AI & DS-focused
research & development (R&D) services
Before you build, make sure it’s buildable.
22+
years of IT experience
5+
ears of AI development expertise
150+
in-house employees
AI & DS-focused
Why invest in R&D at all?
R&D helps reduce uncertainty in tech initiatives. It brings clarity before development begins, especially for AI and data-driven products. R&D’s key benefits include:
Who benefits from external R&D and when to consider it
Not every company can maintain a dedicated R&D team. We can cover this gap, offering focused, practical research support exactly when and where it’s needed.
Here are the types of teams we support and the situations where focused R&D can help:
Is your team stuck between ideas and execution?
Our R&D support helps move things forward without adding full-time staff.
How we can help
Strategy & feasibility
We help shape product ideas and validate early concepts through research, discovery sprints, and feasibility analysis.
This helps avoid wasted time and ensures your team focuses on what can actually be built and delivered.
Prototyping & testing
We develop fast, functional prototypes to test core assumptions.
We build and test solutions, from ML model experiments to minimal AI-driven MVPs, in close collaboration with your product or engineering teams.
Consulting & guidance
We support teams with decision-making: from selecting suitable AI models and frameworks to reviewing data readiness, compliance, and market trends.
When needed, we step in as an external expert team to assess ideas or plans already on the table.
Meet our core R&D team
Our research and development consultants have strong technical backgrounds and hands-on experience in AI, product research, and solution delivery.
Depending on your case, we can bring in AI/ML engineers, frontend/backend developers, UI/UX designers, business analysts, and industry-specific experts.
Dmitri
Head of R&D
- Acts as the link between technical teams and your business stakeholders.
- Defines strategy, milestones, and success metrics for the R&D process.
- Coordinates specialists, manages timelines, and ensures the project stays aligned with
both technical feasibility and business priorities.
Viktoryia
Data Science Expert
- Specializes in time series, computer vision, audio processing, LLMs, and transactional data analysis.
- Brings domain knowledge in retail, healthcare, and banking.
- Focuses on delivering accurate, production-ready models.
- Drives R&D experimentation by testing multiple model approaches, assessing results, and recommending the most effective path forward.
Olga
Market & Product Researcher
- Identifies market gaps, competitor activity, and industry benchmarks.
- Validates concepts and supports value proposition design.
- Ensures solutions meet real user needs and market demand.
- Guides R&D direction by grounding technical exploration in verified market opportunities and user expectations.
Artem
Data Science Expert
- Holds an MS in Physics and deep expertise in ML frameworks and deployment tools.
- Designs and leads AI projects in forecasting, NLP, computer vision, and recommendation systems.
- Aligns technical solutions with measurable business improvements.
- Shapes the technical foundation of R&D initiatives by selecting the right algorithms, tools, and architecture to match the project’s research goals.
R&D that turned into real solutions
Here are a few examples of what started as research and are now solving our customers’ real problems.
AI co-pilot for legal teams
We worked with a logistics company’s legal department to automate contract review and risk flagging. The tool handles tasks like vendor questionnaires, clause checks, and NDA screening, cutting review time in half and improving detection of non-standard terms.
- 50% time saved across legal operations
- 90% accuracy in identifying risky clauses
- Up to 60% less time spent on manual checks
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Custom AI certification coach
We helped a global certification provider integrate AI into their learning platform. The assistant offers personalized study plans and instant support, improving both learner engagement
and platform performance.- 89% increase in learner satisfaction
- 27% fewer support tickets
- 32% more completed study plans
![Slide 1: Preview of project 1]()
![Slide 1: Image of project 2]()
AI-based sales forecast solution for a retail company
We developed an AI solution that helps our client, a giant retailer, optimize sales. The tool does behavior analysis and forecasts sales. Key results:
- 7% visitors-to-buyers conversion rate increase
- 15% volume of data collected increase
- 35% monthly infrastructure costs decrease
![Slide 3: Preview of project 1]()
![Slide 3: Image of project 2]()
Consulting and R&D for Text-to-Speech in Education
We helped an LMS platform provider find the best tool for enhancing the learning experience for their students. Our AI team assisted the client with researching the market, evaluating and analyzing existing solutions, and recommending the best strategies for integration.
![Slide 4: Preview of project 1]()
![Slide 4: Image of project 2]()
If this looks like something your team could use, let's talk.
Why choose Aristek
Deep industry experience
We’ve worked with over 15 industries and know how to make AI work in real-world settings.
Expert team
95% of our team holds BS, MSc, or PhDs.
88% are Middle or Senior developers.
Partnerships with AWS and Microsoft
As partners of AWS and Microsoft, we use trusted tools and cloud services that match your project needs.
Data privacy you can count on
We follow strict security practices and industry regulations to keep your data safe.
Clear pricing and timelines
We provide clear estimates, timelines, and next steps; no vague promises or hidden costs.
Ongoing team development
We invest in regular training and growth to keep our specialists sharp and up to date.
How we approach R&D projects
1
Challenge intake (1–2 days)
After the contract and NDA are signed, we will discuss your idea and define the scope within 1-2 days
2
Discovery & ideation (2–4 days)
We explore possible directions, review similar solutions, and identify promising approaches through short internal research.
3
Feasibility check (3–5 days)
We evaluate the data, risks, and technical complexity to assess whether the idea can be built and how.
4
Prototyping (1–3 weeks)
We build a working proof-of-concept or MVP that shows how the solution performs in real conditions.
5
Iteration & validation (3–5 days)
We test the prototype, collect feedback, and assess how well the solution fits your broader goals.
6
Handoff or scale-up (2–3 days)
We deliver documentation, code, and transition plans or continue building if the project moves forward.
We have everything to scale your AI solution beyond R&D
Our broader expertise covers the services you need to move from a proven concept to a fully working product.
Data & AI consulting
We help design, plan, and build custom AI-powered solutions tailored to your business and technical goals.
AI system integration
We connect AI components with your existing platforms, tools, and infrastructure to ensure smooth operation and data flow.
Tech audit
We assess your existing systems, architecture, and codebase to identify strengths, weaknesses, and opportunities for improvement.
Custom AI agent development
We build intelligent agents that handle tasks like support, data processing, and communication within defined workflows.
AI security
We assess and improve the security of AI systems, from model behavior and data risks, to ensure control and compliance.
Dedicated teams
We provide skilled AI, data, and software specialists who work as an extension of your team to deliver results faster.
Have an idea worth testing?
Let’s see if it holds up.