Built for enterprise data volume
Designed for very large structured and unstructured datasets so you are not forced to fragment the problem across many disconnected models.
The Large Data Model (LDM)
NeoSpace LDM is a modeling layer for organizations that need a single path from connected data to live decisions—without sacrificing scale or governance.
AI that scales with your data, not against it
One coherent view of your signals
Relates information across sources so predictions reflect business context—not only a single table or pipeline in isolation.
Inference ready for production
Throughput and latency suited to operational decisions, with serving patterns that scale as demand grows.
Keeps pace with change
Supports ongoing training and refinement as new data arrives, so models stay aligned with how your business behaves today.
Actions tuned to each entity
Moves teams from broad segments toward decisions and recommendations at the level of the customer, account, or entity you define.
Fits your existing stack
Connects to common data platforms and APIs so you avoid brittle, one-off pipelines for every new use case.
Read the full LDM introduction in the documentation →
How it works
A single path from connected data to production inference — modeled after how teams ship AI on NeoData.
Connect your data sources
Lakes, warehouses, streams, APIs
Build dataset
Select paths, validate schema
Data enhancement
Enrich datasets before training
Pre-train
Foundation on your corpus
Post-train
Align to your decisions
Inference
Score at production scale
Land structured and unstructured data in NeoData with governed pipelines. The LDM only sees what you connect and approve — ready for training and audit.
After the workflow
Ship LDM with the same rigor you use for the rest of NeoData
The steps above are the product story. Next, these docs cover tenants, APIs, observability, and security patterns — so what you validate in pre-production still holds when traffic, data drift, and compliance requirements show up for real.
What partners achieve with NeoSpace
Representative outcomes when LDM is deployed for high-stakes decisioning at scale.
2×
Prediction Accuracy
More accurate predictions powered by our advanced data modeling approach.
400%
Training Speed
Faster model training cycles, accelerating experimentation and deployment.
5×
Inference Latency
Faster inference speeds deliver instant responses across massive datasets.
10B+
Real-Time Scale
Predictions processed in real time, scaling effortlessly to billions of events.
Ready to unlock the value hidden in your largest data assets?
Join leading companies already using NeoSpace LDM to transform data into actionable intelligence.