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Our goal is to provide you with the flexibility of an in-house team and act as your technical co-founder.. Our mission is to analyze your idea carefully and protect your budget. As a mark of quality, we offer lifelong support. and marketing assistance for every app we develop.

SOFTWARE SOLUTIONS FOR STARTUPS &amp; GROWING BUSINESSES

For our clients from clutch.co 10% off Get your discount

SMART TECH TEAM

Traditional outsourcing fails. Today, you need a CTO and the flexibility to bring new ideas, like with an in-house team. This is our mission, including lifelong support. for every system we develop.

MARKETING AND LEGAL

Selling products starts before development. As your tech partner, we provide full SEO and marketing. campaigns along with legal support, from App Store disputes to API negotiations.

BUDGET SAFETY

70% of the code you need already exists, and we utilize AI-based. templates to demonstrate it. It's always better to invest in other areas of your project than reinventing the wheel.

How do we solve it?

Damien Dalli

Damien Dalli // Founder of Heartstring AI

After talking with many different teams, I am very happy with my decision to hire CGS. Finding a web developer is no easy task, especially when you're just an individual, not a company, and have no idea where to start.

Ruth Brewer

Ruth Brewer // Founder of Steer to Success

From the very beginning their professionalism, organisation, and responsiveness have been second to none. The project managers, legal team and developers were absolutely amazing to work with. Their ability to communicate clearly and guide me through unfamiliar elements of the process  – has been invaluable. Thank you again, CGS, for making this vision a reality!

Paul 

Paul //  The founder of Xingit

Xingit is an AI platform which books sales meetings and engages in meaningful sales conversations with inbound leads. I've been working on my project with the CGS-team.  I've been really happy with the results. I highly recommend the team, they're hardworking, got a real "can do" attitude and I think you can't go too far wrong as a startup founder in giving CGS-

Max Wolfarth

Max Wolfrath // Dex-wallet

Working with CGS-team has been great, honestly, from the start. Because the way they scope and estimate projects is very transparent and very easy to navigate.

Daniel

Daniel // Founder and CEO of Nuance

Actually a few months I've been working with them and I can honestly say that it's been a great experience. It wasn't  just the development – it was also helping me understand all the legal terms. And  direct cooperation with the two founders which were both really supportive of my mission helping adults with ADHD.

Carlo Edoardo Ferraris

Carlo Edoardo Ferraris // Co-Founder, Rolling Square

We have been developing a communications platform with CGS-team. Their support has been great. They are very proactive. Their technical skills are wide. We look forward to working more along with CGS-team.

Psychonaut

Psychonaut // CEO, Co-founder of Looter.finance

We checked CGS-team’s code and it’s very well structured, so we can even reutilize it. I’m very satisfied with our collaboration and would recommend CGS-team if you’re looking for someone to build a website.

Edouard Grillon

Edouard Grillon // CEO of Linkup

From the outset, CGS impressed me with their
straightforward and concise approach. They were accurate about what they could delivered and set realistic expectations. The quality of project
delivered was very good. The app is not just functional, but also aesthetically pleasing
and provides a great user experience.

What do clients say

THE MOST SUCCESSFUL CASES

No Profit $

Maintenance Abandonment

Founder skill gap

Users don’t need it

Market competition

Endless development and bug-fix

why does it happen?

94% of apps fail

TURN IDEAS INTO STARTUPS

Level up your project

Our team covers everything from clarifying your concept and making estimations to design, testing, and support.

All work

Algolia

Algorand

Angular

Apollo client

Azure Cognitive Services

Azure DevOps

Bitrise_Fastlane

Blockchain

Bootstrap

Cairo

Challonge API

Crypto

Bitrise

Cardano

DeepStream

DeFi

Django

Docker

DymanoDB

Elasticsearch

ETH Network

Express.js

Facebook

Fastlane

Firebase

Flutter Dart

Gatsby

Go Golang

Google Cloud Platforms

Google Map API

Google

GraphQL

Hedera

i18next

Java

JavaScript

Kafka

Koa.js

Kotlin

LearnCube

Linkedin API

MobX

MongoDB

MySQL

Near

Nest.js

Next.js

Node Cron

Node.js

Nuxt

Optimizely

PostgreSQL

Python

React Flow

React Hook Form

React Native

React Query

React

React Angular

Redux persist

Redux

Redux-Saga

Rest API

Scanbot SDK

Shopify

Smart contracts

Social media AUTH

Solana

Solana Rust

Solidity

Strapi

Stripe

Styled components

Swift

Tailwind CSS

Twitter

TypeORM

TypeScript

Vue.js

Web Socket

Web Speech API

Web3 API

Web3.js

Web3

Web3Auth

WebRTC

Banking API

Google Chrome API

GPRS

Moralis

Heroku

Hospital API

Ionic

PayPal

Three.JS

3D modelling

Zero documentation, legacy code, constant crashes. We had just 10 days to fix it. Challenge accepted.

The previous team left the project in chaos.

Ryan Green

Very good team and well organized. They handled perfectly the project from start to end. We will continue to work with them in the future.

How we transformed ideas into impactful results.

