisfaction – at our games, enabling targeted changes that matter.

ASU Sun Devil Athletics