![[placeholder] FamilyFund](/_next/static/media/logomark-dark.4d2947be.svg){kind=small}
Case study
[placeholder] Skip the bank, borrow from those you trust
FamilyFund is a crowdfunding platform for friends and family. Allowing users to take personal loans from their network without a traditional financial institution.
AI infrastructure you can trust in production.
We engineer governance-first AI systems: agents, retrieval pipelines, and automation layers designed for operational safety, compliance, and predictable outcomes. Based in Melbourne, FL.
Trusted by forward-thinking companies
Center for Child Counselling
Children's Services Council
Mental Health America of Palm Beach
Palm Health Foundation
Nightcapit
Reliable, auditable systems where AI can be safely trusted
We engineer governance-first AI infrastructure for environments where failure has consequences. Every system is built with data boundaries, audit trails, and deterministic workflows.
![[placeholder] Unseal](/_next/static/media/logomark-dark.73187f97.svg){kind=small}
Case study
[placeholder] Get a hodl of your health
Unseal is the first NFT platform where users can mint and trade NFTs of their own personal health records, allowing them to take control of their data.
![[placeholder] Phobia](/_next/static/media/logomark-dark.00d7d7b3.svg){kind=small}
Case study
[placeholder] Overcome your fears, find your match
Find love in the face of fear — Phobia is a dating app that matches users based on their mutual phobias so they can be scared together.
[placeholder] BeeNex delivered a production-ready system that we can actually trust. Their focus on governance, audit trails, and operational safety set them apart from every other AI vendor we evaluated.
Services - AI infrastructure engineered for control, compliance, and reliability.
We build the control layer between raw AI models and enterprise reality: data boundaries, audit trails, deterministic workflows, and failure containment.
- Autonomous Agents & Control Systems. We build AI agents with deterministic workflows, access controls, and audit trails, so your automation behaves predictably even when models are probabilistic.
- Retrieval & Data Governance. Our retrieval systems enforce data boundaries, controlling what models can and cannot access, while delivering accurate, grounded, auditable answers.
- Platform & Infrastructure Engineering. We design production infrastructure: APIs, cloud platforms, and integration layers, built model-agnostic to avoid vendor lock-in.
- Validation Discovery. Before we price, we earn confidence. Our validation process surfaces ambiguity, defines system boundaries, and ensures both sides understand what success means.