Analytics
AI business integration services
We integrate generative AI into existing business solutions and build them from scratch.
Generative AI integration helps companies to automate routine processes and tasks, increase efficiency, and cut expenses. It also improves user experience by providing customized recommendations and fast customer support. AI technologies help to boost sales with lead generation and qualification and offer relevant marketing ideas as well.
Steps we take in the AI integration process
- 1
Business analysis
Analytics is an important part of our AI business integration services. At this stage, we identify our client's business goals and find a generative AI solution to reach these goals within the budget expectations. Our analyst prioritizes features and estimates the cost and time needed to build the product.
- 2
UI/UX design
Based on the analytics, our UI/UX designers build an intuitive and user-friendly interface. Then they create the UI according to the client's brand identity and the UI Kit that can be used to scale the design up.
- 3
Planning the sprints
We usually divide the work into two-week sprints. That’s enough time to complete a piece of functionality and show our client a tangible result. After each sprint, the client can check the work and evaluate the progress.
- 4
Collecting data and preparing
For smooth AI implementation, we asses existing artificial intelligence models like machine learning, deep learning, and NLP, and choose the one that suits the application requirements best. After that, we gather relevant data and train a generative AI model with its help.
- 5
Development and QA testing
At this stage of AI business integration services, our developers build scalable architecture, write clean code, and implement APIs. When integrating AI into an application, they ensure that it is smoothly incorporated and perform thorough testing to guarantee that system integration is flawless, allowing all parts of the app to communicate effectively. They also run automated tests and use error-tracking tools to fix any bugs quickly.
- 6
Release
To quickly release the app to the store, we follow iOS and Android guidelines and make sure the software runs smoothly. As for web software, we check it for bugs and bring it into the production environment. After the app is deployed in the environment, we will maintain the infrastructure that we set up for your app by subscription.
- 7
Iterate and improve
After the first version is released, we continue to work on it — fix post-release bugs, add new features, and update the software based on user feedback. Also, after integrating AI we can regularly iterate and improve the model. This may include fine-tuning the algorithms, incorporating new data sets, and making updates or changes to the underlying technology stack.
Our projects:
Industries we work with
Healthcare
With the help of generative AI integration, medical professionals can now analyze large, complex sets of patients’ data in real time, identify diseases faster, and make accurate predictions. AI business integration in healthcare services can streamline administrative tasks, such as appointment scheduling, patient registration, and billing.
Fintech
AI solutions for financial services can offer personalized financial advice, help users manage their spending, and even provide investment recommendations. AI algorithms can detect unusual patterns in transactions and flag them, making it easier to prevent fraud.
Booking
Business automation services can help travel companies optimize their pricing strategies to stay competitive and maximize revenue. AI technology can analyze customer behavior and market trends and provide pricing recommendations. AI-powered chatbots can answer customer queries, reduce the workload on customer service teams and improve response times.
Real estate
With AI algorithms, buyers can quickly find properties that match their criteria, while sellers can receive accurate property valuations and market analyses. AI business integration services can also help real estate agents by providing them with insights into the latest market trends and predicting future changes.
E-commerce
By using AI integration services, businesses can analyze customer behavior, identify patterns, and make recommendations for products or services. E-commerce companies can use generative AI integration to automate certain tasks, such as customer service inquiries or inventory management, which can save time and increase efficiency.
Logistics
With the help of generative AI integration services, businesses can get applications with route optimization features to choose more efficient routes for delivery, and demand forecasting features that help companies better manage inventories. Integrating AI through generative technology can automate various warehouse tasks, such as sorting and categorizing goods, which significantly increases speed and reduces human error.
Enterprise-level apps
Large enterprises can benefit significantly from custom applications designed to enhance their in-house operations. By integrating AI into these applications, businesses can automate content creation—such as reports, summaries, and marketing materials—thereby saving time and resources. Additionally, they can personalize customer experience by analyzing user data and utilize data integration to visualize and interpret critical corporate datasets.
Why choose us as a provider of generative AI integration services?
Comprehensive AI consulting services
Our team offers comprehensive support, from creating custom AI solutions to refining your AI integration strategy. We assess your existing data infrastructure and develop robust procedures for data integration, collection, and storage. Also, we can validate the feasibility of AI solutions before full-scale implementation and provide consultations on diverse AI-related challenges.
Freedom from vendor lock-in
Vendor lock-in happens when a business can’t switch its tech service provider without spending a lot of resources, whether deciding to stop app development or work with someone else. To prevent this, when developing custom software solutions or integrating AI, we use popular and open-source technologies. These are familiar to most developers and make it easier to switch a vendor.
End-to-end development
Our team specializes in creating custom AI solutions from the ground up. We handle everything from gathering requirements and designing the application interface to deploying the app in the infrastructure we set up. Additionally, we offer ongoing maintenance support whenever you need it.
Diverse team of IT experts
Our team consists of 50+ engineers all of whom have an education degree in computer science. Apart from checking the degrees of our team members, we run internships where we help our them obtain the best corporate and industry practices. With numerous specialists on board, we can scale the team up and down on the needs of your project.
Compliance with security regulations
When developing custom AI solutions, we ensure compliance with regional security laws and standards to support your successful digital product launch. We use encryption protocols, technology stacks, and solutions that align with GDPR, ISO 27001, PCI DSS, and other relevant security regulations.
What our clients say about us:
Numbers
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FAQ
What is generative AI?
Generative AI refers to a type of artificial intelligence that is capable of generating new content, from text and images to music and code, based on patterns and data it has previously learned. Unlike conventional AI which is typically used for recognizing patterns, analyzing data, or making predictions, generative AI takes this a step further by creating novel outputs that didn't exist before.
This type of AI works by using machine learning algorithms, particularly a subset called generative models, such as Generative Adversarial Networks (GANs) or Variational Autoencoders (VAEs). These models are trained on large datasets and learn to understand the intricacies and styles inherent to the data. Once trained, they can produce new examples that are similar to but distinct from the original data.
What are the possibilities of generative AI?
What is AI business integration, and how can it benefit my company?
Can you work with my company’s existing software?
Do you integrate generative AI into mobile apps or web apps, or both?
How long does the AI integration service typically take?
Can you provide ongoing maintenance and support for the generative AI integration service?
What is the cost of AI business integration services?
How can generative AI integration with cloud services benefit my business?
Is the generative AI integration service secure for my sensitive data?
What makes generative AI integration different from regular automation?
Why should I choose your AI services over competitors?
Can generative AI integration help with creative tasks or is it just for analytical ones?
What are the first steps my company should take to get started with generative AI integration?
I'm afraid that AI can make serious mistakes that can cause my business to suffer
1. Quality training data: Ensuring your generative AI is trained on a large, well-curated dataset minimizes the likelihood of errors.
2. Human oversight: Human expertise complements AI's capabilities and helps to mitigate potential flaws.
3. Risk management strategies: Develop strategies and protocols for when errors are detected. Knowing how to respond quickly can significantly reduce the potential harm to your business operations.
4. Compliance with standards and regulations: Adhering to industry standards and regulations ensures that your generative AI systems are up to the latest safety and ethical guidelines, reducing the risk of mistakes.
By following these measures, you can significantly reduce the risk of serious mistakes and leverage AI to bring value and innovation to your business rather than cause harm. As an integration partner, we do everything possible to make AI useful and valuable for your business.