DataSpoc

We create intelligence systems that learn, adapt, and evolve.

Applied AI research for problems that have no ready-made solution.

We don't apply generic models. We design new artificial intelligence architectures that combine advanced research, adaptive systems, and production engineering.

An applied AI research lab

DataSpoc is not a data consultancy. It's not a software house. It doesn't implement ready-made frameworks.

We are a research and engineering lab in applied artificial intelligence.

We work at the frontier between academic research and real production problems. When your organization faces a challenge where generic AI doesn't solve it, we design the architecture that does.

Our Methodological Approach

1 - Deep understanding: We don't start with models. We start by understanding the problem, data, operational context, and constraints.

2 - Architecture design: We design the intelligence architecture that solves the specific problem—we don't adapt generic solutions.

3 - Rigorous validation: We test exhaustively with historical data, edge cases, and adversarial scenarios before production.

4 - Incremental deploy: We start in shadow mode, compare with existing systems, and go into production in a controlled manner.

5 - Governed evolution: The system learns continuously, but all evolution passes through validation and approval gates.

Our Principle
Most real-world problems don't need another model.

They need a new intelligence architecture.

Real data is imperfect.

Real environments change.

Real decisions have a cost.

That's why we don't train models — we create complete intelligence systems.

Artificial Intelligence, AI Consulting, Machine Learning Development, Data Science, Generative AI Development, Custom Software + AI, AI Strategy, Custom AI Models, LLM Development, Predictive Modeling, MLOps, Data Engineering + AI, custom AI, enterprise AI, machine learning consulting, AI strategy, LLM, predictive analytics