We build the evidence and infrastructure you need to
de-risk innovation and scale your impact

WHAT WE DO

We are an applied R&D and technical strategy firm that turns complex organizational questions into working software. Sitting at the intersection of management consulting and engineering, we specialize in helping clients operationalize emerging technologies - from agentic AI architectures to large-scale data pipelines. Whether you need to validate a high-stakes proof of concept or build a custom expert system, we don't just write code to spec; we build the evidence and infrastructure you need to de-risk innovation and scale your impact.

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.