$5.1M seed led by Flying Fish. Read the announcement

The Trust Layer forProduction AI

Build and deploy your models and agents faster, with verifiable control at every stage. Runs in your environment. Works with the tools you already use.

Early Access Open Roles

Mission

Enable every organization to own its AI future.

Artificial intelligence is changing software and application development in the same way cloud computing changed infrastructure. But this shift goes much further.

For the first time, intelligence itself is becoming something organizations build, own, and continuously improve. Models, data, agents, and the systems around them are becoming a company's most valuable intellectual property. Companies that control these assets will move faster, differentiate their products, and lead their markets.

Owning AI is no longer optional. It's the next strategic moat.

Yet building production AI remains far more complicated than it should be, with teams stitching together infrastructure, security, governance, and deployment workflows instead of building the intelligence that sets them apart. With AI becoming a core business asset, confidence in how it is built and deployed matters as much as the intelligence itself. Without it, organizations compensate with more process, more reviews, and more operational complexity, slowing the pace of innovation.

We believe that complexity should disappear into the AI infrastructure platform. Trust should not be another tool or another approval process. It should be an intrinsic property of every model, every artifact, and every deployment, giving developers the freedom to move faster and organizations the confidence to deploy AI at scale.

This is where we begin: building the trust layer for production AI.

What we’re building

One control planefor the model layer.

Your AI workflow

01Data

Analysis & preprocess

02Experiment

Baseline & sweeps

03Train

Pre-training & checkpoints

04Align

Fine-tuning & RLHF

05Evaluate

Benchmarks & red-teaming

06Optimize

Quantize & Compile

07Deploy

Serving & monitoring

NeuromorphicControl Plane

Enforce policy at runtimeCreate verifiable evidence

Your environment

Software tooling

Notebooks & frameworksData & feature layerExperiment trackingPipeline orchestrationRuntime optimizationDeployment & monitoring

Infrastructure

ComputeStorageNetworking

Asset identity

Every asset gets a unique and verifiable identity

What it does: Every dataset, model, prompt, agent, policy, and compute environment receives a unique cryptographically verifiable identity that follows it throughout its lifecycle.
How it works: Identity is derived from the contents of the asset itself, and for compute environments from their measured state. Every identity is signed, versioned, and immutable, so any change produces a new identity while preserving history. Assets are registered by reference, so they stay in the systems where they already live.
Value: Know with certainty that the model running in production, and the infrastructure serving it, are the ones you approved, by comparing identities instead of launching an investigation.

Buildwith us

Open Roles

Do the best work of your career

We believe exceptional companies are built by exceptional people. People who care deeply about what they build, think critically about how they build it, and are always looking for a better way.

We look for builders who hold themselves to a high bar, have strong conviction, and are willing to adapt. People who take ownership, move with urgency, and focus on the outcome rather than the boundaries of a role. People who go deep in their craft and work naturally across disciplines.

We are building a team where people challenge each other, learn from each other, think boldly, move quickly, and do work that matters. If you want to help build what comes next in AI infrastructure, with people who expect the best of themselves and each other, we want to hear from you.