Gump
By GumpGump helps AI teams train models faster and better with 100M+ rights-cleared photos from 20,000+ Asian creators. We solve the data bottleneck for AI labs, delivering diverse, real-world datasets that power next-gen models for underrepresented markets.
- Stage
- At scale
- Industries
- Healthcare
- Logistics
- Retail and e-commerce
- Deployment
- Cloud (SaaS)
Why it is worth it
Gump is uniquely positioned as the real-world data layer for AI, specializing in rights-cleared, high-context visual data from Asia’s largest creator network. Unlike competitors that rely on synthetic, scraped, or Western-centric datasets, Gump enables AI teams to access authentic, diverse, and locally relevant data that is essential for building effective models in underrepresented markets. Our platform allows enterprises to launch custom data missions and receive labeled, rights-cleared datasets in as little as 48–72 hours, powered by a live network of over 20,000 verified creators across 10+ Asian countries. This mission-driven approach ensures rapid, scalable, and compliant data collection—solving the data bottleneck that slows down AI innovation globally. Gump stands out with exclusive partnerships (e.g., Getty Images), proven infrastructure (100M+ photos, 100K+ MAU), and deep expertise in managing large-scale visual IP and creator ecosystems. By bridging the gap between the real world and AI, Gump delivers the quality, diversity, and speed that today’s AI labs, robotics teams, and enterprises need—making us the go-to solution for next-generation, culturally relevant AI.
- Gump addresses some of the most urgent and persistent enterprise pain points in AI data and model development, especially for teams building solutions in Asia and other underrepresented markets:
- 1. Lack of diverse, high-quality training data
- Most AI training data today is synthetic, scraped, or stock, leading to biased, outdated datasets that are unfit for real-world applications. This challenge is even more pronounced in Asia, where the majority of available datasets are Western-centric, despite the region’s large and growing user base. Gump provides rights-cleared, real-world visual data from Asia’s largest creator network, giving AI teams access to authentic, representative, and high-context datasets for model training.
- 2. Data collection is slow, expensive, and fragmented
- Enterprises often face high costs and long timelines—sometimes over $2 million and 18 months—to build a single real-world dataset. Gump’s mission-driven platform enables AI teams to launch targeted data collection campaigns and receive labeled, rights-cleared datasets in just 48–72 hours, dramatically reducing both time and cost to deployment.
- 3. Compliance, privacy, and IP risks
- Using scraped or unlicensed data exposes enterprises to significant legal, regulatory, and reputational risks, especially as data provenance and copyright regulations tighten. Gump guarantees rights-cleared, fully consented data, supported by robust metadata and blockchain-based consent verification, helping enterprises avoid compliance headaches.
- 4. Data quality, consistency, and observability challenges
- Many enterprises struggle with poor data management, duplicate records, and lack of traceability, which can undermine trust in AI outputs, delay projects, and increase costs. Gump delivers structured, labeled datasets with rich metadata, full audit trails, and API-based delivery, supporting better data governance and seamless integration into enterprise AI pipelines.
- 5. Inability to localize and personalize AI models
- Existing datasets often lack the cultural, geographic, and demographic diversity needed for AI to work effectively in real-world Asian contexts. Gump’s platform enables enterprises to request custom, mission-based datasets tailored to specific needs, supporting use cases in autonomous driving, robotics, healthcare, retail, and more.
- 6. Integration complexity and production gaps
- AI teams frequently encounter challenges moving from demo models to production systems, with integration complexity and a lack of domain-specific data slowing down real-world deployment. Gump’s API-first platform and enterprise tools streamline dataset integration, accelerating the path from data collection to model deployment.
Opening the deck…
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Best customer profile
- Best Customer Profiles
- Our ideal customers are AI labs, robotics teams, and enterprise R&D groups that require diverse, rights-cleared, real-world visual datasets for training next-generation models—especially those focused on Asian and underrepresented markets.
- AI Labs & Model Developers:
- Frontier AI companies and research teams building foundation models, LLMs, or multimodal AI. For example, NVIDIA leverages Gump’s data to train autonomous driving systems tailored for Southeast Asian environments, ensuring their models perform accurately in local contexts.
- Robotics & Computer Vision Teams:
- Robotics and automation startups or divisions (e.g., SenseTime) needing high-context, annotated visuals to improve recognition of real-world Asian scenes, objects, and behaviors. Our platform supports mission-based data collection for edge-case scenarios and localization.
- Vertical AI Startups (Healthcare, Retail, Insurance, etc.):
- Industry-specific AI companies building models for healthcare diagnostics, retail analytics, or risk assessment, who need authentic, diverse, and context-rich data from Asia. Gump has powered pilots for leading global brands and research institutions.
- Enterprise R&D & Innovation Teams:
- Large enterprises and conglomerates (e.g., Getty Images, HKUST) investing in AI-powered products or services for Asian markets, who require large-scale, compliant, and locally relevant datasets for internal development and innovation.
- Key Needs We Solve:
- Access to rights-cleared, high-quality, and diverse visual data
- Fast, scalable, and compliant data collection—customizable by geography, context, or demographic
- Elimination of bias and gaps in existing (mostly Western-centric) datasets
- Enterprise-grade privacy, IP assurance, and API integration
Notable paying customers
- Alibaba Entrepreneurs Fund, HKUST, Cyberport, InvestHK
Built and launched Asia’s largest real-world visual data platform, connecting over 20,000 verified creators across 10+ countries and sharing more than 100 million rights-cleared photos. Developing a scalable, mission-driven data engine enabling AI teams to request and receive labeled, rights-cleared datasets in 48–72 hours via API or enterprise tools. Achieved strong customer traction with 100,000+ monthly active users and 3 million new photos added monthly. Secured exclusive partnership with Getty Images (Asia) and delivered projects for leading enterprises, including HKUST. Generated revenue from multiple streams: B2B AI data licensing, custom data missions, and SaaS subscriptions for photographers and enterprise clients. Selected for top accelerator and innovation programs, including NVIDIA Inception, HKAI Lab, and Cyberport Incubation Program. Recognized with industry awards, including Asia Smart App Awards 2024 (Merit) and Outstanding AI Photo Data Platform (Partnership Awards 2023/24).