Where ASTRA Focuses
Seven capability areas describe ASTRA's technical direction and intent — not a product catalog, and not a claim of capability beyond what current work supports.
Machine Learning
Foundational modeling and training methodology underlying every ASTRA system — the discipline the other six areas are built on.
Large Language Models
Focus on inference quality, calibrated uncertainty, and reliable behavior in production — not just benchmark performance.
AI Agents
Agent systems designed with human oversight as a default constraint: observable, auditable, and interruptible by design.
Computer Vision
Perception systems evaluated for reliability and failure-mode transparency as much as raw accuracy.
Natural Language Processing
Language understanding grounded in evidence, with clearly stated limitations rather than implied general competence.
MLOps
Observability, reliability, and security as default engineering requirements — evaluated at design time, not audited in afterward.
Scientific AI
Applying ASTRA's inference methods to research problems outside of language and vision.