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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.

Customer`s feedback

Outstanding service from this software development company! Their team was highly responsive, skilled, and delivered a flawless product on time. The collaboration was smooth, and they went above and beyond our expectations. I highly recommend them to anyone looking for reliable and top-quality software development.

How we transformed ideas into impactful results.

Discovery phase

We conducted in-depth market analysis and gathered user feedback to identify key pain points in existing customer engagement tools. This research guided our design, focusing on creating a free, open-source platform with an intuitive interface and robust onboarding capabilities.

Design phase

We focused on creating a user-friendly interface that balances feature richness with simplicity. The Visual Journey Builder was crafted to be intuitive, enabling teams to design complex workflows effortlessly. We prioritized seamless navigation to enhance the overall user experience.

Development phase

We implemented a scalable microservices architecture to support growing user demands. Focused on performance, we built the Visual Journey Builder to be both powerful and intuitive, enabling seamless workflow creation. Rigorous testing ensured a robust and reliable platform.

Testing phase

We conducted extensive user testing and performance assessments to ensure reliability and ease of use. Focused on the Visual Journey Builder, we identified and resolved issues, optimizing the platform for seamless workflow creation and consistent delivery of communications across all channels.

Deployment phase

We ensured a smooth rollout by leveraging cloud infrastructure for scalability and reliability. Comprehensive documentation and support were provided to facilitate easy adoption. Continuous monitoring was implemented to swiftly address any issues and optimize performance post-launch.

Support phase

We provided ongoing assistance and updates to ensure users maximize the platform's potential. We established a responsive support team, delivered regular updates, and maintained comprehensive documentation, ensuring a seamless and continuously improving user experience.

First Decision

Second Decision

Accessibility

Primary Color

Secondary Color

Colors we used

Primary Font

Secondary Font

Fonts we used

Laudspeaker is an open-source platform that revolutionizes customer engagement and product onboarding. Explore how its intuitive Visual Journey Builder and multi-channel communication tools empower your team to create seamless, effective onboarding experiences without the high costs.

The AI-driven workflow recommendation feature suggests optimal onboarding and engagement workflows based on user data and best practices. By analyzing successful journeys and customer feedback, the AI identifies the most effective sequences for achieving specific objectives. This feature offers data-backed recommendations to streamline the creation and execution of workflows, enabling teams to deliver seamless and efficient onboarding experiences. The automation of workflow recommendations saves time and ensures consistent delivery of high-quality customer interactions.

Automated Workflow Recommendations

This feature uses AI to automatically segment audiences based on behavioral data, demographics, and engagement patterns. The AI analyzes user interactions and attributes to create distinct segments that help target communications effectively. By understanding customer preferences and needs, this feature allows for personalized messaging and enhanced customer engagement. The automated segmentation process saves time and resources, ensuring that each user receives content that resonates with their interests and behaviors.

Automated Audience Segmentation

AI-driven predictive analytics forecast user engagement by analyzing historical data and identifying trends. This feature provides insights into which content, channels, and timing are most likely to drive user interaction and conversion. By leveraging predictive models, marketers can optimize their communication strategies to maximize impact and achieve desired outcomes. The AI offers data-driven recommendations for content adjustments and scheduling, helping teams make informed decisions that enhance overall engagement and customer satisfaction.

Predictive Engagement Analytics

This feature leverages natural language processing (NLP) to personalize communications based on user preferences and language usage. By analyzing user-generated content and interactions, the AI tailors messages to align with individual communication styles and preferences. The NLP algorithms enhance the relevance and relatability of content, improving customer experience and strengthening brand loyalty. This personalized approach fosters deeper connections with users, ensuring that messages are received positively and drive meaningful engagement.

Natural Language Processing for Personalization

AI algorithms automatically optimize content by analyzing user engagement metrics and feedback. This feature continuously tests and adjusts messaging elements, such as headlines, visuals, and calls-to-action, to maximize effectiveness. By leveraging machine learning, the AI identifies the best-performing content variations and adapts them in real-time. This dynamic optimization ensures that communications remain relevant and impactful, increasing the likelihood of achieving campaign goals and improving overall conversion rates.

Dynamic Content Optimization

Laudspeaker

onboarded within the first year, demonstrating the platform's effectiveness and appeal.

allow teams to design seamless onboarding sequences and targeted communications.

through personalized and targeted communications across multiple channels.

launched, showcasing the platform's capability to handle diverse communication needs.

attained, reflecting the positive impact and efficiency of the Visual Journey Builder and other comprehensive tools.

We faced challenges such as integrating multiple communication channels and ensuring the Visual Journey Builder remained intuitive. We solved these by creating a flexible API for seamless channel integration and designing a user-friendly interface that simplifies complex workflows.

AI-Powered Solution // Modular System Integration

Integration Complexity

To tackle integration complexity, we adopted a modular architecture approach. We developed AI components as independent microservices with well-defined APIs, allowing for seamless integration with existing systems. By utilizing containerization technologies like Docker, we ensured consistent deployment and compatibility across different environments. Comprehensive documentation and integration guidelines were provided to developers, facilitating smooth collaboration and minimizing integration challenges.

AI-Powered Solution // Scalable Performance Optimization

Performance Impact

To mitigate performance impact, we optimized AI models for efficiency. We employed model compression techniques, such as quantization and pruning, to reduce computational requirements without compromising accuracy. Implementing scalable cloud infrastructure and load balancing mechanisms ensured the platform could handle increased workloads seamlessly. Additionally, we implemented caching strategies to store frequently accessed AI predictions, minimizing redundant computations and enhancing platform responsiveness.

Ensuring scalability with increasing user base

We adopted a microservices architecture to break down the platform into independent, scalable components, ensuring that each service could handle increased loads without affecting overall performance. We also implemented load balancing and auto-scaling techniques to distribute traffic efficiently and dynamically adjust resources based on demand. By leveraging cloud infrastructure, we ensured that Laudspeaker could scale seamlessly, maintaining high performance and reliability as the user base expanded. This strategy enabled us to support growth without compromising on service quality.

Balancing feature richness with intuitive user experience

We implemented a modular design approach. This allowed us to offer a comprehensive set of tools while ensuring the interface remained clean and user-friendly. By prioritizing the most essential features and gradually revealing advanced options based on user interaction, we maintained a seamless experience for both novice and experienced users. Additionally, the Visual Journey Builder was designed with simplicity in mind, allowing teams to easily create and manage intricate workflows without overwhelming the user with complexity.

AI Bias and Fairness

To address AI bias and fairness, we conducted thorough audits of AI models to identify and rectify bias sources. Diverse and representative datasets were curated for training, ensuring fair representation of different user groups. We incorporated bias mitigation techniques, such as re-sampling and algorithmic adjustments, to promote equitable outcomes. Regular monitoring and evaluation of AI models helped us maintain fairness, transparency, and inclusivity, ensuring ethical AI deployment and user engagement.