Intelligence Foundry
Type / PipelineA working type foundry run on our own AI pipeline—custom display typefaces, AI-drafted and human-finished.
ShippedOpen question to shipped software
Intelligent assembly
Dedicated full-stack team
New York · Dubai · San Francisco
New York · Dubai · San Francisco
Open question to shipped software.
Intelligent assembly is a full-stack AI neo-service firm: a dedicated team for strategy, product design, AI engineering, software engineering, and release.
- Sprint2–6 weeks
- TeamDedicated full-stack team
- ScopeOne consequential product
- DeliverablesWorking software + docs
Taking one focused engagement
Dedicated team · Production release
Built before pitched.
Our own products are the proof surface: difficult systems framed, designed, engineered, and operated through the same assembly we sell.
Verdict
AI / ProductA multi-model consensus engine that turns competing machine judgments into one inspectable, defensible answer.
ShippedPlatform
Agent OS / CDoSA command-layer operating system for directing agents, preserving context, checking work, and moving software to release.
OperatingEvery system above was framed, designed, engineered, and shipped by the same assembly we bring to client work.
One operating
assembly.
Five disciplines move as one system. Nothing gets translated twice.
One sprint.
Four ways in.
The Intelligent Assembly Sprint is a fixed-scope engagement that gives one consequential product a working release.
Duration2–6 weeks
TeamDedicated full-stack team
ScopeOne consequential product
DeliverablesWorking software + docs
InvestmentFrom $10k USD
Frame
When the decision is still ambiguous.
Resolve the user job, evidence, constraints, product shape, technical path, and release bar—then make the decisive slice tangible.
2–3 weeksPrototype
When the concept needs to become tangible fast.
Build a high-fidelity, testable prototype that resolves the core flow and gives users, investors, or the product team something real to react to.
2–3 weeksShip
When the direction is sound but the product is not live.
Turn the strongest product slice into a tested repository, production interface, deployed release, and observable learning loop.
3–6 weeksRecover
When the build has lost momentum or trust.
Audit the product and code, isolate the leverage point, repair the system, and restore a clean path to production.
2–6 weeksWhat leaves with you.
- 01Decision brief
- 02Interface system
- 03Working repository
- 04Tests
- 05Deployment
- 06Analytics
- 07Documentation
- 08Next-sprint plan
The scope, schedule, and investment are fixed before work begins. Client owns the code, design system, and documentation.
When intelligent assembly is useful.
Bring one consequential software problem, access to the context, and the authority to ship. We turn it into a bounded release that works.
Decide what to build
The opportunity is credible, but the user job, evidence, risk, or release bar is still unresolved.
Turn a concept into production
A prototype or strong idea needs a coherent interface, real engineering, tests, deployment, and ownership.
Recover a stalled build
A valuable product is trapped behind brittle code, unclear priorities, incomplete design, or repeated handoffs.
Add an AI capability with control
AI belongs in the product, but it needs evaluation, human checkpoints, and a maintainable operating boundary.
One important product. One decision-maker. Ready to ship within 90 days.
Staff augmentation, design-only work, or multiple parallel projects.
Throughputwithoutautopilot.
Agents draft specs, code, tests, QA, and docs. Senior hands set the direction and sign off every release.
Human direction inVerified release out
Before we start.
What ships at the end of a sprint?
The exact release depends on the product question. A typical sprint leaves you with a decision brief, interface system, working repository, tests, deployment, analytics, documentation, and a next-sprint plan. We define the committed set before work begins.
How is the investment set?
We first isolate the smallest consequential release. The assembly then proposes one fixed scope, schedule, and investment tied to that release—not an open-ended pool of hours.
Who owns the work?
You do. The client owns the production code, design system, documentation, project artifacts, and accounts created for the engagement.
What happens after release?
You can operate the system with your team, hand it to another partner, or commission a follow-on sprint. Intelligent assembly leaves the product documented and does not create dependency by default.
How does AI enter the work?
Agents expand throughput across research, specifications, code, tests, QA, and documentation. Senior practitioners set direction, review outputs, and remain accountable for every release.
Product × AI × Engineering