Ftech-it team has been building AI solutions for over 5 years - long before the current hype cycle. We combine strong engineering skills with deep ML expertise: from designing and training custom models to integrating production-ready AI systems into real business workflows.
We bring this expertise to your business to help you move faster, operate more efficiently, reduce manual workload, and turn AI into measurable operational and product value
Let’s turn AI into your business advantage
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EU-based (Poland) legal entity
Transparent contracts
Customizable NDA
Clear IP ownership terms
Liability insurance (CGL) up to PLN 1,000,000
EU-based (Poland) legal entity
Transparent contracts
Customizable NDA
Clear IP ownership terms
Liability insurance (CGL) up to PLN 1,000,000
EU-based (Poland) legal entity
Transparent contracts
Customizable NDA
Clear IP ownership terms
Liability insurance (CGL) up to PLN 1,000,000
EU-based (Poland) legal entity
Transparent contracts
Customizable NDA
Clear IP ownership terms
Liability insurance (CGL) up to PLN 1,000,000
EU-based (Poland) legal entity
Transparent contracts
Customizable NDA
Clear IP ownership terms
Liability insurance (CGL) up to PLN 1,000,000
What AI Can Do for Your Business Today
Productivity growth
AI significantly increases productivity. Work that previously took weeks can now be completed in days, sometimes in hours. By automating routine tasks and accelerating prototyping, AI allows teams to focus on higher-value work and faster decision-making.
Process automation
AI already automates a wide range of business processes today. Computer vision systems support quality inspection in manufacturing, LLM-powered agents automate support workflows in contact centers, and AI-powered analytics systems make operations more transparent, measurable, and easier to manage.
Cost efficiency
Productivity growth and process automation naturally lead to better cost efficiency. AI helps businesses reduce manual effort, increase output, and accomplish more in the same amount of time without proportional growth in operational costs.
New product value
AI functionality can add entirely new value to your product - or even become a new product itself.Take ChatGPT, Gemini, Perplexity, or Claude - AI products used by millions of people worldwide. For your business, the same approach can be applied through practical AI features built around real user needs.
The Power of AI-Core Mid-Sized Companies
In today’s AI landscape, speed and adaptability matter as much as scale. That is why AI-first mid-sized companies like Ftech-it can often deliver high-quality solutions faster and more cost-efficiently than large outsourcing vendors.
We take responsibility for the full delivery cycle: from discovery and planning to development, launch, and ongoing support. The same team stays with your project from discovery to delivery
Focused
Technology
Expertise
AI is our core specialization. Deep hands-on experience in building and deploying AI systems, combined with strong software engineering, enables us to deliver robust solutions that create measurable impact.
Cost-Efficient
Delivery
Our experience in AI delivery helps us choose the right approach and keep costs under control. Performance-driven delivery and the right model choice reduce rework and optimize total delivery cost.
Transparent
Delivery Process
Discovery, design, development, testing, release, and support — delivered through a clear process with defined milestones, regular updates, and visible progress, helping reduce delivery risks at every stage.
English-Speaking
Developers & Time Zone Overlap
Our Europe-based developers speak English and work with maximum overlap with your time zone for efficient day-to-day collaboration.
World-Class AI
Experience
All our software developers apply AI in their work, delivering higher productivity without compromising engineering quality. In addition, Ftech-it provides access to AI engineers with world-class expertise in building and deploying AI solutions.
Trusted by US
& EU Clients
5.0 rating on Clutch, based on verified reviews from US and European clients highlighting delivery reliability, responsiveness, and engineering quality
Our projects are delivered by experienced AI-engineers, with senior-level ownership across architecture, implementation, and quality control.
EU-based (Poland) legal entity
Transparent contracts
Customizable NDA
Clear IP ownership terms
Liability insurance (CGL) up to PLN 1,000,000
EU-based (Poland) legal entity
Transparent contracts
Customizable NDA
Clear IP ownership terms
Liability insurance (CGL) up to PLN 1,000,000
EU-based (Poland) legal entity
Transparent contracts
Customizable NDA
Clear IP ownership terms
Liability insurance (CGL) up to PLN 1,000,000
EU-based (Poland) legal entity
Transparent contracts
Customizable NDA
Clear IP ownership terms
Liability insurance (CGL) up to PLN 1,000,000
EU-based (Poland) legal entity
Transparent contracts
Customizable NDA
Clear IP ownership terms
Liability insurance (CGL) up to PLN 1,000,000
Our AI Solutions Development process
Step 2
Architecture & Risk Controls
We audit data/knowledge, run a rapid baseline (prompt/RAG or classic ML), and choose the optimal strategy: RAG, fine-tuning (LoRA), or custom training — to balance quality, cost, latency, and compliance.
Step 4
Feasibility & Approach Selection
We choose the right approach: predictive ML/DL, RAG, fine-tuning, or agentic workflows; design interfaces, security/PII handling, and guardrails.
