Labs · Strategy · Capital
We outfit leaders, operators, and founders for the biggest shifts ahead.
Intro video coming soon
Three mindsets
Leaders come to us in one of three states of mind. Each one points to a division — and a different first move.
The Operator
You don't need a manifesto, you need working systems. In Labs we prototype in a day, automate the workflows draining your team, and build what off-the-shelf tools can't — then engineer it to production. Evidence before budget.
Explore LabsThe Strategist
You answer to a board, a regulator, or your own skeptical managers. Strategy maps where AI actually pays, what it puts at risk, and how the landscape moves — with governance, diligence and scenario planning that hold up under scrutiny.
Explore StrategyThe Pioneer
Ambition deserves rigor. Capital takes frontier founders from raise-ready to funded — pitch, model, data room and warm introductions to technology VCs — and stays with you through acquisitions and the eventual exit.
Explore CapitalOur three divisions
Build it, defend it, fund it — Labs, Strategy and Capital cover the lifecycle of an AI venture, with one accountable team across all three.
Why us
We are a tight, AI-native team of founders, ex-accelerators, asset managers, M&A advisors, and board members. Our global network and deep experience let us see around corners. While others sell templates or junior hours, we deliver senior thinking, candor, and flexible mandates sized to the stakes of the Fourth Turning.
Most firms hand you off — strategy from one, build from another, the raise from a third. We run all three. Labs builds, Strategy sets the direction, Capital funds the future, and one accountable team carries you across them. Operators, not theorists: everyone who advises you has built, bought, fixed or sold real businesses.
Every engagement is measured against your own numbers, with a baseline set before we start. We prove value with working systems, not a deck — and we tell you when the honest answer is to wait.
We're known for making improbable things work — in hours and days, not quarters. A global network assembled per engagement, so you get the three right people instead of the nearest ten.
What clients say
From Labs client
They told us on the first call which of our three AI ideas wouldn't work, and why. That candor saved us a quarter of wasted effort — and the prototype they built for the one that did work was in production within two weeks.
From Strategy client
We needed an AI strategy our board could actually interrogate, not a wish list. They gave us one tied to our P&L, with governance that sped decisions up instead of bogging them down. It's the Compass we keep coming back to.
From Capital client
We had confusing messaging in our data-room & an ESOP mess. Their raise-readiness sprint rebuilt our deck, model and data room in two weeks & we even discovered an addressable market we missed that led to warmer dialog with investors & a successful Seed round.
Insights
AI is arriving in a Fourth Turning, when institutions are rebuilt rather than patched. What that means for your operating model, and what to do about it.
June 12, 2026 · 9 min read
The cost of testing an AI idea has collapsed. How rapid AI prototyping turns six-week discovery projects into working demos and same-day decisions.
June 9, 2026 · 8 min read
A four-quadrant framework for cutting costs with AI: what to automate now, where humans must keep deciding, and the hidden costs most founders miss.
June 5, 2026 · 9 min read
Questions
The name comes from Strauss and Howe's theory of generational cycles: roughly every 80 to 100 years, societies enter a Fourth Turning — a period when established institutions lose authority and new ones get built. Whatever you make of the theory's specifics, the pattern fits the present moment. AI is rewriting how organizations work, and the leaders who prepare deliberately will shape what replaces the old ways. That worldview — long cycles, sober urgency, preparation over panic — runs through everything we do. Turnings reward the prepared.
Take the AI maturity assessment. It takes about 20 minutes and gives you an honest read on where your organization stands across strategy, data, capability, and governance. Then book a strategy call. We'll walk through your results together and tell you plainly what we would do first — whether or not you decide to work with us.
It depends on what you're after, so here are honest ranges. Working prototypes take hours to a few days. A full AI strategy — one you can defend to your board — takes four to six weeks. Production implementations typically run two to six months depending on scope. If a timeline someone else has promised you sounds too good, we'll tell you that too.
Founders, CEOs, and CTOs of small and mid-sized companies and smaller enterprises — organizations large enough to have real problems and small enough to move on them quickly. Our clients span industries and time zones. Engagements are remote-first, so geography rarely matters.
No. Implementation leads everything we do — rapid prototyping, generative AI builds, and custom solutions that land in production. Strategy and governance exist to prove the value and protect it, and training is the on-ramp. Governance and risk matter, and we take them seriously, but they serve the build; they don't replace it.
We sort work into three shapes. Volume is quick, fixed-price wins for small and local businesses. Core is scoped strategy-to-implementation for SMEs and professional firms — our sweet spot. Anchor is higher-value bespoke work with embedded assurance for regulated and corporate organizations. A short discovery call settles which one fits, and we'll say so plainly even when the honest answer is “not yet.”
It depends on scope, and we won't pretend otherwise. A prototype sprint costs a fraction of a full strategy engagement; a custom build is priced on its complexity. Every engagement is scoped and priced on a call before any work begins, and the figure we agree on is the figure you pay. No surprise invoices.
Tell us where you are. We will be candid about what comes next — whether or not we end up working together.
