Sprinklenet is an AI infrastructure company. We build and operate Knowledge Spaces, a governed multi-LLM platform deployed across federal, defense, financial services, and healthcare environments where compliance, auditability, and security are non-negotiable. We pair the platform with senior AI strategy advisory, fractional Chief AI Officer engagements, and full systems integration. Our team takes platform pilots from kickoff to production in approximately four weeks, in cloud, on-prem, or air-gapped configurations.
Close the gap between AI potential and operational reality by delivering production-grade systems, not slide decks.
Government, defense, financial services, and healthcare: regulated industries where compliance, security, and auditability are non-negotiable.
AI specialists embedded with your team from day one. Pilot to production in approximately four weeks.
Build AI that organizations trust and people actually use. Transparent, explainable, and designed to augment human decision-making.
Our delivery framework is built for organizations that take security, compliance, and auditability seriously. Every engagement follows six interconnected pillars designed for federal agencies, defense organizations, and regulated enterprises.
SAML 2.0 SSO, CAC and PKI authentication, four-tier RBAC, and sixty-four audit event types built into the platform.
Operational enablement so your team owns the AI platform after handoff.
Multi-LLM orchestration across sixteen foundation models with bring-your-own-model and bring-your-own-key support.
Configurable guardrails, prompt-injection prevention, immutable audit logs, and source-cited responses on every interaction.
We evaluate your AI readiness, map governance requirements, and deliver production-ready platforms aligned to your mission, complete with full documentation, audit trails, and transition support. Pilot to production in approximately four weeks.
Our senior team brings deep expertise in strategic consulting, federal systems, production AI engineering, and hands-on accountability across every engagement.
Jamie is the founder and CEO of Sprinklenet. He architected Knowledge Spaces, the multi-LLM AI control layer behind every Sprinklenet engagement. Jamie served as Principal Investigator on AFRL grant FA9550-23-1-0518 (2023 to 2024), validating the measurement and signal analysis frameworks Sprinklenet now deploys in client systems. He serves as fractional Chief AI Officer to enterprise clients across behavioral analytics, intelligence, and federal contracting. Jamie founded Sprinklenet in 2014 and previously founded Pongr in 2008.
Evaluate your AI readiness, identify practical opportunities, and learn how Sprinklenet delivers governed, production-ready AI systems for your organization.
For partner, investor, or analyst inquiries, contact [email protected].
