Postgres
Postgres is a reliable database for the kind of operational software most businesses actually need: customer portals, internal tools, reporting layers, and AI systems that need structured data.
Technologies
What we build with.
These are the tools we use in production, not a capability list. Each page explains what the technology actually does, where it fits in a business workflow, what it is good at, and where it causes trouble.
AWS
AWS is powerful, but it gets messy fast without a clear architecture. We use it for practical hosting, automation, pipelines, queues, storage, and managed infrastructure.
GCP
GCP is a strong fit for data-heavy workflows, analytics, automation, and teams already using Google Workspace or BigQuery.
Vercel
Vercel is a clean deployment platform for modern Next.js sites and lightweight web apps that need speed, strong metadata, and reliable previews.
HubSpot
HubSpot becomes much more useful when website forms, sales workflows, data cleanup, and follow-up automations are connected cleanly.
Salesforce
Salesforce often holds the truth about pipeline and customers, but the work around it still happens in email, spreadsheets, and manual handoffs.
Python
Python is often the right tool for back-office automation, data work, AI integrations, API glue, and small services that need to keep running.
SQL
A lot of AI and automation work starts with a simpler problem: the business data is not clean, modeled, or queryable.
Airflow
Airflow is useful when data movement, transformations, alerts, and dependencies need to be visible and reliable instead of hidden in one-off scripts.
Fivetran
Fivetran is a good way to move data from common business systems into a warehouse, but the pipeline still needs modeling, monitoring, and ownership.
Claude
Claude is useful for document work, coding support, analysis, drafting, and structured internal workflows when it is connected to the right context and guardrails.
OpenAI
OpenAI models can help with language-heavy work, but the value comes from the surrounding system: data, permissions, review steps, logging, and integration.
Snowflake
Snowflake is useful when business data from many systems needs to become one reliable layer for reporting, operations, and AI workflows.
dbt
dbt helps turn raw warehouse tables into named, tested, documented models that people can actually use.
Using one of these already?
Send the workflow or the part that keeps breaking. We will tell you what is worth fixing first.