RegTech firm Theta Lake has set out how its machine learning architecture has evolved to police an increasingly multimodal communications landscape, arguing that genuinely AI-native platforms are pulling away from rivals that bolt AI onto legacy systems.
The company positions artificial intelligence as its foundational infrastructure rather than an add-on.
Theta Lake recently discussed the evolution of machine learning at the company and building a multimodal foundation.
Its first corporate hire was a chief data scientist, its compliance classifiers have used AI since inception, and its architecture rests on proprietary patents dating back to 2018. The firm has been named a Visionary in the Gartner Magic Quadrant and holds independently verified ISO 42001 and CSA Star for AI Level 2 certifications.
According to Theta Lake distinguished engineer Rohit Jain, the platform was designed from the outset for a multimodal world.
Legacy lexicon-based systems built for email, the firm argues, cannot cope with the nuance of modern channels such as video and chat. Because they cannot generalise beyond syntax into semantics, they generate very high false positive rates, lacking any awareness of context. Read the full article.
