Launch Your AI Product In Weeks, Not Months
Stop waiting for your product to be built. Our AI-native development team delivers MVPs in 6–8 weeks using modern frameworks, AI integrations, and proven sprint methodologies.
Real Business Impact
Business Challenges We Solve
Slow Time to Market
✗ Traditional development takes 6–18 months to reach a working product
✓ AI-accelerated development delivers a working MVP in 6–8 weeks
High Development Costs
✗ Building a software product requires a large technical team and budget
✓ 60% cost reduction through AI-assisted development and efficient sprint methodology
No AI Expertise In-House
✗ You have the product idea but lack AI/ML engineering capability
✓ Our AI-native engineering team handles architecture, training, and integration
Technical Debt from Speed
✗ Fast development often creates messy code that's hard to maintain
✓ Clean, documented, scalable architecture built for future growth from day one
Our Solutions
Custom-built AI capabilities crafted around how your team actually works.
AI MVP Development
Validate your AI startup idea with a functional MVP in 4-8 weeks.
- Rapid prototyping
- Core AI features
- User testing ready
- Investor demos
AI SaaS Platforms
Build full-scale AI SaaS products with subscription, billing, and multi-tenancy.
- Multi-tenant architecture
- Subscription billing
- Admin dashboards
- Analytics built-in
AI App Development
Native AI mobile apps for iOS and Android with intelligent features.
- Cross-platform
- On-device AI
- Push notifications
- App store ready
AI API & Backend
Custom AI APIs, microservices, and backend systems for any product.
- LLM integration
- Vector databases
- Auth systems
- Cloud-native
AI Prototyping Sprints
2-week sprints to validate AI feature feasibility before full investment.
- Feasibility testing
- Demo prototypes
- Technical reports
- Roadmap planning
Product Strategy & Architecture
CTO-level strategy and architecture for founders building AI products.
- Tech stack decisions
- Scalability planning
- Cost optimisation
- Team structuring
How We Deliver
Discover
Product requirements, user stories, and technical architecture design
Design
UX/UI design, database schema, and API specification
Sprint
Two-week development sprints with demo and review cycles
Test
QA, security testing, performance benchmarking
Launch
Production deployment, monitoring setup, and handover documentation
Real-World Use Cases
Funded Startups
Investor-ready MVP with AI features built fast and lean
SME Digitalisation
Custom internal tools and automation products replacing manual processes
Agency White-label
Build AI-powered tools for your clients under your own brand
Enterprise Ventures
Corporate innovation labs spinning out new AI products quickly
Frequently Asked Questions
Who owns the code and IP?
You own 100% of the code, IP, and any AI models trained on your data. Full ownership is transferred via a formal IP assignment agreement at project completion.
What tech stack do you build on?
We primarily build with Python/FastAPI (backend), React/Next.js (frontend), PostgreSQL/MongoDB (database), and deploy on AWS, GCP, or Azure. We can adapt to your preferred stack.
Do you continue development after MVP launch?
Yes. We offer ongoing development retainers for post-launch feature development, bug fixes, and scaling. Many clients transition into a dedicated product squad model.
Can you build on my existing codebase?
Yes. We conduct a code audit first, then integrate new AI features or rebuild problematic areas. We don't require starting from scratch unless the existing code is unsalvageable.
How do you ensure quality in a fast timeline?
Every sprint includes automated testing, code review, and a demo to stakeholders. We maintain comprehensive test coverage and document everything so future teams can maintain the product.
Ready to Launch Your AI Product?
Book a free technical discovery session and get a rough scope and timeline estimate
Book Technical Discovery