Services
Seven services built for production by one founder-led team. Each engagement starts from the workflow you run today and ends with a system your team can operate, monitor and trust.
Agents and reporting that act on your data, with guardrails and human review.
Autonomous agents that reason, call tools, and complete production workflows.
Typical stack
Governed LangGraph BI agents with semantic layers, validators, evals, and Slack delivery.
Typical stack
Pipelines, platforms and web data your team can trust.
Scalable ETL/ELT pipelines with Airflow, dbt, and Kafka. Ship in 2 to 6 weeks.
Typical stack
Modernize legacy data platforms with staged migration, dbt modeling, and AI-ready architecture.
Typical stack
Playwright-first scraping runtimes with proxies, validators, monitoring, and warehouse delivery.
Typical stack
Lower cloud bills and steady, well-run infrastructure.
Cut AWS, GCP, Azure bills 20–60% with workflow-mapped auditing, right-sizing, and guardrails.
Typical stack
Deployment, maintenance, upgrades, and website operations in customer-controlled accounts.
Typical stack
How engagements work
Every service follows the same path, so you always know what comes next.
We review your workflow, stack and bottleneck. You leave with a clear go or no-go, including when another tool fits better.
A workflow audit, architecture direction and delivery estimate before you commit to a bigger build.
End-to-end delivery with testing, deployment, documentation and a 30-day optimization window.
Ongoing senior support for tuning, monitoring, incidents and the next workflow.
Describe the workflow in a 30-minute call. We will tell you which service fits, or whether you need us at all.