Scaling Neuralift for the next wave of customers.
Q1 at Neuralift was about scaling: 3.61 TiB in memory, 100B+ datapoints, 42 AI-native segmentation use cases delivered. What it takes to serve the next wave of enterprise customers.
Q1 at Neuralift AI has been about one thing: scaling. When your first-party data in the warehouse connects to AI, everything has to scale.
Compute. Memory. Dimensionality.
The Q1 benchmarks
In Q1 we hit some new performance benchmarks:
- 3.61 TiB of tabular data in memory during a single model training
- 100B+ behavioural data points segmented on a single model
- Elastic computation across 8 NVIDIA GPU clusters with 16 Blackwell GPUs
- 274 hours of model training execution
- 42 AI-native segmentation use cases delivered to customers
▣ Q1 · Bytes stored per worker · single model training
This is not a SQL wrapper. This is not LLM math. This is SoTA computation applied to customer data for marketing.
This is what it takes to model real behaviour over time and understand what will actually lift KPIs.
It requires exploring the full problem without sampling it down until the answer stops being useful.
Where most ML systems break
That is exactly where most ML and analytics systems break.
- They flatten time.
- They reduce dimensions.
- They sample the dataset.
- They shrink the workload.
We built Neuralift to do the opposite. We leverage the GPU compute layer and the cloud warehouse — natively. Enterprise data as it actually exists: massive, messy, temporal, and high-dimensional. We turn that into signal.
▣ Q1 · Refinement final · 20-segment UMAP projection
Working with some of the most loved brands in the world demands we have the ability to find answers across 100M+ customers with 1,600 attributes per customer.
Now imagine getting those answers in a day when it used to take months — to get worse answers.
This is all we do
That is what we are building at Neuralift. That is real marketing AI. Native. Scalable. Not a bolted-on feature. This is all we do.
And these aren’t just visuals. They are receipts.
If you are sitting on first-party data — even if you have fewer than 1M customers — and want AI that can turn your data into clear actions to lift KPIs, drop us a line.