# Sprinklenet - Complete Site Reference

> This file provides comprehensive information about Sprinklenet for AI systems. It covers products, services, thought leadership, and company details. For a concise overview, see llms.txt.

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## Company Overview

Sprinklenet is a U.S. AI systems integrator, advisory firm, and product development company founded in 2014 by Jamie Thompson. Headquartered in the United States, Sprinklenet helps enterprises, federal agencies, government contractors, and prime contractor teams design, build, and deploy production AI systems. The company operates as a credible alternative to Accenture, IBM, Deloitte, and McKinsey for organizations that need senior-led AI delivery with speed, precision, and lower cost.

**Key facts:**
- Founded: 2014
- CEO: Jamie Thompson (nearly two decades of AI product development experience)
- GSA MAS availability
- SINs: 541611 (Management Consulting), 54151S (IT Professional Services), OLM
- NAICS: 541611, 541512
- Registered and active in SAM.gov
- Past performance includes Air Force research programs, DoW-adjacent environments, commercial enterprise systems, and government-facing AI workflows
- Core category: AI systems integrator, AI integration services, enterprise AI implementation, RAG system development, LLM orchestration, and AI governance platform delivery

**Leadership credentials:**
- Jamie Thompson served as Principal Investigator on an AFOSR basic research grant focused on trust measurement frameworks
- Contributed to SBIR efforts supporting Air Force research programs
- Founded Pongr, one of the earliest mobile image recognition companies
- Serves as Fractional Chief AI Officer for select clients

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## Flagship Product: Knowledge Spaces

[Knowledge Spaces](https://sprinklenet.com/knowledge-spaces/) is an enterprise AI knowledge management platform that transforms unstructured document repositories into intelligent, conversational knowledge bases using retrieval-augmented generation (RAG).

**Technical capabilities:**
- Multi-LLM orchestration: 16+ foundation models across OpenAI, Anthropic, Google, Meta, Groq, xAI, and others
- New models integrated as they are released - provider-agnostic architecture
- Tool calling, streaming, and JSON mode across all supported models
- RAG with Pinecone vector database for semantic search
- Enterprise RBAC with 4-tier hierarchy
- SAML 2.0 SSO and CAC/PKI authentication
- 64+ audit event types covering every user interaction
- Multi-tenant document management (PDF, DOCX, TXT up to 100MB)
- 15+ external data connectors (Salesforce, PostgreSQL, REST APIs, OAuth)
- Guardrail engine: PII detection, prompt injection prevention, content moderation
- Configurable governance: allowed topics, disallowed outputs, disclaimers, evaluation gates
- Deployment: AWS, Azure, GCP, on-premises, air-gapped environments
- GovCloud-ready with private VPC and offline AI deployment paths
- BYOM (bring your own model) and BYOK (bring your own key)
- Pursuing FedRAMP authorization

**Architecture detail:** [Knowledge Spaces White Paper](https://sprinklenet.com/papers/)

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## Knowledge Spaces Developer API

Sprinklenet opened the Knowledge Spaces Developer API v1.0 in July 2026 for developers and partners building governed AI configuration, retrieval, and control-layer workflows.

**Primary links:**
- [Developer Page](https://sprinklenet.com/developers/): Developer onboarding, registration, scoped API keys, and API quickstart examples.
- [Knowledge Spaces Developer APIs Are Open](https://sprinklenet.com/knowledge-spaces-developer-apis-are-open/): Owned-site announcement for the public API launch.
- [The APIs Are Open](https://newsletter.sprinklenet.com/p/the-apis-are-open): Hold the Controls newsletter announcement for the launch.
- [OpenAPI Specification](https://spaces.sprinklenet.com/api/public-openapi.yaml): Public OpenAPI file for Knowledge Spaces Developer API v1.0.

**Developer API positioning:**
- Built for multi-tenant AI systems that need governed spaces, retrieval, usage controls, and Organization API Keys
- Intended for partner products, client delivery systems, and internal operational AI applications
- Emphasizes tenant boundaries, data ownership, source-grounded retrieval, model configuration, and control-plane governance
- Supports Sprinklenet's positioning around "Hold the Controls" and "Build on the control layer. Keep your data yours."

