AI experiences designed to move faster than the market.

AI Technologies Explained

• Text-to-Speech (TTS)

  Text-to-Speech converts written content into natural-sounding spoken audio. It is commonly used for narration, accessibility, and voice-enabled product experiences.

• Speech Recognition (ASR)

  Speech Recognition converts spoken audio into text for transcription and search. Teams use it for captions, meeting notes, and voice-driven workflows.

• Retrieval-Augmented Generation

  Retrieval-Augmented Generation combines document search with language generation to produce grounded answers. It improves factual reliability by referencing trusted sources.

• Image Generation

  Image generation models create visuals from text prompts and style guidance. This helps teams prototype concepts, campaign assets, and creative variations quickly.

• Summarization

  Summarization condenses long documents into concise takeaways. It helps decision-makers review reports, transcripts, and research faster.

• Workflow Agents

  Workflow agents coordinate multiple AI and software steps to complete complex tasks automatically. They can route data, trigger actions, and keep processes consistent.

• Classification & Tagging

  Classification and tagging assign categories or labels to content and records. This supports moderation, routing, analytics, and large-scale organization.

• Recommendations

  Recommendation systems suggest relevant items based on behavior, context, or similarity. They improve discovery across content, products, and user journeys.

• Natural Language Understanding

  Natural Language Understanding extracts meaning, intent, and entities from text. It powers smarter search, assistants, and automation flows that rely on language input.