eight x Competitors

Specsavers began 40 years ago with the vision of two optometrists, Doug and Mary Perkins, who set out to provide best-value eyecare to everybody. Their passion for optometry has led Specsavers to become the largest privately-owned optical group in the world, delivering high-quality, affordable optical and hearing care in 12 countries. And it continues to shape the lives and experience of around 41,000 colleagues who are developing their careers with us across the globe.

Orcam leverages the power of AI for handheld and wearable devices that enhance independence for those with visual impairments and reading challenges. OrCam's devices offer a world of possibilities, assisting users with reading, product identification, and face recognition and empowers individuals with visual impairments to explore the world more easily and confidently. Our team consists of top experts in the Computer Vision and Machine Learning field, supported by dedicated software and hardware engineers, and a first-rate customer service team. We take pride in our diverse team, which includes sighted, low vision, and blind members, all working together to create technology that makes a real difference in people's lives. Want to join our team? Email: careers@orcam.com

For industries where a wrong answer isn't an option, AI needs an expert harness. Manufacturing, life sciences, energy and telecom teams run Iris.ai on their own complex technical documentation and systems. This is the discipline of AI Harnessing: controlling what an AI system is given and verifying what it produces. It spans data, context, orchestration and evaluation, so expert knowledge yields deterministic, auditable answers instead of plausible guesses. Iris.ai is a Norwegian AI company, founded in Oslo in 2015 as the country's first AI startup. The second person we hired was a researcher, and we have run a research team for 11 years since. That research became our key: → Axion™ enables the harness. It reads the documents no system can read: schematics, tables, scans, 68 languages, and structures them once for every agent that follows. → Neuralith™ applies the harness. Multi-agent workflows on the models you choose, in your cloud or on premise. The same question over the same source returns the same answer. → LLM Evaluation closes the harness. 23+ mechanistic metrics read the model's internals during inference. Not LLM-as-a-judge. In production today: 97% accuracy where the hyperscaler baseline scored 82%. Every pilot to date has converted to production. Backed by the European Innovation Council, scaling with AWS. Bring us your hardest material: www.iris.ai