Phase 1 · Week 0–1
Strategy and architecture
Before any build, we check what’s feasible, model the database and lock the one core workflow the MVP must do well.
Feasibility review
Database schema modelling
One core workflow, locked
AI MVP · 30 days
From concept to a production AI MVP in 30 days.
Fixed scope, senior engineers, and 100% of the code and IP yours from day one. Backed by architecture before the build, and deployment and growth after launch.
From $1,000. Detailed pricing on the call.
AI SaaSInternal toolAgent or copilotWorkflow automation
Trusted by teams across six industries
(01) How we deliver
With you from the first sketch to the first customers.
The 30-day sprint is the middle phase. Architecture comes first, and operations and growth carry on after launch.
Phase 2 · 30 days
The production sprint
A full-stack build with evaluation benchmarks and guardrails, payment checkout, and a staging environment you can test in.
Full-stack build
Evaluation benchmarks
Guardrails
Payment checkout
Staging environment
Phase 3 · After launch
Growth and operations
We keep the AI running and evaluated, keep cloud costs in check, then move into performance marketing to bring in users.
AI operations
Model evaluations
Cloud cost management
Performance marketing
(02) Stack
The tools we run in production.
The stack we build on. The repository is yours from day one.
- OpenAI
- Anthropic
- Python FastAPI
- pgvector
- LangChain
- Hugging Face
- Pinecone
- n8n
- WhatsApp Business
- TypeScript
- Next.js
- Vue
- Nuxt
- Node.js
- React Native
- Flutter
- Swift
- Kotlin
- PostgreSQL
- MySQL
- MongoDB
- Redis
- Docker
- Stripe
- Razorpay
- PayU
- PhonePe
- Google Ads
- Meta
- Google Analytics 4
- Google Tag Manager
- Search Console
(03) Engineered vs prototype
A demo isn’t a product.
Prompt-only prototypes look finished until real users, real data and the first odd input arrive. Ours are typed and audited before launch.
| Aspect | Legit build Engineered build | Prototype or prompt-only build |
|---|---|---|
| Code | Typed end to end | Untyped glue code |
| Access | Authentication built in | Open endpoints or one shared password |
| Quality | Evaluation benchmarks before launch | Checked by trying a few prompts |
| Pipelines | Deterministic LLM pipelines with guardrails | Whatever the model returns goes through |
| Edge cases | Audited for edge cases before launch | Breaks on the first odd input |
| Security | Audited for security before launch | Fails on basics, like API keys in the browser |
| Ownership | Your repository from day one | Locked inside a builder platform |
| Releases | Staging first, then production | One environment, edited live |
(04) Scope
What 30 days covers.
A fixed scope is how we hold the date. Anything outside it can be quoted separately.
Included in the 30 days
8 itemsIn scope
- One core workflow
- Deterministic LLM pipelines
- Evaluation benchmarks
- Authentication
- Database
- Payment integration (Stripe, Razorpay and others)
- Repository access from day one
- 30-day bug warranty
Out of scope
- Multi-tenant enterprise permission layers
- Training foundation models from scratch
- Native mobile apps
Need one of these? We’ll quote it on the call. Book the call
(05) Book a call
Tell us what you’re building.
Four quick questions, then pick a time for a 20-minute technical scoping call.
Step 1 of 5