Reveal Upgrades More Than Software Training

The story of its game-changing replatform to Lamatic.ai

Overview

Reveal, founded by Johan Hoernell and Phillip Allan, is transforming enterprise enablement with an AI-powered platform designed to turn enablement into a competitive advantage. The platform personalizes and delivers up-to-date content directly to users, enabling faster software adoption without the high cost of traditional training. With deep expertise from their previous roles at McKinsey and BCG, Johan and Phillip set out to revolutionize how companies onboard and engage users on new software platforms.

The Challenge

A previously successful tech entrepreneur and former McKinsey consultant, Johan saw an opportunity. In late 2023, he began iterating on the idea with Phillip - a colleague with deep expertise solving user enablement challenges at BCG. They conceived and created an enablement platform prototype and MVP using the GenAI application framework Langchain. The product was quickly validated by enterprises looking to boost the return on their technology investments. With that, a new company was born which they decided to name Reveal.

While pleased that customers were embracing Reveal’s product, iterating and scaling its AI features proved challenging. The effort required to keep the platform current as models, backend tools and infrastructure requirements evolved at a manic pace meant that delivering Reveal’s long list of AI-powered features and capabilities weren’t making it into the product as quickly as Johan - and Reveal’s customers - wanted. This left Johan and Phillip searching for a way to accelerate Reveal’s development and reduce technical overhead while also ensuring the high-availability and exceptional performance their enterprise customers were looking for.

A Fortuitous Encounter

During the SaaStr annual software conference, Johan and Phillip met Chuck Whiteman, co-founder of Lamatic.ai, over lunch. As they listened to Chuck talk about Lamatic’s solution, they were intrigued. If it worked as he described, it would eliminate a ton of tech debt and allow Reveal to better focus on delivering the features customers were requesting. Not only that, the Lamatic solution appeared to offer faster performance, greater flexibility, lower maintenance costs and a much higher degree of certainty that Reveal’s AI features were working as expected 24x7. This possibility piqued Johan and Phillip’s interest and they decided to test Lamatic out by sharing one of Reveal’s tough GenAI use cases.

The Solution: Replatforming with Lamatic.ai

Within a week and a half, Lamatic returned the use case—solved. Johan tested three more complex use cases, all of which Lamatic supported easily. Impressed by how Lamatic’s managed solution would allow them to focus on the things customers were requesting, Johan and Phillip decided to fully replatform Reveal’s AI components onto Lamatic.ai. The results were nothing short of transformational.

The Results

  • Codebase Reduction: Reveal eliminated over 50% of its custom AI-related code by using Lamatic’s managed platform.  
  • Performance Gains: Reveal’s platform now runs more than twice as fast, providing a seamless user experience.  
  • Faster Feature Delivery: Johan estimates that new AI features are being implemented 5x faster than before.  
  • Scalability: Lamatic’s automated updates ensure Reveal meets the demanding SLAs of enterprise customers without constant manual intervention.  

The Impact

For a tech company like Reveal, this replatforming has been a game-changer. The reduced technical debt and faster time-to-market for new features have allowed Johan and Phillip to focus on scaling the business and delivering exceptional value to customers. The move to Lamatic.ai not only enabled Reveal to solve immediate technical challenges, but it also positioned them for long-term success in the competitive enterprise enablement market.

Johan Hoernell
CEO, Co-Founder

Lamatic has supercharged our AI development and allowed us to deploy complex AI workflows faster than ever.

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