How Predis.ai powers creative production for 100k+ users monthly with Polotno

KEY HIGHLIGHTS

30% users engaged

Up to 30% of monthly active users rely on Polotno-powered editing workflows

Launched in <2 weeks

Polotno enabled rapid deployment of a production-ready creative layer

4+ months of engineering saved

Predis avoided rebuilding a rendering and template engine in-house.

30% users engaged

Up to 30% of monthly active users rely on Polotno-powered editing workflows

Launched in <2 weeks

Polotno enabled rapid deployment of a production-ready creative layer

4+ months of engineering saved

Predis avoided rebuilding a rendering and template engine in-house.

COMPANY

Predis.ai is a generative AI SaaS platform that creates branded and editable social media content using a few lines of text, product details, or blog content. To support large-scale content generation, Predis embedded Polotno as the creative production layer inside their product, enabling high customization and scalable user workflows.

Challenge

Predis.ai needed to deliver editable, AI-generated social media content at scale. Building and maintaining an in-house rendering engine and design layer would require deep expertise in HTML canvas, low-level graphics APIs, template logic, and ongoing edge-case handling – diverting resources away from their core AI roadmap.

Solution

By embedding Polotno as the creative production layer inside their platform, Predis.ai avoided building internal rendering infrastructure. The integration enabled rapid deployment of scalable editing workflows, reduced architectural complexity, and allowed the team to focus engineering effort on advancing their AI capabilities rather than maintaining graphics infrastructure.

Challenge

Predis.ai needed to deliver editable, AI-generated social media content at scale. Building and maintaining an in-house rendering engine and design layer would require deep expertise in HTML canvas, low-level graphics APIs, template logic, and ongoing edge-case handling – diverting resources away from their core AI roadmap.

Solution

By embedding Polotno as the creative production layer inside their platform, Predis.ai avoided building internal rendering infrastructure. The integration enabled rapid deployment of scalable editing workflows, reduced architectural complexity, and allowed the team to focus engineering effort on advancing their AI capabilities rather than maintaining graphics infrastructure.

THE CHALLENGE

Overcoming development hurdles and time constraints to enhance the core product

Predis.ai needed a reliable way to generate editable social media posts on top of their AI system. Building a rendering engine and design infrastructure in-house posed a significant architectural challenge due to limited resources and the complexity of HTML canvas and low-level graphics APIs.

Their core competency was AI – not building and maintaining a production-grade creative engine. Diverting focus toward solving rendering, template logic, and editor edge cases would slow down their core roadmap.

THE SOLUTION

Embedding a production-ready creative engine

Polotno provided the embedded creative infrastructure Predis needed. Rather than building and maintaining their own rendering pipeline, template engine, and editing surface, Predis integrated Polotno as a core subsystem within their platform.

The integration process took approximately a week.

“We try and experiment a lot faster than what usually people do, so it was not more than a week with some initial bugs and fixes.”

Once integrated, Polotno became the engine powering user-editable outputs generated by AI. This allowed Predis to focus engineering effort on improving AI models and business logic instead of managing low-level graphics complexity.

"It was a very copy paste kind of thing that we initially did. It was up and running pretty quickly… within 1 or 2 weeks"

Aakash Kerawat

Co-Founder @ Predis

THE OUTCOME

Scaling user-generated content without internal rendering overhead

With Polotno embedded as the creative production layer, Predis deployed editable AI-generated content to 100k+ users monthly.

The integration:

– Accelerated time to production
– Reduced architectural risk
– Eliminated months of internal editor development
– Supported ongoing iteration without core infrastructure rewrites

Aakash estimated that integrating Polotno saved over four months of engineering effort that would otherwise have gone into building and stabilizing an internal editor and rendering engine.

Polotno now operates as the underlying creative engine inside Predis’ platform. Replacing it would require rebuilding the rendering and template system from scratch.

Beyond the technology itself, responsive support and rapid updates ensured Predis could evolve their production workflows in parallel with user demand.