Your AI-native architecture.
Live in 5 business days.
The core everything runs on: enterprise cloud, automated CI/CD, AI dev toolchain, mirrored staging + production. One flat fee. Fully yours, forever — whatever you build next.
Built in your accounts, documented for your team, and ready for a Wegile pod or your own engineers to ship from day 6.
Starting fresh, or built before AI?
Traditional equivalent: 3–4 weeks and $15,000–$30,000 before a single feature ships. Same depth here — the difference is the workflow, not the corners.
The products shipping fastest didn't start fresh. They rebuilt right.
Teams that built on the old pattern — manual deploys, siloed tooling, AI bolted on later — are losing velocity to teams who got the infrastructure right early. LaunchPad is that infrastructure decision, made once, compounding from day one.
AI pair-programming wired into your CI/CD on day 3 means every line of code after LaunchPad goes live is written faster than the one before.
OWASP-aligned defaults, automated vulnerability scanning, and access controls configured on day one — not retrofitted when a pen test flags them.
Every deploy is tested against a production-identical environment before it ships. Surprises compound when this is set up retroactively — LaunchPad makes it free to do right.
Monitoring, alerting, and dashboards live before the first deploy. You never chase a status update — the system reports itself in real time from day one.
Everything your team needs to ship.
AWS, GCP, or Azure — provisioned with IAM roles, secrets management, and compliance guardrails from hour one.
Intelligent build, test, and deploy automation with fully mirrored staging + production. Nothing reaches production untested.
Claude and Cursor wired into your repo workflow, LLM integrations configured, AI code review on every commit.
Jira (or Linear) workflows, automated ticketing, a seeded Confluence knowledge base, and Slack/Teams channels — the project's nervous system, connected.
Logging, alerting, and dashboards live before the first deploy — you watch the system, the system watches itself.
OWASP-aligned defaults, automated vulnerability scanning, access controls enforced from day one. High security is the floor, not an add-on.
Five days, day by day.
The ground is laid before a line is written.
Cloud accounts provisioned in your name, IAM roles and secrets management configured, compliance guardrails activated.
- AWS / GCP / Azure provisioned
- IAM & secrets
- compliance guardrails
The engine that drives your velocity.
CI/CD configured with intelligent build, test, and deploy automation. Staging and production established as true mirrors — nothing reaches production untested.
- CI/CD configured
- mirrored staging + prod
- AI code review on every commit
The AI-native advantage, activated.
Claude and Cursor integrated directly into your repo workflow. LLM integrations and automated testing frameworks configured — your environment becomes AI-native from day one.
- Claude & Cursor integrated
- LLM integrations
- automated testing live
The nervous system, connected.
Jira architecture workflows, automated ticket flows, team channels, and the real-time progress dashboard — so everyone sees the same truth.
- Jira / Linear workflows
- automated ticketing
- knowledge base seeded
- dashboard live
Handover, walkthrough, first commit.
Full documentation handed over — technical framework, code, and how-to docs. Your team (or your Wegile pod) ships real code on day 6.
- complete documentation
- team walkthrough
- day-6 first deploy
Straight answers, before the call.
Completely. The cloud accounts are opened in your name, the repos are yours, and the full documentation set — technical framework, code, and how-to docs — is handed over at delivery. If we never speak again, the foundation still works.
We build the modernized pipeline in parallel and migrate in controlled, reversible steps. Your production traffic never depends on an in-progress migration. Zero scheduled downtime.
We configure what you prefer — AWS/GCP/Azure, GitHub/GitLab, Jira/Linear, Slack/Teams. The architecture pattern is opinionated; the vendors are your choice.
No. Plenty of teams take LaunchPad and run with their own engineers — that's the point of owning it. Most add a pod because the same architects who built your core — 10-year average tenure at Wegile — ship fastest on it.
Deep technical-debt reduction on the codebase itself — beyond infrastructure — scoped after the audit. Typically $9,999–$19,999, fixed price once scoped, with defined deliverables.
Your cloud-provider bill is separate and goes directly to your account — we don't mark it up. For a typical early-stage startup on AWS, expect $50–$300/mo depending on traffic. We configure cost guardrails, budget alerts, and auto-scaling policies during LaunchPad so you're never surprised. Most clients find their cloud spend lower than expected because the infrastructure is sized right from the start.
Often, yes. LaunchPad Elite includes a review of infrastructure usage, scaling rules, logs, databases, storage, deployment patterns, and monitoring. We identify waste and recommend safer, leaner architecture decisions without compromising reliability. For new products, LaunchPad sets cost guardrails early. For existing products, it helps expose over-provisioned services, noisy logs, unused resources, inefficient scaling rules, and deployment patterns that increase cost without improving reliability.
LaunchPad is the foundation. Your pod is next.
5 business days (Pro) or 10–15 (Elite). The core is yours, documented, forever.
From one Dedicated Architect at $4,500/mo to a Custom Pod — meet the pods →
Daily staging deploys through the AI governance pipeline, visible on your dashboard.
Stop building infrastructure. Start building product.
One call, 30 minutes, an architect on the line. Response within 24 hours. After the architecture call, your LaunchPad plan — Pro or Elite — arrives within 4 business hours.