Enabling AI to solve business problems

AI & Data Science Projects

From lab to production, make AI work for you. Turn your data science and ML projects into practical, revenue-driving solutions that deliver measurable results.

Our Services

Enabling AI to solve business problems

The promise of AI has long captivated us. But here's the reality: less than 15% of AI projects reach production. Why?

AI initiatives look like complex business (and even marketing) transformations instead of tech implementations. But the landscape is changing:

2024 was the year of Proof of Concepts (PoCs).
2025 will be the year of transition to Production.

The State of AI Projects

Our methodology covers the entire lifecycle of any AI project, focusing on governance, ROI validation, and successful solution implementation. Here's how:

How We Move
AI Projects to Production

Strategic Investment

We identify high-impact use cases that directly affect your bottom line through:

  • Collaboration with your team

  • Rapid experimentation sessions

  • Focused PoCs for promising solutions

Efficient Selection

We maximize your investment by:

  • Eliminating 80% of ideas during an initial evaluation

  • Building concise PoCs focused on core functionality

  • Avoiding unnecessary integration of business rules

Critical Evaluation

We deliver responsible PoCs focused on feasibility, not hype. If a project isn't viable, we'll tell you and help redirect your investment. Each project is assessed for:

  • AI suitability fit

  • Data quality

  • Regulatory compliance

  • Process efficiency

AI Project Phases

How We Can Help

We move your AI projects from concept to production through:

Evaluation and business case development to support ML/AI projects.

Exploration of historical data to uncover trends and inform decisions.

Develop prototypes and POC in concept in Databricks and supporting ML Ops platforms for specific use cases.

Validate ROI and production feasibility of prototypes and path to production.

Creation of ML pipelines with continuous integration and delivery

Integration of ML tools like model registries, feature stores confirming to devops, ML and governance standards

The Latest on AI

Make AI Work for Your Business

Let's discuss turning your AI concepts into tangible results.