AQITMechanistic interpretability tooling that runs on a local GPU
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Reverse engineering intelligence with interpretability.

at Aquin Labs, We're reverse engineering and interpreting to help build better ML across foundation models for physics, life sciences, industrial, scientific discovery, clinical, and safety-critical.

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awesome programs.

Emergent Ventures
Founders Inc
The Residency
NVIDIA Inception
Emergent Ventures
Founders Inc
The Residency
NVIDIA Inception
LAION

Building an interpretable VLM that maps text and vision towers on top of OpenCLIP.

KAIST

Providing interpretability tooling for preference detection analysis in LLMs.

AEIA Lab

Using SAE tooling on a small LLM to sense conflict, ambiguity, and tone, and choose the right response.

Zyogen

Building interpretable scientific and medical vision transformers and diffusion models with our tooling.

Working with labs and research partners.

Training a ViT on wound recovery imaging, then interpreting it to distill a prediction system.

Find the features that drive recovery signals, then build and distill a leaner predictor you can actually inspect.

Mapping correlations between the human brain and LLM neural nets.

Building a testbed for drugs and cures aimed at Alzheimer's, dementia, and schizophrenia.

Complete interpretability tooling for frontier ML development.

Bring interpretability into how models are built and improved, not only into exploratory post-hoc analysis.

Deceptive feature finding for AI safety.

Working with individual researchers to locate and study deceptive features before they become failure modes.

Interpretability for ECG-related ML.

Opening cardiac models so predictions can be inspected, trusted, and improved in clinical settings.

Finding emotions in LLMs, and whether they refuse or agree internally.

Using SAE tooling to probe internal affect and decision posture, not just the surface answer.

Training SAEs and providing tools to frontier labs.

Dictionary learning and tooling so labs can inspect, steer, and develop models with mechanistic grip.

Putting interpretability into the development loop itself.

Reverse engineer intelligence to build with intention: inspect, attribute cause, intervene, and verify before you ship.

We solve hard problems.

AQIT (Aquin Interpretability Tooling)

aquinf03/AQITdocsapplied researchWe built mechanistic interpretability tooling that runs on a local GPU. Load an LLM or embedding model, then inspect, simulate a train, diff checkpoints, steer, watch a live run, and eval. SAE capture, train, and align; weight and residue diffs; red-team and custom evals.

Neurology for machine learning.

Mapping correlations between the human brain and LLM neural nets to build testbeds for drugs and cures in Alzheimer's, dementia, and schizophrenia, while covering the wider med-bio stack from wound imaging to ECG.

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Introducing Aquin tooling

build models with same precision as writing code.

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build models with intent by locating, debugging, simulating and improving.

build transformers & llms

simulate lora


Work with us

Interpretability tooling, custom SAE databases, mechanistic audits, circuit reports, and hands-on research, experiments, and studies for teams of all sizes. Reach us at aquin@aquin.app

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