Four ways to engage with Synaptosearch — depending on who you are and what you need.
InnerMatch and the GASAI framework represent novel IP at the intersection of cognitive science and production AI — a combination that is rare and not easily replicated.
InnerMatch solves the matching problem in a fundamentally different way: by learning feature interactions rather than measuring feature distances. This approach is domain-agnostic, data-efficient, and handles the cold-start problem that limits existing solutions.
The underlying research — Potentia Monism, Representational Cognitive Modeling, Interbrain Synchrony — provides a defensible intellectual foundation for the technology claims.
We are based in Amsterdam and work internationally. Investment conversations are open to parties based in Iran, the USA, Israel-Palestine, and beyond.
Investor Inquiry →SaaS · REST API · On-Premise · Developer Library · Revenue-sharing partnerships with existing platforms
We are open to collaboration on all active research projects — and to starting new ones where there is a genuine disciplinary bridge to build.
We translate across disciplines. If you are working in neuroscience, linguistics, philosophy, AI, or data science and see a connection to our work, we want to hear from you. The most interesting results come from combinations that journals don't yet have a category for.
Joint research projects · Co-authorship · Dataset sharing · Method exchange · Guest involvement in experiments · Advisory roles
InnerMatch is available as a REST API, developer library, and SaaS platform — designed for rapid integration into any application stack.
Pay-per-use pricing, full documentation, and direct support from the team. We are open to international contributors and interested in partnerships with platforms that want to embed adaptive matching into their product.
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