AI integration for non-tech companies

AI built around how your business works.

Technology companies already use AI to work faster and serve customers better. Your company can too. Tiyuvta builds tailored AI systems for your organization and guides you personally, from the first conversation until the system is running.

  • Tailored systems
  • Personal guidance
  • Private deployment options

Based in Israel, working with companies in Israel and Europe, in Hebrew and English.

Where we start

First, we learn where your day gets stuck.

Before we build anything, we meet your team and management. We look for three things.

  1. Where time is lost

    Copying details from one system to another. Chasing updates before a meeting. Writing the same email again and again. Work like this can be taken off your team’s hands.

  2. Where customers wait

    A question that sits in the inbox overnight. A quote that takes days. A follow-up nobody sent. Faster answers keep customers with you.

  3. Where better information could help

    The answer usually exists: in an old email, a shared folder or a spreadsheet. We bring the right information to the right person when they need it.

What we can build

What it can look like in your business

Then we recommend and build the right solution for your needs, not a generic, one-size-fits-all product. A few examples of AI agents, assistants that carry out a task for your team:

  • An assistant for every role

    It finds a document, checks what was agreed with a customer and drafts the reply. It sees only what that employee is allowed to see, and shows where each answer came from.

  • Inquiries answered, follow-ups sent

    It gathers the details of each new inquiry, prepares a reply for your approval and reminds the right person to get back to the customer.

  • Meetings that start prepared

    Before the meeting: the background, earlier decisions and open questions on one page. After it: a summary and the agreed tasks, sent to the people responsible.

  • New opportunities, found for you

    It looks for companies that suit your service, keeps track of competitors and market changes, and brings your team suggestions to review.

The agents connect to the systems you already use. You decide what happens automatically and what needs your team’s approval.

Questions businesses ask about AI

How we work

Personal guidance, from the first conversation until the system is running.

  1. We meet your team

    We sit with management and with the people who do the work, and learn where the time goes, in your words.

  2. We recommend what fits

    A clear proposal, not a generic product: what to build, what it will cost to run and how we will know it helps.

  3. We build and test it with you

    Connected to the tools you already use and tested on real examples from your work, before anyone relies on it.

  4. We stay with you

    We train your team, document the system and keep supporting it. When it works, we can take on the next process.

You work directly with the people who build your system, in clear language.

Cost and control

AI does not have to be expensive. Your data does not have to leave.

For organizations that need tighter control over sensitive data, we can run AI on your own computers or in your own cloud account, so the data stays in-house. For each task, we research which models and setups give the result you need at a cost that makes sense.

Private AI on your own computers

Why you can trust the recommendation

Our recommendations come from hands-on research.

We publish what we learn about making AI models faster, cheaper and more accurate, and we build open-source tools that anyone can inspect and use.

  1. Shorter thinking: a small change inside a reasoning model that, in our tests, let it reach answers with much less work.

    A beta gate changes what length-penalized RL teaches Qwen3.5

    October 2026Read the noteRead on Hugging Face

  2. A cheaper way for a model to guess its next words, so it writes a little faster.

    Masked MTP drafts

    August 2026Read the noteRead on Hugging Face

  3. Does a smaller, cheaper model format weaken how well a model looks ahead? Once a measurement trap was fixed, the expected loss did not appear.

    I thought NVFP4 broke MTP

    August 2026Read the note

Tell us where the time goes.

If you want to reduce repetitive work, respond faster and give your team more capacity, we can help you put AI to work securely and practically.