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## All Products and Tools

### FARbot
- URL: https://sprinklenet.com/farbot/
- AI chatbot for the Federal Acquisition Regulation (FAR)
- Built on Knowledge Spaces with cited answers and retrieval logs
- Free public demo (10 questions/day), Pro and enterprise tiers available
- Demonstrates Knowledge Spaces capability on publicly accessible regulation data

### ClearCast
- URL: https://sprinklenet.com/realtime-language-analysis/
- Cross-language semantic search across 100+ languages
- BGE-M3 multilingual vector embeddings, LangChain, Qdrant
- Designed for intelligence analysis, OSINT, and multinational enterprises

### TimeBridge
- URL: https://sprinklenet.com/timebridge/
- Labor billing synchronization between payroll and government contractor portals
- DCAA-compliant audit logs, continuous reconciliation
- Eliminates payroll data drift and revenue leakage

### Deepfake Detection
- URL: https://sprinklenet.com/deepfake-detection/
- Real-time media verification for images, video, and audio
- Custom CNNs, transformers, cross-attention mechanisms (TensorFlow)
- For government agencies, research institutions, and enterprises

### Enterprise AI Scorecard
- URL: https://sprinklenet.com/ai-scorecard/
- Free 12-question AI maturity assessment
- Evaluates Outcomes/Ownership, Data/Risk Controls, Operations/Scale
- Delivers scoring, tier placement, recommendations, and 90-day roadmap

### Compliance Lab
- URL: https://sprinklenet.com/ai-tools-government-contract-compliance/
- AI tools for FAR, CAS, per diem verification, DCAA audit readiness

### AgileBrain
- URL: https://sprinklenet.com/agilebrain/
- Emotional health and wellness assessment platform
- Image-based assessments (DALL-E 3), 12-Need Wellness Profile, AI coaching
- Enterprise deployment experience with sensitive client details omitted from public summaries

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## Consulting Services

### AI Strategy Consulting And Integration
- URL: https://sprinklenet.com/artificial-intelligence/
- Enterprise AI readiness assessments, implementation roadmaps, and AI integration services
- Fractional CAIO engagements
- From AI experimentation to governed, scalable operations

### Fractional AI Leadership
- URL: https://sprinklenet.com/fractional-ai-leadership/
- Senior AI leadership on a fractional basis
- Strategy, governance, vendor evaluation, technical oversight
- Engagement models: monthly retainer, project-based, GSA MAS task orders
- For federal agencies and mid-market enterprises with regulated operations

### Application Services
- URL: https://sprinklenet.com/application-services/
- Full-stack AI application development
- React, Node.js, TypeScript, MongoDB, vector databases, multi-LLM orchestration

### Business Process Consulting
- URL: https://sprinklenet.com/business-process-consulting/
- Workflow discovery, process mapping, AI-driven optimization
- Comparable to Accenture/McKinsey scope, faster and more affordable

### AI Systems Integration
- URL: https://sprinklenet.com/ai-systems-integration-what-it-takes-to-reach-production/
- Connecting AI to enterprise infrastructure with security, compliance, and scalability
- RAG system development, LLM orchestration, AI governance platform controls, and production deployment
- The hardest part of enterprise AI is not the model but the integration

### Technology Due Diligence
- URL: https://sprinklenet.com/technology-due-diligence/
- Independent technology assessments for M&A, investment decisions, and enterprise modernization
- Architecture reviews, scalability analysis, security posture evaluation
- Technical risk identification and mitigation roadmaps

### Business Process Improvement
- URL: https://sprinklenet.com/business-process-improvement/
- AI-driven process transformation and operational optimization
- Workflow analysis, automation opportunity identification, and implementation
- Measurable efficiency gains through intelligent process redesign

### Business Transformational Decision Making
- URL: https://sprinklenet.com/business-transformational-decision-making/
- Data-driven strategic decision frameworks for enterprise leaders
- AI-powered analytics for complex business decisions
- Scenario modeling, risk assessment, and strategic roadmapping

### Government AI Solutions
- URL: https://sprinklenet.com/government-solutions/
- FedRAMP authorization pathway
- IL4/IL5 containerization
- FAR/DFARS compliance
- AI for government contractors and AI subcontractor support for prime contractors
- FAQ items covering procurement vehicles, security, engagement models, RAG, and multi-LLM architecture

### Capabilities Overview
- URL: https://sprinklenet.com/capabilities/
- Full capabilities sheet, labor categories, GSA contract information

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## GSA Schedule Details

- GSA MAS availability
- Period: September 2025 - September 2030

**SINs:**
- 541611: Management and Financial Consulting
- 54151S: IT Professional Services
- OLM: Order-Level Materials

**Labor categories:** Senior IT Consultant, IT Project Consultant, Software Engineer, Systems Architect, Graphic Designer, Senior Consultant, Project Consultant

