Development registryUpdated / Pre-launch
Current work,
without the launch theatre.
Product names, interfaces, and release dates remain under wraps. This registry describes the problems under active development, the convictions guiding the work, and what each program must prove before it reaches the public.
04 product territories / In stealth01Why these belong together
Different surfaces.
The same hard transition.
Each program sits where a system must move from understanding into consequential action. That transition changes the product problem: context must be maintained, uncertainty must be visible, and the human or system boundary must be designed deliberately.
State / In stealth
AI-native applications
Mobile · Web · Desktop
- Problem
- Most AI software still waits inside a chat box, detached from the state, tools, and decisions that make work move.
- Product conviction
- Useful intelligence should understand context, help complete the next step, and remain visibly under the user’s control.
- Release condition
- Repeatable utility, clear user agency, and a reason to return after the first impressive result.
02 / AI × DeFiState / In stealth
Intelligent capital systems
Data · Risk · On-chain action
- Problem
- Decentralized markets expose data and execution, but still make people assemble context, risk, and action by hand.
- Product conviction
- AI can make digital capital more legible without hiding custody, uncertainty, or the consequences of an action.
- Release condition
- Transparent reasoning, explicit risk boundaries, and actions that can be inspected before they are committed.
03 / SecurityState / In stealth
AI security
Cyber · Information · Trust
- Problem
- Security teams face more weak signals, changing attack surfaces, and investigative work than human attention can combine reliably.
- Product conviction
- AI should compress the distance from signal to judgment while keeping the evidence, uncertainty, and operator in view.
- Release condition
- Explainable findings, auditable actions, and safe failure when the system does not know enough.
04 / Physical AIState / In stealth
Embodied intelligence
Perception · Control · Robotics
- Problem
- A model can reason in text. A physical system must also handle latency, uncertainty, changing environments, and consequence.
- Product conviction
- Embodied intelligence becomes a product only when perception, control, interface, and safety are designed together.
- Release condition
- Reliable behavior under real constraints, beyond a controlled demonstration.
Release postureStealth is temporary.
Standards are not.
We are not collecting a universal waitlist or announcing products before their use and boundaries are clear. Relevant investors, builders, and partners can open a direct conversation with the lab.
Open a conversation ↗