01
One conversation across your data
Ask plain-language questions across databases, spreadsheets, local files, and connected tools.
Your data hasa new interface.
Ask questions across databases and files, then turn answers into reports and recurring checks. Next, Daita is bringing the same intelligence to messy incoming data.
Quick Start
macOS + LinuxGet Started
One command installs Daita and opens guided setup. Connect a model and your data, then ask your first question.
Three steps to your first answer
- 01Install
Run the managed installer in your terminal.
- 02Connect
Choose a model and connect the data you want to use.
- 03Ask
Ask a question and see the supporting evidence.
01 / Install DaitaPaste into your terminal
$
curl -fsSL https://daita-tech.io/install.sh | bashAvailable for modern macOS and Linux systems.
02 / LaunchReopen anytime
$
daitaData agent
Ask a question. Leave with work done.
Daita finds the right evidence, explains the answer, and turns it into a report, export, or recurring check. You stay in control of every change.
Connected context / useful outputsEvidence visible / changes approved
02
Answers you can trust
See the evidence behind every result and review any proposed change before it happens.
03
Work that keeps moving
Turn useful analysis into a report, export, or recurring check without starting over.
Data pipeline
In development / coming soonTurn messy files into data your systems can use.
Choose a file and destination. Daita matches fields, catches quality issues, connects related records, and asks you only when business context matters.
SourceMeaningDestination
Records18,420
Fields matched24 / 24
Records ready94.2%
✓
File understood18,420 records · 24 fields · 3 sheets
✓
Fields matchedAll 24 fields connected to the destination
✓
Quality checks passedFormats, required values, duplicates, and relationships reviewed
Connecting portfolio ownersMatching each portfolio to the right customer account
One detail needs your input
Two records match “North Star Holdings.” Which account owns this portfolio?
Your answer keeps the import moving.Match
Connect each incoming column to the right destination field.
Check
Find missing values, invalid formats, duplicates, and broken relationships.
Clarify
Bring you in only when the data cannot explain itself.
Clean
Standardize names, dates, categories, and formats with repeatable fixes.
Connect
Link related customers, accounts, orders, and other records.
Prepare
Build a reviewed loading plan once the data is ready.
Load
Deliver validated records with clear progress from start to finish.
Understand what happened.Get the right data where it belongs.
01
Ask
Get clear answers from the data you already have—and turn them into reports, exports, and recurring checks.
See Data Agent02
Move
Clean, match, and load incoming files into the systems your team already uses.
See Data PipelineOpen source and built for people who need more from their data.