Discovery phase

During Discovery, we researched user needs, scoped features, and defined tech integrations for Tekk's marketplace and community platform.

Design phase

During the Design phase, we created wireframes, designed UI elements, and defined user flows for Tekk's marketplace and community features.

Development phase

During the Development phase, we implemented backend functionality, integrated AI algorithms for search, and optimized performance for Tekk's platform.

Testing phase

During the Testing phase, we conducted rigorous QA checks, simulated user scenarios, and ensured seamless functionality across Tekk's features.

Deployment phase

During the Deployment phase, we launched Tekk, ensured server scalability, monitored performance, and provided user support for seamless integration.

Support phase

During the Support phase, we provided ongoing maintenance, bug fixes, user training, and addressed customer inquiries promptly.

First Decision

Second Decision

Accessibility

Primary Color

Secondary Color

Colors we used

Primary Font

Secondary Font

Fonts we used

Explore a vast array of products, apply advanced filters, and bookmark your favorites. Engage with community-driven features like auctions, quizzes, and drawings. Benefit from AI-powered recommendations and seamless navigation, making shopping enjoyable and efficient.

We implemented AI-driven dynamic pricing to optimize product prices in real-time. By analyzing market trends, competitor pricing, and user demand, the AI adjusts prices to maximize sales and profitability. This feature ensures competitive pricing, attracting more customers and enhancing the overall marketplace appeal.

Dynamic Pricing Optimization

We integrated AI to perform sentiment analysis on user reviews and feedback. By analyzing the tone and context of user comments, the AI provides insights into customer satisfaction and identifies areas for improvement. This feature helps Tekk respond proactively to user concerns and enhance overall service quality.

User Sentiment Analysis

The feature enhances user engagement through a variety of community-driven events such as auctions, quizzes, and drawings. These activities are designed to create a dynamic and interactive shopping experience. Auctions allow users to bid on exclusive items, quizzes offer a fun way to earn rewards by testing knowledge, and drawings provide opportunities to win prizes. AI algorithms personalize these activities by suggesting relevant events based on user interests and past participation. This feature not only boosts user involvement but also fosters a vibrant, engaging community.

Interactive Activities

The feature leverages the collective power of its users to unlock exclusive deals and discounts. Users can participate in group buying, where discounts are activated based on the number of participants. Additionally, community engagement through reviews, ratings, and recommendations helps identify popular products, prompting Tekk to negotiate better prices with vendors. AI algorithms analyze user activity to highlight trending discounts and personalized offers. This feature fosters a sense of community, encouraging collaboration while providing substantial savings on a wide range of products.

Community-Powered Discounts

The feature enhances user experience by providing powerful tools to find and save products efficiently. Users can apply multiple filters based on categories, price ranges, brands, ratings, and more, allowing them to narrow down search results to precisely what they need. The intuitive bookmarking system enables users to save their favorite items for easy access later. These features are powered by AI, which learns user preferences to suggest relevant filters and organize bookmarks smartly, ensuring a personalized and streamlined shopping experience.

Advanced Filtering and Bookmarking

Tekk

providing users with a vast array of tech options to choose from.

allowing users to save and revisit their favorite tech products.

helping users save money on top tech items.

educating users with the latest trends and expert advice.

facilitated, fostering a vibrant community of tech enthusiasts.

offering unique opportunities for users to bid on exclusive tech products.

The complex user interface caused navigation confusion, hindering the user experience. Scaling community-driven features posed technical scalability challenges, impacting performance under high traffic. Additionally, search performance was slow, spam detection was ineffective.

AI-Powered Solution // Accelerated Search Performance

Slow Search Performance

We optimized search algorithms using AI-driven indexing and caching techniques. By leveraging machine learning to predict popular searches and preloading results, we significantly reduced search latency. Implementing distributed search architecture also allowed us to handle high volumes of queries efficiently, ensuring fast and responsive search performance.

AI-Powered Solution // Advanced Personalization Engine

Initial AI integration for product recommendations lacked accuracy

We enhanced the AI algorithms by implementing a hybrid recommendation system. This system combines collaborative filtering, which analyzes user behavior and preferences, with content-based filtering that evaluates product attributes. We also incorporated user feedback loops to continuously refine and train the AI models. By integrating advanced machine learning techniques, such as neural networks and natural language processing (NLP), we improved the AI's ability to understand user preferences and deliver more accurate, personalized recommendations, thereby enhancing user experience.

Ineffective Spam Detection

We integrated machine learning models trained on historical data to detect and filter out spam content. These models analyze patterns and user behavior to identify suspicious activities. Continuous training and updating of the models with new data improved their accuracy over time, ensuring a cleaner and more trustworthy marketplace environment.

Scaling community-driven features posed technical scalability challenges

We adopted a microservices architecture. This approach allowed us to break down the application into smaller, independent services that can be developed, deployed, and scaled individually. We utilized containerization technologies like Docker and orchestration tools like Kubernetes to manage these services efficiently. Additionally, we implemented robust load balancing and auto-scaling mechanisms to handle increased user activity during peak times. By using cloud-based infrastructure, we ensured that the platform could scale dynamically, maintaining performance and reliability.