Unleash the Knowledge Embedded in Your Data.
Untapped Data
Enterprises store vast amounts of valuable data, but the majority remains unused or underutilized.
Generic Insights
Instead of real-time personalized intelligence, companies get delayed and generic insights that fail.
Generic Actions
Recommended actions are clustered and generic, lacking precision to drive relevant customer outcomes.
Legacy ML Limits
Traditional machine learning cannot grasp each customer deeply or adapt quickly as markets shift.
Late Decisions
Insights are delivered too late to truly influence or support critical business decisions when needed.
Rigid Pipelines
Systems rely on rigid pipelines, manual feature engineering, and shallow correlations, losing context.
Manual Features
Feature engineering remains a manual, time-consuming process, slowing innovation and limiting scale.
Our Solution
The Large Data Model (LDM)
AI that Scales as Fast as Your Data Grows
Built for Scale
Purpose-built AI designed to handle massive datasets, whether structured or unstructured.
Unified Intelligence
Correlates every signal across all data streams inside a single unified model.
Real-Time Inference
Optimized to deliver ultra-low latency and high-throughput predictions at scale.
Adaptive Architecture
Dynamic design ensures models stay general, always fresh, and highly relevant.
Hyper-Personalization
Continuously generates individualized actions for each customer interaction.
Seamless Integration
No fragile pipelines required — simply connect your data and start running.
Massive Scale
Effortlessly process billions of rows and manage petabytes of enterprise data.
Unified Data
Structured or unstructured, all data types modeled together in one system.
Adaptive Learning
Self-optimizing models evolve continuously with every new data stream.
Enterprise Security
SOC 2, GDPR compliance, plus governance with advanced access control.
Seamless Integration
Fully compatible with your BI, ML, and broader data infrastructure.
Deploy LDMs anywhere data is
your competitive advantage:
About Us
After a successful journey at Zup, where they revolutionized the financial services and telecommunications sectors by enabling traditional companies to engage with customers like digital startups, founders Bruno Pierobon, Felipe Almeida, and Gustavo Debs established Neospace.
Having worked with clients such as Itaú, Santander, Banco do Brasil, Cielo, Vivo, Claro, and many others, they deeply understand the needs, challenges, and opportunities of large enterprises.
A world class deep tech team is building foundational AI models designed to drive a significant leap forward for financial services companies, simplifying life for end customers and enhancing team efficiency and productivity.
