Enterprise RAG search that respects every permission
Knowledge AI connects a self-hosted LLM to your internal documents through pgvector semantic search. Every answer arrives with source citations, a confidence score, and the same access controls your file system already enforces. No data leaves your infrastructure.
Organizations around the world trust us
Secure Enterprise AI for Regulated Teams
Your employees are already using AI. The question is whether your documents are leaving the building with them.
Three things break the moment a regulated enterprise plugs into a public chatbot:
Data residency
GDPR Article 25 requires data protection by design. Pasting client files into a hosted chatbot is a documented exfiltration vector.
Permission inheritance
Public LLMs flatten access. A junior contractor and a board member get the same answer from the same prompt.
Audit trails
Regulated industries need to know who asked what, when, and which document the answer came from. Generic AI tools cannot produce this.
How it works
From document to cited answer in four steps.
Ingest
Connect SharePoint, Confluence, network drives, and document repositories. Permissions sync on ingestion, not at query time.
Embed
Documents are chunked and embedded into pgvector, the open-source extension to PostgreSQL. Your vector store sits inside your own database.
Retrieve
Semantic search returns the most relevant passages, filtered by the requesting user's existing permissions.
Generate
The LLM (your choice of OpenAI, Anthropic, Mistral, Llama, or any OpenAI-compatible model) produces a streaming response with inline citations and a confidence score on every claim.
The full pipeline runs inside your perimeter. The only thing that leaves – if you choose – is the prompt to your own LLM provider, using your own API key.
Capabilities
What Knowledge AI does, specifically.
Permissions-aware retrieval
Every document inherits its source-system access rules. A user only sees what they're already entitled to see. Sync via SAML, Azure AD, Okta, or native ACL mapping.
Source citations on every answer
Each claim links back to the exact document, page, and passage it came from. Click-through opens the original file with your existing viewer.
Confidence scoring
Every answer carries a numerical confidence rating. Low-confidence outputs are flagged before the user reads them. Threshold is configurable per workspace.
Streaming responses
Answers stream token-by-token. Median first-token latency under 800ms on self-hosted deployments.
Native enterprise integrations
SharePoint, Jira, Gmail, Google Calendar, Outlook, Slack, Microsoft Teams, Salesforce, HubSpot, plus webhooks and MCP-based custom connections for proprietary systems. Read-only by default.
Multi-language understanding
Query in English, retrieve from documents written in 40+ languages. Useful for EU multinationals with cross-border document estates.
Bring your own LLM
OpenAI, Anthropic, Mistral, Llama, and any OpenAI-compatible model. No inference markup. You pay the provider directly using your own keys.
Cost ceilings per user, per team
Token budgets stop runaway usage before it hits the invoice. Real-time spend dashboard, daily alerts.
3 weeks to 50 active users
Typical rollout time from contract signature to 50 active users. Includes knowledge base ingestion and SSO integration.
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Security and architecture
Built for the procurement teams that block other AI tools. The architecture is designed around one assumption: your security team's default answer to cloud AI is no. Knowledge AI is engineered to flip that to yes.
Self-hosted by default
Docker Compose deployment on your own infrastructure. Air-gapped deployment available for federal, defence, and healthcare workloads.
PBKDF2 password hashing, JWT session management, RBAC on every endpoint
The full Bulwark Enhanced security layer is included with the platform.
Immutable audit log
Every query, every document accessed, every administrative action – written to an append-only log. SOC 2 Type II evidence export is one click.
PII detection at the embedding layer
Documents containing personal data are flagged and access-restricted before they enter the index.
Use Cases
for Enterprise RAG
How four regulated industries are using Knowledge AI.
Financial Services
A tier-1 EU asset manager uses Knowledge AI to retrieve MiFID II disclosure language across 14 years of fund documentation. Outcome: research analysts find the right disclosure clause in 9 seconds instead of 40 minutes.
Healthcare
A multi-site hospital group queries internal clinical protocols across nursing, pharmacy, and admissions teams. Outcome: zero protected health information leaves the hospital network – protocols stay on-premise, queries stay on-premise.
Legal
A 60-lawyer firm searches across 18 years of matter files with attorney-client privilege intact through permissions inheritance. Outcome: associates draft first-pass memos from cited precedent in under an hour.
Manufacturing
A European automotive OEM runs Knowledge AI across engineering specifications, supplier contracts, and CSRD documentation. Outcome: procurement, engineering, and sustainability teams query the same knowledge base with different permission scopes.
Hear from
our clientsHear from our clients
Lee Ebreo
VP of Engineering at Credit Ninja
These things would not have been achievable if we did not build our own in-house system and if we did not partner with Sphere to help us achieve our goals.
Selah Ben-Haim
VP of Engineering at Prominence Advisors
Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).
Ben Crawford
Senior Product Manager at Enova Financial
I would expect to be delighted. It's been a really positive experience, working with Sphere, and I would expect you to have the same.
Mark Friedgan
CEO at CreditNinja
Sphere consistently prioritizes the needs of their clients, demonstrating both agility and teamwork. As an offshore team, they have been an integral part of our organization and we plan to continue growing with them.
René Pfitzner
Co-Founder at Experify
Sphere provided excellent full-stack development manpower to augment our team and help push our product forward. They are easy to work with, tech-savvy and proactive.
Bruce Burdick
Chief Information Officer at Integra Credit
We've been working with Sphere and its excellent consultants since our founding. I've found that they are true partners in the success of our business.
Jemal Swoboda
CEO at Dabble
The resources and developers that Sphere Software provides are skilled and have the required technical expertise, but more importantly, they have helped us build a culture of excellence within our team.
Arthur Tretyak
Founder and CEO at IntegraCredit
With Sphere, we were able to migrate in half the time it would take to train an additional FTE… and for a fraction of the cost. Our experience with Sphere has been exceptional.
Lee Ebreo
VP of Engineering at Credit Ninja
These things would not have been achievable if we did not build our own in-house system and if we did not partner with Sphere to help us achieve our goals.
Selah Ben-Haim
VP of Engineering at Prominence Advisors
Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).
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Sphere in Numbers
We understand that actions speak louder than words and numbers but here are some key facts about us.
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Years of Excellence
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Countries
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Clients
top 20 average 8+ years