Innodata(INOD)2024-11-09 22:07Financial Data and Key Metrics - Revenue for Q3 2024 reached 13.9 million, or 27% of revenue, up from 17.4 million in Q3, up from 0 last quarter [35] - Cash reserves increased to 10 million from last quarter [6] - Adjusted gross margin for Q3 was 44%, reflecting a sequential increase from 33% in Q2 [33] Business Line Data and Key Metrics - Generated 27.6 million quarterly revenue once fully ramped [7][8] - Seven other Big Tech customers are expected to become a significant part of the revenue makeup next year, with one prominent social media platform signed in Q3 [9][10] - Agility platform saw 26% year-over-year growth in Q3 and acceleration in new bookings [28] - Second win with the federal government in Q3, providing news briefs and media monitoring to a second federal agency [15] Market Data and Key Metrics - Big Tech companies are investing aggressively in generative AI, with several signaling increased investments in 2025 [18][19] - Morgan Stanley estimates Amazon, Google, Meta, and Microsoft combined CapEx to reach approximately 337 billion in 2026 [19] - The company is focusing on providing supervised fine-tuning data for Big Techs, which is critical for training large language models [20][21] Company Strategy and Industry Competition - The company's strategy encompasses both services and platforms, aiming to be a go-to partner for Big Techs building generative AI frontier models and enterprises adopting generative AI technologies [16][17] - The company is leveraging its B2B industry platforms and enterprise platforms for niche use cases, with Agility being a key application [17][28] - The company is focusing on expanding into the public sector, with federal sector wins validating this strategy [15] Management Commentary on Operating Environment and Future Outlook - The company is raising its 2024 full-year revenue guidance, anticipating revenues between 55 million in Q4, translating to 88%-92% year-over-year growth [6][38] - Management believes generative AI is still in its early innings and that high-quality training data will be critical for high-performing frontier models [68] - The company is optimistic about the momentum with Big Tech customers and expects them to become a significant part of the revenue makeup in 2025 [43] Other Important Information - The company has made significant progress in building a strong talent base and workplace culture, with several senior-level hires and multiple workplace awards [29][30][31][32] - The company has demonstrated a prototype of its new platform to three Big Tech customers and several enterprises, which has been well-received [25][26] Q&A Session Summary Question: Composition of Q4 revenue growth - The company expects continued momentum with its largest customer and sees potential for growth and expansion in 2025 [42][43] Question: Role of data engineering in AI model training - The company confirmed that supervised fine-tuning data is critical for building high-performance AI models and creating new use cases [44][45] Question: Recruiting costs and operating leverage - Recruiting costs decreased to $500,000 in Q3, and the company expects to manage these costs effectively while maintaining operating leverage [49][50][52] Question: Quality assurance in data engineering - The company emphasized the importance of data quality and agility in maintaining strong relationships with Big Tech customers [57][58] Question: Agility platform growth and initiatives - The company is all-in on generative AI for the Agility platform, which has seen increased win rates and market share [59][60] Question: Federal wins and enterprise opportunities - Federal wins are seen as a sharp edge of the wedge for bringing immediate value, with potential for future growth beyond 2025 [62][63] Question: Scaling with other Big Tech customers - The company is optimistic about scaling with other Big Tech customers, leveraging the same playbooks and capabilities used with the largest customer [65][66]