Сustom AI development company

AI software
development services

With Devico, you’re not experimenting – you’re executing

Custom AI solutions impact on business

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Do less. Achieve more.

Let AI handle the repetitive. Your team can now focus on what actually moves the needle.

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See the signal. Not the noise.

AI cuts through the chaos. It turns your data into decisions – fast, accurate, and confident.

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Make every customer feel unique.

Real-time, personalized experiences. That’s how loyalty is built – and scaled.

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Precision at every level.

AI doesn’t just make things faster. It makes them smarter, leaner, and ready to grow.

Why choose Devico
for сustom AI development services

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High retention rate

96%

We go beyond the 80% industry norm with reliable, expert support.

Wide expert network

3000

Access to over 3000 engineers and AI experts.

Proven track record

500,000

Over 500,000 man-days successfully delivered.

Support

24/7

Highly experienced management team available around the clock.

Custom AI, done right

Reach AI excellence through custom-built solutions that solve real problems

Custom AI development services we provide

How we deliver:

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    Discovery. Identify high-impact use cases

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    Proof of Concept. Build fast prototypes to validate ideas.

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    Development. Scale into production-ready systems.

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    Deployment. Seamlessly integrate into your operations.

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    Iteration. Monitor, improve, and evolve continuously.

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    Platform selection. AWS, Azure, Google Cloud, or on-prem.

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    Architecture design. Seamless, scalable, secure.

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    Compliance & security. Built to meet legal and industry standards.

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    Ecosystem alignment. Works with your current systems, not against them.

How we deliver:

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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.

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.

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 & 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 in every decision. Trust in every line of code.

Сustom AI development process

Step 1

Understand first

We listen, ask, and analyze. No assumptions. Just a clear picture of what your business truly needs.

Step 2

Design with intent

Every solution is tailored – built to solve real problems, align with your systems, and feel invisible to the user.

Step 3

Build it in

We don’t bolt AI on. We integrate it – seamlessly, across every channel, every touchpoint.

Step 4

Train for real life

Your AI learns from the data that matters. It understands. It adapts. It gets better – fast.

Step 5

Test like it matters

We stress-test every edge case. What works stays. What doesn’t, we fix. No shortcuts. No surprises.

Step 6

Improve endlessly

We stay with you. Supporting. Optimizing. Updating. Because great AI never stands still.

Technologies we use for AI development

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.

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

We don’t just prototype, we build scalable, production-grade AI systems. As a seasoned AI software development company, Devico combines deep tech expertise with a product mindset to deliver solutions that work in the real world, not just in demo mode.

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.

We handle the full lifecycle: use case discovery, data strategy, model design and training, API integration, and deployment. Our AI software development services are end-to-end and tailored to your tech stack.

Both. We can fine-tune open models or build from scratch, depending on your goals, data, and budget. As a flexible AI development company, we help you balance performance, cost, and speed.

We work with ML, NLP, computer vision, recommendation systems, predictive analytics, and generative AI, across industries like fintech, retail, healthcare, and manufacturing.

We’re tech-agnostic and support Python, TensorFlow, PyTorch, Hugging Face, OpenAI APIs, cloud platforms (AWS, Azure, GCP), and MLOps tools. Our AI software development company fits into your environment, not the other way around.

Yes. We help source, clean, annotate, and structure data for model training, a critical part of our AI development services. If your data is messy or incomplete, we’ll make it usable.

Absolutely. We design for performance, redundancy, and cost-efficiency, so your AI features are ready for millions of users if needed.

We start with a discovery call to understand your goals, data readiness, and technical environment. Then we propose a roadmap tailored to your needs.

Yes. Many clients begin with a focused MVP to prove value fast, then scale into full AI software development projects.

We offer fixed-scope projects, agile sprints, or long-term team extensions. As a transparent AI development company, we always match pricing to your stage and scope.