The data’s always been there. We just help you see it.
Nostra is on average 22% closer to the truth than the leading frontier LLM models.
We conducted benchmark tests and found that Nostra performs 22% closer to the truth than leading frontier LLM models, such as Claude Opus 4.7 and GPT 5.2 Pro. These tests confirm Nostra’s ability to realize the maximum potential of your business. Our model is trained on proprietary and large scale data from every major industry, using only anonymized data to uncover key insights. By imputing missing data and predicting across domains from incomplete data, Nostra provides the complete understanding needed to make informed decisions to drive businesses.
We conducted benchmark tests and found that Nostra performs 22% closer to the truth than leading frontier LLM models, such as Claude Opus 4.7 and GPT 5.2 Pro. These tests confirm Nostra’s ability to realize the maximum potential of your business. Our model is trained on proprietary and large scale data from every major industry, using only anonymized data to uncover key insights. By imputing missing data and predicting across domains from incomplete data, Nostra provides the complete understanding needed to make informed decisions to drive businesses.
Nostra outperforms every frontier LLM on quantitative prediction tasks.
Use
Cases
Below are some of the typical variable categories that Nostra can provide.
Let us know what you want to predict.
Our model then predicts a suite of downstream values, generating 100% traceable and interpretable predictions. Nostra is able to deliver double-digit gains that are verifiable due to its model architecture.
Your current system can’t fully utilize all of the data points that are relevant to your business. That’s where Nostra comes in. Nostra uses your data to generate a prediction tailored to you.
Nostra prioritizes the protection of individual privacy and compliance with worldwide regulations, and therefore only uses Non-PII data.
Then, Nostra predicts!
Based on your inputs, Nostra connects disparate datasets and imputes missing Non-PII values.
Nostra consistently beach exact-matching vendors.
40 – 70%
of your universe is NOT in exact-matched databases
20 – 30%
of exact-match records decay every year
Identity ≠ Propensity
a perfect email tells you nothing about intent or fit
Regulatory Headwinds
GDPR, CCPA, cookies… all eroding exact-match data
Hidden Uncertainty
exact-match vendors hide match rates and staleness
100%
tailored coverage by design.
The Nostra Process
& Imputation
AI Ecosystem
Nostra is a powerful Large Data Model (LDM) that leverages numbers and statistics, rather than words and language, to give your business the competitive edge it needs to sift through the noise.
Our model works differently from Large Language Models (LLM) by focusing on numerical data. It calculates hard-to-get, business-critical values, making your existing data more valuable.
Adaptable to any industry, Nostra is easy to use. Businesses can simply input their numbers and quickly gain actionable insights without complex setups or AI expertise.
Our Fundamentals
A foundation built around privacy, accessibility, and rigorous research.
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
Easily Accessible
- Off the shelf model available immediately
- Fine tuned model can be customized to your requirements
- 100% interpretable findings
Research Driven
- Waffle Labs is powered by published academic research in top scientific journals
- Nostra harnesses the power of disconnected, numerous datasets
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.
