Knowledge Spaces

The AI Control Layer for Enterprise and Government

Deploy governed, production-grade AI experiences across your organization — with full control over what the AI knows, what it can say, and who can access it.

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Available on GSA MAS Schedule
Contract 47QTCA25D00F0

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

OpenAI · Anthropic
Google · Meta
Groq · xAI

Your Knowledge

Documents · PDFs
Databases · APIs
Salesforce · OAuth

Policy & Compliance

Agency AI Governance
FedRAMP · FISMA
Data Sovereignty

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 16+ foundation models — OpenAI, Anthropic Claude, Google Gemini, Meta Llama, Groq, and xAI — with automatic model selection, tool calling, streaming, and JSON mode. Bring your own API keys or use Sprinklenet-managed access.

RAG-Powered Retrieval

Semantic search over your documents via vector embeddings. Every response grounded in your approved sources with full citation, attribution, and source linking. No hallucination in production.

Enterprise Security

SAML 2.0 SSO, CAC/PKI authentication, 4-tier RBAC, and 64+ auditable event types. Stateless processing — no LLM retention of your data. FedRAMP pathway in progress.

15+ Data Connectors

Salesforce, PostgreSQL, REST APIs, OAuth-secured systems. Knowledge Spaces becomes the intelligence layer across your 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 — 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.

1

Organizations

Separate tenants with complete data isolation between business units, clients, or agencies.

2

Spaces

Scoped knowledge domains with their own documents, model configurations, and governance rules.

3

Bots

Configured assistants with defined behavior, personality, and output constraints. Multiple bots per Space.

4

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 pathway in progress.

Defense & 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

Sprinklenet Robot