AI Products & MVPs
- LLM apps and MVPs
- Frontend, backend and LLM layer
- Evaluation built in
- Deployed, not a demo
We build AI that actually ships.
From prototype to production
Have an AI idea worth shipping?
Have a repetitive workflow, an AI product idea or an existing app that needs useful AI features? We help you decide what to build, then ship the first working version.
Taking on new projects · reply within 24 hours
Built with
- React
- LangGraph
- LangChain
- Claude
- Supabase
- PostgreSQL
- Rust
- MediaPipe
- Kubernetes
- GitHub
- Vite
- JavaScript
What we do
What we build.
AI Agents
- Tool and API calling
- LangGraph orchestration
- Guardrails and fallbacks
- Human handoff and audit logs
AI Automation
- Email and document flows
- Classify, summarise, route
- CRM and tool integrations
- People kept in the loop
AI Features in Your App
- RAG search
- Assistants and summaries
- Speech and vision
- No rewrite needed
Products & client work
What we have shipped.
Our own AI products and the platforms we build for clients, each labelled with exactly where it stands.
ClientLive01 / 04
Web × Healthcare Operations
Kanpur Dental Laboratory
Digitizing 20 years of ISO 9001 precision dental manufacturing into a unified B2B provider ordering portal and consumer specialist booking engine.
- Operational history
- 20+ years
- Delivery time
- 7–8 days
- Verified client review
- 5.0 ★
www.kanpurdentallab.com
Our productPublic beta02 / 04
AI × Speech & Vision Coaching
VakSutra AI
An AI speaking coach that watches and listens like a human coach would — then shows you, in your own words, exactly what to fix.
- Per practice answer
- 2 min
- Areas scored
- 4
- During public beta
- Free
www.vaksutra-ai.me
Our productLive demo03 / 04
AI × Finance
SEC RAG Engine
An advanced Hybrid RAG system over SEC 10-K filings for 33 semiconductor companies, featuring LLM query analysis and cross-encoder reranking.
- Companies Indexed
- 33
- Retrieval Stages
- 3
- Query Latency
- < 2s
sec-filings-rag-engine.vercel.app
Our productArchitecture demo04 / 04
AI × Developer Tools
AI Prompt Compiler
A deterministic 8-stage compilation engine and multi-agent LangGraph pipeline that compiles ambiguous natural language intent into structured, production-grade prompts.
- Compiler stages
- 8
- Compilation latency
- < 4s
- Orchestration
- LangGraph
cognifysystems.in/work/prompt-compiler
How we work
Our process.
- 01
Call
A short call to understand what you want to build, who it is for, and what a good first version looks like. If AI is not the right tool for the job, we will tell you.
- 02
Plan
We write down the scope, the architecture, the milestones and what 'done' means for the first release, so you know exactly what you are getting and when.
- 03
Build
We build in short cycles and show you working software every week. You see progress early, give feedback, and nothing big surprises you at the end.
- 04
Launch & support
We deploy, hand over the code and documentation, and stay available after launch to fix issues and plan the next version with you.
Stack explorer
Our tech stack.
The tools we reach for, and the wider set we are comfortable shipping with when your project already runs on them.
Frontend
Interfaces your users touch.
- Next.js
- React
- TypeScript
- Tailwind CSS
- React Native
- Vue
- Svelte
- Framer Motion
Backend
APIs, jobs and integrations.
- FastAPI
- Node.js
- Python
- Express
- Django
- Go
- GraphQL
- Celery
AI
Models, orchestration, speech, vision.
- LangGraph
- LangChain
- Whisper
- MediaPipe
- OpenAI
- Anthropic Claude
- Gemini
- LlamaIndex
- Hugging Face
- PyTorch
Data
Storage, auth, vectors, records.
- Supabase
- PostgreSQL
- pgvector
- Redis
- MongoDB
- Pinecone
- Qdrant
- Firebase
Deploy
Hosting and infrastructure.
- Vercel
- Render
- AWS
- Docker
- Google Cloud
- Cloudflare
- GitHub Actions
- Railway
Our everyday stackAlso comfortable with
FAQ
Questions we get asked.
Short answers to what people ask before a first call. See all questions
CognifySystems is an applied-AI engineering team in Noida, India. We build AI products, agents and automations for startups and growing businesses, and we add AI features to software that already exists.
It depends on scope, and we agree a timeline in writing before we start. For reference, our client platform for Kanpur Dental Laboratory went from first discussion to live in 7–8 days.
Every project is scoped individually — we don't use hourly rates or template pricing. After a discovery call we send a fixed-scope proposal with a clear price, timeline and deliverables. Most of our AI product builds range from a focused MVP to a production-grade platform. Contact us with your idea and we'll reply within 24 hours with a rough scope.
Yes — that is one of our four core services. We integrate RAG-powered search, AI assistants, document summarisation, speech analysis and computer vision into apps that already run. We work with your existing codebase and deploy without rebuilding what already works.
Yes. VakSutra AI, our AI speaking coach, is in public beta, the SEC RAG Engine is live as a demo, and AI Prompt Compiler is an architecture demo. Building our own products keeps us close to the real problems of shipping AI: cost, latency, reliability and honest output.
Send us a message through the contact form or email us with what you want to build. We reply within 24 hours with questions or a first outline of scope and approach.
Get in touch
Tell us what you want to build.
A few lines are enough. We reply within 24 hours with questions or a first outline of scope and approach.
- 01Scope outline and recommended approach
- 02Rough delivery timeline
- 03An honest view on whether AI fits the problem