Helping insurers outsource their claims end to end, serving a ~$200B industry.
Utilising an AI enabled platform with an industry leading claims team to deliver claims up to 3× faster, with better service and better economics for insurers.
This isn't the first successful venture the founders have launched.
Their last company was built from scratch and scaled to over 20,000 paying customers before a successful exit.
Along the way, they discovered a problem baked into the industry itself: insurers aren't allowed to process claims in-house, so they outsource to traditional providers.
Often leaving customers waiting 40+ days for something as simple as a pet's vet bill to be settled.
They started this company to fix that, combining licensed claims experts with AI from day one rather than bolting it on afterwards.
Raised $15M+ from a top US accelerator and leading venture investors, and we now manage claims for 30+ insurers including several publicly listed companies across more than $100M in insurance premium. The ambition is to scale to $1B and become the most valuable TPA in the market.
Already hitting multi-million ARR as an organisation.
The Role
You will build the AI platform powering insurance claims, helping people get support during life’s most critical moments. You’ll work with insurance specialists to turn claims processes into AI-driven workflows and deploy machine learning solutions at scale.
- Build AI systems that improve accuracy, speed up assessments, and enhance customer experience
- Work with insurance specialists to turn claims processes into AI-driven workflows
- Deploy machine learning solutions at scale
- Help build the engineering team and shape the technical culture from the ground up
- Work closely with the founders and learn how to scale a startup from 0 to 1
Qualifications
- 4+ years of experience in AI/ML engineering or research
- Proven track record of delivering AI/ML projects from concept to production, improving key company metrics
- Great at working with non-technical users
- Comfortable operating in ambiguous, high-velocity environments
