Churn & retention
Spot the customers about to leave — while there’s still time to keep them.
› Which accounts will cancel next month?
New Predict 30-day hospital readmission — a healthcare solution worked end to end, with a live model and a shareable dashboard. See the solution
Langsat AutoML & Auto Analytics. From any data.
Upload your files and ask any question. Langsat does the rest — connecting your data, training models, and delivering answers you can act on. No data team required.
ROWS20M
ACCURACY+8%
Built for data teams
E-CommerceFintechHealthcareLogisticsSaaSReal EstateEducationManufacturingInsuranceMarketingTelecomRetail BankingEnergyHR TechInvestment
What Langsat does for you
Built around how your data really works.
Describe it in plain English
Just describe what you want to know.
Ask in plain English. Langsat figures out the rest — what to predict, which signals matter, and how to learn from your data. You write a sentence, not a pipeline.
Learn from connected data
Better answers from data the way it really lives.
Your information is spread across customers, orders, products, sessions. Langsat connects the dots automatically and learns from the whole picture — no joining, cleaning, or rebuilding required.
Private by design
Your data stays yours.
Langsat runs on our own secure cloud, and your workspace is isolated to your account. Files, models, and predictions are encrypted in transit and at rest — and never used to train models for anyone else.
How it works
How you can use Langsat
Two workflows, one platform. Each walks itself through — hover to pause, click a step to jump.
Data Analytics
Start from any source.
Upload CSV or Parquet files. Point Langsat at your Postgres or MySQL database. Or drop in a warehouse export. Langsat understands all of it.
Schema detection, done for you.
Langsat reads your data and identifies primary keys, foreign-key relationships, timestamps, and semantic column types. You review, you approve — done in under a minute.
Clean data without writing code.
Langsat finds outliers, fills gaps with smart defaults, and removes duplicates — automatically. Or skip cleaning entirely and go straight to answers.
Ask your data anything.
Type a question in plain English — Langsat turns it into the right query, runs it on your data, and returns a clear answer with a chart. Follow up to dig deeper.
Data Science
Start from any source.
Upload CSV or Parquet files. Point Langsat at your Postgres or MySQL database. Or drop in a warehouse export. Langsat understands all of it.
Schema detection, done for you.
Langsat reads your data and identifies primary keys, foreign-key relationships, timestamps, and semantic column types. You review, you approve — done in under a minute.
Train on the graph, not the join.
Our GNN learns directly from your relational structure — no manual feature engineering, no flattening. What would take weeks of SQL takes minutes in Langsat.
Ask your model anything.
Once trained, your model becomes conversational. Ask “who is most likely to churn?” or “explain the top 3 risk factors” and get answers grounded in your data.
Monitor drift in real time.
Langsat tracks input distributions, prediction confidence, and performance against incoming data. Get alerts when things drift — and retrain with one click.
Fine-tune as your data grows.
When new data lands, Langsat picks up where it left off — no full retrain. Pick a refresh cadence, and your model stays accurate as the world changes.
What you can predict
Every prediction your data is hiding.
Each of these is a model Langsat builds straight from the tables you already have — no feature engineering, no pipeline to maintain. Ask the question; get answers you can act on.
Fraud & anomalies
Flag risky payments and accounts the moment they look wrong.
› Is this transaction fraudulent?
Customer lifetime value
Forecast what each customer is worth so you spend where it pays off.
› How much will this customer spend this year?
Demand forecasting
Predict what sells, where, and when — and stop guessing at inventory.
› How many units will we sell next week?
Lead & conversion scoring
Rank every lead by how likely it is to buy, so sales works the best first.
› Which leads are most likely to convert?
Recommendations
Surface the next product, article, or action each user actually wants.
› What should we show this user next?
Credit & default risk
Estimate who will repay — and who won’t — before you approve.
› Will this borrower repay on time?
Failure & maintenance
Catch the breakdown before it happens and schedule around it.
› Which machines will fail this month?
6
ML tasks — regression through link prediction
20M
rows in a single training run
0
joins or feature engineering required
Pricing
Four plans. Every team size.
Start free. Upgrade when you outgrow it. Pay only for what you use with overflow credits.
Save up to 17% with annual billing.
Free
Try Langsat on small datasets
$0
Free forever
Start free- 3 projects · up to 50K rows
- 1 GB storage
- 1,000 credits / month
- All ML tasks · tabular & relational
- Auto-selected model · standard CPU
- Up to 20-minute training runs
- Input & drift monitoring
- Community support
Pro
For serious ML practitioners
$29
per month
Get startedEverything in Free, plus:
- 20 projects · up to 2M rows
- 10 GB storage
- 2,000 credits / month
- Choose any model · up to 24-h runs
- AI, compute & credits — base (1×)
- Email support
Popular
Max
Maximum power, zero compromise
$99
per month
Go MaxEverything in Pro, plus:
- 50 projects · up to 5M rows
- 50 GB storage
- 10,000 credits / month
- Accelerated GPU training
- AI, compute & credits — 5× Pro
- Priority support
Team
Teams, big data & database links
$349
per month
Go TeamEverything in Max, plus:
- 50 projects · up to 20M rows
- 10 TB storage
- 40,000 credits / month
- Premium GPU training
- Database connections (PostgreSQL, MySQL)
- Team seats, roles & shared credits
- AI, compute & credits — 20× Pro
- Dedicated support
All plans include encryption in transit and at rest, network-isolated infrastructure, and least-privilege access controls. Compare all features →
FAQ
Frequently asked questions
What is Langsat, and who is it for?
Langsat is a no-code platform that turns your own data into machine-learning predictions and interactive dashboards. It's built for any team with data — founders, analysts, operators, and data teams — who want to predict outcomes and explore their data without hiring ML engineers or managing infrastructure.
Do I need to know how to code or do machine learning?
No. You upload your files or connect a database and describe what you want to know in plain language. Langsat handles the rest — connecting your data, choosing and training the right model, and giving you answers you can act on. No code, no SQL, and no ML expertise required.
What kind of data — and questions — does it work with?
Bring CSV or Parquet files, or connect a database. From there you can ask things like who's likely to churn, which transactions look risky, what demand will be next month, or a customer's lifetime value — anything you can frame as a prediction or a question about your data.
How fast can I get my first result?
Minutes. Upload a file, ask a question, and Langsat trains a model or builds a dashboard for you — with no pipelines to wire up first. You can start free and have a working result in the same session.
Is my data private and secure?
Yes. Your data stays isolated to your own account, encrypted in transit and at rest, and is never used to train models for anyone else. You own your data and the models trained on it, and you can delete them anytime.
Read our Privacy PolicyA small light in the deep.
Your data has patterns. You already know that. Langsat is the fastest way to find them, ship them, and keep them fresh.