We build every kind of software with AI.
Web, mobile, APIs, agents and automation. AI does the heavy lifting, senior engineers steer every decision, and you get production-grade software faster than a traditional team can plan it.
- ✓Spec reviewed and signed offengineer
- ✓Architecture and stack designedengineer + AI
- ✓Database and API generatedAI
- ✓Screens and flows builtAI
- ✓Tests written and passingAI
- ✓Reviewed, deployed, liveengineer
Get a production-ready MVP in 2 weeks.
Go from idea to a live, tested product that your first users can actually use. Fixed scope, weekly demos, and you own every line of code.
Timelines depend on scope. We confirm the plan, scope and price after a short discovery call.
Speed from AI. Judgement from people.
Most AI-built software fails in the details nobody reviewed. We pair AI agents with experienced engineers so what ships is fast, clean and trustworthy.
Engineer-led, AI-accelerated
Every project is run by a senior engineer who defines the architecture, directs the AI agents and reviews every change. You get the speed of automation without the "prompt and pray" risk.
- Architecture reviewed before a single file is generated
- AI output audited at every stage, never rubber-stamped
- Security and edge cases owned by people, not models
You own everything
Source code, repositories, infrastructure and documentation are yours. No lock-in, and any team can take over tomorrow.
Production-grade by default
Automated tests, CI/CD pipelines, environments and monitoring come with every project, not as extras.
Radically transparent
A shared repository, weekly demos and clear scope. You see real progress, not status slides.
Built to be maintained
Clean structure and documentation so your own engineers can read, extend and trust the code.
Where AI ends and engineers begin
A clear split of responsibility is what makes AI-built software reliable.
Human
- Requirements and product spec
- Architecture and technology decisions
- Code review and audit
- Security, privacy and edge cases
- Trade-offs and prioritisation
- Quality sign-off before release
AI agents
- Code generation across the full stack
- Test suites and fixtures
- Boilerplate, config and integrations
- Documentation and API clients
- Refactors and migrations at scale
- Iteration speed on every feature
The result: production-grade software, delivered faster than any traditional team.
From idea to production in four steps
A lean, AI-orchestrated workflow with a human sign-off at every decision point.
Discovery and spec
You describe your vision in plain language. We extract requirements, flag edge cases and write a technical spec you review and sign off.
AI architecture
We design the system, choose the stack, scaffold the project and set up CI/CD, all from the approved spec.
Autonomous build
AI agents generate components, endpoints, schemas, tests and config. Engineers review each change and steer edge cases.
Ship and iterate
We deploy to your cloud, monitor performance and keep iterating. New feature requests take hours, not weeks.
Engagements that fit how you work
Whether you have a clear brief or only an idea, there is a simple way to start.
Fixed-scope build
A defined product or feature with a clear scope, price and timeline. Ideal for MVPs, new modules and launches.
Dedicated AI squad
An engineer-led, AI-powered team that works as an extension of yours on a monthly basis, shipping continuously.
Advisory and audit
We review your architecture, codebase or AI plans and hand you a prioritised roadmap you can act on.
The right tool for every layer
We are not tied to one vendor or framework. We pick the best AI model and the most proven technology for each part of your product, and we build on tools that your team can hire for and maintain.
Everything is containerised, tested and deployed through CI/CD to the cloud of your choice.
Built end to end by AI agents
A real product, shipped to both app stores.
CoachCraft: AI sales training app
A mobile sales training platform that uses AI-powered voice roleplays to help people practise and improve their sales skills, shipped on iOS and Android.
The challenge
Build a cross-platform app with AI voice roleplay, real-time performance scoring, personalised learning pathways, subscription paywalls and a full onboarding flow, all production-ready for store submission.
What we built
AI agents generated the full Flutter codebase: an AI coach chat, voice roleplay with instant feedback and scoring, structured learning pathways, a subscription paywall, remote-config feature flags and a personalised onboarding flow.
Questions we hear a lot
What does Wixora Technologies do?
Wixora Technologies Private Limited builds every kind of software with AI, including web apps, mobile apps, APIs, AI agents and workflow automation, with senior engineers directing the work. We also run our own products, Kanz Vault and MakeMyJewelleryApp.
What is the 2-week MVP?
A focused, production-ready first version of your product delivered in about two weeks: scope locked in days 1 to 2, core features built, then testing and hardening, then deployment with documentation. Exact timelines depend on scope and are confirmed after a short discovery call.
Is AI-generated code really production-grade?
Yes, when it is directed and reviewed properly. Our engineers define the architecture and review every change, and every project ships with automated tests, CI/CD and documentation. AI writes the volume; people own the decisions.
Who owns the code and the infrastructure?
You do. You receive the source code, repositories, infrastructure and documentation, with no lock-in. Any competent team can take the project over.
How fast can you deliver?
Much faster than traditional development. A focused, production-ready MVP can be live in two weeks, and most feature requests after launch take hours or days. We confirm the timeline in a proposal after a short discovery call.
How do you keep our data and IP safe?
We sign an NDA on request, keep secrets out of repositories, use least-privilege access and review security-sensitive code by hand. We can also choose AI tooling that is configured so your code and data are not used to train models.
Which technologies do you use?
Whatever fits the problem. Our usual stack includes Flutter, React and Next.js, Node.js, NestJS and Java, Python, PostgreSQL, MySQL and MongoDB, but we are not tied to any one vendor.
How does pricing work?
After discovery we propose a fixed scope and price, or a monthly engagement for ongoing work. Book a consultation and we will send you an estimate.
Your product, live in two weeks.
Book a free discovery call. Tell us what you want to build and we'll show you how fast we can ship it.
Book a free consultation