Introducing Erdo: AI-Powered Data Intelligence for Everyone
Getting value from company data is hard. Engineering teams are stretched thin, data lives in silos, and setting up secure access takes weeks. We built Erdo to solve this.
What is Erdo?
Erdo is an AI data analyst written in Go. It uses an agentic architecture that can think recursively about data, ask follow-up questions, and generate insights the same way a skilled human data analyst would. It's also fast - we built it to handle enterprise-scale datasets without breaking a sweat.
We believe Erdo is the fastest and most accurate AI data analyst available. If you find a better one, we'll give you your money back.
Why We Built It
Before starting Erdo, I spent years in executive roles including global co-CEO inside Teads, a global technology company with teams of about 2,000 people in 35 markets. We had strong engineering talent, a modern tech stack, and access to vast amounts of data across marketing, sales, finance, and operations.
And yet, getting answers was still painfully slow.
Our engineers were excellent—but every meaningful question required going through them. Dashboards had to be scoped, ETL pipelines built, permissions reviewed, data cleaned, anonymized, and validated. Even with best-in-class BI tools, the process was rigid and reactive. If the data you needed wasn’t already modeled, you waited.
Sometimes that wait was days. Often weeks. Occasionally months. The bottleneck wasn’t effort or competence, it was the model itself.
In 2026, business intelligence should be radically simpler. You should be able to securely connect your data in a couple of clicks, ask questions in plain language, and have an AI that understands your business proactively surface the insights that matter—before you even think to ask.
That’s the gap we built Erdo to close.
My co-founder Niall spent a decade building large-scale data systems and noticed something important throughout his career: most data work is mechanical. It's connecting sources, writing queries, anonymizing data, cleaning things up, and making charts. This can all be automated with the right AI architecture.
How Erdo Works
- Connect Your Data
Erdo comes with pre-built integrations for common tools like Stripe, Google Analytics, Google Ads, Hubspot, Google Sheets, and many others. For databases, we support Postgres and Snowflake out of the box. Each integration is built to handle the quirks of its source system - date formats, API limits, schema changes. You can also upload CSVs or Excel files directly and Erdo automatically detects their structure. All connections are encrypted and respect your existing access controls.
- Ask Questions
Type questions in plain English and Erdo translates them into Python code. Want to know your customer acquisition cost by channel? Ask. Want to see how shipping times affect repeat purchase rates? Ask. Erdo writes efficient queries, runs them in a secure environment, and shows you the results. If it needs more context, it will ask follow-up questions to make sure it understands what you need.
- Get Visual Insights
Erdo doesn't just dump data into basic charts. It thinks about the best way to visualize each insight. Time-series that would be noisy as line charts automatically get smoothed. Distributions that would be hidden in averages get shown as histograms. Every chart is interactive and updates in real-time as your data changes. Export them for presentations or embed them in dashboards (coming soon).
- Trust the Results
Erdo approaches problems like an experienced data analyst. When you ask about churn, it doesn't just calculate a basic rate - it looks at cohorts, seasonality, and leading indicators. It flags potential data quality issues. If there's a better way to answer your question, it will tell you. And it documents its logic so you can verify its work. Every step of its reasoning creates a data artifact that you can download and inspect. All the code it writes is visible and available, making it easy for human engineers to inspect its approach.
- Enterprise Security
Security is foundational to Erdo.
All data is encrypted in transit and at rest. Each analysis runs in an isolated, sandboxed environment with strict limits and no persistent access to underlying systems. Network access is tightly controlled, and integrations inherit your existing permissions and column-level security.
Access is governed by role-based controls with full audit logging. Infrastructure follows least-privilege principles, with continuous monitoring, vulnerability scanning, and secure key management.
Your data is never used to train shared models, and all learning remains private to your organization. When data is deleted, it is permanently removed according to strict retention policies.
Technical Details
We wrote Erdo in Go for its combination of performance and safety. The runtime handles multiple concurrent queries without blocking, automatically batching and caching where possible. Memory usage scales linearly with query complexity, not data size.
Our Go-based agent architecture is one of the (many) things that makes Erdo special. Unlike simple query translators, Erdo builds an understanding of your data model as it works to solve your questions. It learns which tables join together, which columns contain similar information, and common analysis patterns. When you ask a question, Erdo breaks it down into sub-problems, generates code for each piece, verifies the results, and combines them into a coherent answer. If it encounters errors or ambiguities, it can backtrack and try different approaches. Most importantly, the more you use it, the more it learns about your organization's particular data models (this learning is proprietary to your account and not cross-shared).
Give it a spin
Erdo is launching today in beta, and we will work tirelessly to improve Erdo. We'd love for you to push the limits of what it can handle. Ask impossibly complex questions. Try to make it generate wrong answers. We're particularly interested in edge cases around data modeling and query generation.
Erdo is free to use for up to 100 messages monthly, with paid plans starting at $299 per month. We're excited to finally have this out in the world!
Jeremy & Niall