Thesis
OKAO Labs is built on a single conviction: the limiting factor in decision systems is rarely model capacity or data volume. It is that human intent and context are seldom represented explicitly. We apply that conviction differently in Frankenstein, in our energy proofs of concept, and in Resactly. They share principles, not a single implemented engine.
This page describes a thesis. For current status, see Frankenstein, Energy, and Resactly.
Clicks, prompts, and transaction history describe what someone did, not the goal behind it or the constraints around it. Our hypothesis is that representing intent and context explicitly produces more useful help. It is a hypothesis, not a demonstrated result.
A person's ongoing projects, preferences, and relevant history shouldn't have to be re-explained in every conversation. In Frankenstein, continuity is held outside any single model so it survives as models and interfaces change.
Where to build a data center depends on location, power availability, redundancy, regulations, and generation choices together. Our energy proofs of concept explore making those constraints and their assumptions visible early in infrastructure planning.
Personal context, infrastructure planning, and dining each need their own data and design. A dining choice, for example, turns on occasion, budget, distance, and dietary limits. We apply shared principles; we don't assume one approach fits every initiative.
Assumptions should be explicit and adjustable, and consequential actions should remain with people. How well each initiative serves its users is something we evaluate, not something we assume.
What we are
A product and research company. We ship useful software, learn from how it is used, and apply shared principles to distinct, domain-specific designs.
What we are not
Not a consultancy. Not a studio shipping unrelated applications. Not a company whose product is a model wrapper. We do not sell hours.