We design how a company remembers, decides, and improves.
Every company already contains more intelligence than it can use. We make it visible, build it into the way the company works, and help it compound through every cycle.
Build what compoundsMachine intelligence is becoming infrastructure, built into the systems where work happens. Most companies are adding it to a model built for scarce human intelligence. That creates speed and output, without helping the company retain context, improve decisions, or compound what it learns.
The advantage shifts to the company that turns experience into capability.
Read the thesis →Knowledge lives in heads, threads, systems, and habits. Teams reconstruct it between projects, and much of it leaves with the people who held it. We begin by making how the company actually works visible: the work, decisions, dependencies, context, and where it can improve.
Five connected parts make the company visible, preserve what it knows, govern its intelligence, turn it into action, and keep people in control.
Cognitive architecture is how a company is built to see, remember, decide, act, and learn.
See and redesign how the company works.
Connect what the company knows so it can remember, reason, and learn.
Keep the company’s intelligence secure, compliant, sovereign, and under human authority.
Turn company intelligence into coordinated business outcomes.
Keep people in command of the system.
Infrastructure makes intelligence available. Architecture makes it organizational.
The company should become more capable without becoming less human, less governed, or more dependent.
Observe before prescribing.
The outcome matters more than the task.
The architecture carries the context. People carry the judgment. People set direction, approve consequential action, intervene when needed, and stay accountable.
Models and vendors are replaceable; the company's intelligence is not.
Outcomes return as memory and learning, so capability compounds.
One team works from observation through design, engineering, adoption, and stewardship. The people who learn the company stay to build it.
We work beside the people doing it to see how value is created, how context travels, and how decisions actually get made.
The same team moves from operating design into product and engineering, so context does not disappear through handoffs.
We build the controls, knowledge, and internal capability to govern, extend, and continue the work.
The gains show up in the daily work: better decisions, less coordination overhead, and experience that becomes reusable capability.
capacity released for judgment, customers, and growth
less coordination overhead across handoffs
cycle time on important operating loops
relevant context and reasoning arrive when judgment is required.
less time searching, coordinating, rebuilding context, and repeating solved work.
experience becomes a reusable way to perform important work.
lower cost per outcome, less software sprawl, more revenue capacity per person.
Measured through cycle time · cost per outcome · capacity released · error and rework · software and model spend · revenue per employee
Infrastructure can change. The company's intelligence stays.
Every engagement leaves behind something the company owns. Nothing starts over.
We make the operating model visible and define the first capability worth building.
You own
the model, priorities, and first capability definition.
We combine context, logic, systems, digital workers, and human judgment around a measurable outcome.
You own
a working capability and the architecture behind it.
We extend the model across capabilities and build the team's ability to govern and improve it.
You own
an evolving architecture and the capability to continue the work.
Regen8 brings operating strategy, organizational design, product, and engineering into one embedded team. The founders stay directly involved from observation through stewardship.
Built and scaled Headspace's enterprise customer success and partnerships channel to $10M+ ARR. Leads commercial strategy, revenue, organizational design, and client success.
Five-time founder with a decade-plus building companies, products, and AI-native systems. Leads cognitive architecture, product, engineering, and client delivery.
20 years as a chief technologist and agentic AI engineer.
Multi-exit founder; Five Talent acquired by Effectual in 2020.
Four-time venture-backed CEO: Kollective, Visible, Talisma, Captura.
30 years leading complex enterprise technology consulting.