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How Jeter AI turned compatibility into a live AI matchmaking platform

A patent-pending product built around values, personality and behavior with the right development partner.

Jeter AI uses values, personality and behavior to find stronger matches between people.

Dating tech / AI · Compatibility engine · Tuned against real beta outcomes

Couple walking through a misty field, from the Jeter AI matchmaking product

Dating tech / AI

Industry

100% sprints

on time & on budget

1,500+ hours

zero production downtime

5.0 on Clutch

verified client review

The challenge: turning behavioral signals into compatibility

The challenge: turning behavioral signals into compatibility

The founder had the vision and market knowledge. The challenge was making the compatibility logic work in practice.

  • Engine before interface

    The product depended on reliable compatibility logic beneath the interface.

  • Speed to live users

    The product had to launch quickly enough to start real-world testing.

  • Trust and ownership

    The founder needed full clarity on IP, accountability and handover.

What we built: the engine and the product around it

What we built: the engine and the product around it

Our team built the product end to end, with the compatibility engine grounded in research and tested against real user outcomes.

  • Research-backed matching

    Built the core logic around peer-reviewed psychology.

  • Research gaps covered

    Added supporting studies where the base model fell short.

  • Real-user tuning

    Refined predictions against actual beta outcomes.

  • Demo before commitment

    Built an interactive version before contract signing.

  • Ownership from day one

    Defined IP, portability, exit terms and handover upfront.

The hard part: from human motivation to working matches

The difficult work was translating human motivation into a model that could be tested, explained and improved.

The engine used peer-reviewed psychology, translated into practical matching logic.

Additional studies filled research gaps, covering missing compatibility factors in the core model.

Beta outcomes tested the predictions, helping the team repeatedly refine the model.

The hard part: from human motivation to working matches
The result: a live AI product built to keep evolving

The result: a live AI product built to keep evolving

The compatibility engine shipped inside a live patent-pending product, with the founder retaining full ownership.

  • Patent-pending AI product

    The compatibility engine shipped as part of a working product, which can evolve when needed.

  • Delivered without disruption

    100% of sprints finished on time and on budget across 1,500+ engineering hours with zero downtime.

  • Full product ownership

    The founder retained the IP, code, documentation, and a handover another team could continue from.

“They've been responsive, collaborative, and quick to find a solution.” — Founder, Jeter AI

Source: 6sense HQ

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