Start faster.
Go farther.
Own what compounds.
Summand is Intelligible’s enterprise platform for your organization’s data. As your team asks questions, Summand runs the analysis, shows its work and keeps what it finds with the data behind it, building up your empirical layer: one place for what your team, and every AI tool it uses, knows about your data.
Does grade impact price differently depending on neighborhood?
Yes — significantly. The model includes a grade & long interaction term (shown in the chart above), meaning grade’s dollar impact is not constant across the county — it depends heavily on longitude (a proxy for neighborhood/location).
Start faster
Ask on day one, messy data and all
Everyone’s data is messy. Upload a CSV or connect a database as it is and start asking. Summand analyzes what each question needs, and what it works out builds up with every question, so each answer starts from more than the last. It flags schema changes on ingest, and a freshness checker watches each connector.
CSV is on every plan. Databases and other sources are on Enterprise.
Go farther
Dig deeper
Summand fits models on your data to find what drives an outcome, where effects interact and what’s surprising, and answers your questions from those results. Behind the chat are statistics, SQL, charts, views, schema comparison, model training and prediction, and counterfactuals.
Summand’s charts come from models you can read. When it shows how square footage moves price, that curve is the model itself, the same one it uses to predict. When you need other kinds of models, Summand trains those too, tunes them automatically and keeps every version, so you can compare them and promote the best. Seeing the model also means seeing your data’s problems, like a miscoded value or a gap. Fix it once, then keep building on the corrected data.
Try asking
- What drives churn in this dataset?
- Does grade impact price differently depending on neighborhood?
- Train a model that predicts churn
- What would have to change for this customer to stay?
- What did the last run flag as unusual?
In our research, every leading AI model we tested answered why-questions more accurately with results like these in hand. Read the research ↗
Own what compounds
What Summand learns stays yours
Each result Summand computes is kept in your catalog, with the data it came from and a lineage graph of what feeds what. Put an analysis on a schedule and every run is saved as a new version, so you can see how a finding changed over time. And because every source lands in one store, the views you write, or have Summand draft, can join across all of them.
All of it stays in your workspace and is used for your workspace alone. Your team can reach it from the AI tools they already use, through Summand’s MCP server.
See it on your own data
Bring a messy dataset to a 15-minute call, or start free with a CSV.