AI operating systems and custom builds for non-technical founders who want capability without DIY — or a first real version shipped.
Get an AI layer set up with safe defaults, memory, and guardrails — or turn your idea into a working POC or MVP with real auth, data, hosting, and a path to owning your stack.
For founders who want OpenClaw-like AI setup without wiring it themselves — and for those who need working software, not just generated code or pitch decks.
Two paths. One door.
Starting from: $500–$5K — individual setups from ~$500; fuller sprints up to $5K (fixed-scope diagnostic + setup)
Starting from: $2K–$5K (fixed-scope MVP sprint)
LevrAge Innovation Studios helps non-technical founders operate with AI and go from idea to functioning software — handling the operating layer, architecture, infrastructure, and first version builds that most "quick fixes" skip.
Provider setup, model routing, safe defaults, token discipline, project-memory architecture, and human-in-the-loop guardrails.
You bring the ideas and the work; we bring the operating layer that makes AI useful instead of chaotic.
Rapid builds you can click, test, and show to users or investors.
Focused scopes that validate the core behavior — not every feature.
Auth, data models, API integrations, deployments, and monitoring.
Clean setups that can later be handed off to your own team or vendors.
Everything is built with the assumption you'll outgrow the studio.
When you're ready, your product moves into accounts you own — with a roadmap for the next team.
AI tools are incredible accelerators, but they don't own your architecture, your uptime, or your user trust. LevrAge Innovation Studios uses AI inside a disciplined build process rather than outsourcing judgment to a prompt.
AI is part of the workflow here — never a substitute for ownership, judgment, or engineering decisions.
Every MVP needs infrastructure decisions. Here's how we approach them at the studio.
Hover over each component to see why these decisions matter at MVP stage.
The largest systems we operate — sovereign-grade infrastructure, not client MVPs. When prospects ask what we've built at scale, this is it.
Sovereign infrastructure
Proof-carrying workload coordination platform. Routing, attestation, receipt generation, node management, audit chain.
Sovereign infrastructure
Public-data sovereign intelligence: power-stress and macro-regime monitoring for Zambia. Emits CopperCloud ATTESTED receipts daily.
Fully built systems for evidence, traceability, and institutional decision-making — shipped end-to-end, not experiments.
Fully built · Live
Zambia-first evidence infrastructure. Development decisions that can be traced, trusted, and improved. Phase 2 in progress.
In-house products
Built and owned at LevrAge Innovation Studios — the same stack and patterns behind live SaaS, corridor infrastructure, and institutional surfaces.
Marketing and positioning surface. Zambia's digital sovereignty standards authority framing.
What we shipped
Economic diplomacy and market-entry intelligence for investors, government, and diaspora — ZVSF systems framework, SVS impact scoring, and embassy-ready ZECS pathways, powered by CopperCloud.
What we shipped
Post-LinkedIn networking platform powered by RAG and degrees-of-separation intelligence.
What we shipped
Corridor-grade trust layer for operators and partners on Africa's Atlantic export highway — shares sovereign primitives with CopperCloud.
What we shipped
Immersive community archive and institutional brief surface — narrative experiences for Zambia's hidden stories, not a generic content site.
What we shipped
Health application. Mobile-first.
What we shipped
Flutter mobile flagship · studio-owned
Client delivery
Shown with permission — execution patterns and shipped scope, not proprietary product ideas.
Problem
A health organization needed a secure way to deliver telehealth services and manage patient interactions in a specific regional context.
Solution
Specialized telehealth MVP with secure access, visit flows, and provider–patient communication primitives.
What we shipped
Problem
A consulting practice needed a credible bilingual web presence with clear service positioning.
Solution
Marketing site with dynamic placeholders and share-ready Open Graph metadata.
What we shipped
Problem
A bookkeeping firm needed a simple, credible web presence and light operational tooling.
Solution
Small business MVP that communicates services and supports basic client workflows.
What we shipped
Problem
A wealth and finance brand needed a clear online presence that could educate and convert without a complex app.
Solution
Brand and funnel site that explains the offer, captures leads, and guides visitors into the right next step.
What we shipped
Shipped & maintained
Live platforms built for community organizations — deployed, maintained, and separate from client MVPs and lab experiments below.
Built and deployed for the ZANC community — events, membership, and payments on a site the association owns and runs day to day.
Studio-built MVP for Operation iDream — pledge container space, watch fill levels hit goal, ship when the community threshold is reached.
Exploratory
Project ideas and early builds — some shipped as demos, most started for clients or partners who didn't move forward. Not maintained like community work above.
Early concept at the intersection of African markets and AI infrastructure — pattern tests, not a maintained product.
View build →Cold-chain and inventory experiment — client scaffolding that did not move into active delivery.
View build →Shopping assistant concept for busy parents — voice, text, and links into store lists. Idea-stage build.
Property management prototype — started for a client who did not push forward.
Earlier property-management iteration — archived experiment, not maintained.
The studio runs like a focused build sprint, not an open-ended agency engagement.
Short working session to define the problem, users, constraints, and success signal.
Decide what must exist in v1 and what can wait; map flows and data.
Ship a working POC or MVP, set up backend, hosting, and minimal monitoring.
Auth, data models, API integrations, deployments, monitoring
Incorporate early feedback, fix what breaks, and refine the core loop.
Move infra into accounts you own and outline options for your next build phase.
Account migration, documentation, handoff roadmap
Early-stage builds need clarity more than precision quotes. The studio uses simple ranges and scopes instead of open-ended hourly work.
Fixed-scope engagement to get you running with an AI operating layer — provider config, model routing, memory structure, safe defaults, and the first runbook. Individual setups can start around $500; fuller engagements run up to $5K, with a couple of weeks of post-setup consult included. Walk away with disciplined defaults, not a black box.
Fixed-scope, short engagement to validate a core behavior with a working prototype.
Fixed-range engagement to ship a product non-technical founders can put in front of real users.
Monthly support for teams that need short-term help running and stabilizing their first version.
Compliance-heavy, regulated, or highly sensitive builds are scoped separately.
Scope boundary: This studio is optimized for first versions. Long-term product development, scale engineering, or large teams are intentionally out of scope.
This is for founders who are ready to move from documents and decks to something users can actually touch — or to get an AI operating layer set up without wiring it alone.
Share enough detail to understand what you need, who it's for, your timeline, and what success looks like. If it's not a fit, you'll hear that quickly.
This site was built the same way your product would be.