Federal, state, and local agencies run the services most people actually interact with — benefits eligibility, licensing, inspections, public records, case management, emergency response. Much of that work sits on top of systems that were built before the modern web existed, and that is not a failure of technology leadership. It is the consequence of a different set of obligations: continuity, auditability, and an unwillingness to break things that work.
When we talk to public-sector technology leaders about AI, the conversation is almost never about capability. It is about trust, integration, and procurement. Neuraphic builds with those three constraints in mind.
"The most useful AI work in government is usually not a new system. It is a capability layered onto the systems that already exist."
Integration before replacement
The most useful AI work in government is usually not a new system. It is a capability layered onto the systems that already exist — drafting, classification, search, summarization, case routing — that lets the humans in the loop spend their time on the parts of the work that require judgment. We design our products to be consumable through APIs, queues, and standard integration patterns, rather than requiring a rewrite of the underlying records system.
Our developer tooling, including the CLI and our Workers platform, is built to make that kind of quiet integration work straightforward for the technology teams already inside the agency.
Data sovereignty
Public-sector data is, almost by definition, not a candidate for casual handling. Our canonical architecture keeps model inference and sensitive data on infrastructure the customer controls, with no requirement for outbound calls to Neuraphic-hosted services for core operation. Where an agency prefers a hosted arrangement, we offer one — but it is a choice, not the only path.
For agencies with data residency obligations, this is not a side feature. It is the reason the architecture looks the way it does.
Continuous architecture defense
Operating legacy infrastructure is not a choice for most agencies; it is a mandate. Claeth operates as an autonomous cybersecurity analyst that bridges the gap between modern zero-day threats and legacy deployments. Capable of reasoning about complex networks without requiring outbound internet telemetry, Claeth continuously audits public API gateways and internal record databases, validating security patches against ephemeral shadow twins without disrupting the live mission.
Compliance posture
We are working toward the compliance attestations that matter most for public-sector deployment, including a FedRAMP-aligned posture. We do not claim certifications we do not yet hold. Our Trust Center publishes the current state, what is in progress, and the timeline we are working against. When a program office asks where we stand, the honest answer is also the public answer.
Where specific programs require documented control mappings, we engage with the accreditation team directly rather than handing over a marketing PDF. We have found that serious public-sector buyers want to see the work.
Procurement through standard channels
We are structured to sell through the procurement vehicles public-sector customers actually use, and we work with integrators and prime contractors where that is the right path into a program. We prefer conversations that start with the technical fit and end with the paperwork, rather than the other way around.
Safety, plainly stated
Government users cannot afford AI systems that will embarrass the agency when pressed by an adversarial input. Our safety approach and Responsible Scaling Policy describe the commitments we hold ourselves to, and our defensive AI layer, Prion, is available to harden language-model deployments against prompt injection and related attacks that would otherwise compromise a public-facing system.
Get started
Agency technology leaders, program offices, and integrators can reach us at enterprise@neuraphic.com. We are comfortable engaging under the same non-disclosure practices the rest of the sector uses, and we can start with a technical deep-dive before any commercial discussion.