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Neuromorphic Labs builds an enterprise platform that acts as a trust layer for AI, helping organizations move from using AI as a service to owning it as strategic infrastructure. It provides visibility, control, and verifiability across the AI lifecycle by tracking every change to models, data, and agents to ensure provenance, consistency, and policy enforcement during runtime. The platform integrates with tools data scientists already use and works across public clouds, on-premises systems, and edge infrastructure. Unlike competitors that offer isolated tools, Neuromorphic Labs focuses on built‑in trust and governance across the entire AI lifecycle, from development to deployment. Its goal is to make building, deploying, and operating AI as seamless and reliable as modern software development, with trust embedded at every stage.
Industries
Data & Analytics
Enterprise Software
Cybersecurity
AI & Machine Learning
Company Size
1-10
Company Stage
Seed
Total Funding
$5.1M
Headquarters
Seattle, Washington
Founded
2025
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Total Funding
$5.1M
Above
Industry Average
Funded Over
1 Rounds
Industry standards
Company Equity
Neuromorphic Labs has raised $5.1 million in an oversubscribed seed round led by Flying Fish, with participation from Toyota Ventures, Amplify Partners, Tandem Ventures, SaaS Ventures and others. The Seattle-based company is building a trust layer for production AI, enabling organisations to develop, deploy and integrate models and agents into business-critical applications with control and verifiability. The platform embeds trust into the AI lifecycle by giving models, weights, datasets and agents verifiable identity, tracking them through every change to enable provenance and policy enforcement at runtime. It works with existing tools and runs across public clouds, on-premises, edge and hybrid infrastructure. Founder and chief executive Chetan Kapoor previously served as chief product officer at CoreWeave and led the AI infrastructure business at AWS.
Welcome to the Cadence blog. Cadence Team · March 12, 2026 Cadence is excited to launch the Cadence blog. This is where Cadence'll be sharing its thinking on AI-assisted development, engineering team productivity, and the tools and practices that help dev teams ship better software, faster. What to expect. Cadence'll be writing about: * AI coding insights - what Cadence is learning about how developers actually use AI tools, and what separates the teams that get real value from the ones that don't. * Product updates - new features, improvements, and the reasoning behind its product decisions. * Engineering culture - how high-performing teams build habits around visibility, feedback, and continuous improvement. Why a blog? Cadence talk to engineering leaders every day who are navigating the same questions: How do I know if my team is getting value from AI coding tools? How do I help them improve? What does "good" even look like? Cadence want to share what Cadence is learning - from its own product data, from conversations with customers, and from building Cadence itself. Stay tuned. Cadence has a lot to share.
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Industries
Data & Analytics
Enterprise Software
Cybersecurity
AI & Machine Learning
Company Size
1-10
Company Stage
Seed
Total Funding
$5.1M
Headquarters
Seattle, Washington
Founded
2025
Find jobs on Simplify and start your career today