Quality evaluation on curated test-set + regression tests for prompts/flows; RAG metrics likefaithfulness andanswer relevance.
Step 8
Post-Launch Monitoring & Continuous Improvement
ML/DL:feature skew & drift, model quality, scheduled retraining/rollback when metrics degrade. LLM:tracing/observability (cost, latency, errors), retrieval quality, hallucination/grounding issues, user feedback loops. For LLM apps tracing is critical because outputs are non-deterministic and debugging is harder without end-to-end traces.
Step 3
Discovery &Success Metrics
We map your business goals and technical constraints, then shape a lean delivery scope, roadmap, and estimate for timeline and budget.
Step 7
Deployment & Automation
CI/CD, Infrastructure as code, scalable serving, and automated pipelines (Airflow/Prefect/etc). For ML systems we also set up monitoring jobs and alerting; the major clouds support drift/skew monitoring and quality monitoring
Step 5
Deployment
Predictive ML & DL
Data preparation & labeling → feature pipeline → model training & tuning → experiment tracking + model registry → packaging for inference
LLM / RAG / Agents
Prompting + workflow (LangGraph: stateful/long-running, HITL) → RAG pipeline (chunking → embeddings → vector DB → rerank) →(Optional) Domain adaptation: SFT / LoRA / QLoRA→ hardening (guardrails, retries, tools, approvals). LangGraph is often used specifically forlong-running, stateful agentsandhuman-in-the-loopcontrol
Step 1
Discovery &Success Metrics
We map your business goals and technical constraints, then shape a lean delivery scope, roadmap, and estimate for timeline and budget.
Step 1
Discovery &Success Metrics
We map your business goals and technical constraints, then shape a lean delivery scope, roadmap, and estimate for timeline and budget.
Step 2
Feasibility & Approach Selection
We audit data/knowledge, run a rapid baseline (prompt/RAG or classic ML), and choose the optimal strategy: RAG, fine-tuning (LoRA), or custom training— to balance quality, cost, latency, and compliance.
Step 3
Data / Knowledge Audit
ML/DL:data availability, labels, leakage risks, feature feasibility, baseline dataset. LLM:knowledge sources (docs, tickets, databases), permissions, update frequency, and what must be grounded vs can be generated.
Step 4
Architecture & Risk Controls
We choose the right approach: predictive ML/DL, RAG, fine-tuning, or agentic workflows; design interfaces, security/PII handling, and guardrails.
Step 5
Deployment
Predictive ML & DL
Data preparation & labeling → feature pipeline → model training & tuning → experiment tracking + model registry → packaging for inference
LLM / RAG / Agents
Prompting + workflow (LangGraph: stateful/long-running, HITL) → RAG pipeline (chunking → embeddings → vector DB → rerank) →(Optional) Domain adaptation: SFT / LoRA / QLoRA→ hardening (guardrails, retries, tools, approvals). LangGraph is often used specifically forlong-running, stateful agentsandhuman-in-the-loopcontrol
Quality evaluation on curated test-set + regression tests for prompts/flows; RAG metrics likefaithfulness andanswer relevance.
Step 7
Deployment & Automation
CI/CD, Infrastructure as code, scalable serving, and automated pipelines (Airflow/Prefect/etc). For ML systems we also set up monitoring jobs and alerting; the major clouds support drift/skew monitoring and quality monitoring
Step 8
Post-Launch Monitoring & Continuous Improvement
ML/DL:feature skew & drift, model quality, scheduled retraining/rollback when metrics degrade. LLM:tracing/observability (cost, latency, errors), retrieval quality, hallucination/grounding issues, user feedback loops. For LLM apps tracing is critical because outputs are non-deterministic and debugging is harder without end-to-end traces.
We are proud to be AI creators, not just AI tool users. At Ftech-it, all our AI specialists are engineers with strong mathematical foundations and solid academic knowledge of classical machine learning. We understand how ML models work, how they are trained, and how to build custom models from the ground up when a business case requires it.
Most importantly, we know how to turn this expertise into practical solutions that create real business value.
Vlad Medvedev
Lead of AI/ML
Pricing Models
For Custom AI Solutions Development, Ftech-it offers two pricing models: Fixed Price and Time & Materials.Fixed Price works best when the scope, requirements, and deliverables are clearly defined upfront. Time & Materials is a more flexible model that allows the scope and priorities to evolve as the project moves forward.
Fixed Price
A Fixed Price project starts with a clearly defined and agreed scope before development begins. Based on that scope, we set the timeline, break the work into stages, and execute against a structured delivery plan. The total project cost is agreed upfront, and you pay fixed, pre-agreed amounts for clearly defined stages of functionality, with a predictable result defined in advance.
Time & Materials
A Time & Materials model is a more flexible setup where you pay for the actual hours worked, plus any agreed additional costs. At the start of the project, we align on the initial scope and agree on hourly rates for the team. At the end of each month, you pay for the hours actually delivered. This model gives you more flexibility during delivery: you can change scope, replace one feature with another, or start a new module as your priorities evolve. It helps move faster and implement ideas without delays.
