Torven Labs is an independent AI and software lab where research turns into product. Currently building Tao, a developer-first platform, and publishing peer-reviewed research in NLP and affective computing. Let's move the needle.
Plenty of accounts curate other people's ideas. Torven Labs makes its own: original software and original research, built in-house.
Production platforms designed and built end to end. Tao is the foundation the rest is built on.
Applied AI and NLP sit at the core of the product and the research: method, not label.
Peer-reviewed publications in NLP and affective computing. Original science, on the public record.
A developer-first application platform.
Tao is the platform the lab is building to run everything it ships next: business applications for analytics, customer relationships, process management and more, all standing on one shared foundation for identity, access, logging and integration. One platform, many apps, built for the engineers who actually run it.
Roadmap
Sessions, tokens, SSO. Handled once, used everywhere.
Identity and permissions shared across every app.
Structured logs and audit trails on by default.
A composable request pipeline you actually control.
Dashboards and metrics wired straight to your data.
Contacts, pipelines and activity in one model.
Model and run business processes end to end.
Everything the lab builds next ships here.
Affective computing is the study of how machines detect, interpret and respond to human emotion. It is the focus of the research at Torven Labs, led by Alejandro De León Languré, and every paper below is the lab's own published work.
Alejandro founded Torven Labs to do one thing well: build software that ships and research that holds up. Two decades across enterprise systems, data science and full-stack development, plus director-level roles running teams, budgets and systems at scale, now go entirely into the lab.
He holds a PhD in Artificial Intelligence from Tecnológico de Monterrey and an MSc in Marketing from Universidad Anáhuac Business School, and researches how machines read emotion in language.