Your developers.
Every day. No sprints.
A dedicated pod of senior architects — averaging 10 years at Wegile — working only on your product, shipping to staging daily through the AI governance pipeline. Not a vendor. Your team. Built for new products, live platforms, modernization, AI features, and long-term product evolution.
One pod. Six things you can point it at.
A pod isn't a fixed service — it's senior capacity you direct. These are the engagements our pods run most.
From discovery to production: architecture, design, development, QA, and deployment for a complete product.
InterdisciplinaryLLM features, RAG pipelines, agentic workflows, AI SDRs and omnichannel — production AI, no research theatre.
InterdisciplinaryAudit, re-architect, and migrate existing systems to AI-native infrastructure — without downtime.
Domain-specificBA-led scoping: user flows, requirements, API mapping, documented roadmaps before a line is written.
Domain-specificLong-term ownership of live products: ongoing releases, enhancements, AI upgrades, and 24/7 production support. See the full MPE plans →
Domain-specificLearn more →Intelligent test generation, regression coverage, API and release testing — quality as a system, not a phase.
Domain-specificYou are buying product continuity.
The difference between a pod and a team of freelancers isn't the number of people — it's what they leave behind. Every Wegile pod builds your product as if they'll own it for a decade. Because many of them do.
A pod that understands the full system makes better decisions at every layer. Architects who've lived through every architectural choice don't repeat the mistakes — they build on the hard-won lessons.
Technical framework, code, API references, and how-to docs — updated with every change, handed over throughout. Your product's knowledge doesn't live in anyone's head. It lives in the docs.
Whether you're scaling up, bringing work in-house, or changing scope — a pod's documentation and codebase health mean any competent engineer can take over without starting from scratch.
Our engagement model is structured around your product, not a project with an end date. That changes how architects think, prioritize, and build — they treat it like their own because they'll still be here for it.
The product launched. Now it needs to keep growing.
After your product launches, it enters a second phase — one most agencies aren't built for. Features slow down. Bugs compound. AI upgrades get deprioritized. A Wegile MPE pod owns your production system end to end: ongoing releases, enhancements, AI upgrades, security patches, performance, and monitoring. You retain full architectural governance without carrying a full-time team.
New functionality on a weekly or bi-weekly cadence — shipped to staging, reviewed, and deployed. Your product keeps moving without you managing a team.
LLM feature updates, RAG pipeline tuning, and new AI capabilities integrated into your live product — model upgrades included. Your product doesn't age out of AI.
Dependencies kept current. Vulnerabilities patched before they're exploited. No security debt accumulating while you're focused on the roadmap.
Observability configured, alerts tuned, and incident response from the same architects who built the system — not a generic support desk following a runbook.
Care
Growth
Scale
Four sizes. Real people, named on your proposal.
Compositions below; full feature lists and the comparison matrix live on the pricing page. Every architect: 10+ years' experience, averaging 10 years at Wegile, 8 dedicated hours a day.
Dedicated Architect
Duo Pod
Team Pod
Custom Pod
The numbers a pod changes.
Freelancers vs. agency
vs. a Wegile pod.
| Freelancers | Traditional agency | Wegile pod | |
|---|---|---|---|
| Who does the work | Variable — you vet, you hope | Rotating teams, often junior | Named senior architects, 10-yr avg tenure |
| Continuity | Ends when they move on | 2–3 yr churn, context resets | <5% attrition — context compounds |
| Delivery rhythm | Whenever | 2-week sprints | Daily staging deploys |
| Quality control | Yours to manage | Manual review, varies | Six-gate AI governance pipeline |
| Management load | High — you're the PM | Layers of PMs, billed to you | Zero — pod lead included |
| Cost shape | Hourly, drifts | Quotes, change orders | Fixed monthly, in plain sight |
| Scaling | Re-hire, re-vet, re-ramp | Weeks per added head | Add architects to the same pod |
| Documentation | If you insist | Often a deliverable extra | Technical, code & how-to docs — standard |
Every pod runs on LaunchPad.
Your AI-native core — cloud, CI/CD, AI tooling, mirrored environments — live in 5 business days. Pro for new products, Elite for existing ones. Included at Team tier and above.
Find your plan in 60 seconds.
Two questions on the pricing page recommend your exact path — LaunchPad door, pod size, or fixed scope.
Your pod, named and ready, in 5 business days.
Response within 24 hours. After the architecture call, your named pod recommendation, architect tenure, and day-one delivery plan arrive within 4 business hours.