Questions,
answered.

Aion is our open AI-oriented library (latest: v0.2.0). It includes algorithms, visualization, physics, universe, vision, embeddings, evaluation tools, and practical utilities for research workflows.

Yes. Core tools and documentation are publicly available, and we continue to expand open resources for researchers, students, and engineers.

You can find project documentation on the Docs pages, including Aion API references and setup guidance.

Use the contact form for partnerships and research collaboration. You can also follow updates on the Research Hub and our social channels.

Install from PyPI with pip: pip install aqwel-aion. For the latest release, use pip install --upgrade "aqwel-aion>=0.2.0". Full setup steps and optional extras are documented on the Aion docs page.

Aion v0.2.0 expands the research library with physics and astronomy toolkits, classic computer vision, a NumPy-first ML stack (preprocessing, models, metrics, hyperopt), plus cache, serve, db, store, tracker, usage, Hub, and doctor—on top of the v0.1.9 providers, tools, RAG, and Former surface.

v0.1.9 centered on providers, tool loops, RAG, config, Former, and native fast_* ops. v0.2.0 keeps that stack and adds science modules (physics, universe), vision, core ML, and platform services (serve, db, Hub) with 50+ modules and 500+ primitives documented on aqwelai.xyz.

Upgrade from PyPI with: pip install --upgrade "aqwel-aion>=0.2.0". Optional extras such as [vision], [serve], [db], and [full] are documented on the Aion docs page.

Aion targets modern Python 3 releases supported by PyPI wheels for the package. Check the PyPI project page and Aion docs for the current minimum version before installing in production or classroom environments.

Yes. Datasets on aqwelai.xyz can be browsed by category, previewed, and downloaded as JSON or CSV without sign-up. They are intended for research, education, and prototyping.

We list consulting and engineering services on the Services page—from AI integration and research support to custom tooling. Each offering has its own description and contact path.

DataHugg is a partner project focused on AI-native analytics and clearer data experiences, developed in collaboration with Aqwel AI.

Technical articles and notes live on the Research Hub and in the Research section on the homepage. New publications are added as we ship lab write-ups and engineering guides.

Lab is where we surface experimental work, prototypes, and in-progress research that may not yet be a stable product or library release. Expect faster iteration than the main docs.

We document safety principles and alignment-oriented research on the Safety page. Our open tools favor transparency, reproducibility, and explicit evaluation over opaque automation.

Yes. Core projects such as Aion are open source on GitHub. Issues, discussions, and pull requests are welcome where the repository accepts community contributions.

For Aion and other open repositories, open a GitHub issue with a minimal reproduction when possible. For website or partnership matters, use the contact form or email aqwelai.company@gmail.com.

Open-source components are released under their respective licenses shown in each repository (typically permissive licenses for library code). Review the LICENSE file in the project you depend on before shipping commercial products.

Open roles and career information are posted on the Careers page when available. You can also reach out through Contact if you want to introduce yourself for future opportunities.