Multilayer covers all data specializations: data engineering, data science/analytics, data strategy; in addition to machine learning (AI) engineering, MLOps, and analytics engineering.
We can go big or small - meaning we can deploy your whole data platform from scratch, hire your data team, and run it on an interim basis. Or we can just do discovery work or build a small PoC in two sprints. We are a boutique, so we tailor the solution to your needs.
Being technology agnostic means we don't marry ourselves to any provider because the best solution to a problem is often tailored. Most of the times it's also open source software.
We love talking about data so much that we give free advice - book your free advisory session!
Data Science & Analytics
Develop a deep understanding of your business and influence critical decisions with statistics and acute business acumen.
High Performance Computing
Build scalable clusters using parallel computing techniques for CPU/GPU-based calculations on a massive scale.
Data Modeling
Implement an elegant data model with built-in automation especially designed for your business needs.
ML/ Statistical Modeling
Create statistical or ML models, starting from the whiteboard to writing production-ready code.
Data Science Tooling
Deploy advanced Jupyter based systems with custom-built libraries that will streamline your analytic capabilities.
MLOps
Manage the lifecycle of your machine learning models with fault-tolerant and streamlined technologies.
Technical Interviews
With our ample experience conducting technical interview we can help you vet and hire the best.
Data Quality
Deploy state-of-the-art tests and monitoring tools to ensure data integrity, availability, and observability.