DevicoAI
Сustom AI development company

AI solutions
development services

How can integrating AI benefit my business?

Custom AI solutions impact on business

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Automate complex processes
Custom AI solutions automate repetitive tasks freeing up your team to focus on higher-value assignments.
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Improve decision-making
By analyzing vast amounts of data, AI solutions offer valuable insights that drive informed business decisions.
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Boost customer engagement
Custom AI personalizes interactions to help provide real-time support and guarantee customer satisfaction and loyalty.
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Drive operational efficiency
AI solutions streamline operations by reducing errors and resource usage optimization to promote growth and overcome challenges.

Why choose Devico
for сustom AI development services

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High Retention Rate

96%

Our dedicated team ensures consistent support and expertise, significantly above the industry average of 80%.
Wide Expert Network

3000

Access to over 3000 engineers and AI experts.
Proven Track Record

500,000

Over 500,000 man-days successfully delivered.
24/7 Support:

24/7

Highly experienced management team available around the clock.

Open new AI horizons

Reach AI excellence with our tailored development strategy

Custom AI development services we provide

We use our 15-year proven development process:
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    Discovery: Identify key problems where AI can make a measurable impact.
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    Proof of Concept: Develop small-scale prototypes to test ideas.
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    Development: Build scalable AI solutions based on tested concepts.
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    Deployment: Integrate AI into your operations with minimal disruption.
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    Iteration: Monitor performance and refine the solution for optimal results.
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    Recommending suitable AI technology providers from industry leaders such as Azure, AWS, and Google Cloud.
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    Assessing the suitability of on-premise versus off-premise solutions based on your specific requirements, data compliance, legal and governance needs.
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    Designing a robust and scalable AI architecture to seamlessly integrate with your existing systems.
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    Ensuring compliance with industry standards and company security protocols.
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Our dedicated process automation team will run through:
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    Discovery: Identify areas where automation can create meaningful impact and reduce manual workloads.
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    Design: Develop solutions that integrate seamlessly into your workflows, tailored to your unique needs.
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    Implementation: Deploy automation tools with minimal disruption, ensuring smooth adoption.
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    Optimisation: Continuously refine systems to improve performance and adapt to changing demands.
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    Support: Provide ongoing monitoring and updates to keep automation systems efficient and aligned with your goals.
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    Iteration: Monitor performance and refine the solution for optimal results.
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Our platform engineering teams process will:
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    Requirement Gathering: Collaborate with your teams to define the platform’s purpose and objectives.
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    Architecture Design: Develop a system that supports your data pipelines, model training, and operational workflows.
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    Development: Build a platform that balances usability, performance, and adaptability.
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    Integration: Seamlessly connect the platform with your existing systems to streamline operations.
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    Scaling and Maintenance: Provide ongoing support to refine and expand the platform as your needs evolve.
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    Planning and project management to oversee the entire implementation process.
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    Integration of AI solutions with your existing IT infrastructure.
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    Implementing data migration strategies to ensure data integrity and minimal disruption.
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    Training and supporting your team to ensure successful adoption and utilization of new AI technologies.
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Industry-specific AI development

Healthcare
AI is driving change in healthcare, from advanced diagnostics to personalised treatments. By processing complex datasets quickly, it helps medical professionals achieve faster, more accurate results.

Robotic surgery systems now use AI to guide precision operations, reducing complications and recovery times.
Use cases:
  • Advanced imaging for early disease detection
  • Customised treatment plans based on individual health profiles
  • Predictive analytics for resource allocation in hospitals
Finance and insurance
The finance and insurance industries benefit from AI’s ability to detect anomalies, assess risks, and streamline their operations. AI-powered tools adapt to evolving threats and provide real-time insights for decision-making.

Transaction monitoring systems identify potential fraud with accuracy, helping institutions reduce losses.
Use cases:
  • Fraud detection through pattern recognition
  • Developing risk models for credit assessments and underwriting
  • Segmenting customers to deliver personalised financial products
Retail
AI is transforming retail by aligning supply and demand, improving customer experiences, and optimising inventory. Its ability to analyse purchasing behaviour leads to more targeted and relevant shopping experiences.

Retailers are using AI systems to help predict demand and manage stock, ensuring products are available when customers need them.
Use cases:
  • Virtual assistants for guiding customers online
  • Real-time pricing models that adapt to market trends
  • Accurate inventory planning to reduce waste
Manufacturing
In manufacturing, AI improves efficiency by automating repetitive tasks and identifying potential issues before they disrupt production. These technologies also optimise workflows, reducing waste and downtime.

