
Healthcare
Clinical workflow intelligence, Doctor assistance, medical imaging triage and OR analytics.
Independent AI engineering studio
Xcorre designs production-grade Computer Vision systems, from a difficult real-world problem to a dependable deployed product.

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Institutional Recognition

Google Labs Agentic AI Hackathon, top 5

3rd place, Huawei AI Championship

Got our first product, VocalVibe, incubated in NIC
Track Record

RnD Engineer at Motive, an International Company specializing in autonomous vehicles.

Multiple Publications in IEEE in Computer Vision with 3 targeting Q1 Journals.

Core Engineer at Arada, UAE's fastest growing destination developer.
USA
Lithuania
Canada
Germany
UK
UAEFounded in 2021. Computer Vision from definition to deployment.
Intelligent vision systems for real-world impact.
End-to-end ownership, from problem to production.
8 enterprise clients. 15+ shipped projects. Global team.
From discovery to deployment, we provide the full stack required to ship production AI.
End-to-end perception pipelines for detection, tracking and segmentation at production scale.

Custom model development, fine-tuning and evaluation across vision and multimodal domains.

Reliable serving infrastructure with monitoring, drift detection and continuous retraining.

Optimized inference for Jetson, Coral and custom hardware with low latency targets.

Annotation workflows, dataset versioning and pipelines built for training-grade quality.

From discovery to roadmap, we align AI investment with measurable business outcomes.
Detection, segmentation, tracking and OCR, shipped and measured.
Context, regulatory awareness and reference architectures for every vertical.

Clinical workflow intelligence, Doctor assistance, medical imaging triage and OR analytics.

Quality inspection, process monitoring and predictive maintenance.

Crop health monitoring, yield forecasting and field-level decisioning.

CV solutions for object detection, lane tracking, and real-time obstacle avoidance.
Every engagement is instrumented end-to-end, with impact proven in production.
Medical Imaging
High-accuracy retinal disease classification using OCT images required a compact, edge-efficient model.

Precision Agriculture
Detecting weeds among soybeans in noisy environments demanded robust feature extraction and faithful latent representation.

Autonomous Mobility
Real-time speed estimation suffered from high inference latency due to reliance on heavy temporal sequences.

Battle-tested tools for modeling, serving and operating AI at scale.
























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