· 001· (What we explore)· (Research)
RESEARCH
Araskova's research focuses on machine intelligence, perception, and autonomous systems applied to real industrial problems. We share our benchmarks and internal findings as they mature, and integrate them directly into our core products.
· 002· (Domains)· (Areas)
01.
Computer Vision
· Perception.· Advanced visual intelligence for unconstrained environments.
Object DetectionSemantic SegmentationReal-time Tracking3D Reconstruction
02.
Autonomous Systems
· Decision.· Systems that perceive, reason, and act without human intervention.
Reinforcement LearningPath PlanningMulti-Agent SystemsSimulation
03.
Robotics
· Action.· Bridging the gap between software intelligence and physical execution.
KinematicsSensor FusionEmbedded ControlSwarm Robotics
04.
Cybersecurity
· Defense.· AI-native security models and autonomous threat neutralisation.
Red TeamingAnomaly DetectionAdversarial AIZero-Trust Architecture
05.
AI Infrastructure
· Scale.· The compute and networking foundations for planetary-scale AI.
Distributed TrainingInference OptimisationEdge AIData Pipelines
NLP Research · 2026-06-28
Malayalam LLM Benchmark: Failure Analysis on Administrative Queries
An internal benchmark of leading LLMs on real-world Malayalam administrative queries reveals a ~73% failure rate — validating our regional data engine thesis.
Perception · 2026-04-30
Computer Vision Beyond Surveillance: Industrial Perception for Manufacturing QC
How Araskova's Vigil system applies semantic segmentation and anomaly detection to factory production lines — moving beyond CCTV surveillance into real-time quality intelligence.