AI-Powered Customer Data Extraction
Automatically extract and structure customer data from every conversation — names, intents, preferences, action items — and sync directly to your CRM.
AI customer data extraction analyzes conversations in real time to identify and capture structured data points — customer names, contact details, product interests, purchase intents, action items, and custom fields. isLucid syncs extracted data directly to your CRM, eliminating manual data entry and ensuring no insight is lost.
95% Extraction accuracy
100% Conversations captured
80% Less manual entry
Key Capabilities
Entity Extraction
AI identifies and extracts key entities from conversations — names, emails, phone numbers, companies, products, dates, and amounts.
- Named entity recognition (NER) across 20+ types
- Context-aware extraction for ambiguous entities
- Multi-language entity detection
- Custom entity type definitions
CRM Integration
Extracted data syncs directly to your CRM — Salesforce, HubSpot, or any system via API — creating or updating records automatically.
- Salesforce, HubSpot, and custom CRM support
- Auto-create contacts, leads, and opportunities
- Update existing records with new data
- Activity logging with full transcript
Custom Field Mapping
Map extracted data to your specific CRM fields, custom objects, and internal data models — no generic one-size-fits-all.
- Flexible field-to-field mapping
- Custom object and field support
- Conditional mapping rules
- Data transformation and formatting
Real-Time Sync
Data is extracted and synced in real time during conversations — not after. CRM records update as the conversation happens.
- Live extraction during active calls
- Instant CRM record creation/updates
- Webhook triggers for downstream workflows
- Batch processing for historical data
Frequently Asked Questions
What data can AI extract from conversations?
isLucid extracts customer names, email addresses, phone numbers, company names, product interests, purchase intent signals, budget mentions, timeline references, action items, competitor mentions, sentiment indicators, and any custom entities you define. It captures both explicit statements and implied context.
How accurate is the extraction?
isLucid achieves 95%+ extraction accuracy for standard entity types like names, emails, and phone numbers. For custom fields and more nuanced data points like intent and sentiment, accuracy typically ranges from 90-95% and improves over time with feedback.
Does it work with our existing CRM?
Yes. isLucid offers pre-built integrations with Salesforce, HubSpot, Microsoft Dynamics, Zoho, and Pipedrive. For other CRMs, our REST API and webhook system enable integration with any platform. Setup typically takes hours, not weeks.
Can it process historical conversations?
Yes. isLucid can batch-process historical call recordings, chat transcripts, and email threads to extract data retroactively. This is useful for enriching existing CRM records or building a baseline dataset before going live with real-time extraction.
How does custom field mapping work?
You define which extracted entities map to which CRM fields. For example, map 'product interest' to a custom Salesforce field, or 'next steps' to a task in HubSpot. Conditional rules let you route data differently based on conversation type, department, or extracted values.