Case Studies

Real problems.
Measurable results.

We partner with companies to build AI solutions that work in production. Here's how we've helped our clients transform their operations.

Conversational AI

1 project

Transportation / Consumer Apps

8 weeks

27% Higher Conversion: Building a Conversational AI Layer for EV Data

We built a conversational AI interface that lets Tesla and Rivian owners ask natural language questions about their driving data, plan road trips, and get personalized insights — all without the existing mobile team changing a single line of code.

✓ 27% increase in user acquisition and paid conversion

✓ Zero changes required to existing backend infrastructure

✓ 8-week timeline from kickoff to production launch

✓ 15+ specialized tools for vehicle data, charging, and trip planning

TezLab • 2025

Data Intelligence

3 projects

Media Intelligence / Content Analytics

12 weeks

From Noise to Signal: AI-Powered Content Intelligence Across Twitter, YouTube, and Podcasts

We built Distill — a multi-source content intelligence platform that automatically collects, transcribes, summarizes, and analyzes content from Twitter/X, YouTube videos, and podcasts. What used to require hours of manual monitoring and note-taking now happens in minutes, with AI-generated summaries that surface the signal from the noise.

✓ 94% reduction in time spent monitoring content sources

✓ AI-generated summaries for 50+ tracked Twitter accounts daily

Internal Platform • 2025

Media / Content Management

4 weeks

Search 10,000 Images in Under 100ms: Vector-Powered Visual Discovery

We built Image Browser — a natural language image search system that lets users find images by describing what they're looking for. Instead of manually tagging thousands of photos, CLIP embeddings understand visual content automatically, enabling instant semantic search across entire image libraries.

✓ Sub-100ms search latency across 10,000+ images

✓ Zero manual tagging required — AI understands image content

Internal Platform • 2025

Human Resources / SaaS

6 weeks

From 15 Minutes to 30 Seconds: AI-Powered Benefits Document Extraction

We built a schema-driven AI pipeline that extracts structured data from complex healthcare benefits documents (SBCs), transforming a frustrating 15-minute manual process into a 30-second automated workflow.

✓ 78% reduction in onboarding time

✓ 98% accuracy in data extraction

HR Software Provider • 2025

Case Studies

100%

Production Ready

50M+

Users Reached

78%

Avg Time Saved