Connect the data as it already is.
Warehouses, lakes, event streams, text. No feature engineering, no aggregation, no pipeline to maintain. The model reads the sequence, not a summary of it.
Every event your systems already write is a usable signal.
The hard part? Turning raw event streams into real-time decisions. That is what Large Data Models do.
The data platform built by NeoSpace to power Large Data Models at scale
Purpose-built AI designed to handle massive datasets, whether structured or unstructured.
Correlates every signal across all data streams inside a single unified model.
Optimized to deliver ultra-low latency and high-throughput predictions at scale.
Dynamic design ensures models stay general, always fresh, and highly relevant.
Continuously generates individualized actions for each customer interaction.
No fragile pipelines required — simply connect your data and start running.
Warehouses, lakes, event streams, text. No feature engineering, no aggregation, no pipeline to maintain. The model reads the sequence, not a summary of it.
Every event your systems already write is a usable signal.
Every dataset is profiled, versioned and monitored before a single training step runs — nulls, schema, distribution. Auditable end to end, which is what a regulated operation needs.
Reproducible datasets, traceable to the version that trained the model.
Self-supervised learning builds a persistent understanding of each entity's behaviour. Then one specialisation per question — churn, fraud, demand, failure — on top of the same foundation.
Fleets of single-purpose models and their pipelines go away.
Calibrated probabilities and recommended actions stream into the systems that already run your operation, with drift monitored per target so you see quality move before the business does.
The same model serving decisions is the one being measured.
Effortlessly process billions of rows and manage petabytes of enterprise data.
Structured or unstructured, all data types modeled together in one system.
Self-optimizing models evolve continuously with every new data stream.
SOC 2, GDPR compliance, plus governance with advanced access control.
Fully compatible with your BI, ML, and broader data infrastructure.
Every result we publish, with the notebooks to reproduce it.

Decisions at transaction speed, on raw event history instead of stale aggregates.

Every interaction becomes signal — pricing and recommendations that react in real time.

Network and customer data unified into one model that acts before problems surface.
More accurate predictions powered by our advanced data modeling approach.
Faster model training cycles, accelerating experimentation and deployment.
Even faster inference speeds deliver instant responses across massive datasets.
Predictions processed in real-time, scaling effortlessly to billions of events.
The three that come up in every first conversation. The rest we answer live.
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