Enterprise AI is moving beyond experimentation. As companies build their own models, agents, datasets, and workflows, the harder question is becoming less about whether AI works and more about whether businesses can reliably control what they put into production.
Neuromorphic Labs is building for that problem. The Seattle-based startup has raised an oversubscribed $5.1 million seed round led by Flying Fish, with participation from Toyota Ventures, Amplify Partners, Tandem Ventures, SaaS Ventures, and others. The company plans to use the funding to expand its founding team and move its platform toward general availability.
Founded by Chetan Kapoor, previously chief product officer at CoreWeave and a former leader of AWS’s AI infrastructure business, Neuromorphic Labs is developing what it describes as a control plane for the model layer.
Its thesis is that AI assets are becoming strategic intellectual property. Models, datasets, prompts, agents, policies, and the compute environments supporting them can all influence how a company’s intelligence behaves. As those components move through development, training, deployment, and production, organizations need a reliable way to establish what changed, where an asset came from, and whether the version running in production is the one that was approved.
Neuromorphic Labs assigns cryptographically verifiable identities to those assets. The company says identities are signed, versioned, and immutable, allowing changes to create new identities while preserving lineage. Its platform also spans runtime policy, traceability, compute verification, and deployment, and is designed to work across public-cloud, on-premises, edge, and hybrid environments.
The broader challenge is fragmentation. Enterprises already use security, governance, MLOps, observability, and deployment tools to manage different parts of the AI lifecycle. Neuromorphic Labs is betting that identity and verification can become a shared layer across those systems.
