Founding design partners

Bring us your experiments. Keep the outcomes hidden.

Similate helps brand, growth, and insights teams decide which message, creative, price, or name deserves live traffic first. We are recruiting a small number of teams to evaluate it against their own past decisions under a strict blind protocol.

Initial private benchmark: no platform fee for selected partners. Ongoing use is paid.

Best fit

Teams with real test velocity

You own a budget tied to high-stakes copy or creative decisions, campaign, pricing, positioning, or naming.
Your team runs measurable A/B or copy tests and logs the winners.
You can share aggregate variant counts and the tested copy.
You are willing to keep some outcomes hidden until our prediction is locked.

What you get

Evidence your team can inspect

A private scorecard across your historical reserved decisions.
A failure analysis showing where the model agrees, abstains, or misses.
A ranked recommendation and objections for your next live decisions.
A data-retention and deletion plan agreed before any upload.

The protocol

Designed to prevent us from grading our own homework.

01

Scope

We choose one decision type, campaign, pricing, positioning, or naming, one primary metric, and a clean evaluation protocol.

02

Reserve

You send aggregate counts in the Similate template: one row per variant. No user-level events are needed.

03

Blind readout

You hold back designated outcomes. We lock recommendations before the answer key is revealed.

04

Operate

We review misses together and use Similate to prioritize upcoming tests. Real traffic remains the arbiter.

Data boundaries

Aggregate outcomes, not user records.

The default input is one row per variant: exposures, conversions, control flag, dates, and optional creative. We do not need emails, device IDs, customer event streams, or payment records.

Private by default

No public case study, logo use, or performance claim without written approval.

No shared model training

The current system does not train model weights on partner data. Any future shared-model use would require separate written agreement.

Versioned evidence

Recommendations are tied to a model version and never pooled across silent model changes.

Live tests decide

Simulation prioritizes what to test. It does not replace causal measurement in real traffic.

Start small

One export. One blind readout. One honest decision.

A useful first conversation covers your test cadence, primary metric, data authority, and which outcomes your team can reserve as a holdout.