RekognizeAI provides a facial recognition algorithm that is specifically optimized for people of color, using the world’s largest proprietary dataset of over 100 million diverse, multi‑angle facial images. The ethically sourced data and bias‑mitigated models deliver higher accuracy for underrepresented demographics, and can be integrated via APIs or SDKs into security, authentication, and surveillance systems for enterprises and government agencies.
Funding
Funding not disclosed
Founders
Product
Problem
Current facial recognition systems exhibit high error rates for Black, Brown, and other minority groups, leading to misidentifications, wrongful arrests, and broader societal distrust.
Solution
RekognizeAI offers a facial recognition algorithm specifically optimized for people of color by leveraging the world’s largest proprietary dataset of diverse, multi‑angle facial images. The dataset is ethically sourced through secure public‑sector partnerships and controlled institutional pipelines, ensuring compliance and data governance. By training on this extensive, high‑variance collection, the algorithm delivers bias‑resistant accuracy that outperforms legacy systems on underrepresented demographics. The technology can be integrated via APIs or SDKs, allowing organizations to replace or augment existing facial recognition pipelines with a fairer alternative. Continuous dataset expansion and model updates maintain performance as demographic diversity evolves.
Target Audience
Primary customers are enterprises and government agencies that deploy facial recognition for security, identity verification, or law‑enforcement purposes and require equitable performance across diverse populations.
Features
- Proprietary dataset of 100M+ facial images of people of color captured in real‑world, multi‑angle environments
- Ethical sourcing with strict compliance and governance through public‑sector partnerships
- Bias‑mitigated algorithm that demonstrates superior accuracy on underrepresented groups compared to legacy models
- API and SDK integration options for seamless replacement or augmentation of existing facial recognition systems
- Scalable architecture designed for high‑throughput deployment in security, authentication, and surveillance applications