We Build AI
Solutions

Transforming businesses through intelligent automation and custom AI systems

WHAT WE DO

Comprendo builds AI products and services to solve your challenges. We leverage the power of industry leading AI models to create customized and intelligent conversational AI systems. We use your knowledge bases, ensuring the AI understands and responds accurately to queries related to your domain.

Our focus on customization, combined with cutting-edge AI technology, sets us apart and ensures that our solutions are not just generic chatbots, but intelligent solutions that truly understand and serve your business.

OUR WORK

Clinical Trial Protocol Assistant

Prototyped a tool to help review clinical trial protocols for gaps.

Qualitative Evaluation Assistant

Built an assistant to review a philanthropic and academic knowledge base for evidence of transformation.

Document Classification at Scale

Developed an assistant that scanned thousands of documents, looking for specific definitions and categorizing them accordingly.

Product Help Assistant

Allowed an EdTech company's users to get in-context help from the product's knowledge base in real-time.

Chatbot for Fentanyl Awareness

Worked with leading national fentanyl organization to create a chatbot to help educate the public about fentanyl.

Student Writing Feedback Prototype

Rapid prototype demonstrating how an AI assistant could provide meaningful feedback to student writing tasks.

School District Policy Assistant

Created a demonstration assistant trained on a sample of DCPS school policy documents allowing real-time translation and access to dense district policy.

Automated Expense Management

Built an intelligent custom automation system for receipt and expense management.

Text to Speech Coach

Created a coaching bot which responds to questions about an author's work in her own voice.

Document Intelligence System

Built an AI solution that analyzes complex document collections, intelligently identifying the most relevant and complete versions from scattered files, even when version control and naming are inconsistent.