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SphereIQ Knowledge AI Logo

Self-hosted AI knowledge retrieval for enterprises

Table of Contents

SphereIQ Knowledge AI - 2026 Pricing, Features, Reviews & Alternatives

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Last updated: September 2026

SphereIQ Knowledge AI overview

What is SphereIQ Knowledge AI?

SphereIQ Knowledge AI is a self-hosted retrieval-augmented generation (RAG) module that connects large language models to internal enterprise document corpora via pgvector semantic search. Every answer surfaces inline source citations and per-claim confidence scores, grounding responses in specific internal documents rather than model memory. The full pipeline runs inside the customer's own infrastructure, with no document data transmitted to external parties. Deployment options include Docker Compose on customer infrastructure or private cloud, an air-gapped configuration for federal, defence, and healthcare workloads, and a cloud SaaS path that goes live within hours. Sphere manages deployment, maintenance, updates, and rollback across all options.

Ingestion connectors cover SharePoint, Confluence, network drives, and document repositories. Permissions are synced at ingestion time, so semantic retrieval is filtered by per-user access rights inherited directly from source file systems. Real-time PII detection flags and restricts personal data before documents enter the retrieval index, supporting GDPR Article 25 and data residency requirements. An append-only immutable audit log captures every query, document access, and administrative action, with SOC 2 Type II evidence export built in. The Bulwark Enhanced security layer adds RBAC, JWT authentication, PBKDF2 key derivation, and prompt injection screening.

SphereIQ Knowledge AI targets regulated enterprise organizations in banking, healthcare, insurance, legal, government, and energy sectors, as well as knowledge-intensive teams in financial services, manufacturing, and legal. Bring-your-own-key (BYOK) LLM support covers OpenAI GPT-4o and GPT-4o-mini, Anthropic Claude Opus, Sonnet, and Haiku, Mistral, Llama, and any OpenAI-compatible model, routing inference costs directly to the provider with no platform markup. Scheduled connectors integrate with Microsoft 365, Teams, Slack, Salesforce, NetSuite, and Confluence, tracking source system content changes while respecting source permission models. Typical rollout to 50 active users, including knowledge ingestion and SSO integration, completes in approximately three weeks.

Starting price


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SphereIQ Knowledge AI’s user interface

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SphereIQ Knowledge AI's features

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SphereIQ Knowledge AI logo

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Free version
Ease of Use
Features
Value for Money
Customer Support

SphereIQ Knowledge AI support options

Typical customers

Freelancers
Small businesses
Mid size businesses
Large enterprises

Platforms supported

Web
Android
iPhone/iPad

Support options

Email/Help Desk
FAQs/Forum

Training options

Documentation
Webinars
Live Online
Videos

SphereIQ Knowledge AI FAQs

Q. Who are the typical users of SphereIQ Knowledge AI?

SphereIQ Knowledge AI has the following typical customers:
Freelancers, Small Business, Mid-size Business, Large Enterprises

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Q. What level of support does SphereIQ Knowledge AI offer?

SphereIQ Knowledge AI offers the following support options:
Email/Help Desk, FAQs/Forum

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