Ftech-it specialists will help you choose the pricing model that best fits your project and delivery goals. To make the differences easier to compare, we’ve prepared a chart that clearly shows the key characteristics of each model.
Fix price
Time and Materials
Project requirements
Clear, detailed requirements and agreed scope upfront
Flexible or unclear requirements are okay; scope can shift as the project progresses
Pricing and payment
Fixed total project cost, agreed upfront. Paid by milestones or in full
Based on hourly rates and materials used. Paid monthly for actual hours worked
Scope of work
Highly rigid; scope changes during delivery usually require re-scoping and additional approval extras
Highly flexible; scope can be adjusted during delivery as priorities evolve
Project timeframe
Usually fixed, but scope changes may affect timeline and cost
Flexible for changing priorities and unexpected tasks
Client involvement
Typically lower after scope and plan are approved, unless changes are introduced
Ongoing collaboration is important; client feedback continuously guides delivery
What Clients Say About Ftech-it
The speed at which they provide specialists is just amazing.
Polina Shuruba
IT Recruitment Team Lead
5.0
What I found really impressive was the expertise of their team lead, Vlad
Ivan Zaenchukovski
Senior Account Manager
5.0
They are passionate about what they do
Vladimir Bulashov
Head of Partnerships Department
5.0
It's genuinely refreshing to work with a team that prioritizes partnership and adapts so readily
Alyona Mykhailovyn
HR Director
5.0
The team we had available is always quick, energetic, full of ideas, and always willing to open new horizons
Alex Mokievets
CBDO
5.0
They asked the uncomfortable questions, challenged our logic, and helped us simplify where we were overengineering
Natallia Radzivilava
Partnership Manager
5.0
Their depth in computer vision was beyond our expectations
Denis Gerasimov
CBDMO
5.0
The most impressive was the low rates and great quality of work!
Maryna Pashkouskaya
Partnership Manager
5.0
They were always online and solved everything quickly
Julia Zakharik
Deputy Director, Global Certification
5.0
They're very skilled and highly motivated and reliable developers who really know what they do
Balint Tatai
Product Owner
5.0
I was particularly impressed by their professionalism and unwavering commitment to delivering high-quality software solutions
Vincenzo Nuzzo
CEO
5.0
We're impressed by the close communication
Hleb Skuratau
CEO
5.0
The speed at which they provide specialists is just amazing.
Polina Shuruba
IT Recruitment Team Lead
5.0
What I found really impressive was the expertise of their team lead, Vlad
Ivan Zaenchukovski
Senior Account Manager
5.0
They are passionate about what they do
Vladimir Bulashov
Head of Partnerships Department
5.0
It's genuinely refreshing to work with a team that prioritizes partnership and adapts so readily
Alyona Mykhailovyn
HR Director
5.0
The team we had available is always quick, energetic, full of ideas, and always willing to open new horizons
Alex Mokievets
CBDO
5.0
They asked the uncomfortable questions, challenged our logic, and helped us simplify where we were overengineering
Natallia Radzivilava
Partnership Manager
5.0
Their depth in computer vision was beyond our expectations
Denis Gerasimov
CBDMO
5.0
The most impressive was the low rates and great quality of work!
Maryna Pashkouskaya
Partnership Manager
5.0
They were always online and solved everything quickly
Julia Zakharik
Deputy Director, Global Certification
5.0
They're very skilled and highly motivated and reliable developers who really know what they do
Balint Tatai
Product Owner
5.0
I was particularly impressed by their professionalism and unwavering commitment to delivering high-quality software solutions
Vincenzo Nuzzo
CEO
5.0
We're impressed by the close communication
Hleb Skuratau
CEO
5.0
The speed at which they provide specialists is just amazing.
Polina Shuruba
IT Recruitment Team Lead
5.0
What I found really impressive was the expertise of their team lead, Vlad
Ivan Zaenchukovski
Senior Account Manager
5.0
They are passionate about what they do
Vladimir Bulashov
Head of Partnerships Department
5.0
It's genuinely refreshing to work with a team that prioritizes partnership and adapts so readily
Alyona Mykhailovyn
HR Director
5.0
The team we had available is always quick, energetic, full of ideas, and always willing to open new horizons
Alex Mokievets
CBDO
5.0
They asked the uncomfortable questions, challenged our logic, and helped us simplify where we were overengineering
Natallia Radzivilava
Partnership Manager
5.0
Their depth in computer vision was beyond our expectations
Denis Gerasimov
CBDMO
5.0
The most impressive was the low rates and great quality of work!
Maryna Pashkouskaya
Partnership Manager
5.0
They were always online and solved everything quickly
Julia Zakharik
Deputy Director, Global Certification
5.0
They're very skilled and highly motivated and reliable developers who really know what they do
Balint Tatai
Product Owner
5.0
I was particularly impressed by their professionalism and unwavering commitment to delivering high-quality software solutions