Data & AI services built for production
Whether you need a full platform, a single capability, or experienced engineers to accelerate your team, we deliver outcomes you can run and grow.
AWS Data Engineering
Scalable batch and streaming pipelines, data lakes, and lakehouses built on AWS-native services and open table formats.
- Data lake & lakehouse on S3 with Apache Iceberg
- ETL/ELT with AWS Glue, EMR, Spark and dbt
- Streaming with Kinesis, MSK (Kafka) and Flink
- Warehousing with Redshift, Athena and Snowflake
- Orchestration with Airflow (MWAA) and Step Functions
Generative AI & LLM Solutions
Take LLM ideas from prototype to production: retrieval-augmented generation, agents, and evaluation, with security built in.
- RAG applications on Amazon Bedrock
- AI agents and workflow automation
- Vector search with OpenSearch and pgvector
- LLM evaluation, guardrails and cost control
- Prompt engineering and model selection
Machine Learning & MLOps
Repeatable paths from notebook to production: training, deployment, monitoring and retraining on Amazon SageMaker.
- Model development and feature engineering
- SageMaker pipelines, registry and endpoints
- Feature stores and training data pipelines
- Model monitoring, drift detection and retraining
- CI/CD for ML with infrastructure as code
Data Platform Modernization
Move legacy warehouses and Hadoop workloads to AWS with a clear plan, without disrupting the business.
- On-prem Hadoop, Teradata and Oracle migrations
- Architecture reviews against AWS Well-Architected
- Cost optimization and FinOps for data workloads
- Infrastructure as code with Terraform and CDK
- Data governance with Lake Formation and catalogs
Staff Augmentation
Vetted data, ML and cloud engineers who join your team quickly and contribute from the first sprint.
- AWS data engineers and data architects
- ML, MLOps and GenAI engineers
- Contract, contract-to-hire or direct hire
- Technical screening by practicing engineers
- Flexible ramp-up and ramp-down
Data & AI Strategy
Focused assessments that turn "we should do something with AI" into a prioritized, fundable roadmap.
- Data & AI readiness assessments
- Use-case discovery and ROI sizing
- Target architecture and roadmap
- Build vs. buy and vendor evaluation
- Team structure and skills planning
Choose how we work together
Staff Augmentation
Add skilled engineers to your team, working in your tools and rituals under your direction.
Project Delivery
We own a defined outcome end to end, from architecture to production, with a clear scope and milestones.
Advisory & Assessment
A short, focused engagement to review architecture, find risks and cost savings, and plan next steps.
Have a data or AI initiative in mind?
Tell us what you are trying to achieve. We will respond within one business day with practical next steps, whether that is a project, an assessment, or the right engineer for your team.