How your brief becomes production software.
Enterprise AI-agentic software delivery, across your SDLC. AI-agentic teams and senior Tmob experts take your brief from scope to production — signed off at every release gate, and owned by you. Any size, any starting point: from a single feature to a full end-to-end platform, greenfield or existing.
AI StudioProjectPROJECT⌄
- AI Chat
- Notifications28
- Tasks
Module M5 (Store Locator) requires complete and accurate store master data — store name and code, full address, coordinates, working hours and contact details for all 240 stores.
0ad24b0b-3d21-47f1-a554-66109f9317c2text/csvQuestionCriticalTextApprovedPurchase History AvailabilityREQ-05 requires campaigns to be personalised on purchase history. Define where that data resides, how it can be accessed and any consent constraints on using it for profiling.
Stored in our data warehouse at product level for 24 months.answeredSix stages. One continuous loop.
Same loop, any size — from a single feature to a full end-to-end platform. You send the brief, you give feedback, the loop does the rest.
1
Onboarding — brief in, tasks out.
Send your RFP or brief. A dedicated Producer guides you alongside the AI PM to analyze requirements, surface risks, and set SLAs within 24 hours — automatically creating targeted tasks on a live board.
2
Design — your system, or ours.
Two ways in. Already have a design system? Connect it via MCP — Figma or otherwise — and the Design Engineer builds inside it. Starting from nothing? The Design Engineer benchmarks the strongest brands in your category and generates a full brand book, autonomously, for your approval.
3
Build — parallel engineering.
Design, Product, and Test Engineers build in parallel. The Design Engineer implements the approved system, the Product Engineer ships the feature, and the Test Engineer writes unit and integration tests alongside — so testing isn't a phase, it's a lane.
4
Test — continuous validation.
Automated test suites run unit, integration, and end-to-end checks on real devices. Agents fix their own build failures until every indicator turns green.
5
Feedback — rapid iteration.
Review the build component by component. Guided by the AI PM chat, your feedback is instantly expanded into actionable specs and auto-assigned as new agent tasks — delivering updated builds within a day.
6
Sign-off — human-approved, shipped.
Every release candidate is reviewed by Tmob AI Studio's expert leads for final sign-off before deploying directly to your environment.
AI StudioProjectPROJECT⌄
- AI Chat
- Notifications29
- Tasks
Module M4 requires category-based product listing, search, filtering and price display. Please provide the system of record and a sample export containing the category tree, product names and prices.
Drag a file or select one.xlsx, .csv, .zip · max 100 MBNFR-06 requires OWASP Top 10 coverage and encrypted communication. We would appreciate…
Source CodeQuestion Submission and Clarification ProcessThe RFP process timeline sets 14 August 2026 as the deadline for written questions, with…
UrgentProject Sponsor and Single Point of ContactYou are kindly requested to designate the project sponsor and a single point of contact…
Fast to build. Never on autopilot.
AI-agentic teams carry the volume 24/7 and fix their own failures inside the loop. You steer it as it runs — your feedback on the build becomes the next tasks. And a senior Tmob expert signs off before anything ships. Fast where it can be, controlled where it counts.
We build inside your stack, not around it.
We build inside the stack you already run — greenfield or existing — and deploy into your own cloud. Your data stays where it is.
Standard stack. Full ownership. No lock-in.
Everything we build is made to outlive the engagement — standard, portable, production-grade, and yours.
See your brief become a release.
Send it and get a scoped, costed plan back within 24 hours.