AI product development & consulting services
AI product development & consulting services

AI product development & consulting services

We get you: Count on our AI solutions, built from the ground up just for you, and backed by our experience in creating smart, efficient products

Discover the potential of AI software development services across various industries

Discover how AI services can be tailored to address challenges across various industries, simplifying problem-solving and enhancing efficiency

Energy Industry

Explore the impact of AI software development and consulting services on the energy sector:

  • Data Analytics: Leverage AI for real-time data analysis, offering actionable insights to optimize energy production and distribution.
  • Predictive Maintenance: Utilize AI models to predict equipment failures and schedule maintenance, reducing downtime.
  • Operational Efficiency: Streamline operations with automated processes, reducing operational costs.
  • Energy Forecasting: Improve energy allocation with AI-powered demand forecasting.
  • Product Development: Accelerate the creation of innovative energy solutions with GenAI’s rapid prototyping and simulation capabilities.
  • Custom Solutions: Tailored AI applications to meet the unique needs and challenges of the energy sector.
  • Smart Grids: Enhance grid management and distribution efficiency with AI algorithms.
  • Renewable Energy: Optimize the use and integration of renewable energy sources through intelligent analytics and forecasting.

E-commerce Industry

Discover how AI software development and consulting services benefit e-commerce companies:

  • Personalized Shopping Experience: AI can analyze users' browsing patterns, purchase history, and preferences to recommend products, creating a tailored shopping experience for each customer.
  • Chatbots and Virtual Assistants: These AI - driven tools can answer customer queries, assist in product selection, and provide instant support 24 / 7, enhancing customer service without significant manpower.
  • Improved Search Results: Through AI algorithms, search functionalities within e - commerce platforms can be enhanced to provide more accurate and relevant results based on user intent.
  • Price Optimization: AI can analyze market demand, competitor prices, and other external factors in real-time to dynamically adjust pricing, ensuring competitiveness while maximizing profits.
  • Inventory Management: Predictive analysis can forecast demand, helping businesses manage their inventory more efficiently and reduce stockouts or overstock situations.
  • Visual Recognition: Customers can search for products using images, and AI can identify and suggest similar products available in the store.
  • Fraud Detection: AI can identify unusual patterns and behaviors, offering enhanced security measures and reducing instances of fraud.
  • Sales Forecasting: With AI, e-commerce businesses can get more accurate sales predictions, helping them prepare in terms of stock, manpower, and logistics.

Travel Industry

Explore how AI software development and consulting services are transforming the travel industry:

  • Personalized Customer Experiences: GenAI and LLMs enable hyper-personalization at scale. Deliver tailor-made travel recommendations, personalized itineraries, and bespoke services, enhancing customer loyalty and satisfaction.
  • Data-Driven Decision Making: Harness the power of AI to analyze vast amounts of data, providing actionable insights that empower your business to make informed decisions, optimize operations, and enhance service quality.
  • Automated Customer Support: Implement AI-powered virtual assistants and chatbots that offer instant, accurate responses to customer inquiries, ensuring superior service quality round the clock without escalating operational costs.
  • Dynamic Pricing: Utilize AI to implement dynamic pricing strategies, analyzing real-time market data to adjust prices optimally, maximizing revenue, and enhancing competitiveness.
  • Intelligent Recommendations: Leverage the analytical prowess of AI to offer intelligent recommendations, helping travelers to discover hidden gems, personalized travel experiences, and make informed choices.
  • Sustainable Travel: Promote responsible and sustainable travel by utilizing AI to analyze and provide insights on eco-friendly options and practices, aiding travelers in making conscious choices.
  • Enhanced Security: Implement AI-driven identification and verification processes, ensuring the safety and security of travelers’ data and transactions.
  • Seamless Integration: Our AI solutions are designed to seamlessly integrate with your existing systems, ensuring minimal disruption and maximum enhancement in service delivery and operational efficiency.

