Generative AI & LLM Development Services

We will help you turn AI into a practical tool, from custom assistants and intelligent data search to automated document processing and advanced analytics. Since 2015, our team of 100+ engineers has supported companies across the US and EU in building scalable tech solutions.

Generative AI & LLM Development Services
Optilyz
Buzz Stream
Echelon
Everphone
Fatty15
Flaus
Intentsify
Lucchese
Win
eCatholic
Optilyz
Buzz Stream
Echelon
Everphone
Fatty15
Flaus
Intentsify
Lucchese
Win
eCatholic
Optilyz
Buzz Stream
Echelon
Everphone
Fatty15
Flaus
Intentsify
Lucchese
Win
eCatholic
Abilitie
Dorling Kindersley
Rasa
Fracture
Revival
1rockwell
Humann Fit
zenefits
Abilitie
Dorling Kindersley
Rasa
Fracture
Revival
1rockwell
Humann Fit
zenefits
Abilitie
Dorling Kindersley
Rasa
Fracture
Revival
1rockwell
Humann Fit
zenefits

Generative AI & LLM Solutions

We will turn AI into a practical tool for your business to support daily workflows and customer experiences.
Our engineers design and implement AI-powered systems that work with your existing data sources, platforms, and applications.

ai team
Custom AI & LLM Applications
  • AI assistants and chatbots for employees or customers
  • Domain-specific language model applications
  • AI-powered automation for repetitive processes
RAG & Knowledge Systems
  • Retrieval-Augmented Generation (RAG) pipelines
  • AI search across internal documentation and knowledge bases
  • Assistants connected to company data sources
Document Processing & Automation
  • Automated data extraction from documents
  • Document classification and summarization
  • AI workflows for processing contracts, reports, or invoices
Natural Language Interfaces
  • Conversational interfaces for business platforms
  • Querying databases using natural language
  • AI-powered tools supporting analytics and reporting
AI Integration & Infrastructure
  • Integrating LLM APIs with existing products and platforms
  • Connecting AI systems with data warehouses and pipelines
  • Deployment, monitoring, and scaling of AI solutions
Pipeline and model optimization
  • Conversion to hardware accelerated format, ex: TensorRT
  • Optimizing LLM serving options for customer needs (in vLLM and Nvidia Triton)
  • Quantization
Vision & Speech AI
  • Computer vision for image and video analysis
  • Image recognition and visual data processing
  • Speech transcription and voice-to-text solutions
  • Audio and speech analytics for business applications

We’re your best choice
– backed by data

Our AI & LLM Engineers are your best choice. Here's what makes us so confident:

98%

of our projects come from client referrals

5.0

star rating on Clutch

Expertise in LLM applications, RAG systems, and
production AI deployment

2015

Proven track record with US and EU product
companies since 2015

Transparent communication and flexible
collaboration models

Know-how across the full AI stack, from model
integration to scalable infrastructure

98% Referral, 2% Lucky Finds

Lenny dialog
From Poland wth Dev team in mountains
From Poland wth Dev team in mountains

98% Referral, 2% Lucky Finds

Strong partnerships start with great people. That’s why we work with companies we believe in. We focus on thoughtful growth through quality work. Happy customers spread the word, bringing in like-minded partners. Though if you found us by chance, be like Lenny – say hi if it feels right! 😊

Choose your model

We offer flexible payment options: fixed price, time & materials, dedicated team or on-demand, so you can pick the setup that fits your project and workflow best.

Best if
you’re looking for
long-term FTE & part-time roles
Team Extension
Need to scale your team efficiently? We’ll match you with experts who fit your stack and your culture.
Best if
you have a backlog of tasks
and need steady care
Monthly Retainer
Consistent support with a set monthly budget. You get guaranteed dev time and reliable progress, each month.
Best if
you have a project to
be taken care of from A to Z
End-to-End
You get a dedicated team that turns your idea into a product. We lead the build so you can focus on the big picture.
Best if
you need support for
one-off changes without commitment
On-demand & Maintenance
Have something small or unpredictable? Our experts will handle updates, fixes and changes.

We help you bring Generative AI into your business when you want to…

  • Search and extract insights from internal documents, reports, or knowledge bases
  • Build AI assistants powered by your own product or company data
  • Analyse large volumes of text, images, or customer feedback automatically
  • Add AI-powered features to your product or move to a production-ready architecture

…and more – let's talk about your needs!

ai team

AI Project Spotlight

ShareTheBoard

EdTech
Assistive Tools
Accessibility Technology
Collaboration Tools

An AI-powered platform that enhances, securely stores, transcribes, and contextually analyzes handwritten content from whiteboards or any writing surface, while enabling live streaming in remote, hybrid and in-person environments.

share the board case study

What Problem Does This AI Solve?

