Most AI vendors ship models. We engineer the governance, compliance, and operational safety infrastructure that makes AI systems safe to run in production.
BeeNex exists for a simple reason: companies want AI outcomes, but production environments require permissions, auditability, deterministic workflows, and measurable quality. Models alone don't deliver that.
We build the layer that turns AI into a dependable system: data boundaries, evaluation gates, tool permissions, audit trails, and failure containment- so AI behaves like infrastructure, not an experiment.
We are systems engineers who believe AI is infrastructure, not novelty. Control, governance, and predictability are not constraints; they are what make AI safe to deploy.
Javier Sanchez
Founder / Technical Solutions Architect
Thomas Nguyen
Founder / Engineering Lead
Explore how we partner with organizations to build AI infrastructure that delivers measurable outcomes.
Designing and building a full-stack supplement formulation platform - from practitioner onboarding to integrated payments to live manufacturing submission - for a health-tech startup entering a market with no off-the-shelf solution.
Read moreBuilding an internal AI application that connects to Box, Google Drive, and SharePoint to analyze years of historical mini grant data for a philanthropic foundation.
Read more30 minutes. No pitch deck. We'll map your architecture needs and tell you honestly if we're the right fit.