Construction materials Industry

Discover how AI software development and consulting services are revolutionizing the construction materials industry:

  • Supply Chain Optimization: AI can predict demand for specific materials based on construction trends, historical data, and other influencing factors, ensuring timely procurement and minimizing storage costs.
  • Quality Control: Image recognition and machine learning can be used to inspect materials for defects or inconsistencies, ensuring only high-quality materials are used or shipped.
  • Demand Forecasting: Predictive analytics can provide insights into future demand, helping companies to adjust production levels and manage inventory more effectively.
  • Operational Efficiency: AI can optimize production processes, reducing waste, and improving the overall efficiency of material production.
  • Logistics and Delivery: AI algorithms can plan optimal routes for material delivery, taking into account factors like traffic, weather, and construction site schedules, ensuring timely and cost-effective transport.
  • Safety Enhancements: AI can predict potential safety risks in the manufacturing or transportation process, ensuring measures are taken to mitigate those risks.
  • Cost Estimations: AI can provide more accurate cost estimations for producing certain materials based on various factors like raw material prices, labor costs, and energy consumption.
  • Waste Reduction: By predicting the exact amount of materials required for specific projects and optimizing production processes, AI can significantly reduce waste.

Logistics and transportation Industry

Explore how AI software development and consulting services are transforming logistics and transportation:

  • Optimized Routes: AI can analyze vast amounts of data, including traffic patterns, weather conditions, and roadwork, to determine the most efficient routes for transportation, reducing fuel costs and improving delivery times.
  • Demand Forecasting: By analyzing historical data, AI can predict future demand for transportation and logistics services, allowing businesses to optimize resource allocation, reducing overheads and improving service delivery.
  • Predictive Maintenance: AI can predict when a vehicle or machinery is likely to require maintenance, minimizing downtime and reducing unexpected equipment failures.
  • Automated Warehousing: AI-driven robots can streamline warehouse operations, enhancing inventory management, and speeding up the packaging and dispatch processes.
  • Real-time Tracking: AI-powered systems can offer real-time tracking of shipments, giving customers and businesses improved visibility and enabling proactive management of any delays or issues.
  • Dynamic Pricing: AI can analyze market demand, competitor prices, and other external factors in real-time to adjust pricing dynamically, maximizing profitability.
  • Enhanced Customer Service: AI chatbots and virtual assistants can provide instant responses to customer inquiries, book shipments, or address concerns, improving the customer experience.
  • Safety Improvements: AI can assist in monitoring driver behavior, predicting potential road hazards, or autonomously operating vehicles, thereby reducing the risk of accidents and enhancing overall road safety.
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Case studies of our AI-Powered products

Find out how our AI services improved our clients' digital products, helping their businesses grow and outpace their competition. See how even small AI improvements can make big differences in your company.

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CASE STUDY

Expanding Traffic Family's Online Business With AI Support

Bring us your idea - we'll bring the solution

Olivier Halupczok

Olivier Halupczok

Generative AI Engineer

Kamil Szydłowski

Kamil Szydłowski

Full Stack Developer

Discover how our AI software development services process turns ideas into reality

We are natural-born problem solvers, with a strong emphasis on listening. We prioritize understanding both your needs and those of your customers and users. This approach guides our AI product development, turning ideas into reality.

1

Initial communication and understanding

When you first get in touch, we aim to grasp your specific needs or broad ideas. Sharing your existing views or knowledge about your product or concept helps in refining our approach. We stand ready to assist you in defining clear and actionable objectives for your business.

2

In-depth needs analysis

In this step, we really look into what you say you need and what you might not say directly. By asking a lot of questions and checking if what we think is right, we aim to understand your business goals. This helps us get ready for the next steps.

3

Proposal creation and POC development

Based on what you tell us, we draft a solution proposal. For AI-powered products, we typically recommend a Proof of Concept (POC) to see if it works well technically and for your business.

4

Solution recommendations

We suggest two different solutions that have different costs and sizes. After sharing our projected timeline and implementation estimates, we await your feedback to make sure we are on the same page.

