Train frontier models and evaluate AI agents.
Train Frontier Models
&
Evaluate AI Agents
Your post-training research partner - structuring human expertise into datasets that make your AI safer, smarter, and more reliable in the real world.
Building The Core
Infrastructure for AI
From expert training data to structured evaluation, verification, and continuous production monitoring - everything your AI needs to go from capable to reliable, across disciplines, modalities, and languages.
Expert Training Data
SFT demonstrations and RLHF preference data written by domain specialists. Your model learns to reason like a practitioner - not just predict the next token.
Evaluation & Red Teaming
Structured assessment and adversarial testing by experts who know the domain. What failed, why, and what to prioritise next.
RL Environments & Verification
Simulation environments where agents learn by doing. Verifiers and rubrics that define what good looks like. Task curricula that build capability progressively.
Production Monitoring
Continuous review by domain experts. Every failure caught, root-caused, and fed back into training. AI that improves in deployment - not degrades.
Multimodal & Multilingual
Text, code, vision, audio, egocentric video. Across languages, scripts, and cultural contexts. Expertise applied wherever your AI operates.
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Human Intelligence
The best models aren't trained on the internet alone. They are shaped by the world's top experts across domains. Oxyzen structures their knowledge into every layer of your AI training cycle.
Talent Pipeline
Focused On
High-Stakes Domains
We specialise in high-consequence fields - where a wrong answer means a misdiagnosis, a compliance failure, a liability, a security vulnerability, or a physical accident.
Coding - AI That Ships
Healthcare - AI That Diagnoses
Finance - AI That Forecasts
Legal - AI That Reasons
