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Analyzik Labs

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AboutAnalyzik Labs.

[ 05 / The studio ]

Background / process / technology

Introduction

Analyzik Labs is an AI company. We build AI products and help organisations use AI in their daily work.

01AI products
Zimi, an AI explainer that gives exam-ready answers and teaches topics as animated lessons in multiple languages.
02AI and automation
We find where AI fits in your work, integrate it, and automate repetitive tasks.
03Software development
We build the web and mobile apps these systems run on, such as the NIT Rourkela hall management platform.
A

Engineering philosophy

01Useful before impressive

We use AI only where it measurably improves a task, and we tell you when a simpler solution would serve you better.

02Human oversight by design

AI output can always be reviewed, automated actions are logged, and every decision has a clear path to a person.

03Responsible use of data

We collect only the data a system needs, protect it in transit and at rest, and never train models on client data without written consent.

04Built to be maintained

Clear code, automated tests and accurate documentation, so your team can run and extend the system long after launch.

B

Research and experimentation

Our research focuses on AI for education: producing structured, exam-ready answers and teaching topics through motion graphics in a student's own language. We test ideas in small, measured experiments, and the findings feed directly into Zimi.

01Define the question
Each experiment starts with a specific question and a measure of success agreed in advance.
02Prototype quickly
We build the smallest version that can answer the question, using real data wherever possible.
03Decide on evidence
Results decide whether an idea moves into a product, is refined, or is stopped. We report what did not work as openly as what did.
C

Development process

  1. Stage 01

    Discovery

    We meet the people who will use the system, review current workflows and data, and define the problem in measurable terms.

  2. Stage 02

    Specification

    A written scope sets out deliverables, exclusions, timeline and acceptance criteria. Work begins once you approve it.

  3. Stage 03

    Iterative delivery

    We ship working software in short cycles and review each one with you, so priorities can change early rather than late.

  4. Stage 04

    Quality and security

    Every release is code-reviewed and tested for security, accessibility and failure scenarios before it reaches users.

  5. Stage 05

    Launch and support

    We deploy, monitor and document the system, transfer full ownership of the code, and remain available for support.

D

Technology

AI

Large language model integration, retrieval-augmented generation, vector search, prompt and output evaluation

Languages / Python, TypeScript

Web

Next.js, React, Tailwind CSS, server-side rendering, accessible UI

Languages / TypeScript, JavaScript, HTML, CSS

Mobile

Flutter, React Native (Expo), offline-first data sync, native Android and iOS integrations

Languages / Dart, TypeScript, Kotlin, Swift

Backend

Node.js, NestJS, Django, REST and real-time APIs, role-based access control

Languages / TypeScript, Python

Data

PostgreSQL, SQLite, Prisma ORM, schema migrations, Excel and PDF reporting

Languages / SQL

Delivery

Docker, CI/CD pipelines, Linux servers, cloud hosting, monitoring and audit logging

Languages / Bash, YAML

Services: AI Products · AI Automation · Software Engineering

E / Collaboration

Working with us

You work directly with the engineers building your system. We agree the scope in writing, show you working software at regular intervals, and transfer ownership of the code and documentation at handover.

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