Investment, logistics, commerce, tax, healthcare, HR, content — no matter the industry, we don't rebuild the system from scratch for every case. Dawell Service FDE assembles a shared skeleton (standarda-template) and proven components (standarda-core) with dev automation tools, then ships them to the server infrastructure (the garage). That's how an AX cycle that once took months now takes 1–2 weeks.
Auth, permissions, LLM integration, document parsing, deployment, backups — every project needs them. Building them anew each time is slow, and quality drifts from project to project.
pip and LLM/API support is instantly wiredWe don't carve each car whole from scratch. We assemble proven parts onto a proven skeleton, and roll it out of a well-equipped garage.
A shared Django skeleton — auth, permissions, utilities, and tests already wired into the frame.
A bundle of proven shared components — LLM integration, Google APIs, document parsing.
An automation agent built by assembling skeleton + parts, cutting real work for the customer.
A workshop that has everything from dev server setup to domains, HTTPS, and backups, so the car we build ships (deploys) right on the spot.
Four systems (skeleton · parts · tools · garage), plus the education that gets the whole team using that foundation equally well. Click any item for the details.
The shared Django skeleton every project rides on. With auth, permissions, utilities, and tests already in place, you focus on business logic from day one.
Details →Proven shared components — LLM integration, Google APIs, document parsing — plugged in via pip. Add it in one place and every project uses it instantly.
Project creation → server setup → feature development → deploy, all connected by a few commands in an AI-native development flow.
Details →A multi-tenant architecture running many projects independently on one server + automatic domains, HTTPS, and 3-layer backups.
Details →Hands-on training that gets the whole team using this foundation equally well. 30 minutes a day with progress tracking to level up dev skills across the board.
Details →The four systems aren't parts working in isolation — they mesh into a single cycle. Lessons from operations feed back to improve the skeleton and parts.
No rewriting auth, integrations, and deployment every time — discovery through deploy compresses to 1–2 weeks.
Add a feature to the components (core) once and every project can use it instantly.
Every case shares the same structure, so when the assigned FDE changes, they understand and take over another project immediately.
Running on a proven skeleton and parts with 3-layer backups, customer services stay safely up around the clock.
AI generates code against unified conventions, so quality stays steady even across different projects.
With a single stack, onboarding is fast and lessons from operations spread across the whole foundation.