Detection & Segmentation
Object detection, instance segmentation, and tracking tuned to your specific visual domain.

We build computer vision that turns images and video streams into accurate, actionable decisions.
Production-grade computer vision, engineered and shipped by one accountable team.
Object detection, instance segmentation, and tracking tuned to your specific visual domain.
Defect detection and anomaly spotting that outperform manual inspection on speed and consistency.
Extract text, tables, and structure from scanned documents, forms, and IDs with high fidelity.
Optimized models that run on cameras and edge devices with millisecond inference.
Data labeling, augmentation, and training pipelines for models specific to your use case.
Continuous monitoring that catches lighting, camera, and distribution shifts before accuracy drops.
A transparent, low-risk path — validated on your data before you commit.
We define the visual task and assess your imagery to plan labeling and model strategy.
We build labeled datasets, augment for robustness, and train models to your accuracy targets.
We compress and accelerate models for cloud or edge, then integrate with your camera or app pipeline.
We track live performance and retrain on new data to keep accuracy high as conditions change.
Not always. We use transfer learning, augmentation, and active labeling to reach strong accuracy with far less data than training from scratch.
Yes. We optimize models for edge and embedded hardware so inference happens locally with low latency and no cloud dependency.
We monitor for data drift from lighting and camera changes and retrain proactively to keep accuracy stable.
Absolutely. We handle real-time video with object tracking, event detection, and streaming analytics.
Cost tracks dataset size, camera count, and whether inference runs on-edge or in the cloud. We fix the price after a short pilot on your actual footage or images.
Cost scopes to the problem, not a headcount rate card. After a free AI audit we return a fixed, itemized quote tied to clear milestones, so you know the number before any work starts.
Fixed price, tied to outcomes and scope. We don't bill open-ended hours — every engagement has a defined plan and cost agreed upfront.
Most engagements produce a working, data-validated prototype in 2–4 weeks, with full production rollout typically inside one quarter depending on scope and integration complexity.
Yes — we scope a proof of concept against your real data first, so you see measurable value before signing off on the full production build.
Security is built in by default: HIPAA, SOC 2 and GDPR-aware architecture, encryption in transit and at rest, role-based access control, and full audit logging on every deployment.
No, not without your explicit consent. Your data is used to serve your deployment — it is never used to train models for other clients.
Yes. We support private-cloud and on-premise deployments hosted within the UAE and wider GCC, so data-residency requirements are met without sending your data offshore.
Yes — for teams with strict compliance or residency requirements, we deploy self-hosted open models or private cloud infrastructure instead of public model APIs.
Tell us your challenge. We'll come back with a concrete, no-obligation plan and a live demo of what's possible for your team.
120+ teams shipped across 6 industries
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