Turn Your Data Assets into Conversational Intelligence
You have valuable proprietary data: industry benchmarks, market research, survey results, client databases. Currently it lives in spreadsheets and PDFs. Our AI agents make it accessible through natural conversation while protecting your competitive advantage.
The Challenge
Proprietary data creates competitive moats. But extracting value from that data is hard:
- Clients ask questions; staff manually query databases
- Reports are static; data is dynamic
- Access requires technical skills
- Sensitive information needs protection
- Monetisation means sharing, which risks dilution
Traditional approaches force a choice between accessibility and protection.
Our Approach
We build AI agents that act as intelligent gatekeepers to your data. Users ask questions in natural language. Agents retrieve relevant information. Answers provide value without exposing raw data or methodology.
Conversational Access
Replace database queries with conversation. “What’s the typical salary for this role in London?” gets a contextualised answer, not a spreadsheet.
Controlled Exposure
Agents answer questions without revealing underlying data. Aggregated insights are shared; individual records stay protected.
Subscription Enablement
Convert one-time reports into recurring revenue. Subscribers get ongoing access to an agent that answers their questions, not a static PDF that goes stale.
Capabilities
Natural Language Queries
Users ask questions as they’d ask an expert:
- “What’s the typical compensation for senior professionals in this sector?”
- “How do London salaries compare to New York for similar roles?”
- “What benefits are most common in organisations of this size?”
Agents translate natural language into structured queries, retrieve relevant data, and synthesise responses.
Fuzzy Matching
Real-world questions are messy:
- “CEO” vs “Chief Executive Officer” vs “Managing Director”
- Different ways of describing the same role or sector
- Geographic variations and regional groupings
Agents handle terminology variations through conversational clarification when needed.
Citation and Transparency
Trust requires transparency:
- Answers cite sample sizes and data sources
- Confidence levels reflect data quality
- Limitations are acknowledged
- Users understand what’s behind the answer
Privacy-First Architecture
Protect what matters:
- Raw data stays in secure storage
- Agents access aggregated views
- Personal identifiers never surface
- Audit trails track all queries
Example: Industry Benchmarking
A research firm has years of compensation and market data. Currently:
- Clients call with questions
- Staff manually query spreadsheets
- Answers take hours or days
- Revenue comes from annual reports
With our agent:
- Clients message with questions via email or chat
- Agent queries the database in seconds
- Contextualised answers include relevant comparisons
- Subscription model generates recurring revenue
- Data stays protected; insights are shared
The firm transforms a manual consulting service into a scalable product without exposing the data that makes them valuable.
Delivery Channels
Meet users where they are:
- Email: Users email questions; agents respond with answers
- Chat: Embedded agents in client portals
- WhatsApp: Conversational access on mobile
- API: Integration with client systems
Zero-friction access drives engagement and retention.
Technical Foundation
Our proprietary data agents are built with:
- Large Language Models: Natural language understanding and generation
- Secure Databases: Your data stays in your infrastructure
- Query Translation: Natural language to structured queries
- Access Control: User-level permissions and audit logs
- Delivery Infrastructure: Email, chat, messaging integration
Business Model Enablement
Agents enable new revenue streams:
- Subscription Access: Monthly/annual fees for query access
- Tiered Service: Basic queries free, detailed analysis paid
- Usage-Based: Per-query pricing for high-volume users
- White-Label: Agents embedded in client platforms
We help you design pricing and packaging alongside the technology.
Who This Is For
- Research firms with proprietary survey data
- Consultancies with benchmark databases
- Industry associations with member data
- Recruitment firms with compensation intelligence
- Any organisation sitting on valuable, underutilised data
Getting Started
Proprietary data agents start with understanding your data assets:
- What data do you have that competitors don’t?
- What questions do clients ask most often?
- How is the data currently accessed and monetised?
- What protection constraints apply?