Smartificial is an engineering team with 10+ years of building software

We combine scientific discipline with years of hands-on product development to create solutions that make a measurable impact.
About us
Backend, web, mobile, cloud, data and AI in one team. We build new products and take over or modernise the ones you already run
Engineering experience
Our engineers have built backend, web, mobile and data systems for more than a decade.
10+ years
Team at scale
A new project gets its own team, and the projects already running keep theirs.
120+ engineers
We stay hands-on
Some clients have kept us on for more than six years after launch, and we stay for as long as they need us.
6+ years
of support
Across industries
Streaming, healthcare, legal, retail, real estate and more. The engineering carries across
12+ industries

Custom AI Solutions

We design and integrate AI systems that work inside real products and business processes. That can mean building a solution from scratch, integrating existing AI tools into your infrastructure, or extending the systems you already have.
Technologies we work with include:

  • LLM systems & RAG architectures
  • Voice AI and speech processing
  • Predictive and analytical models
  • Data pipelines and AI infrastructure

Engineering Services

We provide full-cycle software development and dedicated engineering teams for companies building digital products.
Our engineering stack includes:

  • Backend systems (.NET, Java, Node.js, Go)
  • Web development (React, Next.js)
  • Mobile applications (Flutter, Android)
  • Cloud infrastructure (AWS, Azure, Kubernetes)
Examples of what we’ve built
Engineering Services
We build web and mobile applications, backend systems and cloud infrastructure, and help teams scale existing platforms or modernise legacy systems.
AI Solutions
Examples of what we've built. Several of these systems we still run.
Our team
We are a team of experienced engineers building NLP, voice and data systems for years. Our work is shaped by a strong engineering culture and guided by a scientific approach.
  • Daniil Krasnoproshin
    Data Scientist & AI/ML Engineer
    Daniil brings a research-driven approach to AI development, focusing on careful data preparation, structured evaluation and a clear understanding of how models behave in production.

    He has extensive experience building NLP and voice systems, RAG-based assistants and full agentic architectures, with a focus on reliability, low latency and cost efficiency in production.
  • Ilya Kislenka
    Founder & CTO
    Ilya is the founder and CTO of the company with over a decade of hands-on engineering and leadership experience.

    For the past five years, he has led delivery and technology management — from early pre-sale discussions to overseeing engineering teams, technical standards and internal infrastructure. He focuses on structure, clarity and building systems that are reliable in production, not just on paper.
  • Gregory Paprauka
    Senior Developer
    Gregory leads core engineering across Smartificial projects. With strong experience in Golang, Java, Node.js and AWS, he oversees technical execution, system architecture and code quality across client solutions.

    All production systems and integrations are built and reviewed under his supervision. His focus is on performance, infrastructure efficiency and ensuring complex systems remain maintainable as they scale.
  • Michael Tavis
    Co-founder and US Partner
    A graduate of Dartmouth College (BA) and Princeton University (MPA), Michael transitioned from Wall Street to a 25 year international career founding and building companies in Eastern Europe.

    Michael is based in Boston, Massachusetts, developing new business for the company and acting as an “always available” liaison between our US clients and Ilya and his technical team.
How we work
We treat every project as an engineering task and build it to keep working long after launch.
01 —
Initial Call
05 —
After Launch
We map the problem, understand the goal and check technical feasibility. If the task is clear, we prepare a proposal within a few days.
Once the system is live, we watch how it behaves, fix what breaks and build what you need next. When you want to take it in-house, we hand it over with the documentation and the context to run it.
02 —
Pre-Cycle (for complex projects)
We run a series of calls with a business analyst. The goal is to fully decompose the product: features, data, workflows, constraints. The analyst then translates everything into a detailed brief for an engineering team.
04 —
Development & Integration
We build the solution end-to-end. The development team integrates the system into the client’s product with minimal disruption.
03 —
Proposal & Planning
We outline the approach, timeline and team, and agree who owns what after launch: code, data, infrastructure and access. Then we start.
What our clients say about us
Most projects begin with a simple conversation. If you have an idea, a bottleneck or a product you want to strengthen, we’re here to explore it with you.

Let’s see what’s possible
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