Case Studies • Real Systems • Real Outcomes
Work we’ve delivered — grouped by market
These are representative projects showing the types of systems we build: automation, analytics, computer vision, and secure AI workflows. When details are sensitive, we keep the summary high-level and share more under NDA.
What you’ll see on this page
Each case includes: the problem, what we built, and the result. We keep language simple on purpose. If you want deeper technical detail (architecture, stack, security, and deployment), we can share that directly.
Built to run in real environments, not just prototypes.
We build around your templates, approvals, and constraints.
Time saved, fewer errors, better visibility, faster decisions.
You keep your code, data, and IP.
Defense
Modernization, automation, and decision support for controlled environments, large user bases, and strict requirements.
Navy-wide logistics & purchasing platform (CAC-enabled)
Modernized a 20+ year legacy system with siloed workflows into a modern enterprise web platform accessible to a broad Navy user base.
Result: centralized workflows, stronger auditability, improved scalability, and easier access for authorized users.
Ask for the full case summary →PDF table extraction tool for QA / database validation
Built an AI-assisted extraction pipeline to process a large backlog of PDF shop visit reports, pull the right tables, and produce structured CSV outputs for validation.
Result: reduced effort from ~250 hours to ~3 hours and cleared ~3,000-document backlog.
Request a demo walk-through →Enterprise multi-agent chatbot across departments
Built a bespoke multi-agent system that can run offline or online and route questions to specialized agents aligned to real use cases and data sources.
Result: faster access to institutional knowledge and reduced time spent searching and compiling answers.
Discuss your environment constraints →AI-assisted design recommendations & requirements comparison
Built a system to help teams compare competing designs against requirements and reference standards, with fast trace-back to source documents.
Result: reduced time to find differentiators and document evidence from hours to minutes.
Ask for an example workflow →Organizational maturity analysis & decision support framework
Built an AI-supported approach to analyze surveys, transcripts, and structured inputs to produce maturity findings, dashboards, and consistent reporting.
Result: major reduction in analysis time while improving consistency across reporting outputs.
Discuss reporting + dashboards →Optimal path replanning & maritime autonomy research
Developed methods for surface vessel path replanning to support logistics, shipping, and unmanned maritime applications.
Result: research-to-application work supporting autonomy planning and decision logic.
Ask for technical summary →Legal
Tools that reduce drafting time, centralize case information, and fit existing templates and attorney workflows.
Automation system Reporting for Corporate Review of Insurance(legal)
Built a bespoke solution that helps transform structured case inputs into consistent outputs aligned to firm standards.
Result: faster drafting, fewer formatting passes, and better repeatability across similar matters.
Request the legal case overview →Family Law Automated Review and Reporting Tool (legal)
Built a bespoke drafting and document workflow tool designed for a family law practice to produce court-quaility reports and reviews.
Result: reduced “copy/paste” work and improved consistency of outputs across matters.
Ask for a walkthrough →Centralized case data for fast search and reuse
Structured a centralized approach for storing case-related data so it can be searched and reused without relying on scattered files.
Result: faster retrieval of prior work and fewer missed details due to information scattered across systems.
Discuss your practice workflow →Healthcare & Insurance
Analytics and modeling built for accuracy, auditability, and practical decision-making.
Analytics dashboards for medical malpractice / insurance decisions
Built custom analytics workflows and dashboards to help teams filter complex case and cost information and support decision-making.
Result: faster review cycles and clearer visibility into key drivers without manual spreadsheet wrangling.
Ask for an example view →Post-surgical arthritis time-to-onset prediction
Developed prediction models to help estimate post-surgical outcomes using real clinical and case-related data.
Result: improved ability to forecast timelines and support planning with data-backed estimates.
Discuss your data + goals →Retail & Product
Computer vision and sensor-driven experiences built for real-time performance and user-facing reliability.
Mobile shoe try-on: 2D segmentation
Built a vision model to segment feet from mobile images to support an AR shoe try-on experience.
Result: a reliable base for user-facing AR workflows where speed and stability matter.
Ask for technical summary →LiDAR-based 3D shoe try-on
Integrated LiDAR depth data to improve alignment and realism in AR product visualization.
Result: more stable placement and improved user experience in real-world settings.
Discuss a product workflow →Real-time detection model development
Developed custom detection models for real-time classification and tracking in video-based workflows.
Result: automated identification and tracking with reduced manual review time.
Tell us your constraints →Agriculture & Environment
Practical AI models that help teams act on limited data and real constraints.
Soil moisture prediction for smart irrigation
Built prediction models using readily available data to help support irrigation planning decisions.
Result: better timing decisions with fewer sensors and less manual guesswork.
Ask for a summary →Real-time plant disease detection (mobile)
Built a mobile-friendly detection approach to identify plant disease signals quickly and support remediation decisions.
Result: faster identification and improved response timing in the field.
Discuss model deployment →Water/land segmentation from limited satellite imagery
Built a segmentation approach using ensemble methods to separate water and land boundaries from limited imagery.
Result: improved boundary detection where training data is limited.
Ask for the approach summary →Want to see the closest match to your use case?
Tell us your workflow, data sources, and constraints. We’ll point you to the most relevant case study and walk through what a practical build would look like.