Resources / Case studies
Case studies
How the kind of work Jwuma performs plays out by industry: the challenge a client brought us, the approach Jwuma took, and the result.
None of Corpshore AI's current engagements are cleared for public naming yet, so every case study below is an anonymized composite built from the kind of work Jwuma actually performs in that industry, described by industry, region and engagement type rather than by company name. If you are a Jwuma client and would be willing to have your project named with verified figures, get in touch. Existing clients can also reach us through the client portal.
Mobility and ride-hailing technology
Facial and Identity Verification Data for a Global Mobility Platform
A global mobility and ride-hailing platform needed verified facial and identity data across multiple regions to strengthen a driver and rider safety verification system, under strict consent and biometric-handling requirements.
Robotics and embodied AI
Egocentric Video Data Collection for a Robotics AI Program
A robotics AI company needed first-person video of humans performing everyday physical tasks, captured consistently across diverse environments and body types, to train an embodied AI model to generalize beyond a single lab setting.
Conversational AI and large language models
RLHF Evaluation for a Conversational AI Model
A conversational AI company needed a structured, scalable human evaluation pipeline to rate chatbot response quality for its RLHF fine-tuning process, after its existing ad hoc rater pool produced inconsistent scoring.
E-commerce and online marketplaces
Multilingual Content Moderation and Product Data for an E-Commerce Marketplace
A cross-border e-commerce marketplace needed multilingual content moderation and product catalog annotation to keep listings compliant and searchable across the languages its sellers and buyers actually used.
Financial technology and payments
Fraud Detection Model Evaluation for a FinTech Platform
A FinTech platform needed accurately annotated financial documents and human-reviewed transaction samples to improve its fraud detection model's precision without increasing false positives on legitimate transactions.
Healthcare technology and clinical AI
Clinical Text Annotation for a HealthTech AI Company
A HealthTech company building a clinical documentation assistant needed structured annotation of medical text to train its model to correctly identify clinical entities, under strict data handling and de-identification protocols.
Education technology and language learning
Multilingual Speech Data for an EdTech Pronunciation Assessment Tool
An EdTech company building a language-learning pronunciation assessment tool needed native-speaker speech samples across several languages to train its model to score learner pronunciation accurately against a real native baseline.
Automotive technology and ADAS
Sensor and Video Annotation for an Automotive ADAS Program
An automotive technology company developing advanced driver assistance systems needed high-volume annotation of road scene video and sensor data to train perception models to correctly identify vehicles, pedestrians and road features.
Legal technology
Legal Document Review and Annotation for a Legal Tech Platform
A legal technology company building a contract review AI needed structured annotation of legal documents to train its model to correctly identify clauses, obligations and risk indicators across varied contract types.
Fashion retail and e-commerce
Product Image Labeling for a Fashion Retail Visual Search Engine
A fashion retailer launching a visual search feature needed its entire product catalog consistently labeled by attribute, color, pattern and style, at a volume and speed its internal team could not match.
Government and public sector digital services
Multilingual Citizen Services Chatbot Training Data for a Government AI Program
A public sector digital services initiative needed training data in several local languages to launch a citizen services chatbot capable of answering common government service questions in the languages residents actually spoke.
Telecommunications
Voice Data and TTS Talent for a Telecom IVR Program in African Languages
A telecom provider needed native-speaker voice recordings in several African languages to build a text-to-speech voice for its automated phone support system, replacing a generic synthetic voice that customers found difficult to understand.
Online gaming and interactive entertainment
Content Moderation and Toxicity Detection for a Gaming Platform
A gaming platform needed annotated examples of toxic and non-toxic in-game chat to train its moderation model to catch harassment and abusive language without over-flagging normal competitive banter.
Agriculture technology and precision farming
Crop and Field Image Annotation for a Precision Agriculture AI Program
A precision agriculture company needed annotated field and crop imagery to train a model detecting early signs of crop stress and disease, across a range of crop types and growing conditions its internal team had not labeled before.
Social media and content platforms
Trust and Safety Harmful Content Classification for a Social Media Platform
A social media platform needed harmful content classified consistently across several languages to train its trust and safety model, after uneven coverage left some of its non-English-speaking markets significantly under-moderated.