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.

1
Your enterprise sends us sparse data.
2
Nostra imputes additional columns, guaranteed to be relevant, that no vendors can supply.
3
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

Nostra consistently delivers exceptional results.

In most cases, businesses have quantifiable data; we have unquantifiable data. This means that 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

Below are some of the typical variable categories that Nostra can provide


Healthcare Predictions & Medical History

Credit & Payment Behaviors

Eating & Nutrition Behaviors

Psychographic & Preference Data

Time Use & Lifestyle Behaviors

Travel & Mobility Behaviors

Behavioral Stability & Longitudinal Trends

Financial & Spending Behaviors

Exercise & Physical Activity

Demographic & Household Characteristics

Digital & Online Behaviors

Social & Network Behaviors

Sleeping Behaviors

Life Events & Transitions

Geographic & Environmental Factors

Our Fundamentals


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

Secure & Private


Off the shelf model available immediately

Fine-tuned model can be customized to your requirements

100% interpretable findings

Easily Accessible


Waffle Labs is powered by published academic research in top scientific journals

Our findings are 100% interpretable

Nostra harnesses the power of disconnected, numerous datasets

Research Driven

Backed by influential investors.