From architecture design to production AI workflows, we deliver targeted expertise or end-to-end partnerships based on where you are in your technology journey.
Comprehensive architecture assessments, scalability audits, and system design for greenfield and brownfield projects. We define component boundaries, data flow patterns, and integration contracts that teams can build against with confidence.
Design and implementation of API-first architectures, microservices decomposition, event-driven patterns, and domain-driven design. We help teams move from monoliths to modular, independently deployable services.
End-to-end cloud migration strategy and execution across AWS, Azure, and GCP. We handle assessment, workload classification, migration waves, and post-migration optimization to ensure zero-disruption transitions.
Infrastructure as code with Terraform and Pulumi, CI/CD pipeline design, container orchestration with Kubernetes, and internal developer platform engineering that accelerates team velocity.
Production-grade machine learning pipelines from data preparation to model serving. We design training workflows, feature stores, model registries, and monitoring systems that keep AI systems reliable at scale.
Integration of large language models, retrieval-augmented generation, agent-based workflows, and intelligent document processing into existing business systems to automate complex knowledge work.
Design and implementation of modern data platforms including data lakes, lakehouses, streaming architectures with Kafka and Spark, and orchestration with Airflow and dbt for reliable, governed data flows.
Data warehouse design, semantic layer development, self-service analytics enablement, and executive dashboard engineering that turns raw data into actionable business intelligence.
Flexible partnership structures designed around your needs and timeline.