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Decision clarity.

Ask any research question. Get a statistically rigorous, data-backed answer you can trust — across internal and external data, automatically.

Step 1

State a hypothesis

Ask any research question in plain English. Agents find the data, map the relationships, and build a knowledge graph — automatically.

Step 2

Agents connect the data

The sources marked “used” fed this analysis — pulled automatically from 104+ built-in integrations. Connect your own CRM, internal APIs, or any data you work with. Agents read the docs, build the pipeline, and start ingesting.

Step 3

Deliver a statistical report

Supported, refuted, or inconclusive — with the methodology to prove it.

Step 4

Translate into action

The math becomes a decision you can act on.

For a homebuilder

Permits are down but demand is still climbing. Secure land and lock in lumber contracts now — the gap will widen before it closes.

For a PE fund

Texas multifamily is undersupplied relative to population inflows. Employment-driven migration makes this a structural thesis, not cyclical.

For a lender

Rate sensitivity is high (r = -0.72). Model scenarios where rates drop 50bps — starts should rebound, creating a lending opportunity window.

Built for the people who make decisions

Not for data scientists. For the executives, managers, and operators who need data-backed answers but don't have the time or team to produce them.

“Is this market actually growing, or are we riding our own momentum?”

— CEO validating a strategic bet

“Why did referrals from this law firm spike? What changed?”

— CMO tracing marketing attribution

“Where should we open the next clinic? What does the data say?”

— Operations Director planning expansion

“Is this company's growth organic, or riding macro tailwinds?”

— PE analyst evaluating a target

Stop making decisions in the dark

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