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At Strative, we are revolutionizing unstructured and complex document-heavy processes for specialty insurers, MGAs, and wholesalers. Our AI-powered Intelligent Document Processing (IDP) platform automates submission intake, loss run extraction, renewals, and claims, eliminating manual effort and ensuring faster underwriting and compliance-ready accuracy.
Our Vision: Empowering Specialty Insurers with AI-Driven Automation to Transform Submission Processing, Reduce Costs, and Ensure Accurate, Informed Decisions
Maulik is an accomplished entrepreneur with 20+ years of industry exp and business leader with a strong background in AI and enterprise software. He has successfully founded and scaled multiple startups, with a keen understanding of market dynamics and customer needs. Maulik's strategic vision and business acumen will be pivotal in driving Strative's go-to-market strategy and fostering strong customer relationships.
Tilmann is a PhD holder, seasoned technology leader with over 25 years of experience in building cutting-edge AI and machine learning solutions. He has a proven track record of delivering innovative products and leading high-performance engineering teams. Tilmann's deep expertise in natural language processing and RAG models will be instrumental in driving the technical vision and development of Strative's platform.
“AI is redefining how specialty insurers handle submissions, underwriting, and claims. Strative’s platform combines intelligent automation with industry-specific insights, eliminating manual inefficiencies and accelerating decision-making. With AI, insurers can work smarter, reduce errors, and improve efficiency without overhauling their existing systems..”
"At Strative, we are redefining how specialty insurers process complex data. Our AI-driven technology enhances accuracy, precision, and contextual relevance—turning unstructured submissions, loss runs, and claims into actionable intelligence. By partnering with industry leaders, we ensure that our solutions deliver measurable efficiency gains and real-world impact at scale."
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