5

Refinement and kick-off

We work together to improve the plan. If necessary, we set up an additional meeting dedicated to the technical aspects of the product. We decide on important things like agreement details and when to start, getting ready to build the product.

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Curious about our reliability?

53 Clutch reviews from verified clients worldwide

4.8 average referral rating

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Our client retention rate says it all: 80% choose to work with us again on their new digital projects.

Reality check: what clients think about us

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We really like that we have a partnerwho deeply understands the challenge 
Norbert BaumannTechnical Innovation Lead, Sonnen, Germany
Explore case studies

See why clients like you find exceptional value with us

Long story short: we consistently deliver and deeply value our relationships with other companies. Whether we are working on an innovative AI product or a beautiful and functional design, our value is based on the same pillars

Our team is your team

Simple as that - our teams are entirely focused on delivering value and solving your challenges. They treat your product as their own, having the same goals as you. From the very first meeting, to the final release, we are the team, together.

1

Your business is in our minds

Our developer cares about the whole product, not just the code. Our designer thinks about the users more than just making things look nice. The QA engineer looks at the benefits, not just finding mistakes. Every choice we make is business driven.

2

We live by the code

We implemented our own Service Standards, which are a set of rules and best practices that we follow in every collaboration. This is our guarantee that you will get the best possible customer experience and the most effective business results.

3

Technology is our thing

We first look at the problem you want to fix. Then, we pick the best tech for your product and blend it with the best suited AI-based technology. Each team includes a Tech Lead, an all- round role that focuses on integrating technology solutions into business contexts.

4

Commitment from the first contact

While others focus on selling their developers, we focus on understanding your needs. That’s why during our first call, you will discuss your idea with our developer and business analyst. Expect to be challenged!

5

We value partnerships

We play with open cards and practice radical transparency. We do this because we care about long-term collaborations, and these require honesty. If you think the same way, then we have a match!

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FAQ

Solve your doubts

Q1: How much do AI software development services cost?

The answer is not straightforward. AI development costs depend on various factors. Key considerations include the scope of the work, the specific AI-based tools that will be used, and the amount of data your product requires. Additional costs arise from the estimated delivery time of the solution, the tools needed for its maintenance, and your marketing strategy.

AI development costs can be significantly reduced or constrained if you adopt the Lean Startup approach. We’ve grounded our philosophy and approach in this methodology, ensuring that we can assist you in achieving the most cost-effective solution possible.

Q2: What types of applications can be built using AI software development?

AI offers a wide range of application opportunities across multiple sectors. In healthcare, AI tools can assist in medical image analysis and disease prediction. For finance, AI systems can identify fraudulent activities and power robo-advisors for investment guidance. E-commerce platforms use AI to enhance user experiences by suggesting products based on past interactions. In transportation, AI aids in developing autonomous vehicle systems that process environmental data for safe navigation. Virtual assistants, such as Siri or Alexa, leverage AI to process and respond to user commands. Content platforms, like Netflix, implement AI to curate content recommendations tailored to user preferences.

The manufacturing sector employs AI to predict machinery maintenance needs, and in agriculture, AI tools monitor crop conditions and forecast potential issues. AI chatbots in customer service can provide immediate responses to user queries. In security, facial recognition systems powered by AI offer enhanced identification methods. Additionally, real-time translation tools utilize AI to facilitate communication across different languages. In essence, AI’s versatility supports the creation of applications that can optimize and innovate processes across various industries.

Q3: How will AI impact the speed of product development time to market?

AI is set to significantly accelerate product development and reduce time to market. Firstly, AI can analyze vast amounts of data rapidly, providing insights that help in early decision-making and idea validation. This means companies can quickly determine if a concept is viable, saving time in the initial stages. AI-powered simulation tools can model how a product will perform, reducing the need for multiple physical prototypes and iterative testing. This not only expedites the development phase but also optimizes resource allocation.