For example, visual inspection systems powered by AI catch defects on production lines faster and more consistently than manual checks.
Use cases:
  • Anticipating equipment failures with predictive maintenance
  • Automated assembly processes for complex manufacturing tasks
  • Improving supply chain logistics for better cost efficiency

AI you can count on

Confidence at every prompt - AI development by reliable partner

Сustom AI development process

Step 1
Assessment and analysis
Analyzing needs and requirements to develop an approach specifically for your business.
Step 2
Design and customization
Designing AI solutions to handle specific tasks and seamlessly align with requirements and user experience standards.
Step 3
Technical implementation
Integrating AI with the company's existing systems, ensuring a smooth deployment across all channels.
Step 4
Training and AI model development
Developing and training AI models to better understand and respond accurately to users' queries.
Step 5
Testing and quality assurance
Conduct extensive testing to ensure AI functionality and user-friendliness under various scenarios, followed by necessary refinements.
Step 6
Ongoing support and optimization
Providing continuous support and optimization to resolve issues and update systems to ensure custom AI continues to deliver exceptional results.

Technologies we use

Microsoft Azure

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Azure machine learning: Comprehensive service for building and deploying machine learning models.
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Cognitive Services: Suite of pre-built AI services including vision, speech, language, and decision-making.
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Azure Bot Service: Platform for building and deploying chatbots.
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Azure OpenAI Service: Access to OpenAI's powerful language models.

IBM Cloud

IBM Watson: AI services for various applications.
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Watson Studio: Integrated environment for data scientists, application developers, and subject matter experts.
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Watson Assistant: Conversational AI for building chatbots.
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Watson Natural Language Understanding: LP and text analysis.
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Watson Visual Recognition: Image analysis.

Snowflake

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Snowflake Data Marketplace: Integration with various AI/ML platforms.
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Watson Assistant: Conversational AI for building chatbots.
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Watson Natural Language Understanding: LP and text analysis.
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Third-Party Integrations: Partnerships with DataRobot, H2O.ai, and other machine learning tools for advanced analytics and AI.

Amazon Web Services

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Amazon SageMaker: Comprehensive machine learning service.
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AWS Deep Learning AMIs: Preconfigured environments for deep learning.
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Amazon Lex: Service for building conversational interfaces and chatbots.
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Amazon Rekognition: Image and video analysis.
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Amazon Comprehend: Natural language processing (NLP) and text analysis.

Google Cloud Platform

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AI Platform: End-to-end platform for building, deploying, and managing machine learning models.
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AutoML: Tools for building custom machine learning models with minimal coding.
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TensorFlow: Open-source machine learning framework.
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Vertex AI: Unified AI platform for developing and deploying machine learning models.
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Dialogflow: Natural language understanding and chatbots.
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Cloud Vision API: Image analysis.
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Natural Language API: NLP and text analysis.

Get in touch

Drop us a line about your project and we will contact you within a business day
Our locations
New York
HQ

521 Fifth Ave, NY 10175

+1 805 491 9331
London
Sales

9 Brighton Terrace, SW9 8DJ

+44 1922 214429
Warsaw
R&D

Towarowa 28, 00-847

info@devico.io
Lviv
R&D

Uhorska str. 14, 79034

info@devico.io

Questions & answers

General
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Why should we choose Devico as a partner for AI development over competitors?
Devico’s approach is built on understanding your specific business needs and providing tailored AI solutions that integrate seamlessly into your operations. Our focus on practical, measurable outcomes helps ensure that our AI solutions are aligned with your strategic goals.
The cost depends on the complexity of the project, the technologies involved, and the scope of the solution. We offer tailored pricing based on your needs and goals to ensure you get the best value for your investment.
We develop a range of AI solutions, including machine learning models, natural language processing systems, computer vision applications, automation tools, and data analytics solutions, all designed to meet your specific business challenges.
Yes, we work closely with your internal teams to integrate our AI solutions into your existing infrastructure and ensure that the transition is smooth and efficient.
To begin, we need an understanding of your business objectives, access to relevant data, and any system specifications necessary for integration.
Yes, we specialise in integrating AI solutions with existing systems to enhance their functionality and performance.
Absolutely. We can review and optimize your current AI systems, applying the latest advancements to improve performance, scalability, and accuracy.
Yes, we offer comprehensive training to ensure your team is equipped to manage and maintain the AI solutions effectively.
The timeline depends on the complexity and scope of the project. On average, custom AI development can take anywhere from a few weeks to several months.
Yes, we provide ongoing support and maintenance to ensure that the AI solution continues to meet your business needs and adapts to any new challenges.
We implement industry-standard data security protocols, including encryption, secure access controls, and compliance with relevant data privacy regulations such as GDPR.
We use a variety of programming languages including Python, Java, and R, and frameworks like TensorFlow, PyTorch, and Scikit-learn to build and deploy AI solutions.
We follow strict compliance protocols throughout the AI development process, including data anonymisation, secure storage, and regular audits to maintain compliance with industry standards and regulatory requirements.