AI-native development

By using the power of AI-driven decision-making, we transform applications and create more personalized user experiences.

We develop scalable AI solutions that empower your applications with smart, data-driven solutions that enhance decision-making and streamline operations. Whether you're looking to automate processes, glean insights from big data, or innovate within your market, our expert team will guide you through integrating AI technologies, ensuring your app stays ahead of the curve and maximizes its potential in the digital age.

core tech

tech stack

Swift

Flutter

React Native

Kotlin

Ruby on Rails

vue.js

nuxt.js

Python

Django

node.js

Heroku

Sketch

Figma

Microsoft Azure

Docker Cloud

Amazon Web Services

Kubernetes

Adobe Ilustrator

Adobe After Effects

Marvel

OpenAI

Claude

Javascript

PromptLayer

Pinecone

Intelligent Automation

Our team specializes in intelligent automation that transforms processes, enhances decision-making, and keeps your operations streamlined. Whether you're looking to automate workflows, generate insights from complex data, or disrupt your market with cutting-edge technology, we're here to make it happen.

Scalable AI Solutions

Our AI Implementation services turn ideas into reality, and we develop custom AI solutions that adapt and grow with your business. We collaborate closely with your team to understand your vision, proposing solutions like ML (Machine Learning) integration, Deep Learning solutions, LLMs (Large Language Models), chatbot development, and other AI methodologies that align with your business goals.

Data Audit & Analysis

Effective AI starts with clean, insightful data. Our Data Audit & Analysis services assess your data to set a strong foundation for enhancing customer experience with AI. We dig deep to uncover patterns, enabling you to make data-backed decisions with confidence.

AI Consulting and Development

Got a bright AI idea? We bring it to life! From proof of concept to full-scale deployment, our AI consulting and development covers everything: choosing the right algorithms, integrating deep learning, and creating intuitive interfaces. Our proven AI integration methods ensure your application is built to excel and succeed. An example of our previous work is Equality AI. This web platform brings human-centered AI & ML solutions and provides a developer-first experience with an end-to-end fairness framework and functionality that can be selectively applied to workflows for fitting models that reduce the risk of biased outcomes in the healthcare sector. In 2024, we won the Webby Awards in the Responsible AI category with our partners from Equality AI.

our services

AI development & Integration

projects

our work

We specialise in premium mobile app development services, web development services, and everything that revolves around them: Product Design, Product Strategy, AI integration, QA and maintenance. Over the years, we've not only built powerful digital products but also played a key role in boosting conversion rates, optimizing performance, adapting to growing user bases, and improving app store rankings and reviews. These efforts have driven greater user engagement and significantly increased revenue.

Curious to see more?

See Our work

partners whotrustus

From startups to scale-ups and industry giantsβ€”brands across various industries choose us as their trusted partners. They rely on us to transform their ideas into stunning products, deliver innovative solutions, and enhance existing projects to help them stand out in the market.

insights

pack knowledge

blog post image

Manual Testing vs. Automated Testing: An Intro to Effective QA!

blog post publisher

Dragos

QA Specialist

6 min

Feb 18, 2022

As humankind constantly evolves, we explore and invent new ways to make our lives easier. Even if we are talking about something simple like washing machines or more complex things like self-driving cars (we can see a pattern here), humans like to automate.

blog post image

Optimistic Frontend Development

With web and mobile apps, there is a lot of planning and designing. When you have a complex system, new features can break the app’s UX, performance, or code.

blog post image

4 Important Healthcare Apps Tips for 2022

There's no need to say that the last two years have been very challenging from a medical point of view and there has been an increasing demand for healthcare apps. What are the aspects you need to pay attention to if you want to build a healthcare app in 2022?

FAQ

frequently asked questions

wolf

Yes, we have extensive experience working with AI integrations. One example of our work includes Equality AI, a web platform that provides human-centered AI and ML solutions and a developer-first experience with an end-to-end fairness framework and functionality that can be selectively applied to workflows to fit models that reduce the risk of biased outcomes. Equality AI Responsible MLOps provides fairness-based machine learning capabilities for data scientists to develop and collaborate with clinical teams to decrease the risk of discrimination in clinical decision-making algorithms.

AI (Artificial Intelligence) is a broad field of computer science focused on creating systems capable of performing tasks that typically require human intelligence. This includes problem-solving, understanding natural language, recognizing patterns, and many others. Machine Learning (ML), on the other hand, is a subset of AI that involves training algorithms on large datasets to solve these problems (like learning patterns and making predictions or decisions) without being explicitly programmed for each task. In essence, ML is a way to achieve AI by allowing systems to learn from carefully designed datasets.

The costs associated with AI integrations can vary widely depending on the project's complexity. Factors influencing cost include data collection and preprocessing, algorithm development and training, infrastructure and cloud services, integration with existing systems, and ongoing app maintenance and support. Additionally, licensing fees for proprietary AI models or APIs from third-party providers can contribute to the overall cost.

You do not necessarily need to build an AI from scratch. Many existing AI providers offer robust APIs and services that can be integrated into your applications. These include ChatGPT API, Claude API, Google Cloud AI, IBM Watson, Microsoft Azure AI, and Amazon Web Services (AWS) AI. These services can significantly reduce development time and costs while providing access to advanced AI capabilities.

The security of your data when using AI depends on the measures implemented by the AI provider and the practices followed during integration. Most reputable AI providers have stringent security protocols to protect your data, including encryption, access controls, and compliance with data protection regulations. However, it's crucial to review the specific security policies of the AI provider you choose and ensure that your integration process maintains data privacy and security. Always consult your provider and our team to ensure your data remains secure and private.

We have extensive experience integrating AI across a wide range of industries, including fintech, health & beauty, transportation & automotive, e-learning, social platforms, and many more. Our expertise allows us to create customized AI solutions that enhance operational efficiency, customer experience, and overall business performance, regardless of the sector.