The Whole Platform, Open Source

Yes. The self-hosted core is open source at github.com/Aelira-AI/aelira-core: the engine under AGPL-3.0, the command-line client under MIT. There is no paid feature tier or Aelira per-page software fee. You provide infrastructure and pay any providers you enable; operational limits and administrator quotas still apply. Paid support starts at $799/month for installation help, supported upgrades, model guidance, and maintenance. The core software remains free.

The engine is AGPL-3.0; the command-line client in cli/ is MIT. Both are in the public repository. The split gives the CLI a permissive licence while retaining copyleft conditions on the engine. Read the actual licences when planning modifications or network deployment. AGPL obligations can apply to users interacting with a modified version over a network, including an internal deployment. The CLI licence does not change the licence of the engine it calls.

Accessibility is a human right, not a profit center. Universities shouldn't have to commit to expensive, quote-based licenses for closed-source software just to remediate their documents. Our business model: we give away the software for free and sell support, hosting, and professional services. This aligns our incentives - we make money by helping you succeed, not by locking you into expensive licenses.

Self-hosted (free): • You run and operate the core • You provide servers, storage and backups • Community support via GitHub Issues • No support SLA Paid support (from $799/month): • Guided installation and upgrade planning • Documented response targets • Supported release and model guidance • Quarterly reviews on institution plans Paid plans add support or managed infrastructure. The core has no paid feature tier. Configuration, deployed versions, capacity and acceptance evidence need to be checked for each deployment.

v0.9.11 is the current published release, dated September 13, 2026; product maturity remains beta. Supported workflows can apply partial fixes, but validation continues. Some inputs require manual work and cannot produce a downloadable remediated artifact. Scores do not establish accessibility conformance. Review format limits, connector maturity and public test evidence before a pilot. Agree acceptance checks for your institution's files and user journeys. Public issues at github.com/Aelira-AI/aelira-core track known work.

Yes, subject to the applicable licences. You can add features, integrate systems, replace the branding, fix bugs, and contribute improvements. Review AGPL-3.0 requirements for the engine, including modified network deployments; MIT applies separately to the CLI. Maintaining an institutional fork can be scoped as professional services ($200-$350/hr).

Minimum requirements: • 4-8 CPU cores • 8-16GB RAM • 50-100GB storage (SSD recommended) • Docker and Docker Compose Recommended for production: • 8-16 cores (better AI performance) • 16-32GB RAM (parallel processing) • 200-500GB storage (scan history) • PostgreSQL database • Redis cache • A reverse proxy for TLS You can host on: department servers, AWS, Azure, GCP, DigitalOcean, Hetzner, OVH, or any VPS provider.

You do not need to train a model. The evaluation quickstart starts the API and supporting services, with AI disabled by default. The full production Compose file includes the dashboard. Administrators select a local or cloud provider and review fallback routes, network egress, permissions, storage and backups. Docker/Linux administration and accessibility review remain necessary. The repository documents model and deployment choices.

Yes. We welcome contributions: • Bug fixes • New features (especially higher ed-specific) • Documentation improvements • Translations • Test coverage • Performance optimizations See CONTRIBUTING.md in the repository for guidelines. All contributors are credited in CHANGELOG.md.

We offer professional services for custom development: • API integration with existing systems • Custom workflow development • Migration from legacy tools (YuJa, Ally, ReadSpeaker) • Training for IT staff (1-5 days) • On-site implementation Rates: $200-$350/hr depending on complexity. Or hire your own developers - both licences allow it.