Insurance

We’ve trained >80% of the world’s top AI models. Now, we’ll make them work for you.

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Use cases

Multimodal severity estimation

GenAI uses images and text to triage claims and predict payouts.

Climate risk analytics

Map environmental exposure to pricing and reinsurance strategy.

Underwriting copilots

Summarize applications, flag anomalies, and suggest decisions in real time.

Dynamic pricing models

Adjust premiums based on customer behavior and risk exposure.

Churn modeling

Predict and intervene with at-risk policyholders.

Regulatory summarization

Automate monitoring of regulatory changes and summarize implications for legal and product teams.

Security

Certified and compliant.

Our commitment to enterprise-grade security is one reason nearly every major foundation model has relied on Invisible to accelerate the development of their AI applications.

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Our approach

We embed with your team, observe how work flows, and build systems that align with what’s already in motion.

Trusted by

Invisible helped Nasdaq streamline a data integration process, reducing customer onboarding time and saving 10,000 developer hours.

Invisible improved Cohere’s data quality and scalability, enhancing multilingual, coding, and reasoning capabilities to strengthen its enterprise-ready AI performance.

Invisible automated processes like invoice reconciliation, W9 processing, claim approval letters, and compliance support, resulting in significant cost and time savings.

Invisible's team worked within the client's platform to review model conversations from the research team and assess the level of accuracy of the model responses.

Invisible's team stepped in to review partially completed conversations between different models. We analyzed the search results, reference material, and model responses.

Let's build it.

We'll show you exactly where AI fits — and where it doesn't. No pressure. No jargon.

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