Neuralift
Customer AI that models a business's customers from first-party data
About Neuralift
Neuralift builds a deep learning model of a company's customers from its first-party data. It surfaces segments, tracks changes over time and ranks recommended actions by expected KPI impact. It also exposes the model to AI tools through an MCP server.
Common use cases
- Customer retention
- Loyalty and CRM
- Offer optimization
- Audience monetization
Products and services
Discovery
Deep learning segment discovery on wide datasets
Readings
Scheduled reports on what changed and why
Ranked Actions
Recommended actions ordered by expected KPI gain
MCP server
On-demand access for AI tools and agents
Key features
- Segment discovery
- Change tracking
- Ranked recommendations
- MCP access
- First-party data modeling
Neuralift alternatives
- OPOptimove
AmperityCustomer data platform with identity resolution for enterprise brands
- LYLytics
- SDSalesforce Data Cloud
FAQs
What data does it use?
A company's own first-party customer data.
Which industries does it target?
Retail, media, gaming, travel and hospitality, among others.
Can AI agents access it?
Yes, via an MCP server.
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