Excel got you here.We’ll take you further
We build structured, scalable data apps that grow with your business
It's harder to scale a business running on spreadsheets
AI is accelerating workflows everywhere — but only if your systems are ready.
Businesses with clean, structured systems will benefit faster. At Dionode, we help you take that foundational step — evolving your trusted spreadsheets into systems AI can actually work with.
Who it’s for
Founders scaling beyond spreadsheets
Data professionals automating the manual grind
Engineers replacing fragile logic with resilient systems
Anyone tired of copy-paste chaos and ready to build smarter
Build future-ready tools that scale.
Map business logic
We find the actual workflows and processes on your organization by looking at how your data flow into spreadsheets.
Interactive Dashboards
Not just reports — we build dashboards where your team can input, update, and manage data in real time.
Data Apps Connected to Cloud Databases
Whether it’s BigQuery, Postgres, or Snowflake, we create clean system frontends that sync directly to your data sources.
Frequently asked questions
Here are some common questions about our software services.
We specialize in replacing critical spreadsheets that run operations, finance, reporting, inventory, sales pipelines, and more. If your business relies on spreadsheets for day-to-day workflows, it's time for a scalable upgrade
We specialize in replacing fragile spreadsheet workflows with structured, scalable data apps.
We're tech-agnostic — but based on our experience, these tools help us deliver great results quickly and affordably:
- Data storage: PostgresSQL, Google BigQuery
- Data apps: Retool, Streamlit, Gradio
- Dashboards: Looker Studio (Google), Power BI (Microsoft)
- Core programming: Python & SQL
Every organization is different. We tailor our stack to match your needs — balancing speed, scalability, and maintainability.
Yes! Once your system is structured properly, we can integrate private AI agents to help you find information, automating tasks, predictive analytics and more. Clean, structured systems will facilitate successful AI adoption — and the results will always depend on the quality and organization of your data.