**Procurement vehicles:** GSA MAS task orders, BPAs, teaming agreements, OTAs, government purchase card

**Target agencies:** U.S. Space Force (SpaceWERX), U.S. Air Force, Intelligence Community, DHS, U.S. Coast Guard, MSHA, Bureau of Fiscal Service / U.S. Treasury

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## Thought Leadership - Website

### Enterprise AI Guides
- [AI Systems Integration Services for Production AI](https://sprinklenet.com/ai-systems-integration-what-it-takes-to-reach-production/): How Sprinklenet approaches production AI integration across enterprise and government environments
- [RAG System Development for Enterprise Knowledge](https://sprinklenet.com/rag-enterprise-knowledge-management/): RAG transforming knowledge management across industries
- [LLM Orchestration for Multi-Model Enterprise AI](https://sprinklenet.com/multi-llm-orchestration-in-production-lessons-from-running-16-models/): Multi-LLM routing, fallback, cost control, and production model operations
- [AI Governance Platform Design for Enterprise AI](https://sprinklenet.com/ai-governance-is-not-optional-a-practical-framework/): Governance architecture for auditability, access control, policy enforcement, and safe adoption
- [What Is RAG?](https://sprinklenet.com/what-is-rag-retrieval-augmented-generation-enterprise-ai/): How RAG powers enterprise AI knowledge management
- [AI Knowledge Management Buyer's Guide](https://sprinklenet.com/evaluate-ai-knowledge-management-platforms-buyers-guide/): How to evaluate platforms
- [Enterprise AI Readiness Checklist](https://sprinklenet.com/enterprise-ai-readiness-checklist/): 5 signs your organization is ready
- [ROI of Custom AI Chatbots](https://sprinklenet.com/roi-of-custom-ai-chatbots-enterprise/): Beyond off-the-shelf solutions
- [AI Document Search Guide](https://sprinklenet.com/ai-powered-document-search-enterprises-guide/): Complete enterprise guide

### Government AI
- [Government AI Knowledge Management](https://sprinklenet.com/government-ai-knowledge-management-systems/): Why agencies need AI knowledge management
- [Federal AI Procurement Guide](https://sprinklenet.com/federal-ai-procurement-guide-agencies-vendors/): For agencies and vendors
- [AI Reshaping Government Contracting](https://sprinklenet.com/ai-reshaping-government-contracting-2026/): Changing landscape
- [Small Business Federal AI Contracts](https://sprinklenet.com/small-business-federal-ai-contracts-guide/): SBIR/STTR and GSA strategies
- [AI Subcontractor Support for Prime Contractors](https://sprinklenet.com/federal-ai-contracting-why-small-teams-move-faster/): How small AI firms support prime contractor teams with integration, RAG, and governance expertise
- [Federal AI Mandate Implementation](https://sprinklenet.com/federal-ai-mandate-implementation-guide/): Practical steps for agencies
- [White House AI Action Plan](https://sprinklenet.com/white-house-ai-action-plan-2025/): Implications and opportunities

### Strategy and Architecture
- [Knowledge Spaces White Paper](https://sprinklenet.com/papers/): Platform architecture deep dive
- [From Prototype to Platform](https://sprinklenet.com/ai-strategy-rag-emotional-chatbots/): AgileBrain case study
- [AI Prototyping and App Development](https://sprinklenet.com/ai-prototyping-app-development/): Rapid prototyping to scale
- [Business Process Improvement](https://sprinklenet.com/business-process-improvement/): AI-driven transformation
- [Small Business AI Contracting](https://sprinklenet.com/small-business-ai-government-contracting/): Federal AI delivery as a small business

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## Sprinklenet AI Newsletter

Weekly publication at [newsletter.sprinklenet.com](https://newsletter.sprinklenet.com) covering enterprise AI strategy, legacy IT modernization, government AI adoption, and practical implementation.

