AI Data Intelligence Workspace

Turn your data and documents
into intelligence

GoPie reads your structured datasets and the documents that explain them, then answers in plain language. AI-built dashboards and reports back up every answer. No SQL, no setup, no analyst queue.

Datasets CSV · PARQUET · XLSX
Context Documents PDF · DOCX · NOTES
Dictionaries CODES · STANDARDS
GoPie
Data insights
Dashboard
Report

STRUCTURED + UNSTRUCTURED IN · INSIGHTS, DASHBOARDS & REPORTS OUT

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See GoPie in action.

Your workday, before and after GoPie.

The numbers sit in spreadsheets, the meaning sits in documents, and answers wait on whoever writes SQL. GoPie reads both and closes that gap.

Without GoPie
With GoPie
Every question is a ticket for whoever writes SQL.
Anyone asks in plain language and gets an answer in seconds.
The PDFs and notes that explain the numbers never reach the analysis.
Documents sit in the same project and shape every answer.
Dashboards crawl through the BI backlog for weeks.
Dashboards and reports are one click, and stay live.
Messy public data needs days of manual cleaning first.
Cleaning and codebooks run automatically on upload.
global_economy · chat
Which economies grew fastest in 2024?
GoPie is querying gdp_growth · context: imf_outlook.pdf
economygrowthyear
India+7.8%2024
Vietnam+6.4%2024
Indonesia+5.1%2024

India grew fastest at 7.8%, with emerging Asia leading the pack. The IMF outlook ties the surge to strong domestic demand and easing inflation across the region.

▤ gdp_growth.csv▥ imf_outlook.pdf
You stay in the loop
✎ Refine ↺ Show working ✓ Approve

Plain language in. Evidence out.

Ask in the words you'd use with a colleague. GoPie finds the right datasets, runs the query, and answers with the numbers and the context that explains them.

Every answer shows its working: the datasets it queried, the documents it drew on, and the data behind the conclusion. You stay in the loop, free to check the sources, refine the question, or approve and move on.

Explore chat

Dashboards in one click. Not one sprint.

Generate a dashboard from any dataset, or an entire project, in a single click. Then shape it however you like.

Explore dashboards
retail_banking · dashboard
Edit in chat ↓ Data
Deposit growth YoY +12.3% ▲ ACCELERATING SINCE Q2
Deposits by region
NPA ratio, monthly
Accounts by type
SAVINGS 54 CURRENT 22 TERM 24
Edit with a sentence
Make the trend quarterly and add current accounts
01

Dataset or project level

Build from a single dataset, or across everything a project knows.

02

Customise everything

Charts, layouts, filters: deep customisation without touching code.

03

Chat to edit

Rearrange, restyle or extend a dashboard by describing the change.

04

Interrogate & export

Ask questions over the data behind any chart. Download it any time.

From insight to report, instantly.

Turn any insight into a shareable report in seconds, or start from AI-suggested queries and let GoPie draft the first version. You edit and approve before anything is shared.

Explore reports
AI-suggested queries · try one
REPORT · DRAFTJUN 2026

Five economies drove over half of 2024 global growth

India led at 7.8%, with Vietnam and Indonesia close behind. The top five economies together added 2.3 points to the global rate.

Slower growth across the Eurozone offset part of the gain, leaving the world rate at 3.2% for the year.

▤ 2 DATASETS · ▥ 1 CONTEXT DOC ✎ EDIT · SHARE ↗

Under the hood, it's still yours.

No technical knowledge required, but every technical door stays open. Each dataset you upload gets a versioned API endpoint with pagination and filters built in, and a SQL playground when you'd rather write the query yourself.

Explore the developer surface
API · AUTO-CREATED PER DATASET
# every dataset, instantly an endpoint
curl https://api.gopie.ai/v1/datasets/
     deposits/data
  -H "Authorization: Bearer $TOKEN"
  -d region=Midwest

→ 200 OK · application/json
SQL PLAYGROUND
SELECT region,
       ROUND(AVG(balance), 1) AS avg_balance
FROM deposits
WHERE year >= 2019
GROUP BY region
ORDER BY avg_balance DESC;

→ 5 rows · 0.14s

Open source at the core.

GoPie Core is fully open source under AGPL-3.0. Read the code, file issues, self-host it with docker-compose or a Helm chart, or let us run it for you.

factly/gopie
Backend
Go
AI agents
LangGraph
Data & storage
Postgres + S3-compatible store
Vector search
Qdrant
Interface
SvelteKit
Self-host
Docker · Helm

Messy public data, made usable.

Government tables arrive with stray spaces, cryptic headers and a dozen spellings of the same place. Enable data cleaning on a project and GoPie standardises it on the way in, dictionaries included.

Explore data cleaning
RAW UPLOADcrop_raw.xlsx
St_NameYIELD(2024 )
" Iowa " 204
NebraskaNA
Kansas 138
01 Trim stray whitespace
02 Fix column names
03 Standardise values
04 Add code dictionaries

Auto-applied · you review & tweak any step

CLEANEDcrop_yield_2024
state_namestate_codeyield_2024
IowaIA204
NebraskaNEnull
KansasKS138

STATE_CODE ADDED FROM STANDARD DICTIONARY

Not another chat-with-your-data toy.

Plenty of tools bolt an AI chatbot onto a database. GoPie is built around how answers actually get made: data, context, and the artifacts you share.

Capability Generic AI tools GoPie
Plain-language answers from data
Structured tables and unstructured documents, answered together ·
Auto-generated dataset & column descriptions for sharper retrieval ·
One-click dashboards you can edit by chatting ·
Instant reports from AI-suggested queries ·
API endpoint and SQL playground for every dataset ·
Built-in cleaning pipeline for public data ·
You review, edit and approve every output ·
Open source core you can read, audit and self-host ·

Start in minutes

Your data has answers.