Your AI jungle guide.
Speed Your AI Journey
Navigating AI is hard. We'll speed your journey via AI-accelerated software builds, and customized AI labs where we coach your team to build their own tools. Production systems you own, not strategy decks.
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Built by APES.
AI-Accelerated Software Build
Custom software built with our own framework: specs, parallel orchestration, adversarial reviews, and build loops that run while you sleep. We fold in new techniques as they emerge.
Any monkey can vibe code a demo. Strong production systems need APES.
AI-Accelerated software build
- ✓Discovery sprint, one to two weeks. Architecture, workshops, and agreement on what success looks like before the build starts.
- ✓A working application on your infrastructure. Deployed, monitored, and production-grade at the first release.
- ✓Documentation and handover. Source, infrastructure, and architecture decision records, written well enough for your team to run the system without us.
- ✓AI applied across the lifecycle. From working out what to build through operating what shipped, not the coding step alone.
- ✓Cloud, data, and edge. Three deployment targets, one framework.
Your team, evolved.
AI Innovation Lab
We embed with your team and coach them to solve high-value problems and ship working tools they own.
The lab runs two ways, and which one you want depends on whose problems get solved first.
For business teams
AI Lab: Your team builds it
We embed with your business team and coach them to solve high-value business problems and ship working tools they own.
- ✓A working group of three to six people from your side. They do the building; we coach.
- ✓Regular working sessions against a prioritized backlog your team maintains.
- ✓A success criterion before each prototype.
- ✓Specialists brought in as the work demands.
- ✓Structured progression: internal operations first, then client-facing delivery, then market differentiation.
Best fit for organizations that have identified AI as a priority but need a proven process and external expertise to move from interest to execution.
For development teams
AI-Lab: AI-driven SDLC
We embed with your dev team to stand up practices, tooling, and techniques that let them move at AI speed with high quality.
- ✓AI mapped across the whole lifecycle, from working out what to build through operating what shipped.
- ✓A spec-driven workflow with review gates your team runs itself.
- ✓Agent orchestration and build loops set up in your repositories and your CI.
- ✓Coding guidelines, architecture practices, and quality bars that hold as throughput rises.
- ✓Handover, so the practice keeps running after we leave.
Best fit for development teams already using AI tools for coding but want to add it systematically throughout the SDLC.
Why WynneTech
CTO-level judgment
25 years across enterprise SaaS, IoT, and data-intensive systems. Senior roles at Bosch/Azena, Armada Supply Chain, and the US Department of Energy.
Production from the first release
GridPulse.us, our energy analytics platform: zero to production in seven weeks, one engineer.
You own everything
Your infrastructure, your code, documented well enough to run without us.
Discovery before commitment
Every build engagement starts with paid discovery. We agree on what to build, why it matters, and what success looks like before code gets written.
Let's talk.
Tell me what you're building. I'll tell you if it's a fit.
Direct response within 24 hours.