Discourse intelligence
Platforms that read a nation’s public conversation every night, classify stance and harm in low-resource languages, and brief decision-makers in plain English by morning.
Vonadlabs designs, trains and ships deep-tech AI systems for organisations that cannot afford to guess. From the first model to the thousandth night in production.
Each system below runs today, for real users, on infrastructure we operate. The common thread is software that reads, reasons and acts on behalf of the people who depend on it.
Platforms that read a nation’s public conversation every night, classify stance and harm in low-resource languages, and brief decision-makers in plain English by morning.
Agents that draft tenders, score bids against policy and flag the anomalies a human auditor would catch only months later.
Ledger-aware assistants that reconcile, forecast and explain, with every figure traceable to the transaction it came from.
Systems that read statutes, contracts and case files in their original language and answer with citations, not confidence.
A factory is a method, not a building. Ours is tuned for one thing: getting from an unclear question to a measured, running system in weeks, and keeping it honest afterwards.
We sit with the people who hold the problem, read their data before we read any paper, and write down what “working” would mean in numbers.
A thin, end-to-end version on real data within the first fortnight. Ugly on purpose. It exists to be wrong early, where wrong is cheap.
Models are chosen by measurement on your task, never by reputation. Every run leaves a scorecard behind, and the scorecard decides.
We run what we build: budgets, alerts, nightly checks and a human who notices. Software that thinks still needs someone who watches.
Anyone can call a model. The hard part is everything around it: the data you are allowed to use, the evaluation that tells you the truth, and the operations that keep it true at 3 a.m.
Published benchmarks lie by omission. We budget, choose and ship by numbers measured on your task, your language and your data.
Everything collected is stored, forever, under your control. Derived knowledge can be rebuilt. Raw evidence can only be bought twice.
A system that is not in front of its users is a hypothesis. We ship small, watch closely and let the people who use it set the direction.
The systems we are proudest of are the ones nobody talks about, because they simply kept working.
Tell us what you are trying to know, decide or automate. We reply with questions first, and a prototype plan second.