Knowledge Spaces
The AI Control Layer for Enterprise and Government
Knowledge Spaces is the governed multi-LLM platform underneath every Sprinklenet AI product. Configure API-driven and self-hosted model options, ground every answer in your approved sources, enforce policy and audit at the platform level, and ship to production in approximately four weeks. Built for federal teams, regulated enterprises, and partners building on top of it.
Available for enterprise and federal procurement.
The Problem
Most organizations are stuck between consumer-grade chatbots that cannot be trusted with real work and custom AI builds that take months and cost hundreds of thousands of dollars. Neither gives you what you need: a governed platform that deploys fast, integrates with your systems, and keeps your data under your control.
Knowledge Spaces is the managed AI platform between those extremes. A reusable control layer for deploying governed AI-powered knowledge experiences at scale.
Architecture Overview
Users
Agency Staff & Teams
Partners
Clients & Stakeholders
Applications
Embed · Standalone · API
Knowledge Spaces
The Control Layer · Nothing reaches your models or data without passing through here
Model Router
16+ models
Auto-selection
BYOK supported
Retrieval Engine
Vector search
Source citations
Document grounding
Guardrail Engine
PII detection
Content moderation
Policy enforcement
Governance
RBAC · SSO
64+ audit events
Sharing controls
Foundation Models
Claude · ChatGPT
Gemini · Grok
Llama · Qwen
DeepSeek
Your Knowledge
SharePoint · OneDrive
Legacy .NET Apps · Databases
REST APIs · Data Lakes
Files · PDFs
Policy & Compliance
Agency AI Governance
Containerized Deployments
Multi-Cloud · Private Data Lakes
Compliance Evidence
Not a Chatbot. A Control Layer.
Knowledge Spaces is not another wrapper around a language model. It is a managed service that gives your organization a single control point for model routing, retrieval, governance, security, and auditability across every AI experience you deploy.
Models
16+
Audit Events
64+
Connectors
15+
To Production
~4 wks
Platform Capabilities
Multi-LLM Orchestration
Route queries across current API-driven and self-hosted model families, including Claude, ChatGPT, Gemini, Grok, Llama, Qwen, and DeepSeek. Support automatic model selection, tool calling, streaming, JSON mode, and bring-your-own-key configurations.
RAG-Powered Retrieval
Semantic search over approved files, SharePoint libraries, databases, APIs, and legacy application data via vector embeddings. Every response is grounded with citation, attribution, and source linking.
Enterprise Security
SAML 2.0 SSO, CAC/PKI authentication, 4-tier RBAC, and 64+ auditable event types. Stateless processing with no LLM retention of your data. FedRAMP pursuit in progress.
15+ Data Connectors
SharePoint, OneDrive, Salesforce, PostgreSQL, REST APIs, OAuth-secured systems, .NET applications, and private data lakes. Knowledge Spaces becomes the intelligence layer across existing infrastructure, not a silo alongside it.
Guardrail Engine
PII detection, prompt injection prevention, content moderation, allowed topics, disallowed outputs, and configurable disclaimers. Governance is the foundation, not an afterthought.
Plain-Language Configuration
Configure bot behavior, governance rules, and output constraints in natural language with no code required. Define what the AI knows, how it responds, and what it refuses. Update policies without engineering cycles.
How It Works
A layered architecture that separates concerns and gives organizations precise control at every level.
Organizations
Separate tenants with complete data isolation between business units, clients, or agencies.
Spaces
Scoped knowledge domains with their own documents, model configurations, and governance rules.
Bots
Configured assistants with defined behavior, personality, and output constraints. Multiple bots per Space.
Sharing Controls
Share AI experiences externally without exposing source documents. Full audit trail on every interaction.
In Production Today
Deployed across government, coaching, and enterprise organizations.
Government Compliance
FARbot
Public-facing AI assistant grounded in the Federal Acquisition Regulation. Used by contracting officers and acquisition professionals. Try it live.
Behavioral Health & Coaching
Multi-Tenant Coaching Platform
Coaching organizations deploy branded AI assistants — each with separate knowledge bases, behavioral guidelines, and access controls. Multiple organizations live today.
Enterprise Knowledge
Internal Ops & Partner Sharing
Teams get instant access to policy and domain expertise. Partners access curated AI experiences without seeing source documents.
Who It's For
Federal Agencies
Governed AI that meets federal security, compliance, and documentation requirements. GovCloud-ready. FedRAMP pursuit in progress.
DoW And Intelligence
Air-gapped deployment, CAC/PKI auth, complete data sovereignty. Operates where sensitive work happens.
Prime Contractors
Add production-ready AI to existing programs without building from scratch. White-label available.
Enterprise
Multi-tenant knowledge management across portfolios and business units with role-based access and full audit logging.
How We Engage
Week 1
Discovery
Scope use case, identify data sources, define governance rules, configure architecture.
Week 2
Build
Ingest documents, activate connectors, configure guardrails, define bot behaviors. Working AI on your data.
Weeks 3-4
Ship
Controlled pilot, refinement, production deployment. Ongoing support and scaling.
Go Deeper
White Paper
Technical Deep-Dive
Architecture, deployment patterns, and full capability breakdown. Download PDF
Article
Full Platform Overview
25+ FAQ on deployment, security, integrations, and use cases. Read article
Service
Custom AI Chatbots
Branded, domain-specific AI assistants powered by Knowledge Spaces. Learn more
See Knowledge Spaces in Action
We work with a small number of organizations at a time to ensure quality. Tell us about your use case and we will walk through the platform, outline a deployment timeline, and answer your technical questions.
Request a Demo