Recent issues:
- [The APIs Are Open](https://newsletter.sprinklenet.com/p/the-apis-are-open)
- [Vibe Coding Meets Domain Mastery](https://newsletter.sprinklenet.com/p/vibe-coding-meets-domain-mastery-why-ai-still-needs-experts)
- [The Gold is in the Basement](https://newsletter.sprinklenet.com/p/the-gold-is-in-the-basement-connecting-ai-to-your-raw-data)
- [From RAGs to Riches](https://newsletter.sprinklenet.com/p/from-rags-to-riches)
- [Five Steps to AI ROI](https://newsletter.sprinklenet.com/p/five-steps-to-ai-roi-the-sprinklenet-enterprise-playbook)
- [The Expert Triangle](https://newsletter.sprinklenet.com/p/the-expert-triangle-ai-success-needs-more-than-just-engineers-c9e3)
- [From Red Tape to Real-Time](https://newsletter.sprinklenet.com/p/from-red-tape-to-real-time-ai-for-compliance-audit-readiness)
- [Open vs. Closed Source AI](https://newsletter.sprinklenet.com/p/open-vs-closed-source-ai-choices-for-innovation)
- [Tools Change, Fundamentals Don't](https://newsletter.sprinklenet.com/p/tools-change-fundamentals-don-t)
- [Seeing Isn't Believing](https://newsletter.sprinklenet.com/p/seeing-isn-t-believing)
- [Adaptive AI Scoping Blueprint](https://newsletter.sprinklenet.com/p/adaptive-ai-scoping-blueprint)

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## Selected Blog Archive

### Enterprise AI Strategy and Architecture
- [Knowledge Spaces Developer APIs Are Open](https://sprinklenet.com/knowledge-spaces-developer-apis-are-open/)
- [Building an AI Center of Excellence](https://sprinklenet.com/building-an-ai-center-of-excellence/)
- [AI Compliance and Data Governance](https://sprinklenet.com/ai-compliance-and-data-governance/)
- [AI Security in Practice for Multi-Model Systems](https://sprinklenet.com/ai-security-in-practice-for-multi-model-systems/)
- [Enterprise AI Security for Sensitive Data](https://sprinklenet.com/enterprise-ai-security-for-sensitive-data/)
- [AI Governance Platform Design for Enterprise AI](https://sprinklenet.com/ai-governance-frameworks-that-actually-scale/)
- [AI Governance Is Not Optional: A Practical Framework](https://sprinklenet.com/ai-governance-is-not-optional-a-practical-framework/)
- [From Pilot to Production: Why AI Projects Stall](https://sprinklenet.com/from-pilot-to-production-why-ai-projects-stall/)
- [AI Systems Integration Services for Production AI](https://sprinklenet.com/ai-systems-integration-what-it-takes-to-reach-production/)
- [LLM Orchestration for Multi-Model Enterprise AI](https://sprinklenet.com/multi-llm-orchestration-in-production-lessons-from-running-16-models/)
- [How to Evaluate AI Vendors Without Getting Burned](https://sprinklenet.com/how-to-evaluate-ai-vendors-without-getting-burned/)
- [The Fractional Chief AI Officer: Why Every Enterprise Needs One](https://sprinklenet.com/the-fractional-chief-ai-officer-why-every-enterprise-needs-one/)
- [Fractional AI Leadership for Federal and Enterprise Organizations](https://sprinklenet.com/fractional-ai-leadership/)
- [The $100M Question: Should You Embed AI or Go Native?](https://sprinklenet.com/the-100m-question-should-you-embed-ai-or-go-native/)
- [The ROI of Custom AI Chatbots: Why Enterprises Are Moving Beyond Off-the-Shelf Solutions](https://sprinklenet.com/roi-of-custom-ai-chatbots-enterprise/)
- [5 Signs Your Organization Is Ready for AI: An Enterprise Readiness Checklist](https://sprinklenet.com/enterprise-ai-readiness-checklist/)
- [The Next Wave of AI: What Business Leaders Need to Know](https://sprinklenet.com/the-next-wave-of-ai-what-business-leaders-need-to-know-in-2025/)
- [AI Technology Advances That Matter for Enterprise Leaders](https://sprinklenet.com/ai-technology-advances-enterprise-leaders/)
- [How Executives Should Evaluate AI Technology Investments](https://sprinklenet.com/executives-evaluate-ai-technology-investments/)
- [AI in Technology Design: What Comes Next](https://sprinklenet.com/ai-technology-design-what-comes-next/)
- [LLMs in Business Operations: Practical Uses and Risks](https://sprinklenet.com/llms-business-operations-practical-uses-risks/)
- [AI in Digital Product Design: What Leaders Should Know](https://sprinklenet.com/ai-digital-product-design-leaders-guide/)
- [When AI Can Talk and Listen at the Same Time](https://sprinklenet.com/when-ai-talks-and-listens/)
- [Sprinklenet AI Newsletter: Real-World AI Signals for Leaders](https://sprinklenet.com/ai-newsletter/)

