Private AI Workspace
Your team asks questions. Your AI answers from your documents. No data leaves your network.
Your team can't use ChatGPT. Your knowledge is locked in documents.
Every day, your team spends hours searching through folders, SharePoint, or email threads for answers that already exist somewhere in your organization. Public AI tools like ChatGPT are not an option — patient records, contracts, financial data, and classified documents cannot leave your network. The result: slow decisions, duplicated work, and knowledge that walks out the door when people leave.
Who This Is For
Legal Firms
Contract search, case law research, due diligence review. Find relevant clauses across thousands of documents in seconds.
Healthcare Providers
Policy lookup, clinical documentation search, compliance verification. HIPAA-compliant by design — data never leaves your infrastructure.
Financial Institutions
Regulatory search, compliance documentation, internal knowledge management. Full audit trail for every query and answer.
Government Agencies
Internal knowledge management, inter-department information sharing. Sovereign deployment with role-based access control.
Expected Outcomes
Based on industry benchmarks for enterprise knowledge management systems
60–70%
Reduction in time spent searching for information
Seconds
Time to get sourced answers instead of hours of manual search
Zero
Data exposure — everything stays inside your network
100%
Audit trail for every query, answer, and document accessed
The Investment Pays for Itself
If your team spends 20 hours/week searching documents at $50/hr, that's $4,000/month in lost productivity. Recall Starter ($8K + $800/mo) pays for itself in 2 months — and keeps saving every month after.
ROI improves with team size. A 50-person organization typically sees 3x faster payback than a 10-person team.
Private AI Workspace
A private AI system where your team chats with internal documents, performs semantic search, and gets sourced answers — without sending data to public APIs.
How it works
Your data never leaves your network. Recall deploys on your infrastructure with role-based access and full audit logging. Support for local models or enterprise APIs.
What's included
- RAG-powered chat with your internal knowledge base
- Semantic search across all company documents
- Role-based access control and audit logging
- On-premise or private cloud deployment
- Support for local models, Azure OpenAI, AWS Bedrock
Pricing
Implementation + Monthly Support
Starter
For small teams getting started with private AI
Starting at
$8,000
+ $800/month
Timeline: 4-6 weeks
What's included
- Up to 10K documents
- 1 workspace
- Cloud deployment
- RAG-powered chat
- Semantic search
- Basic audit logging
Pro
For organizations needing role-based access and compliance
Starting at
$15,000
+ $1,500/month
Timeline: 6-8 weeks
What's included
- Up to 100K documents
- Multiple workspaces
- Role-based access control
- Full audit logging
- Cloud or hybrid deployment
- Priority support
Enterprise
For enterprises requiring full data sovereignty
Starting at
$30,000
+ $3,000/month
Timeline: 8-12 weeks
What's included
- Unlimited documents
- On-premises deployment
- Local models (no external APIs)
- SSO integration
- Custom integrations
- Dedicated support + SLA
What You Get With the Proof of Concept
- Single workspace with your real documents
- Up to 500 documents indexed and searchable
- Working chat interface your team can test
- Accuracy and relevance report with metrics
In 2 weeks, you'll know exactly how Recall performs with your real documents — no guessing, no demos with fake data.
PoC fee ($3,000–$5,000) is credited toward full implementation if you proceed.
Start a PoCCommon Questions
How is this different from ChatGPT or Claude?
ChatGPT and Claude send your data to external servers. Recall runs entirely in your infrastructure — your data never leaves your network. It also searches only your documents, so answers are always sourced and relevant to your organization.
What happens to my data?
Your data stays where it is. Recall indexes your documents within your own infrastructure (cloud or on-premises). We never have access to your data after deployment. You control everything.
How accurate are the answers?
Recall provides sourced answers — every response includes references to the specific documents and passages it used. If the information isn't in your documents, it says so rather than making something up.
Do we need special infrastructure?
No. Recall runs on standard cloud infrastructure (Azure, AWS) or on-premises servers. Starter tier needs minimal setup. We handle the deployment during the implementation phase.
What if we only want the PoC?
That's perfectly fine. The PoC is designed to prove value with your real data. If you decide not to proceed, you keep the accuracy report and insights. If you do proceed, the PoC fee is credited toward full implementation.
Ready to get started?
30-minute discovery call. We'll recommend the right tier for your needs and give you a fixed-price proposal within 48 hours.