Perceptis AI Brings a Consulting-Informed Approach to Executive Presentations

With just $3.6M in funding, this team from McKinsey and Apple has created a PowerPoint engine that allows anyone to produce high-end consulting decks. Now they are pointing it at the Gulf.

Perceptis AI

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Alibek Dostiyarov watched something interesting happen during his time at McKinsey. 

Colleagues who were brilliant analysts, strategists, and consultants were spending hours upon hours wrestling with presentation software. The irony was not lost on him: the people who could think through complex problems better than almost anyone were being held back by tools that could not keep up with their thinking.

“The amount of time that goes into internal processes is extremely labor-heavy,” Dostiyarov says. “These workflows lend themselves almost perfectly to what generative AI is capable of doing.”

There is no shortage of AI presentation tools. Those that would actually satisfy a consultant or a corporate professional are very few. Perceptis owns that category.

The competition has poured tens to hundreds of millions into this space. Perceptis raised just $3.6M. And yet, Perceptis continues to rank highly. The Analyst Academy has published live test results showing Perceptis ahead of significantly better-financed competition. The Caliper Lab evaluated Perceptis head-to-head against another leading AI language model and identified Perceptis as the winner. Design Arena, widely considered the most influential benchmark for AI presentation tools, has placed Perceptis among the leaders in its latest evaluation.

“Capability at the frontier is no longer purchased with capital alone,” Dostiyarov explains. “When you understand the domain deeply, you build differently. You know what ‘good’ actually looks like. And then you make it ‘great’.”

The Ex-Consultant Advantage

Perceptis says former consultants from McKinsey, BCG, EY and Deloitte account for almost half of its team.

It’s the core of what makes the product stand out

The analytical rigor, the insight-first delivery, the quality standards- those were built into the essence of the solution by people who spent their careers living inside that world. The engineers build the systems. The consultants teach the AI what great actually looks like.

“In the world where the amount of textual data explodes due to LLMs, separating an executive-worthy insight from the wall of noise is more valuable than ever,” says Yersultan Sapar, Perceptis’s CTO and cofounder, who previously worked on AI products at Apple’s Special Projects Group. “That’s what we do.”

Organic Momentum in Japan and the Gulf

Earlier this year, Perceptis woke up to something unexpected.

Perceptis says hundreds of customers in Japan began signing up, creating board presentations and using the tool regularly before the company had developed a formal strategy for entering the market.

It was organic word of mouth. Someone tried it, shared it with a colleague, and the network effect took over.

“We didn’t push Japan,” Dostiyarov says. “The product found its way there on its own. That’s usually a sign that you’ve built something people actually need.”

The same dynamic is now playing out in the Gulf. According to Perceptis, the platform has experienced growing adoption in the GCC despite the company not initially conducting a targeted launch in the region.

“For this specific capability,” Dostiyarov explains, “it’s the highest-value market in the world.”

Perceptis has spent the last six months focusing on this problem.

“Arabic is where the category breaks,” Dostiyarov says. “The complexity of right-to-left presentation, the bilingual requirement, the regional nuances, it’s genuinely hard. Most tools just don’t handle it.”

For a sovereign fund or a government entity, a deck that doesn’t work properly in Arabic isn’t inconvenient. It’s unusable.

According to the company, Perceptis began investing in this capability before demand had been clearly established, reflecting its longer-term approach to product development.

The Death of the Deck Premium

Here’s what this means for the market.

A three-person consulting shop in Dubai can now produce the same artifact as a tier-one house. Not a similar deck. The same structure, the same consulting-grade output.

That’s both liberating and threatening, depending on where you sit.

Liberating for the solo consultant or entrepreneur who was always doing the work but couldn’t compete on appearance. Threatening for firms that differentiated partly on the premium of the artifact itself, the implied signal of quality a slick deck used to carry.

“What differentiates you is now only the quality of the thinking,” Dostiyarov says. “The deck premium is gone. The playing field has leveled. Which means the actual thinking, the strategic insight, the original analysis, the creative solution, matters more than it ever has.”

This is the democratization argument for AI in professional services: not that it replaces expertise, but that it removes the barriers that used to favor the resourced over the talented.

“Perceptis therefore democratizes access to consulting as an industry,” Dostiyarov says. “The majority of the growth is actually going to come from these smaller firms. Not because the goliaths are going away – they’re not, but because the market is getting bigger, more fragmented, and more specialized.”

The Two Schools That Shaped Everything

One line on Perceptis’s website summarizes the company’s approach: “The Science and The Art of Executive Presentation.”

It refers to the two institutions that shaped the founding team. Consulting and technology companies have developed distinct approaches to structuring information and presenting complex ideas clearly. Perceptis draws on experience across these fields in developing its platform.

“Most people see those as opposing forces,” Dostiyarov says. “Comprehensive versus minimal. Detailed analysis versus authoritative point of view. But where others see a wall, we saw a bridge.”

An executive presentation has one job: help someone make a decision. Business decks don’t have to hurt your eyes. The goal is harmony between storytelling and visual form, because that’s what creates clarity of thought.

That philosophy shapes everything from the product interface to the hiring process. According to Perceptis, its team includes former employees of major technology companies alongside former consultants from MBB and Big Four firms.

“We don’t want to wait until scale exposes the weaknesses in the platform,” Sapar says of the engineering philosophy. “A large part of building a serious technology company is investing in things users may never directly see, because those systems determine whether you can support the next ten thousand users or the next million.”

Entering the Middle East

Perceptis is now building toward the Middle East in earnest. The organic traction in the GCC, combined with the region’s concentration of high-stakes presentation needs, positions presentation creation as a potential area for further AI development.

The product has zero-trust architecture, tenant isolation, and minimal data retention. No training on client data. For the enterprise clients Perceptis serves, that’s not optional.

As AI becomes more widely used in consulting, attention is increasingly turning to which tools are designed around the profession’s particular workflows and presentation conventions, what consulting-grade quality means, and can deliver it at scale, in any language, for any market.

“Perceptis is here to make the executive presentation great,” Dostiyarov says. “We’re not fighting the medium. We’re perfecting it.”

Alibek Dostiyarov watched something interesting happen during his time at McKinsey. 

Colleagues who were brilliant analysts, strategists, and consultants were spending hours upon hours wrestling with presentation software. The irony was not lost on him: the people who could think through complex problems better than almost anyone were being held back by tools that could not keep up with their thinking.

“The amount of time that goes into internal processes is extremely labor-heavy,” Dostiyarov says. “These workflows lend themselves almost perfectly to what generative AI is capable of doing.”

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