Practical model evaluation
Developing repeatable ways to compare quality, reliability and cost for real customer workflows.
Research
As a bootstrapped startup, we explore focused questions in model quality, controllability, efficiency and safety, then apply what works to practical products.
Current work
Developing repeatable ways to compare quality, reliability and cost for real customer workflows.
Testing lightweight approaches that help generated visuals stay closer to a customer's brand system.
Establishing responsible review and moderation practices for the products and client solutions we build.
Research focus
How do we let users steer composition, lighting and style without losing fidelity?
Smaller, faster, cheaper inference — without giving up image quality.
Building generative systems that respect creators, trademarks and consent.
Better metrics for what humans actually consider a 'good' generated image.
We work with academic labs, independent researchers and partner companies.
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