Questions we get asked.

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.

LLM-powered products and MVPs, AI agents that use tools and APIs, automations for documents, emails and support, and AI features such as search, assistants, summaries, speech and vision inside existing apps. We also build the websites, dashboards and backends these systems need.

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.

Call, plan, build, launch. After a first call we write down scope, architecture and milestones. During the build we show you working software every week, and after launch we hand over the code and documentation and stay available for fixes and next steps.

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.

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.

The stack depends on the problem, but our most common setup is Next.js or React on the frontend, FastAPI or Node.js on the backend, LangGraph or LangChain for agent orchestration, and Supabase or PostgreSQL for data. For speech and vision we use Whisper, MediaPipe and custom Rust extensions via PyO3. We deploy on Vercel, Render or AWS depending on latency and compliance needs.

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. We build agents that plan multi-step tasks, call tools and APIs, and hand off to people when they should. Our agents are built with clear guardrails, structured fallback logic and auditable logs. We typically use LangGraph for orchestration and add human-in-the-loop checkpoints for high-stakes decisions.

CognifySystems is based in Noida, India. We work with clients worldwide — most of our communication happens asynchronously over email and video calls. Time-zone overlap has not been an issue so far because we structure work around milestones, not meetings.

Use normal automation when the steps are fixed and predictable. Use an agent when the steps depend on messy input like emails, documents or open-ended requests, and the system has to decide which action fits. Many good systems combine both.

Founding AI engineers. There are no account managers in between — you talk directly to the people designing and writing your system.