RegniteBook a call

Execution got cheap. Direction didn't.

AI lets anyone build almost anything, fast. It's never been more critical to decide:

  • what you stand for
  • who you want to attract
  • why they should care

Regnite helps mid-size companies make those decisions, then build and test them with AI in weeks.

Book a 30-minute callSee the approach →
You'll get a straight answer on the call, including if we're not the right fit.
01 The problem

Your competitors have the same AI tools you do.

Same models. Same agencies. Same playbooks. The result is more content, more features and more pilots, and customers who still can't tell you apart.

Speed without direction gets you to the same place as everyone else, sooner.

12 companies · same toolsno one stands out

Patterns we see companies struggle with

AI makes each of them worse.

  1. Not knowing why a customer would choose you if your price matched the cheapest competitor's.
  2. Trying to win everyone, without deciding which customers you'd be happy to lose.
  3. Running AI pilots that nobody uses every day and that haven't moved a number you report.

Recognise one of these? That's where we start.

02 What Regnite does

Two things, done properly.

Positioning · differentiation

Find your edge.

Decide what makes you worth choosing, and prove it with real customers before you commit the budget.

  • Positioning that holds up once real customers see it
  • Who you're for, and who you're not
  • Offers, messages and concepts tested with real buyers, fast
AI prototyping · integration

Build it fast.

Turn decisions into working things with AI: prototypes, tools and workflows that are tested, measured and in use.

  • Where AI pays off in your business, and where it doesn't
  • Working prototypes in days instead of decks in months
  • Integration into your team and systems, built with the people who'll use them

Most firms sell you one or the other. An edge that never gets built stays a slide. A build without an edge is expensive noise.

03 The approach

Decide. Build. Stay sharp.

01 · Sprint 2 weeks

Decide where to go.

We work out where you should go and what's worth building. You get decisions, not a deck.

from €18,000
02 · Build 4–12 weeks

Build the best bets.

We build and test the most valuable bets with AI and real users, then put them into daily use.

from €1,600 / day
03 · Stay sharp monthly

Keep the edge.

A senior sparring partner on call while your market and the AI models keep changing.

from €3,200 / month
Book a call to scope it →

All prices in EUR, excluding VAT. "From" prices grow with company size and complexity.

Yanay Zohar, founder of Regnite
04 Who you work with

Trained where decisions cost millions. Builds like a startup of one.

Worked at
Clients
20+years in product, design and strategy
30+projects delivered
6Labs products owned, 2 released

At Visa, I led projects in digital identity, crypto and instant B2B payments. At McKinsey Digital Labs, I shaped digital transformations of leading financial, pharmaceutical and consumer conglomerates.

I still build. My own AI products have real users, so what I tell you about AI comes from last week's work, not a vendor's slide.

More about Yanay on LinkedIn →
05 Working together

What to expect.

  1. 01

    You work with the founder.

    You won't get a partner who sells and a junior who delivers.

  2. 02

    Fixed scope and fixed price for the Sprint.

    You know the cost before we start.

  3. 03

    Something real every week.

    A decision, a test result or a working prototype.

  4. 04

    We'll tell you when an idea is weak.

    Ours included.

  5. 05

    If AI isn't the answer, we'll say so.

  6. 06

    "Done" means in use.

    Handing something over doesn't count.

06 Labs

I test it on my own products before you pay for it.

I build my own products to learn what AI can really do, and what it can't do yet. They have real users, real feedback, and were shipped by one person working with AI agents.

All Labs projects →
What building them taught me
  • miniMany

    No matter how small your product is, a careful matching of LLM models per task can lead to dramatically better overall results. There is no single "best" model.

  • Immersiom

    While AI is great at pattern recognition, it largely struggles to predict what a human would easily judge as significant changes in a musical piece.

07 Talk

30 minutes.One sharp question.A straight answer.

Tell us what you're trying to win. We'll tell you whether we can help, and if we can't, who can.

Book a callhi@regnite.io