Technical Case Studies

Detailed breakdowns of AI systems, edge models, mobile infrastructure, and custom software we have shipped for real clients.

FirmAssist: Streamlit UI and Local Data Categorization
Legal AI

FirmAssist: Streamlit UI and Local Data Categorization

We built a Streamlit-based legal intake prototype that runs document categorization locally, keeping sensitive case data on-device while accelerating intake triage.

-60%

Document Triage Time

100%

Data Retained On-Device

3 Weeks

Time to Prototype

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PulseGuard: 1D-CNN Denoising Autoencoder for Edge Devices
Edge AI

PulseGuard: 1D-CNN Denoising Autoencoder for Edge Devices

PulseGuard is an edge-optimized health-monitoring model that uses a 1D-CNN denoising autoencoder to clean sensor signals before downstream diagnosis.

+18 dB

Signal-to-Noise Improvement

< 2 MB

Model Size

< 20 ms

Inference Latency

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MEDARY: Encrypted Digital Health Diary MVP
Digital Health

MEDARY: Encrypted Digital Health Diary MVP

MEDARY is a digital health diary MVP that combines encrypted chronological timelines with automated medication summaries to support patients and caregivers.

6 Weeks

MVP Launch

AES-256

Timeline Encryption

Automated

Summary Generation

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iOS CI/CD Pipeline: Resolving Native Framework Crashes
Mobile DevOps

iOS CI/CD Pipeline: Resolving Native Framework Crashes

We fixed a recurring iOS CI/CD failure by moving to static linkage variables, resolving native framework compilation crashes and restoring reliable release builds.

-90%

Build Failure Rate

Weekly

Release Cadence

-35%

Build Time

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Edge Runtime Optimization with Qwen3.5 4B
Edge AI

Edge Runtime Optimization with Qwen3.5 4B

We evaluated the Qwen3.5 4B model for edge inference, defining parameter limits, memory budgets, and capability assessments for local AI deployments.

3.2 GB

VRAM Ceiling

8K-16K

Context Window

INT4/INT8

Quantization

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PropWise: AI Lease Abstracting and Compliance Monitoring
PropTech / Legal AI

PropWise: AI Lease Abstracting and Compliance Monitoring

PropWise uses local LLMs to abstract commercial lease terms, track critical dates, and monitor compliance while keeping sensitive documents on-device.

-70%

Abstraction Time

100%

Data On-Device

500+

Critical Dates Tracked

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