We are building the world’s most advanced Large Data Model.
Nostra is an AI model built for data enrichment.
We generate the customer data that you don’t have.
Nostra is an AI model that generates relevant, non-PII data you can’t collect anywhere else. It imputes these variables based on the data you already have. Our model can generate thousands of unique variables based on as little as two inputs.
These variables can then be used to power business decisions directly. We have streamlined the process for maximum efficiency and comprehension.
The Nostra Process
01
Your enterprise sends us sparse,
anonymized data.
02
Nostra imputes additional columns,
guaranteed to be relevant,
that no vendors can supply.
03
We send the augmented data back to you,
enriching your team's existing
models and stacks.
Nostra In Action
Your Data
Enriched Data
Age
Income
State
Shopping Habits
Risk Appetite
Household Composition
Media Preference
Brand Affinity
Purchase Timing
28
$72K
TX
Frequent Online
Moderate
Single
Social
Nike
Weekend
41
$118K
NY
Luxury Focused
High
Family of 4
Email
Apple
Holiday
23
$89K
CA
Deal Seeker
Moderate
Couple
Search
Uniqlo
Payday
52
$146K
FL
In-Store Loyal
Low
Empty Nesters
Print
Costco
Morning
24
$58K
WA
Impulse Buyer
High
Roommates
TikTok
Amazon
Late Night
47
$132K
IL
Brand Loyal
Low
Family of 5
TV
Walmart
Monthly
31
$94K
CO
Eco Conscious
Moderate
Couple + Dog
Newsletter
Patagonia
Seasonal
56
$171K
MA
Premium Buyer
Low
Empty Nesters
Direct Mail
Amex
Quarterly
29
$77K
GA
Mobile Shopper
High
Single Parent
Mobile Ads
H&M
Flash Sale
Case Studies
Nostra consistently
delivers exceptional
results.
We’re able to get to the traditionally unattainable datasets imputed from existing datasets. This results in a holistic customer profile for your business that satisfies all privacy regulations and generates huge improvements in prediction accuracy. Here’s a brief look at how our revolutionary Large Data Model, Nostra, yields double digit improvements across functions and business lines.
+200% Lead Conversion
200% digital lead conversion for a Fortune 500 company
Client in Insurance
1,000+ Unique Variables
Data Augmentation for 1,000+ proprietary variables
Clients in Various Industries
+75% Revenue Expansion
75% cross-selling and up-selling for a major global retailer
Client in Retail
+15% Forecast Precision
15% revenue prediction accuracy for a Fortune 500
financial institution
Client in Insurance
+98% Spend Intelligence
98% future spend prediction for a global luxury market company
Client in Auction House
+20% Risk Optimization
20% underwriting & loss ratio improvement for a
Fortune 100 financial institution
Client in Insurance
+15% Default Forecasting
15% default rate prediction for a globally renowned
luxury house
Client in Auction House
+12% Credit Risk
12% loan delinquency prediction for a US large cap
personal lender
Client in Personal Loans
Use Cases
Use
Cases
These are some of the typical variable categories that Nostra can provide.
01
Healthcare Predictions & Medical History
02
Credit & Payment Behaviors
03
Eating & Nutrition Behaviors
04
Psychographic & Preference Data
05
Time Use & Lifestyle Behaviors
06
Travel & Mobility Behaviors
07
Behavioral Stability & Longitudinal Trends
08
Financial & Spending Behaviors
09
Exercise & Physical Activity
10
Demographic & Household Characteristics
11
Digital & Online Behaviors
12
Social & Network Behaviors
13
Sleeping Behaviors
14
Life Events & Transitions
15
Geographic & Environmental Factors
Our Fundamentals
Our Fundamentals
A foundation built around privacy, accessibility, and rigorous research.
01
Secure & Private
- Nostra is highly protective of individual privacy and does not use any PII
- Nostra is fully compliant with worldwide privacy and data security regulations
- Nostra is SOC 2 Type 2 Compliant
02
Easily Accessible
- Off the shelf model available immediately
- Fine tuned model can be customized to your requirements
- 100% interpretable findings
03
Research Driven
- Waffle Labs is powered by published academic research in top scientific journals
- Nostra harnesses the power of disconnected, numerous datasets
Backed by influential investors.
