AI software delivery platform
Requirements in.
Production-grade delivery out.
AI Studio runs an eight-stage governed lifecycle on top of an AI and knowledge backbone — and exposes it as sixteen working studios that generate documents, screens, services, tests, migrations, automations, dashboards and reports you can ship.
- 18
- Generative studios
- 10
- Governed SDLC stages
- 100%
- Runs logged & auditable
The eight-stage lifecycle
Each stage produces reviewable artifacts. Nothing advances without a human approval.
- 01
Concept & Requirements
Capture the concept in natural language or upload the source BRD, specs and standards.
- 02
BRD — Business Requirements
Business context, scope, process flows, business rules, KPIs and acceptance criteria.
- 03
HLD — High Level Design
Solution architecture, components, integrations, data flows and non-functional design.
- 04
LLD — Low Level Design
Class/module design, API contracts, data model, sequence detail and error handling.
- 05
Design / Mockup Screens
Screen specifications plus reviewable HTML mockups of every key screen.
- 06
Code Development
Generate the multi-file application code from the approved designs and mockups.
- 07
Test Cases & Testing
Test strategy, test case table, execution results and automation stubs.
- 08
Verification & Approval
Reviewer verifies the tested application and signs it off for deployment.
- 09
Code Deployment
Pipelines, environment configuration, observability, rollback and go-live checklist.
- 10
Knowledge Feedback
Feed learnings and approved artifacts back into the knowledge base.
AI & knowledge backbone
Model library
Curated frontier and fast models routed per task, with reasoning surfaced where it matters.
Knowledge & vector store
Standards, patterns and prior artifacts retrieved as grounding context for every run.
Specialist agents
Architecture, UI, backend, data, QA and DevOps agents cooperating on one delivery plan.
Governance layer
Row-level tenancy, role tables, run logs and human approval gates at every stage.
Sixteen working studios
Every card below is a live generator, not a brochure. Sign in and run it.
Technical Documents Generator
BRD, HLD, LLD, SRS and API specifications from requirements.
UI Screens Generator
Screen specs plus production React + Tailwind code.
Test Cases Generator
Functional, negative and edge test cases with automation stubs.
Integrator
Integration design, field mapping and connector code.
App Developer
Full multi-file application scaffolds from a feature brief.
Enhancemate
Enhancement plan plus patched code for existing systems.
Data Migrator
Mapping, transformation scripts and validation strategy.
Chatbot Generator
Bot persona, prompt pack and a live test conversation.
Database Schema Generator
Normalised tables, DDL, ER diagram and seed data.
Observability Enabler
Logging, metrics, tracing, SLOs and alert configuration.
Microservices Generator
Service decomposition, contracts and per-service scaffolds.
Robotic Process Automator
Scheduled agents and RPA flows with step-level definitions.
App Analyzer / Converter
Analyse legacy applications and convert them to a target stack.
Utilities Generator
Excel analysis, reconciliation and one-off utility scripts.
Reports Generator — Prompt-To-Plot
Turn data and a question into charts, insights and a report.
Technical Helper
Feasibility, how-to, technology choice and impact analysis.
Workflow Builder (NLP → Canvas)
Describe an automation in plain English, then edit it on a visual canvas.
Change Management
Raise a change on a live application: impact analysis, options, tests, code update, approvals, UAT then production with versioning.
Start with one requirement
Paste a requirement and watch the platform produce the documents, schema, services, screens, tests and dashboards around it.