Artificial Intelligence
Models that accelerate your life to new lengths.
We make our models the way they should be made: to power your life. Not just to make work easier, but to enable collaboration between intelligent minds. The way all things should be: Collaboration.
Our approach
We build AI because it's fun, not because it's profitable.
Almost every lab in AI development is chasing profit first. We are different. We build models because we want to see what is possible, because it is fun, and because we want to help the average person, not shareholders.
That means we are not trying to take creativity away from anyone. We want to make it easier for people to express the visions they already have, not do the imagining for them.
- Not for profitWe are not chasing an exit or a valuation. This is something we build because we want to.
- For the average personBuilt to help everyday people get more done, not to gatekeep power behind enterprise contracts.
- For creativity, not against itOur tools should make it easier to express your vision, never replace the person doing the imagining.
Model series
Nine series, two in active development.
Each series is built for a distinct job. Deriva is our lead priority right now; Hikaru and PICO continue at a reduced pace; the rest remain concepts. See why we reordered priorities.
Deriva Series
Deriva. The generalist
Our lead priority. A general-purpose model with vision, currently a finetune of Qwen3.8-27B. Capable across a wide range of tasks, including reasonable competence at code, but with no single specialty.
Deriva is the series we expect most people to use most of the time, the dependable everyday model in the lineup, and the model Kova is built around.
Hikaru Series
Hikaru. The testbed
Our first model. A finetune of Ministral-3 (8B), built to validate our ERL training method at a manageable scale. Still moving, just at a reduced pace while Deriva gets most of our attention.
Hikaru exists to answer a single question: does a model trained with explanatory reinforcement learning behave measurably differently than one trained with a binary reward?
Arcus Series
Arcus. Built for software
A large model dedicated to code. The aim is depth: a system that is exceptional at software engineering rather than passable at everything.
Notes and architectural thinking exist, but no development has begun. We would rather build one thing well than many things averagely.
Nero Series
Nero. For the physical world
Built for robotics and wearables. A single model that unifies vision, voice, and language, with the orchestration needed to act in the real world.
Nero excels at persona, tooling, and orchestration. The things a model needs when it lives in a body rather than a chat window.
Hirose Series
Hirose. The creative generalist
A powerful generalist built for creative work, with the range to help make real things across writing, art, and ideas.
There is a firm line with Hirose: it is meant to support human creativity, not replace it. If it ever starts taking work from human creators, we retire it, a rule that holds for every model we make.
OBIKI Series
OBIKI. The flagship
Our most ambitious series by far: a massive, fully custom model we intend to be genuinely frontier, for coding, bioscience, and cybersecurity.
OBIKI is the furthest-out concept in our lineup and the north star the rest of the work points toward. Built from the ground up, not finetuned.
Yuki Series
Yuki. Small and efficient
The smallest, leanest model we can build, made to punch far beyond its weight and stay startlingly capable for its size.
An efficiency project we build partly for the joy of it. Yuki (雪) means snow in Japanese: small, light, and everywhere.
PICO Series
PICO. Speech to speech
A speech-to-speech model: voice in, voice out, with no detour through text. In development, at a reduced pace, as PICO-1.
By skipping the text step, PICO aims for conversation that feels immediate rather than stitched together from separate parts.
Photon Series
Photon. Image generation
Our image-generation model. Photon turns a written prompt into an image; Photon-1 is the first in the series.
Photon is our entry into visual generation, the counterpart to the reasoning models in the rest of the lineup.