# Sprinklenet

> Sprinklenet provides Technology Advisory, AI governance and policy development, AI engineering and implementation, and the Knowledge Spaces platform for enterprises and government organizations.

Our senior team works alongside leadership and technical teams to define useful applications, connect the required information and systems, evaluate results, and support operation. Each engagement establishes its scope, responsibilities, acceptance criteria, and operating plan.

## Knowledge Spaces

Knowledge Spaces is Sprinklenet's AI governance and knowledge management platform: role-based access, model routing, evaluation, and audit logging. It organizes source material into Spaces and supports configured AI assistants. Applications and integrations are scoped to the buyer's requirements. Public developer documentation describes chat and conversation-session APIs.

## Government Procurement

Sprinklenet holds a GSA Multiple Award Schedule contract for IT professional services and management consulting. Each proposed requirement, including any platform license, needs a contract-scope and ordering review. The Schedule is a procurement credential, not government endorsement or product authorization.

## Company, Services, and Buyer Resources

- [Home](https://sprinklenet.com/): Company overview and access to services, the platform, and buyer resources.
- [About Sprinklenet](https://sprinklenet.com/about/): Company background, leadership, and approach.
- [Technology Advisory](https://sprinklenet.com/technology-advisory/): AI priorities, technology investment decisions, architecture, due diligence, and implementation planning.
- [AI Governance and Policy Services](https://sprinklenet.com/ai-governance-and-policy/): Responsible AI frameworks, AI policy development, use case intake and inventory, risk registers, performance and drift monitoring, and workforce training, aligned to the NIST AI Risk Management Framework and OMB AI guidance.
- [AI Governance Glossary](https://sprinklenet.com/ai-governance-glossary/): Definitions of AI governance terms, including AI inventory, risk register, use case intake, guardrails, audit logs, and human review.
- [AI Integration Services](https://sprinklenet.com/ai-integration-services/): Connecting AI assistants to existing systems, databases, document stores, and APIs.
- [Business Process Consulting](https://sprinklenet.com/business-process-consulting/): Process improvement for high-accountability organizations: current-state process mapping, gap analysis, future-state process design, and implementation roadmaps with KPI frameworks.
- [Custom AI Software Development](https://sprinklenet.com/custom-ai-software-development/): Custom assistants, applications, and dashboards built on Knowledge Spaces.
- [Knowledge Spaces](https://sprinklenet.com/knowledge-spaces/): Sprinklenet's AI governance and knowledge management platform: role-based access, model routing, evaluation, and audit logging.
- [Developer Documentation](https://sprinklenet.com/developers/): Public technical documentation, including chat and conversation-session APIs.
- [Knowledge Spaces OpenAPI Specification](https://raw.githubusercontent.com/SprinklenetAI/knowledge-spaces-api-docs/main/openapi/knowledge-spaces-public.yaml): Machine-readable description of the public developer API.
- [Government Solutions](https://sprinklenet.com/government-solutions/): Government requirements, services, and procurement discussions.
- [Capabilities](https://sprinklenet.com/capabilities/): Government capabilities and procurement information.
- [Compliance Lab](https://sprinklenet.com/compliance-lab/): Public assistants for the Federal Acquisition Regulation, Cost Accounting Standards, and federal spending data, with cited answers.
- [FARbot](https://sprinklenet.com/farbot/): Public Federal Acquisition Regulation assistant with cited answers.
- [AI Demonstrations](https://sprinklenet.com/ai-demos/): Public demonstrations for an initial review using nonconfidential information.
- [AgileBrain Partnership](https://sprinklenet.com/agilebrain/): Motivation measurement from AgileBrain, delivered on Knowledge Spaces.
- [Vendor Due Diligence for AI Implementation Partners](https://sprinklenet.com/vendor-due-diligence-for-ai-implementation-partners/): A buyer checklist for scope, technical evidence, source handling, access, evaluation, integration, operation, and commercial terms.
- [Custom AI vs. SaaS Platforms: A Buyer Framework](https://sprinklenet.com/custom-ai-vs-saas-platforms-a-buyer-framework/): A framework for comparing an AI platform with custom development.
- [AI Governance Is Not Optional: A Practical Framework](https://sprinklenet.com/ai-governance-is-not-optional-a-practical-framework/): Four pillars of enterprise AI governance, common failures, and a 30-day plan.
- [Federal AI Governance: A Practical Agency Roadmap](https://sprinklenet.com/federal-ai-governance-a-practical-agency-roadmap/): A roadmap for federal agencies implementing AI governance: oversight, risk controls, and operational AI systems.
- [AI Governance Roadmap for Mid-Market Enterprises](https://sprinklenet.com/ai-governance-roadmap-for-mid-market-enterprises/): Ownership, inventory, risk tiers, approvals, measurement, and operating controls.
- [Insights](https://sprinklenet.com/insights/): Articles on AI governance, implementation, and federal procurement.
- [Contact](https://sprinklenet.com/contact/): Discuss Technology Advisory, an AI implementation, a Knowledge Spaces evaluation, or a government procurement briefing.

## White Papers and Research

- [Running AI on Regulated Data Without Losing Control](https://sprinklenet.com/knowledge-spaces-security/): Published security information for a requirement-specific technical review.
- [Knowledge Spaces White Paper](https://sprinklenet.com/knowledge-spaces-white-paper/): Platform architecture and how access control, retrieval, and audit logging work.
- [Knowledge Spaces White Paper (PDF)](https://sprinklenet.com/wp-content/uploads/2026/07/Knowledge-Spaces-White-Paper.pdf): The same paper as a downloadable file.
- [White Papers and Research](https://sprinklenet.com/papers/): Index of Sprinklenet white papers and public research.

## Official Company Profiles

- [LinkedIn](https://www.linkedin.com/company/sprinklenet/)
- [X](https://x.com/SprinklenetAI)
- [Facebook](https://www.facebook.com/sprinklenet/)
- [GitHub](https://github.com/SprinklenetAI)
- [Crunchbase](https://www.crunchbase.com/organization/sprinklenet)
- [Wikidata](https://www.wikidata.org/wiki/Q139552507)

## Further Information

The [extended reference](https://sprinklenet.com/llms-full.txt) explains the service model, buyer questions, and scope of these sources. Refer to the linked pages and current engagement documents for details.