AI can write the code. The hard part was always the data.
Klarety puts your data in order first, then builds, runs and scales your apps, agents and models on top of it.
Data/orders
Meet Nexus. The data core that never gets too big.
Everything your business knows, in one secure place. Built so you never think about size, speed or backups again.
Connect our store, our accounting tool, the warehouse system and the shared drive.
- Online storeOrders, customers, productsWaiting
- AccountingInvoices, paymentsWaiting
- Warehouse systemStock, shipmentsWaiting
- Shared driveContracts, photos, exportsWaiting
- Field appNo connector existedNo connector yet
0
rows in one place
- orders
- customers
- products
- invoices
- payments
- stock
- shipments
- contracts
- photos
- site_visits
Any data, any amount
One file or a million. A few rows or billions.
Nothing lost quietly
A broken row is set aside with its reason. The rest loads.
Fast as it grows
Reorganises itself for speed. No tuning, no migration day.
Every version kept
See any table as it was. Put anything back in one click.
A second brain for your business. Every record linked in one knowledge graph.
Customers, orders, suppliers, invoices and contracts: Nexus links them and keeps the map current, so one question reaches all of it.
Explore the knowledge graphAcme Org/Ask the map
Three orders, the products in them, and the suppliers behind each one.
Code is written once. Data has to hold up every day. So everything you build stands on Nexus.
Apps, agents, models and answers, described in your words and built on the same foundation.
Live orders
| Order | Customer | Status |
|---|---|---|
| #4471 | Halden Foods | Late |
| #4472 | Mirren & Co | Shipped |
| #4473 | Oslo Bakeri | Shipped |
| #4474 | Tandem Labs | Late |
| #4475 | Vale Market | Packed |
Real power. Real limits. You keep the keys.
Everyday work just happens. Big changes wait for your yes. Some things are never the AI's call.
Replace 2,340 rows in orders with corrected delivery dates from the warehouse export?
Nothing in the live table changes until you say yes.
Held. Nothing in the live table changed.
- Erase data for goodRefused
- Put a version liveRefused
- Add people to the teamRefused
- Read your passwords and keysRefused
Refused by name, with the reason, so the agent tells you who can do it instead of looking for a way round.
The AI works in a sealed space
Dedicated to each run, and closed to everything you have not allowed.
- Your keys stay yours
- Passwords and keys are never shown to the AI, whatever it is building.
- Sealed by default
- Nothing reaches the outside world unless you allow it, and you can stop it at once.
- Dedicated to every run
- Each run works alone, starts clean and ends clean. Nothing is shared or carried over.
Runs any model, including your own
- Anthropic
- OpenAI
- Gemini
- Mistral
- Meta
- DeepSeek
- Hugging Face
Your biggest day should feel like any other day. One click live, one click back.
Ship from GitHub with private previews, scaling that follows the crowd, and a cap on spend.
Explore Deploy- mainProduction, v42Live
- feature/portalPreview, team onlyPrivate
- v41Last good release
- Requests / s
- 131
- Instances
- 1
- p95 latency
- 38 ms
- Errors
- 0
A quiet hour. One instance, billed by use.
- GitHub or GitLab
- Connect, press Deploy. Every branch gets a private preview.
- Scales with the crowd
- Up with traffic, down when quiet. Pay for what you use.
- Prepaid, capped
- At zero, things pause. Nothing is lost. No surprise bill.
Everything you can click, you can code. The web app, the SDK and your own AI editor share the same routes.
$ pip install klarety$ klarety ingest ./orders.csv --into orders Loaded 128,402 rows. 11 set aside with reasons.$ klarety sql "SELECT region, sum(total) FROM orders GROUP BY region" Estimated 0.4 credits. 6 rows.
Nothing behind a button
A Python SDK, a CLI and a complete, versioned API.
Open table formats
Apache Iceberg and Parquet. Any engine that speaks Iceberg can read your tables.
Tests never touch live data
Every test works on a private copy and leaves nothing behind.
Git at the centre
Every change is a commit, every push can be a deploy.
Frequently asked questions. Answered plainly.
Thirty minutes to a first app. Terabytes. Millions of users. Here is how.
What is Klarety?
Klarety is a data-first AI platform. Bring all your data into one secure place, then build apps, agents and models on it.
What is Nexus?
The data core inside Klarety. It stores all your data from every source, links it into a map of your business, keeps every version, and reorganises itself for speed as it grows, without you managing anything.
Why data first?
Because the hard problems in software are data problems. An app built on scattered, unscalable data breaks the day it succeeds. Klarety puts the data in order first, so everything built on it holds.
Do I need to know how to code?
No. You describe what you need and approve what matters. If you do code, the full SDK, API and Git workflow are open to you.
How fast can I have an app?
A first working version on your own data in about thirty minutes. Then add features, analytics and AI with further prompts.
Can it handle terabytes and millions of users?
Yes. Nexus is built for terabytes and keeps itself fast as it grows. Apps scale automatically with traffic. You never resize a server or tune a database.
Can I connect my existing tools?
Yes, and almost anything else. Describe it in plain words: an app with an API, a Postgres or MySQL database, or your own storage bucket. The AI reads that service's own docs and drafts the connection, and you add the key once. It is sealed on arrival and the AI never sees it.
Can I run my own AI model?
Yes. Fine-tune on your own data or host your own language model, served through a secure door inside your app, on compute you pay for only while it runs.
Is it safe to let AI work on live data?
Yes. Big changes wait for your approval, dangerous actions are refused outright, and every change is signed, logged and reversible.
Is my data or code locked in?
No. Data is stored in open table formats (Apache Iceberg and Parquet) that your own tools can read. Code lives in Git on GitHub or GitLab. Both are always yours.
What does it cost?
You pay ahead for what you use: storage, compute and AI, each metered and shown. You set a limit. If credits run out, things pause and nothing is lost.