Keep what matters.
Anneal makes existing models smaller, then trains a small part of the model to recover useful capability.
Running useful AI should not mean handing over your company’s knowledge or needing a room full of hardware. We work on the whole system: making models smaller, bringing their capability back, and giving people a private place to use them.
Anneal makes existing models smaller, then trains a small part of the model to recover useful capability.
Our native runtime executes compressed models on Apple silicon. Reliability controls check how the model responds and uses tools.
A private workspace for conversations, company files, research and tools. Useful work, with permissions set by people.
Our latest 27-billion-parameter release candidate fits in a 9.03 GB package. After recovery, it averages 97.35% retention of the original model’s scores across seven core benchmarks.
Model files, in decimal GB. Package size is not total running memory.
Original teacher = 100%. Average of each task’s retention, without realtime correction. Retention is separate from answer accuracy.
Measured peak: 11.69 GB for the model plus 32K context on Apple silicon, reproduced in 3 of 3 runs. Package size is separate from running memory. Acceptance on a real 16 GB machine remains open.
Explore the resultsA model can know what to do and still get stuck repeating itself or run out of room before answering. Our runtime controls target those failures, helping more answers reach completion.
164 problems, thinking enabled. Both models run without the correction policy. These gains come from the updated model.
HumanEval improved from 135/164 to 148/164 correct with the new recovery. The current model also scores 91/100 on MBPP, 125/150 on MATH-500 and 97/100 on GSM8K, all without the correction policy.
Twelve correction components now run inside the server. All 65/65 software tests passed; replaying 1,876 recorded generations found zero content violations. These checks are separate from model benchmark accuracy.
Explore the controls and benchmarksWith correction enabled, 4/4 control outputs stayed identical. One live runaway was corrected to a right answer; a larger test continues. Overall retention with correction is not yet available for the current model.
Find answers in your records. Work with your inbox. Build a chart, research a supplier or turn a meeting into next steps. The Harness brings it together, with sources and actions in view.
Company files and cited source passages, alongside six Australian knowledge packs in development.
StudioC Search needs no external search API key. Mail connects to your email host. Connect brings remote staff back to your appliance.
Choose read-only work or approved actions. Keep local work on your hardware and external connections optional.
Pilots and deployment acceptance are in progress. Installs are planned with regular and StudioC-compressed models, selected for the machine and the work.
Explore the models, runtimes and ideas coming out of StudioC.
Explore our research