Nevado AI has formally launched as an AI-native technology company targeting insurance and financial services institutions constrained by legacy infrastructure.
The company is headquartered in New York City, with a technical hub in Minneapolis, and positions itself around enabling agentic AI adoption without the drag of system modernisation projects that never quite end.
Founded by executives with long tenures across insurance, financial services, and enterprise technology, Nevado delivers a fully integrated platform built around agent orchestration rather than incremental tooling.
The product targets operational redesign, faster decision cycles, and workflow simplification inside heavily regulated environments where change typically moves slowly.
Nevado AI is framed as “agentic infrastructure” for heavily regulated environments, emphasizing human-guided AI agents with embedded controls.
It markets outcomes such as faster product launches for MGAs, reduced maintenance overhead, and the ability to reallocate a large share of teams’ time from system upkeep to higher-value strategic work.
Chief executive and co-founder Sharon Rodriguez said insurers and financial institutions face a structural bottleneck created by ageing systems and accumulated technical debt.
She described legacy infrastructure as both a technical and strategic constraint, limiting how firms compete as markets and customer expectations shift.
Legacy systems have created a fundamental constraint with technical friction and a strategic bottleneck that prevents companies from competing in a rapidly evolving market. At Nevado, we’re removing constraints to accelerate development and eliminate maintenance burden.
Sharon Rodriguez, Nevado’s co-founder
According to Rodriguez, Nevado’s AI-native approach removes ongoing maintenance burden while embedding compliance, human oversight, and industry context directly into the platform.
The result, she said, allows teams to redirect up to 70% of time previously spent maintaining systems toward initiatives tied to differentiation and growth.
Our AI-native platform features embedded compliance, human oversight, and deep industry context, enabling teams to redirect 70% of their time devoted to system upkeep to strategic innovation that drive competitive advantage.
Chief technology officer and co-founder Tyler Danielson said Nevado is not focused on marginal improvements to traditional software development processes. Instead, the platform reframes software delivery as an industrial capability driven by autonomous agents, moving beyond human-paced development cycles that struggle to scale alongside modern AI systems.
Nevado positions its offering as an alternative to fragmented point solutions layered onto inflexible core systems.
The platform operates as a unified, AI-native environment coordinated through agent protocols, allowing organisations to adjust workflows as AI capabilities mature while maintaining the controls and resilience demanded by insurers and financial regulators.
According to Beinsure analysts, platforms designed around orchestration rather than retrofitting increasingly appeal to institutions facing overlapping regulatory and operational pressure.
Chief operating officer and co-founder David Sullivan said the founding team spent decades on both sides of the market, first as buyers wrestling with integration complexity, then as sellers watching clients fail to extract full value from new technology.
That experience, he said, shaped Nevado’s focus on eliminating friction between emerging capabilities and entrenched systems rather than layering abstraction on top.
We understand the challenges and complexities companies face in integrating emerging capabilities with legacy systems. We’ve also been on the other side of the table selling the technology, and have insight into how these products and systems will deliver maximum value to their organizations.
David Sullivan, COO and Co-Founder of Nevado
“This is about embracing where the world is going rather than being trapped in where it has been,” said David Sullivan.
The platform includes training and contextual libraries designed to shorten onboarding cycles for autonomous agents, reducing setup time and operational drag.
These features compound over time, increasing efficiency while giving engineering and product teams more latitude to ship new services without reworking foundational infrastructure.
Nevado AI describes its mission as modernising insurance and financial services responsibly. Its platform combines agent orchestration, embedded compliance, and human-guided oversight to support faster operations while expanding capacity for innovation.
Nevado AI provides a modular, AI-native platform that plugs into existing insurance and financial systems via secure, open APIs.
It is designed to standardize data flows, orchestrate agentic AI workflows, and automate parts of the software development lifecycle (SDLC), from architecture and development through testing, deployment, and operations – while preserving compliance and auditability.
The platform targets pain points like legacy core systems, fragmented point solutions, and stalled “digital transformation” programs, aiming to let teams go live in weeks and incrementally modernize operations rather than undertaking multi-year replacements.