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§ Private Profile · San Francisco, CA, USA
Platform to automate manual back-office work
Key people at Velos.
Velos was founded in 2023 by Oscar A. Martinez (Founder).
Velos helps non-technical operations teams automate complex, manual back-office tasks with AI workers instead of overseas teams.
Unlike traditional robotic process automation (RPA) platforms like UiPath, Velos automations use machine learning to reliably handle ambiguities in their tasks, eliminating the need for an army of maintenance engineers and consultants to build and maintain your automations.
We're automating the repetitive work people hate to do.
Velos was founded in 2023 by Oscar A. Martinez (Founder).
Key people at Velos.
Velos is an AI-powered automation platform designed to transform complex, manual back-office workflows into efficient, AI-driven processes. It primarily serves industries like insurance, finance, and local government by automating high-volume, nuanced tasks that typically involve unstructured data such as PDFs, spreadsheets, and emails. By replacing manual labor and offshore teams with an AI workforce, Velos enables organizations to reduce errors, increase operational speed, and free staff to focus on higher-value work[1][2][4][7].
For an investment firm, Velos represents a cutting-edge solution in the AI automation sector, focusing on operational efficiency and digital transformation in traditionally manual-heavy industries. Its impact on the startup ecosystem includes accelerating AI adoption in back-office operations and demonstrating the viability of AI as a workforce substitute for complex, ambiguous tasks.
For a portfolio company, Velos builds a no-code AI automation platform that serves non-technical operations teams, especially in insurance and finance. It solves the problem of inefficient, error-prone manual data processing by providing a flexible, end-to-end AI assistant platform that integrates seamlessly with existing systems. Velos has shown growth momentum by securing clients such as commercial carriers, MGAs, and wholesalers, and by differentiating itself with managed implementation and customizable automation pipelines[1][2][4][7].
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Velos was founded by Oscar Martinez, who brought a vision to leverage the latest AI technologies—like large language models and natural language processing—to automate complex manual back-office tasks. The idea emerged from recognizing the limitations of traditional robotic process automation (RPA) and offshore labor in handling ambiguous, unstructured data workflows common in insurance and finance sectors[7].
Early traction came from successfully automating data migration, underwriting submissions, and compliance workflows for insurance companies, proving the platform’s ability to handle complex data formats and integrate with legacy systems. This pivotal success helped Velos evolve into a full AI workforce platform with managed implementation services, setting it apart from simpler automation tools[4][5].
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Velos rides the growing trend of AI-driven automation replacing manual, repetitive back-office work, especially in sectors burdened by unstructured data and regulatory complexity like insurance and finance. The timing is critical as organizations seek to improve operational efficiency and reduce costs amid labor shortages and rising offshore labor expenses. Market forces such as advances in large language models and natural language processing enable Velos to offer flexible, human-like decision-making automation that traditional RPA cannot match[1][2][7].
By enabling non-technical teams to deploy AI assistants, Velos democratizes AI adoption and influences the broader ecosystem by setting new standards for intelligent automation in complex workflows. This helps accelerate digital transformation in legacy industries and encourages further innovation in AI workforce solutions.
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Velos is positioned to expand its footprint in insurance and finance while exploring adjacent sectors with similar back-office automation needs. Future trends shaping its journey include continued advancements in AI models, increased demand for no-code automation platforms, and growing emphasis on operational resilience and compliance.
As Velos evolves, it may deepen its managed implementation services and enhance its AI assistants’ capabilities, potentially incorporating more predictive analytics and real-time decision support. Its influence will likely grow as more organizations recognize AI as a strategic asset for back-office efficiency, making Velos a key player in the AI automation landscape.
This trajectory ties back to Velos’s core mission: transforming manual, error-prone processes into scalable, AI-powered workflows that empower teams and drive strategic growth[1][2][7].
