Notice: To see this event in your calendar, go to your mailbox and click the I KNOW THE SENDER button on the call confirmation email.&nbsp;

Hooray! You successfully booked a call with CGS team.

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.

Customer's feedback

The team's performance was exceptional, surpassing all of our initial expectations. We are highly satisfied with the work. Thank you.

How we transformed ideas into impactful results.

Discovery phase

We conducted in-depth research to understand user needs and communication behaviors. We identified key challenges in audio communication and explored AI-driven solutions, laying the groundwork for an intuitive platform focused on seamless, real-time interactions.

Design phase

We focused on creating an intuitive user interface that supports seamless audio interactions. We integrated AI-driven voice-to-text transcription, ensuring the platform was both user-friendly and visually appealing, while prioritizing user privacy and security.

Development phase

We implemented AI-driven voice-to-text transcription and seamless voice command recognition. We focused on building a robust, user-friendly platform that ensures smooth, real-time communication, while prioritizing privacy and security throughout the development process.

Testing phase

We rigorously tested the AI-driven voice-to-text transcription and voice command features. We ensured accuracy, responsiveness, and seamless performance across various scenarios, while also validating the platform's privacy and security measures to guarantee a reliable user experience.

Deployment phase

we ensured a smooth rollout, optimizing the platform for real-time audio communication and AI-driven transcription. We closely monitored performance, addressed any issues promptly, and provided ongoing support to ensure a seamless user experience with a focus on privacy and security.

Support phase

We provided ongoing maintenance, promptly addressing any issues and rolling out updates to enhance functionality. We ensured that AI-driven transcription and voice commands continued to operate smoothly while maintaining a strong focus on user privacy and security.

First Decision

Second Decision

Accessibility

Primary Color

Secondary Color

Colors we used

Primary Font

Secondary Font

Fonts we used

Near is an innovative audio-based communication platform that transforms how you connect with others. Create personalized profiles, join interactive audio rooms, and enjoy real-time voice-to-text transcription powered by AI. Seamlessly manage conversations with voice commands.

This feature uses AI-driven algorithms to detect and filter inappropriate content in real-time, including offensive language and spam. The system analyzes audio conversations and transcriptions, flagging potential violations for further review or automatic action, such as muting or removing users. Additionally, the feature adapts to evolving language patterns, improving its accuracy over time. By maintaining a positive and secure community, Automated Moderation enhances user trust and engagement, making Near a welcoming platform for all users.

Automated Moderation

This feature uses machine learning algorithms that continuously learn and adapt to individual user speech patterns, accents, and vocabulary. As users interact with the platform, the system refines its understanding, leading to improved transcription accuracy over time. Additionally, the Adaptive Learning feature can suggest personalized command options based on user behavior, making the interaction more intuitive. This dynamic adaptation ensures a tailored communication experience, enhancing the overall usability and effectiveness of Near.

Adaptive Learning

This feature uses advanced AI algorithms to analyze unique vocal characteristics, allowing for secure and convenient user authentication. By recognizing individual voice patterns, Near can verify user identities without requiring additional passwords or PINs, streamlining the login process. Additionally, Voice Biometrics enables personalized user experiences by automatically recognizing users and loading their preferences and settings. This feature not only improves security but also enhances user convenience, making interactions with Near more efficient and personalized.

Voice Biometrics

This feature utilizes AI algorithms to analyze the emotional tone and sentiment of spoken interactions in real time. By assessing factors such as word choice, tone, and context, the system can determine whether a conversation is positive, neutral, or negative. This information is valuable for personalizing user experiences, enabling more empathetic responses in customer service scenarios, and moderating discussions in audio rooms. The Sentiment Analysis feature helps create a more dynamic and responsive communication environment on Near.

Sentiment Analysis

This feature uses AI to analyze the context of conversations, recognizing nuances and intent beyond individual words. By understanding the context, Near can accurately interpret commands, even when phrased differently, and provide more relevant responses. This capability allows the system to handle complex conversations and follow the flow of dialogue naturally, improving user interactions. The Contextual Understanding feature enhances the overall communication experience by making interactions more intuitive, responsive, and human-like.

Contextual Understanding

indicating widespread adoption and user interest in AI-driven communication solutions.

accuracy, significantly enhancing the reliability and usability of its transcription services.

hosted monthly, facilitating seamless connections and conversations among users worldwide.

showcasing high user satisfaction and the platform's ability to maintain active and engaged users.

created, allowing users to enhance their interactions with customized and intuitive features.

through AI-driven command recognition, streamlining communication processes and enhancing overall user experience.

Near faced challenges in ensuring accurate voice-to-text transcription and handling diverse accents and dialects. Additionally, maintaining user privacy while processing audio data was critical. The team worked on optimizing AI algorithms and implementing robust data encryption.

AI-Powered Solution // Enhanced Speech Recognition

Accurate Voice-to-Text Transcription

First, we enhanced our AI algorithms to better recognize diverse accents and speech patterns, ensuring more precise transcription. We incorporated machine learning models that continuously adapt and improve based on user interactions, increasing accuracy over time. Additionally, we utilized noise-cancellation techniques to filter out background sounds, allowing clearer voice capture. We also offered users the ability to provide feedback on transcriptions, using this data to further refine our algorithms. These measures significantly improved transcription accuracy.

AI-Powered Solution // Multilingual Transcription

Multi-Language Support

We expanded our AI models to include multilingual capabilities, enabling the platform to recognize and transcribe multiple languages accurately. We partnered with linguistic experts to fine-tune our models for regional dialects and accents. Additionally, we incorporated machine learning techniques that allow the system to adapt and improve with user interactions in different languages. We also offered a customizable language selection feature, enabling users to switch languages easily. These efforts ensured seamless communication across diverse linguistic backgrounds.

Real-time Command Detection

We optimized our AI algorithms to prioritize low-latency processing, enabling faster command recognition and execution. By employing edge computing, we processed data closer to the source, reducing delays. We also fine-tuned our natural language processing (NLP) models to accurately interpret voice commands, even in noisy environments. Additionally, we introduced customizable voice command options, allowing users to tailor commands to their preferences. These solutions collectively ensured quick and accurate command detection, enhancing the real-time responsiveness of the platform.

Background Noise Reduction

We integrated advanced noise-cancellation algorithms capable of distinguishing and filtering out ambient sounds from the user's voice. These algorithms use machine learning to adapt to various acoustic environments, ensuring clearer audio capture. Additionally, we incorporated beamforming technology, which focuses on capturing the user's voice while minimizing surrounding noise. We also allowed users to manually adjust noise reduction settings for optimal performance. These solutions collectively improved audio quality, ensuring accurate voice-to-text transcription.

Scalability and Performance

We adopted a cloud-based infrastructure, enabling flexible scaling to accommodate growing user demand. By utilizing microservices architecture, we distributed workloads efficiently, enhancing system performance and reliability. We also implemented load balancing and caching mechanisms to optimize resource usage and reduce latency. Additionally, we conducted rigorous performance testing to identify and address bottlenecks, ensuring smooth operation even during peak usage. These measures allowed Near to scale effectively while maintaining high performance.