How Delphi leverages AI to create digital clones of thought leaders

Digital cloning platform Delphi's mission is to democratize access to high-level mentorship and expertise for its wide range of users. By creating interactive digital representations of influential figures, the platform breaks down barriers that have traditionally limited personalized coaching to a select few.

This innovative approach goes beyond simply scaling access to information—it creates a dynamic ecosystem where users engage in personalized dialogues with virtual versions of today's most influential minds.

The implications are far-reaching. Delphi's digital clones serve as conduits of wisdom, ensuring that insights and experiences transcend time and geographical boundaries. This creates a living, interactive legacy for each thought leader while fostering a cycle of progress.

As more people gain access to high-quality, personalized guidance, the potential for innovation across various fields increases, accelerating personal and professional growth on a global scale.

This revolutionary approach to knowledge sharing has come with its own unique set of challenges. Transforming diverse bodies of work into interactive, intelligent clones presents formidable technical hurdles. As Sam Spelsberg, Delphi's CTO, explains:

The content used to train these digital clones often comes in various formats, including audio and video. Spelsberg notes:

Adding to the complexity, Delphi serves a global customer base. "We also have a global customer base and much of our customers' content is in languages other than English," Spelsberg adds.

These obstacles created a clear challenge: how to efficiently and accurately transcribe this diverse, multilingual content to train the AI clones?

To address these challenges, Delphi turned to a partnership with AssemblyAI.

Key features that proved invaluable for Delphi include:

• Automatic Language Detection (ALD)
• High-quality Speaker Diarization (speaker labeling) with accurate timestamps

Delphi has significantly expanded its language processing capabilities and is now able to accurately detect and transcribe content in a much wider range of languages. This advancement, coupled with high-quality speaker identification and precise timestamp generation, has greatly enhanced the platform's ability to create accurate digital clones.