AI products and services for serious operators.

We build digital products and bespoke AI transformation services for teams that need production systems, better delivery curves, and fewer expensive experiments.

Products
02
Services
01
Proof
+50%

The system

One company. Digital products, AI transformation, and a shared stack underneath.

I

Digital products.

We build focused AI products around decision-making, knowledge, and operating leverage.

II

Bespoke services.

We work directly with engineering organizations when AI tooling spend has not turned into faster delivery.

III

Shared operating system.

The same product, workflow, and infrastructure discipline powers both client work and our own ventures.

Proof

AI transformation has to move a number.

The service line exists for teams that already bought the tools and still need the operating model to make them pay back.

Recent engagement

Series C SaaS, ~120 engineers. +50% meaningful throughput.

Measured in merged work that shipped to customers, not raw PR count. No headcount change. The work was repo readiness, agentic workflow, and team topology.

Products & services

Digital products we are building, plus services you can buy now.

The products are independent venture lines. The service line is available now for engineering organizations turning AI adoption into measurable delivery gains.

  1. 01 Stealth

    Decision Intelligence

    Decision Atlas

    Maps the downstream consequences of strategic decisions before you commit.

    Decision Atlas is a decision intelligence platform for boards, operators, and strategy teams. It models the second- and third-order consequences of strategic choices — hiring, pricing, org structure, M&A, launch sequencing — as a structured graph instead of a narrative deck. Most strategic decisions are made from a slide and a hallway. The downstream effects show up a quarter later, when the reorg has already stuck or the pricing has already leaked. Atlas surfaces those effects before the decision is made: what else moves, who gets loaded, where the retention risk sits, and what the realistic range of outcomes looks like across the next two to six quarters. The product is currently in stealth with a small group of design partners across Series B–D SaaS. We publish nothing about it publicly until the first cohort of structured decisions has shipped measurable outcomes.

  2. 02 Upcoming

    Knowledge Infrastructure

    Carmen OS

    Turns scattered team knowledge into a structured system you can act on.

    Carmen OS is a knowledge operating system for teams that have accumulated a decade of Notion pages, Slack threads, and tribal context — and still can't answer basic questions about their own work without pinging three people. The premise is that most "knowledge management" tools are optimizing for the wrong primitive. Documents and wikis assume the unit of value is a page you read. Carmen OS assumes the unit is a decision you act on: what was decided, who owns the consequence, what the current state of that decision is, and what contradicts it. The system extracts those decisions from existing sources, keeps them linked to the work that implements them, and makes them searchable in the language the team actually uses. Carmen OS is upcoming. We are talking to a small set of founding design partners now and expect a public beta in late 2026.

Service line

Bespoke AI transformation for engineering orgs operating agents at scale.

Service AI Transformation

Engineering Operating Model for AI

Builds the operating model engineering teams need to get real output from AI.

See offering

The shared core

What sits underneath every product and client engagement.

The studio model is the operating system: one team compounding product, engineering, data, and go-to-market infrastructure.

  1. 01 Diagnosis

    Clarity first

    We find the real constraint before prescribing tools, products, or reorgs.

  2. 02 Infrastructure

    Shared stack

    Data, evaluation, security, and delivery pipelines shared across products and client work.

  3. 03 Implementation

    Hands on

    Specs, workflows, review loops, and production systems that survive contact with real teams.

  4. 04 Operating discipline

    Real numbers

    We measure shipped outcomes, revenue, retention, and throughput instead of demos.

Inscribed on the face

Three principles, carved once.

I · Impetus

Impactful innovation.

We pick real problems with paying markets, validate them fast, and ship only what the market will pay for. Progress is measured in revenue and retention, not demos.

II · Libertas

Focused autonomy.

Each venture operates as its own company with its own team, roadmap, and brand. The studio provides leverage, not oversight theatre.

III · Perduro

Built to last.

Clean architecture, resilient systems, and honest unit economics — designed to hold up as usage and the business grow over years.

Contact

Tell us what you need to move.

Digital product, AI transformation, or a strategic partnership. One inbox, routed to the right conversation.

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