A Houston-based AI technology company building accountable, auditable AI systems for government and the public interest.
The conversation about AI in government tends to focus on capability — what AI can do, how fast it can go, how much it can process. That conversation is missing something important.
What matters most in public sector AI isn't raw capability. It's accountability. It's whether a caseworker can understand why the system flagged a record. It's whether an oversight body can reconstruct what happened and why. It's whether the people most affected — often the most vulnerable — are being treated consistently and fairly.
Hentex exists to build AI that takes those questions seriously from the start — not as compliance obligations, but as design requirements.
Governance-aware AI isn't a constraint on capability. It's the foundation that makes capability trustworthy enough to actually use in consequential settings.
"We build AI that takes accountability seriously — not as a compliance obligation, but as the thing that makes it actually useful for real decisions that affect real people."
Kent Henry, CEO & Founder
AI strategist and entrepreneur building the next generation of responsible AI for public sector and regulated environments. Focused on the intersection of AI decision support, public service delivery, and algorithmic equity.
Every system Hentex builds starts from governance requirements, not capability aspirations. Human oversight, audit capability, and explainability are design inputs — not add-ons.
Hentex is clear that Eligibility Copilot is an information-to-insight tool, not a predictive decision system. That distinction matters to agencies, oversight bodies, and the public.
Hentex is built for government engagement from day one — SAM.gov registration, CAGE and UEI codes, NAICS alignment, and procurement pathway readiness are not afterthoughts.
Whether you're evaluating AI tools, exploring a teaming arrangement, or interested in AI governance advisory work — we'd like to hear from you.