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Real products behind iMeta's engineering practice.

A closer look at platforms where product strategy, architecture and execution come together across payments, gaming and intelligent systems.

KiwiPayment checkout showing card, bank transfer, cryptocurrency and Cash App payment methods

KiwiPayment

A fintech product shaped around payment workflows, platform reliability and clear operational control.

Payments Wallets Platform engineering
View case study
Betbita live lottery game interface with gold, silver and bronze bonuses

Betbita

A gaming and betting platform focused on account flows, live interactions and dependable transaction handling.

Betting systems Gaming Real-time flows
View case study
Problys prediction market intelligence platform homepage

Problys

An intelligent product experience built around structured data flows, prediction workflows and usable decision support.

AI systems Prediction workflows Data products
View case study

Engineering process

From product clarity to supported releases.

iMeta treats delivery as an engineering cycle: define the product, design the system, build in controlled increments, then keep improving it after it reaches users.

  1. 01

    Product discovery

    Clarify the business model, user roles, transaction flows, regulatory needs and launch priorities before committing to the build.

  2. 02

    Architecture and technical planning

    Map the platform structure, integrations, data model, security boundaries and delivery milestones.

  3. 03

    UI/UX and prototyping

    Shape the product screens around real workflows so founders, operators and users can validate the experience early.

  4. 04

    Iterative development

    Build the platform in practical releases, with working features reviewed as they become ready instead of waiting for a single handover.

  5. 05

    Testing and security review

    Check core flows, edge cases, integrations, access controls and transaction-sensitive areas before production release.

  6. 06

    Deployment

    Prepare the production environment, release the approved build and verify the platform under live operating conditions.

  7. 07

    Monitoring and ongoing support

    Continue improving stability, performance, security and product behaviour after launch instead of simply handing over code.

After launch

Products keep moving once they are live.

Trading, payment, AI and gaming products need active care: monitoring, release planning, infrastructure updates, operational fixes and new feature cycles as usage grows.

Technology stack

Grouped technologies for real product delivery.

The stack is organised around the systems iMeta builds, so technical choices stay connected to product architecture, scale, security and long-term maintainability.

Frontend dashboard and responsive interface systems

Frontend

Interfaces for dashboards, trading screens, admin panels and customer-facing product flows.

React Next.js JavaScript HTML5 CSS3
Backend API services and platform architecture

Backend

APIs, service logic, authentication, transaction workflows and platform operations.

Node.js PHP Laravel REST APIs Webhooks
Mobile app product flows for wallets games and accounts

Mobile

Mobile-first products for wallets, games, payments, user accounts and field operations.

Flutter React Native Android iOS
Cloud DevOps pipelines monitoring and infrastructure systems

Cloud and DevOps

Deployment pipelines, cloud hosting, monitoring, release control and infrastructure support.

AWS Docker CI/CD Nginx Linux
Blockchain wallet smart contract and token workflow systems

Blockchain

Smart contracts, wallet integrations, token flows, dApps and digital-asset platform logic.

Solidity Ethereum Web3.js WalletConnect Smart contracts
AI data pipelines analytics and automation workflow systems

AI and data

Data pipelines, AI-assisted workflows, automation systems and prediction-focused products.

Python OpenAI LLM workflows Vector search Analytics
Gaming platform real-time multiplayer and live operations systems

Gaming

Game systems, real-time interactions, casino mechanics, multiplayer flows and live operations.

Unity Unreal Engine WebGL Multiplayer Game economy
Databases message queues and background processing systems

Databases and queues

Reliable storage and background processing for products with financial, gaming and AI workloads.

MySQL PostgreSQL MongoDB Redis Message queues
Devanshu Joshi, Founder and CEO of iMeta
Devanshu Joshi Founder/CEO

Founder's vision

Building iMeta for the products shaping what comes next.

My vision for iMeta is to build an engineering company that ambitious founders can trust with their most complex ideas from the first product decision to systems operating at scale.

We are creating a team where deep technology, commercial understanding and long-term ownership come together, so every platform we deliver is not only innovative, but secure, useful and built to endure.

Devanshu Joshi Founder/CEO, iMeta Technologies

BLOGS

Client voices

Client Testimonial

What product teams value about building and scaling their platforms with iMeta Tech.

REWARDS AND RECOGNITIONS

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itrate

Project enquiry

Tell us what you are building.

Share the product, stage and commercial context. The iMeta team will review the details and respond with the most relevant next step.

AI systems Fintech platforms Trading products Blockchain builds Gaming and betting