01What types of data does Intelliscan.Africa support?
We annotate images, videos, LiDAR point clouds, RADAR signals, geospatial and satellite imagery, drone footage, and fused multi-sensor datasets. Our work spans industries including automotive and ADAS, retail and e-commerce, agriculture, sports, construction, waste management, and healthcare imaging.
02Which annotation techniques do you offer?
We deliver bounding boxes, polygons, key points, semantic segmentation, instance segmentation, object tracking, 3D cuboids, LiDAR segmentation, lane marking, RADAR signal interpretation, and geospatial labeling. We can follow your existing ontology or help you refine it for better model performance.
03How do you ensure the accuracy of annotations?
We use a four-tier QA workflow that combines automated checks, expert review, peer quality control, and a final audit. This framework consistently delivers more than 97% accuracy across data types and project sizes.
04Can Intelliscan.Africa handle large-scale enterprise projects?
Yes. With more than 2,000 certified specialists and a scalable delivery model, we process over 1 million images and videos and more than 100,000 LiDAR frames every month, supporting long-term, high-volume enterprise programs.
05Can we start with a pilot project?
Yes. Most clients begin with a 100- to 500-sample pilot to validate quality, workflows, and communication. Once the pilot is approved, we transition seamlessly into full production.
06What are your typical turnaround times and SLAs?
Turnaround depends on data modality, volume, and complexity, and is agreed up front as part of your service-level agreement. Our scalable workforce lets us flex capacity up or down to meet deadlines, and we provide clear delivery milestones and regular progress updates throughout the engagement.
07What file and output formats do you support?
We are format-flexible and deliver annotations in the structure your pipeline expects, including COCO, YOLO, Pascal VOC, KITTI, JSON, XML, CSV, and custom schemas. For 3D and sensor data, we support common point cloud and fusion formats, and we can match your naming conventions and folder structures so they drop straight into your training pipeline.
08Do you work on client-provided annotation tools?
Yes. We are fully tool-agnostic and experienced with most major annotation platforms on the market. We also partner with selected platform providers to offer bundled packages that combine tooling and annotation services.
09How do you handle data security and privacy?
We operate in a secure, audit-ready environment that is aligned with NDPR and GDPR. Data is protected with encryption, controlled access, signed NDAs, secure facilities, and monitored work environments. We can also accommodate project-specific security requirements such as on-premises or restricted-access workflows.
10Do you support LiDAR–Camera–RADAR sensor fusion?
Yes. We synchronize and annotate multi-sensor datasets to enable object tracking, 3D–2D alignment, depth validation, motion estimation, and robust scene understanding for autonomous driving, robotics, and industrial systems.
11Which industries does Intelliscan.Africa specialize in?
Our key sectors include agriculture, automotive and ADAS, construction, retail and e-commerce, waste management, sports analytics, and healthcare imaging. Our domain-trained teams understand the edge cases that matter in each field.
12How is pricing structured?
Pricing depends on data modality, annotation complexity, ontology depth, volume, and turnaround SLAs. We offer transparent per-task, per-frame, or project-based pricing, with savings for large-scale or long-term engagements.
13Can you manage ongoing multi-month or multi-year labeling pipelines?
Yes. We act as an extension of your ML and data teams, supporting continuous data ingestion, re-labeling, versioning, and dataset optimization throughout your AI lifecycle.
14How do you handle revisions and corrections?
Revisions are built into our service framework and handled without friction. Flagged samples are re-reviewed and corrected by senior QA teams to keep datasets consistent, and we incorporate your feedback into updated guidelines, thereby improving quality over time.
15Can you help develop or refine our annotation ontology?
Yes. We frequently help clients create or refine ontologies, labeling rules, edge-case guidelines, and reference documentation to ensure clarity, consistency, and scalability across teams and tools.
16How does onboarding and getting started work?
Getting started is simple. We begin with a short scoping conversation to understand your goals, data, and ontology, agree on guidelines and a pilot scope, and assign a dedicated project lead. From pilot approval, we move into structured production with clear communication channels and reporting.
17How do you communicate and manage projects?
Each engagement is assigned to a dedicated point of contact and project manager. We work within your preferred communication and ticketing channels, provide regular progress reports, and maintain transparent dashboards so you always know the status of your data.
18Who are your annotators, and how are they trained?
Our delivery is powered by more than 2,000 certified specialists who are trained on project-specific guidelines and assessed before joining production. Annotators receive ongoing coaching based on QA feedback, and domain experts support complex projects such as medical imaging and autonomous-driving data.
19Can you support data collection as well as annotation?
Yes. In addition to labeling, we can help source and collect data, including images, video, and field data across African and other markets, with the same security and quality standards we apply to annotation. This is useful when you need diverse, region-specific datasets to reduce model bias.