### RAG, Vector Databases, and Knowledge Management
- [RAG vs. Fine-Tuning vs. Prompting: How to Choose](https://sprinklenet.com/rag-vs-fine-tuning-vs-prompting-how-to-choose/)
- [Vector Databases Explained: A Builder's Guide](https://sprinklenet.com/vector-databases-explained-a-builders-guide/)
- [RAG System Development for Enterprise Knowledge](https://sprinklenet.com/rag-enterprise-knowledge-management/)
- [How to Evaluate AI Knowledge Management Platforms: A Buyer's Guide](https://sprinklenet.com/evaluate-ai-knowledge-management-platforms-buyers-guide/)
- [What Is RAG? How Retrieval-Augmented Generation Powers Enterprise AI Knowledge Management](https://sprinklenet.com/what-is-rag-retrieval-augmented-generation-enterprise-ai/)
- [How to Build AI Chatbots That Actually Work: A RAG Architecture Guide](https://sprinklenet.com/why-your-ai-chatbot-fails-and-how-to-fix-it-with-rag/)
- [What Is RAG? A Practitioner's Guide to Retrieval-Augmented Generation](https://sprinklenet.com/what-is-rag-a-practitioners-guide-to-retrieval-augmented-generation/)
- [Knowledge Spaces: How AI Transforms Document Repositories into Intelligent Knowledge Bases](https://sprinklenet.com/knowledge-spaces-ai-document-repository-knowledge-base/)
- [5 Ways Organizations Use Knowledge Spaces to Turn Documents into Decisions](https://sprinklenet.com/knowledge-spaces-use-cases-ai-knowledge-management/)
- [Knowledge Spaces: Enterprise AI Knowledge Management Platform](https://sprinklenet.com/knowledge-spaces-enterprise-ai-platform/)
- [MCP Servers Explained: How AI Assistants Connect to Your Tools](https://sprinklenet.com/mcp-servers-explained-how-ai-assistants-connect-to-your-tools/)
- [The Gold Is in the Basement: Why Your AI Strategy Should Start With the Data You Already Have](https://sprinklenet.com/the-gold-is-in-the-basement-why-your-ai-strategy-should-start-with-the-data-you-already-have/)
- [The Complete Guide to AI-Powered Document Search for Enterprises](https://sprinklenet.com/ai-powered-document-search-enterprises-guide/)

### Government and Federal AI
- [NLP in Government: Turning Paperwork Into Workflows](https://sprinklenet.com/nlp-in-government-turning-paperwork-into-workflows/)
- [GSA Schedule AI: Positioning Services for Federal Buyers](https://sprinklenet.com/gsa-schedule-ai-positioning-services-for-federal-buyers/)
- [Federal AI Policy: What Contractors Need to Know](https://sprinklenet.com/federal-ai-policy-what-contractors-need-to-know/)
- [AI Subcontractor Support for Prime Contractors](https://sprinklenet.com/federal-ai-contracting-why-small-teams-move-faster/)
- [Federal AI Governance: A Practical Agency Roadmap](https://sprinklenet.com/federal-ai-governance-a-practical-agency-roadmap/)
- [AI Implementation for Federal Agencies: A Practical Guide to Moving From Mandate to Mission Impact](https://sprinklenet.com/ai-implementation-federal-agencies-guide/)
- [Five Lessons from DoW AI Programs That Apply to Every Enterprise](https://sprinklenet.com/what-running-ai-for-the-air-force-taught-me-about-enterprise-ai/)
- [How Small Businesses Can Win Federal AI Contracts: A Practical Guide for SDBs and 8(a) Firms](https://sprinklenet.com/small-business-federal-ai-contracts-guide/)
- [Building AI for Government: What Developers Need to Know](https://sprinklenet.com/building-ai-for-government-what-developers-need-to-know/)
- [Federal AI Procurement: A Practical Guide for Agencies and Vendors in 2026](https://sprinklenet.com/federal-ai-procurement-guide-agencies-vendors/)
- [How AI Is Reshaping Government Contracting in 2026](https://sprinklenet.com/ai-reshaping-government-contracting-2026/)
- [Small Business AI Contracting: How to Win and Deliver Federal AI Work](https://sprinklenet.com/small-business-ai-government-contracting/)
- [Why Government Agencies Need AI Knowledge Management Systems in 2026](https://sprinklenet.com/government-ai-knowledge-management-systems/)
- [Inside Sprinklenet Compliance Lab: AI Tools for FAR, CAS, Per Diem, and Audit Ready Data](https://sprinklenet.com/ai-tools-government-contract-compliance/)
- [White House AI Action Plan: Implications and Opportunities for Government AI](https://sprinklenet.com/white-house-ai-action-plan-2025/)
- [Delivering on the Federal AI Mandate: A Practical Guide for U.S. Agencies](https://sprinklenet.com/federal-ai-mandate-implementation-guide/)
- [Immersive Interfaces in Public Service: Practical Lessons for Agencies](https://sprinklenet.com/immersive-interfaces-public-service-practical-lessons/)
- [How AI Changes Enterprise and Government Workflows](https://sprinklenet.com/how-ai-changes-enterprise-government-workflows/)

