Control in the age of acceleration

Designing
controlled
AI systems.

Two deliberate engines. One philosophy.
Systems that compound — not chaos that scales.

01 — Services Wing

AI Systems
for operators

Bounded interventions for operating companies. We deploy 1–2 agents per workflow. Explicit constraints. Observable logic. Artifacts you own.

Explore AI Systems
02 — Product Studio

AI-native
infrastructure

We build products on shared primitives. Praxiom AI is the flagship — decision intelligence for teams that think in systems.

Explore the Studio
The Shift

AI made building easy.
It did not make systems safe.

Teams ship faster than they reasonAgents act without boundariesAutomation increases entropyNo kill switchesArtifacts lost to Slack threads
The real bottleneck is no longer code.
It is control. Einstein Labs exists to design it in.

Every tool, every model, every framework has made execution cheap. What remains scarce is the ability to design systems that behave predictably under real-world complexity — before that complexity compounds.

What Einstein Labs Is

We are not

  • An AI agency
  • A chatbot shop
  • A SaaS factory
  • Open-ended retainers
  • Black box automation

We design

  • Artifact-first systems
  • Deterministic agents
  • Bounded interventions
  • Human-controlled autonomy
  • Infrastructure that compounds
Five Principles

Doctrine, not decoration.

01

Intent and execution are separate.

What you want to happen and how it happens are different problems. Conflating them is where systems fail silently.

02

Agents operate within explicit boundaries.

Open-ended agents don't fail gracefully. They fail invisibly. Explicit constraints make failures visible.

03

Humans retain irreversible authority.

Every system has a kill switch. Agents escalate. They do not decide unilaterally on irreversible actions.

04

Artifacts outlive agents.

The agent is a means of production. The artifact is the asset. We optimize for what remains after the agent is gone.

05

Bounded systems beat open-ended builds.

Scope is not a constraint. It is the design. Explicit edges make systems reliable, predictable, and ownable.

Entry Point — AI Systems

Shopify
Control Plane.

A focused Einstein Labs intervention for Shopify merchants doing $2–20M ARR. We pick one broken workflow. We fix it with a bounded, observable AI agent. You own every artifact.


10–14 day window  ·  1–2 production agents
Escalation logic defined  ·  Kill switches included
No retainer  ·  No lock-in

$5,000Flat fee. No retainer. No surprises.
  • One workflow, bounded and automated
  • 1–2 production-grade AI agents deployed
  • Escalation paths and decision rules documented
  • Failure modes mapped and tested
  • Full artifact ownership transferred to you
Apply Now →
Product Studio — Hero Product
Early Beta

Praxiom AI.

Decision intelligence for AI-native teams. Praxiom captures your product reasoning — not just what you decided, but why, what you assumed, and when to revisit.

As teams scale, reasoning dies in Slack threads and abandoned PRDs. Praxiom is where it lives instead. Institutional memory that grows with you.


Explore Praxiom AI
Decision Intelligence — Praxiom AI
Decision: Adopt agentic checkout flow
Intent captured · 3 assumptions tracked · Revisit: Q2
Assumption: Users prefer 1-click confirm
Needs validation · Linked to 4 downstream decisions
PRD: Agent-powered support tier
In progress · Reasoning preserved · Full history
⚑ Revisit triggered: checkout assumption untested
Drift detected · 6 weeks since last validation
Two Paths Forward
01 — Shopify Operators

One workflow.
Brought under control.

$2–20M ARR. Support breaking. Operations brittle. You want AI leverage without losing control of the customer experience.

Explore Control Plane
02 — AI-Native Founders

Build on
shared primitives.

You're building in a world where AI accelerates execution but complicates systems. You want infrastructure that reasons, not just tools that act.

Explore the Studio
03 — Investors

A platform,
not a portfolio.

Two execution engines. Shared infrastructure. Each product makes the system stronger. This is compounding — not scatter.

Read the Philosophy