Leading the Digital Future of African Institutions
The Human Layer for Africa’s Smartest Data
IntelliScanLabel is the dedicated data labeling and human QA division of IntelliScan.Africa, created to deliver high-quality, context-aware datasets for AI, LLM, and regulatory systems. We specialize in transforming unstructured African documents, financial records, and voice data into structured, compliance-ready training sets. From zoning NDIC forms to transcribing Pidgin-English interviews, our human-in-the-loop workflow ensures every label is culturally grounded, auditable, and model-ready.
Whether you're building a foundation model, training speech-to-text systems, or auditing sensitive KYC workflows, we deliver accuracy where automation alone falls short.
OCR + Compliance
From any bank statements to court files, our annotators zone and tag every field —name, address, signature, and legal codes with compliance-ready precision. Our datasets are built for AI, but pass real-world audits.
AI That Understands Language, Not Just Words.
We annotate speech data with deep cultural intelligence capturing dialect, tone, emotion, and context across Africa’s diverse languages. Our labels help LLMs, voice systems, and multilingual models hear what matters and understand what machines often miss.
1. Intelligent Intake & Scoping
We begin with a collaborative intake session to understand your data types, label requirements, edge cases, and preferred formats. Whether you're training an LLM on regional documents or auditing sensitive compliance files, we design a task structure tailored to your exact needs.
We accept a range of input formats PDFs, scanned documents, spreadsheets, audio recordings, or structured exports and standardize them into secure, cloud-based annotation environments.
Key Capabilities:
- Document parsing & OCR pipeline configuration
- Audio preprocessing & transcription segmentation
- Ontology & taxonomy alignment for entity tagging
- Confidentiality & SLA protocols set from Day 1
2. Annotation & Tagging
Once your workflow is defined, our annotation teams begin labeling not just with speed, but with insight. Our reviewers are trained in the nuances of compliance forms, African dialects, document structures, and cultural expression. They understand what the data means, not just how to tag it.
Whether zoning government records, extracting metadata from financial forms, or tagging dialect and tone in speech files, we focus on context-first labeling backed by performance benchmarking and pre-production qualification rounds to ensure consistent, accurate results.
3. Multi-Tier Quality Assurance & Spot Review
Quality is not a checkpoint it’s embedded in every step of our process. Each dataset passes through multiple layers of human QA, where senior reviewers perform manual spot checks, cross-verification, and error analysis.
We log every correction and justification, track inter-annotator agreement, and maintain full traceability from the first label to final export. This level of review ensures consistency across large volumes of data and makes our output reliable enough for training, auditing, or deployment.
4. Secure Delivery & Format Conversion
Once a batch passes QA, it is exported in your preferred format whether that’s JSON, CSV, XML, or a custom schema. Every delivery includes a summary report detailing label counts, version history, and confidence scoring.
Your data is encrypted in transit and at rest, processed within a secure AWS infrastructure under strict access controls and NDA-compliant workflows. We can deliver through direct API access, secure cloud folders, or integration with your team’s existing pipeline.
5. Pilot-to-Scale Execution
To ensure alignment, we offer new partners a structured pilot typically between 500 and 2,000 samples allowing you to test our accuracy, communication flow, and internal reporting tools.
Once approved, we move seamlessly into scaled execution. Our trained teams can expand rapidly to meet growing demand while maintaining output quality and QA oversight. Communication remains structured, transparent, and fully aligned with your needs — whether that’s weekly reviews, 24/7 task visibility, or ongoing feedback loops through your own platforms.