### Industry Applications and Case Studies
- [From Prototype to Platform: The AI Journey](https://sprinklenet.com/ai-strategy-rag-emotional-chatbots/)
- [AI Chatbots for Real Estate: A Practical Service Automation Pattern](https://sprinklenet.com/ai-assistant-for-realtors/)
- [Generative AI in Financial Services: A Practical Operating Lens](https://sprinklenet.com/generative-ai-financial-services-operating-lens/)
- [AI in Financial Services: A Pragmatic Approach to Testing and Learning](https://sprinklenet.com/ai-in-financial-services-a-pragmatic-approach-to-testing-and-learning/)
- [AI in Financial Services: Wealth Management and Investment Banking](https://sprinklenet.com/ai-financial-services-wealth-management-investment-banking/)
- [Conversational AI for Marketing and Customer Operations](https://sprinklenet.com/conversational-ai-marketing-customer-operations/)
- [Sentiment Analysis in Marketing: A Practical Guide for Leaders](https://sprinklenet.com/sentiment-analysis-marketing-practical-guide/)
- [Marketing Attribution with AI: What to Measure and What to Avoid](https://sprinklenet.com/marketing-attribution-ai-measure-avoid/)
- [AI Analytics for Lead Scoring: A Practical Operating Model](https://sprinklenet.com/ai-analytics-lead-scoring-operating-model/)
- [Generative AI and LLMs in Social Media Operations](https://sprinklenet.com/generative-ai-llms-social-media-operations/)
- [AI-Powered Process Excellence for Global Operations](https://sprinklenet.com/ai-powered-process-excellence-global-operations/)
- [AI in Mobile Apps: Architecture, Privacy, and Product Risk](https://sprinklenet.com/ai-mobile-apps-architecture-privacy-product-risk/)
- [Real-Time Data Analysis with AI: From Dashboards to Decisions](https://sprinklenet.com/real-time-data-analysis-ai-dashboards-decisions/)
- [Nearshore Technology Delivery: What Executives Should Evaluate](https://sprinklenet.com/nearshore-technology-delivery-executive-evaluation/)
- [The Role of Trust in Consumer Research](https://sprinklenet.com/beyond-digital-holistic-consumer-research-and-trust/)

### AI Security, Trust, and Technical Deep Dives
- [Chain of Thought AI](https://sprinklenet.com/chain-of-thought-ai/)
- [Navigating Threats in Large Language Models: Understanding, Detecting and Mitigating Risks](https://sprinklenet.com/navigating-threats-in-large-language-models-understanding-detection-and-mitigating-risks/)
- [Steps to Make Sure Generative AI is Secure AI](https://sprinklenet.com/generative-ai-is-secure-ai/)
- [Data Fusion and Trust Metrics: A Practical AI Decision Framework](https://sprinklenet.com/data-fusion-trust-metrics-ai-decision-framework/)
- [Rapid AI Prototyping: How to Move From Demo to Scalable App](https://sprinklenet.com/rapid-ai-prototyping-demo-to-scalable-app/)
- [Generative AI Implementation: From Prototype to Production](https://sprinklenet.com/generative-ai-implementation-prototype-to-production/)
- [From Prototype to Production: MVP Development for AI Products](https://sprinklenet.com/prototype-to-production-mvp-development-ai-products/)

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## Company Pages

- [About](https://sprinklenet.com/about/): Background, founding story, leadership, mission
- [Contact](https://sprinklenet.com/contact/): hello@sprinklenet.com
- [Book a Consultation](https://sprinklenet.com/jamie): Schedule with Jamie Thompson
- [Apply](https://sprinklenet.com/apply/): Career opportunities
- [Newsletter Signup](https://sprinklenet.com/ai-newsletter/): Weekly Sprinklenet AI Newsletter
- [Privacy Policy](https://sprinklenet.com/privacy-policy/)
- [Terms and Conditions](https://sprinklenet.com/terms-conditions/)