Replies to customer requests
Drafts an answer by your rules and in your tone. The operator checks it and sends — instead of typing from scratch.
Own language model · runs in your network
An AI assistant you can trust with internal documents.
Kalorad drafts replies to customer requests, finds answers in your regulations and writes letters and code. It runs on your server: requests and documents never go to foreign AI services.
Ukrainian · English · Russian · code — OpenAI-compatible API
The parcel has been at the branch for six days. Can I still collect it, and is there a storage fee?
Draft replyHello! Your parcel is still at the branch and you can collect it. The storage terms are in the regulation excerpt below.Source: storage regulation, section 4
The operator checks the draft and sends it
What it does
Routine text work, done in seconds.
For the pilot you pick one scenario — the one where your people lose the most time.
Search across regulations
Answers questions about internal rules and instructions and shows where the answer comes from.
Letters and documents
Drafts letters, memos and standard documents from a few lines of input.
Sorting requests
Gives each incoming request a topic and a confidence score. Unsure cases go to a person, not to the wrong queue.
Code and scripts
Writes and explains code, SQL and automation scripts. Code is almost half of the training data.
Your systems stay as they are
The server speaks the OpenAI API, so existing tools and integrations connect without rewriting.
Security
Your data stays in your building.
Not a wrapper around someone else’s API. The model, its training and the answer server are ours — so nothing has to leave your network.
Works without internet
Kalorad is installed on your server in a closed network. Requests and documents are processed right there.
No foreign vendor
The model is trained from scratch by our team. There is no third-party licence that can be revoked or changed.
Your data is not our dataset
Tuning for your tasks happens on your server and stays yours. We do not train the general model on your data; updates reach you as packages.
Encryption and an NDA
Data is stored encrypted, only your staff has access, and we are ready to sign a non-disclosure agreement before the pilot.
Free pilot
Eight weeks. No obligations.
The pilot is free and creates no financial obligations. It starts only if the answers suit you on your own examples.
- Before the pilot
Check on your examples
You send 20–30 typical requests, we show the answers. Nothing is installed yet.
- Week 1
Scenario and success criteria
We agree on one scenario, how success is measured and who takes part.
- Weeks 2–3
Installation on your server
Deployment in your closed network and tuning on your documents.
- Weeks 4–7
Real work
A group of your employees uses Kalorad every day and rates the answers.
- Week 8
Report and decision
Results against the agreed criteria and recommendations. What happens next is your call.
What we need from you
- One contact person on your side
- A Linux server in your network with a 16 GB+ GPU (for the pilot a CPU server also works, just slower)
- Documents for the chosen scenario
- 5–10 employees to test it
Pricing
Start free, decide on results.
Pilot
Free
8 weeks · one scenario
- Check on your examples before the start
- Installation and tuning by us
- Report with measured results
On your server
By agreement
Annual licence after the pilot
- Model updates as packages
- Tuning for new tasks
- Special terms for the first partners
Personal use
Free to start
Web chat and apps for Mac, Windows and iPhone
- Free plan to start
- Paid plans for more messages and modes
- Your ratings improve the model — only with your consent
Where we are
What is ready today.
683M
parameters in the first fully trained model (September 2026)
13.1B
tokens of training data behind it
1.24B
parameters in the production version — training on MareNostrum 5 (EuroHPC), expected November–December 2026
Pilots run on the production version, after the check on your examples.
Questions
Frequently asked
Does Kalorad need internet access?
No. After installation it works entirely inside your network. Updates arrive as packages that your team installs.
Which languages does it understand?
Ukrainian, English and Russian, plus program code. All of them were in the training data from the start.
How does it connect to our systems?
Through an OpenAI-compatible API. Most tools that work with such APIs connect by changing the server address.
What hardware is needed?
A Linux server with a GPU with 16 GB of memory or more. For the pilot a CPU server is possible too — answers are just slower.
What happens to our documents?
The pilot runs on your server, so your documents stay with you. For the check before the pilot you send us 20–30 examples — pick ones without personal data.
How much does it cost after the pilot?
An annual licence for your server. The price depends on the scope and is agreed with you before the pilot ends; the first partners get special terms.
Can we try it before a pilot?
Yes — that is the check on your examples: you send typical requests, we return the answers. Nothing needs to be installed on your side.
Contact
Tell us which task takes the most time.
We will propose a pilot scenario and a list of examples for the check. Write in Ukrainian, English or Russian.
help@kalorad.appLviv, Ukraine