A product that sells itself - until it doesn't

Tonia Samsonova built exactly ai around a specific problem: enterprise brands spend significant resources maintaining visual consistency, and general-purpose generative AI consistently fails to deliver it. The technology is probabilistic by nature. Brand identity is not. exactly ai built custom pipelines that allow large consumer brands to generate visuals that genuinely match their own assets - not close approximations, but work that meets the standard of customer-facing production.

The product found strong early validation. Commercial growth was slower to follow.

exactly ai had built a large inbound audience through their consumer product. Some of those users turned out to be enterprise buyers. But inbound alone could not reach the specific decision-makers they needed - product managers, integration leads, and heads of digital at companies with established illustration systems. Those buyers do not discover vendors through organic channels. They need to be approached directly.

For a long time, Tonia resisted that conclusion. Cold outbound felt at odds with how she thought about building a company. "If you build a great product, it sells itself," she says. "Yes it does. But sometimes you need to grow faster."

That tension - between building something worth buying and actively going out to sell it - is what eventually brought exactly ai to throxy.

Why their ICP made outbound hard

The challenge was structural. exactly ai's ideal customer cannot be identified from a spreadsheet. You qualify a prospect by looking at their brand - do they use custom illustration? Is visual consistency a genuine priority, or an afterthought? That is a judgment call, not a data filter. No automated email sequence can make it.

Cold calling can. A trained SDR on a live call can ask qualifying questions, listen to the response, and decide in real time whether the company is worth pursuing. throxy built exactly ai a phone-first campaign with this at its core - qualification happening on the call, before any meeting was booked.

An honest account of the early months

The first months were not straightforward. exactly ai came to throxy mid-pivot, without a fully defined ICP, settled pricing, or a clear messaging brief. The conditions for a smooth campaign launch were not in place.

The partnership nearly ended several times. Tonia describes it plainly: "Every week on Friday it would be like - we should stop working with throxy. And we are now on retainer."

What kept it moving was a feedback loop. Data from calls helped exactly ai sharpen their own understanding of the market - which companies converted, which objections recurred, what the pipeline was telling them about their positioning and price point. "The feedback that we were getting from you helped us to understand better our pricing and how we should charge."

throxy adapted alongside them. New ICP definitions, revised talk tracks, tighter qualification criteria. The campaign improved as the brief became clearer.

Chosen from a field of ten

Once exactly ai decided outbound would be a core part of their go-to-market, Tonia evaluated the market properly. Her team gathered proposals from ten vendors. She attended meetings with the shortlist and built a comparison table.

They chose to continue with throxy.

Her reasoning was considered. Established SDR agencies carry legacy processes and fixed playbooks built before AI changed how outbound works. Adapting is harder when you are already number one. "If you're working with a top company that's been around for 20 years, you don't expect them to change so quickly and adapt. We're coming through a shift in technology and if you're number one, it's much harder for you to change everything. If you're a newbie, you adapt much faster. Which we saw."

The outcome

Meetings came in with the companies exactly ai needed to reach - Monotype, Bynder, Box, Sitecore, PicsArt, Dotdigital, REWE International, and others across creative technology, digital asset management, and enterprise software.

The qualified rate on attended meetings was high. The large majority were booked via phone rather than email.

exactly ai responded by expanding the engagement - moving from a per-meeting model to a monthly retainer and broadening the ICP scope. The relationship shifted from vendor to ongoing commercial partner.