If you could converse with your private business data, what would youask?

Control your Intellectual Property and Privacy while securely harnessing the power of AI

Private AI services using onsite, local LLMs for your business growth needs between $5M and $30M revenue

Get Started

Data Ingestion

Efficiently gather and process data from all customer touchpoints - Privately.

Your business data

Customer Journey Diagnosis

Analyze every interaction to identify opportunities and pain points to optimize results.

Where data resides

Growth Planning Insights

Receive actionable insights for strategic growth and market execution to increase perfomance - Now.

What you can achieve

Benefits

Converse with your business data using natural language
Maintain control over your intellectual property without unintended data lost to training public LLMs
Ensure data privacy and security with local, air-gapped LLM models for information security
Gain actionable insights for growth from AI without the risk of loss
Receive tailored recommendations for your business using advanced AI insights

What Our Clients Say

"When selecting generative AI applications, enterprises have clear priorities: Return on investment and industry-specific customization matter most when selecting new tools."

- Menlo Ventures

"The privacy and control we have now is unparalleled. Highly recommend!"

- Founder, Startup

"Generative AI (GenAI) is revolutionizing industries and reformulating how organizations engage with customers, design products and streamline operations. Large language models (LLMs) are GenAI models that are trained on an enormous amount of text data to understand and generate human-like language, which means they can help organizations process and synthesize data more quickly, uncover patterns and generate valuable insights. However, many companies are grappling with how to get ready to adopt LLMs."

Michael Stricklen, Managing Director, EY-Parthenon Software Strategy Group, Ernst & Young LLP

"As AI assistants gain mainstream adoption, the industry has invested heavily in model capabilities, achieving rapid advances and reasoning and quality. Yet even the most sophisticated models are constrained by their isolation from data -- trapped behind information silos and legacy systems."

- Anthropic.com