#9 –

Contract Risk Summary Tool

March 12, 2025

We built a natural language interface that scans contracts to extract obligations, identify high-risk clauses, and flag inconsistent language—reducing legal review time by 60%.

#8 –

LLM Fine-tuning Framework

February 22, 2025

We developed a streamlined method for fine-tuning large language models on domain-specific data with minimal computational resources.

#7 –

Internal Knowledge Assistant

January 29, 2025

We created a private-facing assistant that indexes internal documents and supports retrieval-augmented generation to help employees get accurate answers without switching tools.

#6 –

Customer Service Workflow Assistant

December 18, 2024

A lightweight tool that uses LLMs to classify support tickets, draft first-pass responses, and escalate edge cases—reducing average resolution time and improving consistency.

#5 –

Custom Embedding Models for Domain-Specific Search

October 6, 2024

We are creating a custom embedding model optimized for domain-specific retrieval and improved search relevance in RAG pipelines.

#4 –

AI Co-Designer for Product Teams

July 25, 2024

We developed a tool that helps product managers and designers explore flows, draft copy, and generate wireframes based on short prompts and product goals.

#3 –

Efficient Context Processing

April 3, 2024

A new context processing algorithm that allows models to handle 4× longer documents while maintaining coherence and accuracy.

#2 –

Regulatory Compliance QA Bot

September 14, 2023

We built an AI system for compliance teams that helps verify procedural checklists, summarize policy changes, and flag non-compliant language across internal docs.

#1 –

LLM Output Evaluator for Human Review

July 6, 2023

We implemented a review workflow for human evaluators that annotates LLM output, tracks hallucination rates, and identifies failure modes across different prompts and datasets.