Technology Stack
We build cutting-edge solutions on enterprise-grade platforms that transform how organizations operate - from reliable infrastructure to unified data platforms to amplified human intelligence
Microsoft Azure
Cloud Infrastructure
We build on Azure's enterprise-grade cloud infrastructure to deliver secure, scalable solutions. Azure provides the foundation for reliable deployments with built-in security and global reach.
What We Deliver Together
- Global infrastructure at any scale
- Integrated security at every layer
- Hybrid cloud flexibility
- Native AI and ML services
- Enterprise compliance built-in
Azure Certified Specialists
Explore our expertiseDatabricks
Unified Data & AI Platform
We leverage Databricks' unified data and AI platform to build solutions that break down silos. With two Databricks MVPs on our team, we bring deep expertise in implementing production-grade data platforms.
What We Deliver Together
- Single platform for all data workloads
- Best development practices
- Production-ready ML pipelines
- Real-time and batch processing
- Open standards, no lock-in
2x Databricks MVPs on Team
Explore our expertise
Anthropic Claude
LLM Way of Working
We've pioneered a structured approach to LLM-powered development with Claude Code. Through CLAUDE.md project files, git integration, and systematic context management, we deliver consistent, maintainable solutions that amplify team capabilities.
What We Deliver Together
- Structured project context via CLAUDE.md
- Git-integrated development workflows
- Consistent codebase patterns
- Automated documentation generation
- Maintainable AI-assisted development
Structured LLM Development Pioneers
Explore our expertiseOur Technology Approach
We build on a unified technology stack where:
Azure
provides reliable cloud infrastructure
AWS
delivers scalable cloud services
Databricks
unifies data and AI workloads
Claude
structures AI-powered development
We leverage these platforms together to transform how organizations operate with their data.
Implementation Partner
Strategic partners delivering excellence in deployment and integration
Conet
Implementation PartnerCONET is our implementation partner, bringing Cauchy's data platform to industrial clients across their extensive Siemens control systems portfolio.
CONET is an industry leader in Siemens automation, with over 40,000 engineering hours available annually. Their expertise spans fully automated factories to optimized industrial processes. Together, we've delivered end-to-end machine learning solutions that have been running successfully in production for multiple years - proving the value of combining process expertise with advanced data analytics.
We're now developing a joint Managed Databricks offering that enables CONET to deliver streaming IoT analytics, predictive maintenance, and machine learning capabilities to their industrial clients - transforming the massive data streams from Siemens devices into actionable intelligence. This partnership strengthens CONET's competitive position by extending their automation expertise into the data and AI domain.
Building on Microsoft Azure
We build all our solutions on Azure's enterprise-grade cloud infrastructure. Our team's Azure expertise enables us to architect secure, scalable data platforms that leverage the full capabilities of the Azure ecosystem - from compute and storage to AI services and networking.
Enterprise Security Built-In
Multi-layered security with Azure AD, Key Vault, and Sentinel integration
Global Scale On-Demand
Deploy across 60+ regions with automatic scaling and load balancing
Hybrid Flexibility
Seamlessly connect on-premises, multi-cloud, and edge environments
Our Azure Capabilities
- Enterprise infrastructure design
- Security-first architectures
- Azure certified team
- DevOps automation
- Cost optimization expertise
Databricks Expertise
We specialize in Databricks implementations, bringing recognized expertise to every project. With two Databricks MVPs on our team, we have deep knowledge of the platform's capabilities for unifying data engineering, analytics, and AI workloads.
🏆 Team Credentials
Our team includes two Databricks MVPs, recognized experts in the Databricks ecosystem with proven track records of successful implementations.
Unified Platform
One platform for ETL, data science, machine learning, and analytics
Collaborative Workspace
Interactive notebooks where data teams work together in real-time
Open Standards
Built on Apache Spark, Delta Lake, and MLflow - no vendor lock-in
Our Databricks Services
- Platform architecture & design
- Migration & implementation
- Delta Lake optimization
- MLOps pipeline development
- Team training & enablement
MVP-Level Expertise
Our MVPs contribute to the Databricks community and stay current with platform innovations.
The LLM Way of Working
We've developed a systematic approach to LLM-powered development using Claude Code. By structuring projects with CLAUDE.md context files, git integration, and consistent patterns, we ensure every project maintains quality while maximizing the benefits of AI assistance. This structured methodology makes our solutions maintainable, transferable, and consistently high-quality.
CLAUDE.md Project Context
Every project includes structured context files that guide development patterns and maintain consistency
Git-Integrated Workflows
Seamless integration with version control ensures all AI-assisted changes are tracked and reviewable
Systematic Codebase Patterns
Established patterns and best practices encoded in context for consistent implementation
Our Structured LLM Approach
Project Context Files
CLAUDE.md files encode project patterns and requirements
Git Integration
All AI-assisted changes tracked in version control
Consistent Patterns
Systematic approach to code structure and architecture
Maintainable Solutions
Quality code that teams can understand and extend