OrbitronAI has launched System 1 Models, a service for automating operational decisions while keeping sensitive data inside Saudi Arabia or the UAE. It runs on the company's regional infrastructure and is reached through an API.
Developers submit a description of a situation, such as a customer message, a transaction record or a maintenance log, together with the questions they need answered. Each question carries a predefined answer space, the set of outcomes the application will accept. The model weighs the input against those outcomes and assigns a probability to each, instead of writing prose.
There are three output types: a yes or no question that returns the probability of yes, a choice among predefined options such as which team should handle a request, and a score on an ordered scale such as a risk level from low to critical. The service supports classification, ranking, risk assessment and intent detection.
The target is regulated sectors, including banking, government, energy and aviation, where data localisation rules push organisations to choose between foreign-hosted models and less automation. OrbitronAI said the service lets them build on data that never leaves the country.
Ashu Gupta, co-founder and chief product and AI officer of OrbitronAI, said most enterprise AI decisions need a model that answers a narrow question, fast, with a result software can act on, and that these models do so at a fraction of the cost and latency of a general-purpose LLM. “The real test is whether a regulated team can trust each decision enough to let it run without a human in every loop, while meeting data localization requirements,” he said.
Saulius Adomaitis, co-founder and CEO, said: “We see significant potential across enterprise applications where decisions must be fast, actionable and integrated directly into operational processes.”
Organisations can join a waitlist for early API access, stating a preferred hosting region and expected monthly call volume. The launch builds on NovaOS, the company's agent orchestration and governance platform, first introduced in October 2025.
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