Production systems built around the real workflows of the businesses that use them.
A custom platform on top of the dispatch software the company already uses, covering manifests, crew check-in and check-out, hours, tips, payroll and invoicing. We built it, we own the infrastructure it runs on, and we ship changes from the owners' ticket queue.
A custom platform that runs bookings, scheduling across a fleet of photographers, delivery, invoicing and contractor payouts in one place. Built over several years, in production today, and used by multiple brokerages.
Practical examples of how we apply AI to everyday operational work—reading documents, interpreting images and video, finding information, and helping people work more efficiently.
We conducted a study to explore whether AI-assisted indoor navigation could be used as a training tool for new employees in large retail environments.
For a moving company, we built a tool that reads unstructured email threads, payment exports, and scanned manifests, then reconciles them into one accurate report — replacing hours of manual analysis and calculation.
We conducted a feasibility experiment to explore whether existing store camera footage could support high-level demographic analysis without facial recognition or personal data. Click see results below to learn more.
We explored whether the latest generative image models could automate professional real estate photo retouching, including window exposure correction and interior enhancement.
We built an AI-powered search experience for bookstores that turns a simple ISBN inventory into an intelligent, customer-facing discovery tool. Click see results below to learn more.
We test AI models on real-world tasks to reveal strengths, limits, and the best fit for your use case.
Models capable of interpreting images, identifying objects, and extracting visual meaning.
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Models for analyzing, transcribing, separating, and generating audio — from speech recognition to real-time voice conversations.
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Models optimized for semantic embeddings and similarity search across large document collections.
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Models designed to understand, summarize, classify, and reason over written language.
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Systems for extracting text and layout from scanned documents, PDFs, and photos.
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Models used to verify, filter, and sanity-check outputs from other systems.
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Many real-world problems require combining several of these capabilities into a single workflow. We help you choose the right models for each step — balancing accuracy, speed, and cost — and test whether the approach holds up before it’s ever deployed.