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Dynamic Prompt Engineering for your LLM Applications.

Lack of Conversation. LLMs lack conversation - an intuition to know what is being asked and said defined by natural dialogue. Why? Because they are largely trained on text pulled from the Internet, and that is not how we really talk.

The End of Static Prompts. Making AI interactions truly human-like is hard. Teams often spend hundreds of hours tweaking prompts and conversational logic to only fall into an uncanny valley of edge cases. Olive provides contextual hint generation - a conversation co-pilot, automatically inserting prompt fine-tuning. Olive saves massive development time and ensures consistency: every response adapts perfectly to user tone and confusion level without you lifting a finger.

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Conversations with Intuition.

Linguistic Intuition

From Prosody to Sociolect Recognition.

Insight

Prosody

Spoken language carries meaning not only through words, but through how they are said. Intonation contours, stress patterns, pitch modulation, and rhythmic pacing signal emphasis, uncertainty, contrast, or emotional states. Training models on voice conversations could help AI learn to interpret such prosodic cues as part of semantic and pragmatic meaning. This may yield systems that can better distinguish a sarcastic remark from a genuine compliment, or a hesitant suggestion from a confident assertion.

Analysis

Sociolect Recognition

Different speakers bring different linguistic backgrounds into a conversation. Accent, dialect, code-switching, and speech rate can all shift dynamically in response to audience and topic. Training on natural voice data might enable models to pick up on these subtle variations and adjust their interpretations accordingly, fostering inclusivity and better performance across diverse communities.

Multi-Modality

Text or Audio.

Whether your application is text-only or you would like to implement a voice based conversation, Olive supports both modalities through a single API. With Press to Talk, holding down the spacebar will trigger the microphone, allowing users to speak.

Options

Various Use Cases

From a teaching intern who automates mundane task such as learning reports, to transcriptions with the accuracy of a speech pathologist, Olive is designed to be a versatile tool for a wide range of applications.

Made in Atlanta, GA

Georgia Tech Team

Olive is headquartered and founded steps away from one of the leading AI research institutions in the world.

Research

Human Conversation as a Dataset.

A Patent Pending Approach

Trained on non-Internet data.

Olive is a research project aimed at building an intuition layer—a companion model designed to work alongside LLMs. Trained on data beyond typical Internet sources, Olive aspires to unlock deeper, more meaningful conversations.

Integrations

Add Intuition to any application.

With a single API, thousands of integrations are possible.

Hinting

Olive to LLM

The Olive API works in the background and steers our preferred LLM with subtle hints throughout the conversation to detect crucial nuances in the conversation.

Engagement

Empathy as a Service

Intuition provides a critical layer of empathy to LLMs, allowing them to better understand and respond to human responses by retaining critical linguistic context lost in the transcription process.