iLearningEngines (AILE) investor relations material

Key presentations and announcements

• iLearning Engines addressed recent short seller allegations, noting a special committee is reviewing the claims and a press release was issued to clarify misrepresentations.

• The company highlighted its decade-long development of an out-of-the-box, low-code AI platform for enterprise learning and work automation, supporting over 4 million end users across 12 verticals.

• 2023 revenue reached $420 million, with 97% subscription-based and strong net dollar retention; the company has been EBITDA positive since 2020.

• Expansion plans include further acquisitions, leveraging public company status for growth, and continued focus on organic growth and verticalization.

• The company’s go-to-market strategy relies heavily on value-added resellers, with the top four accounting for 52% of revenue and a global customer base spanning the US, India, Middle East, and other regions.

Industry analysis and strategic insights

• iLearning Engines was an early adopter of paid data licensing for AI training, on-prem/private cloud deployment, and verticalized AI solutions, now seen as industry standards.

• The platform enables rapid deployment (8–12 weeks) with prebuilt, vertical-specific AI models and use cases, reducing implementation cycles and costs.

• Key verticals include education, healthcare, insurance, and enterprise automation, with tailored AI apps for each sector such as claims processing, disease management, and AI-powered tutoring.

• The company’s low-code approach allows enterprises to build and integrate AI solutions without expensive engineering resources, differentiating it from custom, high-cost alternatives.

• Strategic partnerships with over 30 value-added resellers and a growing marketplace have enabled deployment to more than 1,000 enterprises.

Financial and operational highlights

• Gross margins are currently around 70%, with a long-term target of 75%; R&D spend is about 30% of revenue, expected to normalize to 25–27% over time.

• The company has maintained capital efficiency, achieving scale with less than $3 million in equity and leveraging technology partnerships for product development.

• Sales and marketing costs are efficient, focused on enabling the reseller network, with plans to optimize further as the company grows.

• Acquisitions are a key growth lever, targeting companies with lower net dollar retention to enhance upsell opportunities through platform integration.

• Notable use cases include learning automation for safety compliance, insurance claims processing, and telematics data analysis for insurers.