Furthermore, AI can automate routine tasks in the design and development processes, ensuring precision and consistency while freeing up human resources for more complex tasks. In supply chain management, AI’s predictive analytics can anticipate production needs, streamline inventory management, and optimize delivery routes, further reducing lead times.

For customer feedback, AI-driven sentiment analysis tools can swiftly gather and analyze consumer reactions from various platforms, allowing for rapid product adjustments pre-launch. Lastly, with AI’s help in marketing strategies, targeting potential customers becomes more efficient, ensuring a successful product launch.

In sum, AI’s capabilities are poised to streamline various stages of product development, enabling faster, data-driven decisions and a swifter route to market.

Q4: How is AI used for data-driven decision-making? (np. forecast business metrics, predictive analytics)

AI plays a pivotal role in data-driven decision-making across industries.

Central to its application is predictive analytics, where AI processes historical data to forecast key business metrics such as sales trends, inventory needs, or customer retention rates. These forecasts facilitate informed strategic planning. Additionally, AI excels in real-time data analysis, crucial for sectors like finance and e-commerce, where immediate insights can guide rapid adjustments. Another significant AI application is Natural Language Processing (NLP), which sifts through unstructured data, like customer feedback or social media content, extracting vital insights that can influence business strategies. Moreover, AI’s advanced algorithms can identify subtle patterns in data, aiding in tasks like financial anomaly detection or market shift anticipation. With automated reporting capabilities, AI ensures that decision-makers have timely and relevant data at their fingertips.

Collectively, AI tools empower businesses to make decisions anchored in robust data, enhancing adaptability and precision in ever-evolving markets.

Q5: How is AI used for customer service? (np. chatbots, virtual assistants)

AI has transformed customer service, enhancing efficiency and personalization.

Primarily, chatbots, powered by AI, are now commonplace on websites and applications, providing instant responses to customer queries. These chatbots efficiently handle multiple inquiries in real-time, reducing wait times and enhancing user experience. Additionally, virtual assistants, like Siri and Alexa, have become integral tools for users. Beyond answering questions, they facilitate tasks, manage devices, and offer voice-activated functionalities. AI’s role extends to predictive analytics, enabling platforms to anticipate user needs and offer tailored solutions, thus personalizing the customer experience. In the realm of email support, AI can categorize incoming emails by urgency or topic and suggest potential responses, expediting the support process. Voice recognition technology, another AI application, is utilized in phone support systems to understand user intent, ensuring effective call routing. Furthermore, the integration of Natural Language Processing (NLP) allows for more natural conversations, while real-time translation tools overcome language barriers, making customer service universally accessible.

In essence, AI’s infusion in customer service has led to faster, more personalized, and efficient user interactions.

Q6: How is AI used for finance operations? (np. automate operations, ensure compliance)

AI has significantly revamped finance operations, enhancing efficiency and precision.

A primary application is automation, where AI streamlines routine tasks such as data entry, invoice processing, and basic accounting. This automation reduces manual errors and enhances operational efficiency. AI’s capability to swiftly analyze vast data sets is instrumental in fraud detection, allowing financial institutions to spot and counteract suspicious activities promptly. Beyond this, AI aids in forecasting financial risks by analyzing historical data and market patterns, providing businesses with insights for better decision-making. In the trading sector, AI’s real-time data analysis facilitates swift and informed investment decisions. Additionally, personal financial management tools harness AI to assess individual spending patterns, offering tailored budgeting advice or automated savings plans. The credit evaluation process is also enriched by AI, using a broader data spectrum to determine creditworthiness. Compliance, a critical aspect of finance, benefits from AI systems that identify non-compliance and ensure adherence to financial regulations. These systems also ease the creation of regulatory reports.

In summary, AI’s integration into finance enhances precision, efficiency, and compliance, enabling a more proactive and informed approach to financial operations.

Read about our experience with AI product development

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business-consultant

Olivier Halupczok

Generative AI Engineer