Data & AI Labs - Impetus

Incubate. Innovate. Accelerate with Innovation Labs

Fast-track alignment of your business and technology strategy with frameworks proven to deliver the results you need

Create your breakthrough moment with Impetus Data & AI Labs

  • Explore architecture options with experts

  • Ensure strategic alignment of business and technology

  • Architect an ideal solution for a pressing problem

Learn more about a $0 Design Lab

  • Validate new or refactor existing architecture

  • Develop a prototype with expert guidance

  • Establish a roadmap to production

Learn more about a $20K Build Lab

Accelerate your data and AI initiatives with Impetus

Fast-track your Data/AI projects and develop them in days, not months or years

Get hands-on expert experience to overcome business and technical challenges

Bring solutions back to your customers and precision to your roadmap

Close off endless debates and break stalemates

Choose a lab aligned to the current status of your Data & AI journey


Duration: 1-2 days 

Not ready to build a solution and in need of an architecture?

What is it

Joint engagement with your business and technical stakeholders alongside our data/cloud engineering experts to create your use case architecture and solution

What you get

  • Post-lab report with architecture recommendations

  • Solution design and underlying data utilization


Duration: 3-5 days

Architecture in place and ready to build a prototype

What is it

Collaborative design and build of a prototype (MVP) in your environment using your data, guided by expert architects to accelerate your path to production

What you get

  • Post-lab report with accelerated roadmap

  • MVP prototype ready for production

Address your desired use case across critical analytic dimensions

Databases & enterprise applications

  • Legacy on-prem migration to cloud solutions and services

  • Decoupling monolithic architecture into micro-services

  • Hybrid/multi-vendor target states

Application & infrastructure modernization

  • Serverless containers to enable DevSecOps patterns

  • Build end-to-end serverless applications

  • Migrate and refactor legacy apps for the cloud

  • Low/no-code development of “data rich” apps


  • GenAI readiness and deployment

  • Feature engineering pipeline

  • Data sharing, enrichment, and monetization

  • Custom AI solution development

  • Create an AI/ML platform (e.g., MLOps)

  • Data value chain move from assets to products

Data lakes & analytics

  • Data Unification and DataOps

  • Data Lake design and build

  • Data pipelines to support event-driven, real/near real-time needs, including streaming services

  • ETL/ELT modernization and migration

Maintain solution flexibility with our extensive partner ecosystem

Discover more ways our team can help

Discuss your needs with our team