  • Poor legibility of whiteboard content, especially for students sitting further away or with visual impairments
  • Limited interactivity for remote participants and individuals with mobility challenges
  • Lack of effective ways to capture, revisit, and process fast-paced handwritten content
  • Accessibility gaps for students with ADHD, dyslexia, or vision loss

What AI / LLM Technology Is Used?

  • LLM models used (e.g. OpenAI, open-source models): Custom model, OpenAI
  • Real-time computer vision pipeline combining semantic segmentation, handwriting detection, and edge inference—deployed via both a browser-based solution and a Windows desktop application, with AI-assisted transcription and contextual processing
  • Data pipelines or ML components: Custom training pipelines for board detection, handwriting extraction, and enhancement models, with multiple optimized model variants tailored to different hardware configurations (edge devices, office-grade PCs, low-spec environments (1080p cameras etc.))
  • Tools / frameworks used: PyTroch, tensorflow, mlflow
share the board case study

What We Built

  • A real-time AI system that detects, digitizes, and enhances handwritten content from any whiteboard or writing surface
  • A flexible platform available both in-browser and as a Windows desktop application, designed to run on a wide range of hardware: from low-cost, older PCs and basic cameras to high-performance, AI-ready devices
  • A companion mobile solution, Stash, enabling users to capture a single frame of a board and apply the same enhancement, transcription, and accessibility features typically available in full sessions

Key Capabilities

  • Real-time handwriting detection and enhancement (like 800% zoom) for maximum clarity and readability
  • “Rewind the board” functionality: users can control pace and revisit content during and after sessions
  • Automatic transcription into structured, editable digital text, with intelligent visualization as charts, tables, and properly formatted mathematical notation (LaTeX)
  • Live annotation and collaboration from anywhere (remote or in-room)
  • Screen reader compatibility, enabling even visually impaired users to “hear” the board

Impact / Results

  • Equalized learning experience regardless of seating position or physical ability
  • Increased engagement and comprehension in hybrid and remote classrooms
  • Improved accessibility for ~20% of students with learning differences
  • Reduced need for expensive AV infrastructure and manual note-taking
Our Tech Stack & Expertise
OpenAI API, open-source LLMs (e.g. Llama, Mistral) over vLLM and Nvidia Triton, LangChain or similar orchestration frameworks, prompt engineering and model evaluation tools
openai logo
OpenAI
meta logo
Llama
mistral logo
Mistral
python logo
Python
aws logo
AWS
azure logo
Azure
google cloud logo
Google Cloud
vector databases for semantic search, retrieval pipelines connecting AI to company data, embeddings and similarity search systems
openai logo
OpenAI
meta logo
Llama
mistral logo
Mistral
python logo
Python
aws logo
AWS
azure logo
Azure
google cloud logo
Google Cloud
Python-based ML pipelines, data preprocessing and model training workflows, analytics and model evaluation
openai logo
OpenAI
meta logo
Llama
mistral logo
Mistral
python logo
Python
aws logo
AWS
azure logo
Azure
google cloud logo
Google Cloud
AWS / Azure / GCP environments, containerized AI services, scalable APIs and monitoring infrastructure
openai logo
OpenAI
meta logo
Llama
mistral logo
Mistral
python logo
Python
aws logo
AWS
azure logo
Azure
google cloud logo
Google Cloud

Get to know us

Our software agency was established in 2015 by two cousins, Paweł and Marcin. What started out as a team of 5 quickly scaled to 100+ people across technologies and locations on a mission to shift the mentality of outsourcing tactical projects to Polish devs. We handpick clients and projects, which enables our team to create, design and implement complex solutions and softwares.

Meet Our AI & LLM Experts

We're the brains and the heart behind the code. A quirky bunch of passionate pros who love turning ideas into reality. Here, every project is a team sport, and we’re all about building software - and relationships - that last, one line of code at a time.

avatar placeholder efpe

Dawid

ML Engineer
avatar Aleksandr

Aleksandr

ML Engineer
avatar Piotr

Piotr

Senior Research Engineer
avatar Łukasz

Łukasz

Head of Development
+5

awesome engineers

(and growing)

How we work

01
Let’s discuss your needs
We learn about your product vision, users, and technical requirements. Where needed, we run discovery sessions and workshops to map out the full picture together.
02
Technical specification
We define the scope, prepare a development roadmap, and design the architecture.
03
Select your collaboration model
From building an MVP to delivering a full-scale product or extending your engineering team, we adapt to your product stage and take full ownership of what we build.
04
Beyond development
We support product growth through optimization, new features, and infrastructure improvements.

Reviews

Quality is our specialty, retention is our metric

“We’ve recently become the #1 fastest growing supplement company in America (Inc. 5000). FPWD played a part in it by continually optimizing our websites.”
"I’ve worked with a lot of agencies in the past and had a lot of headaches – FPWD is not one of those."
“The resources they’ve recommended are all incredibly talented, smart, and good people.”
“They've created a lot of great assets and we've been very pleased with their work.”
“They’re very responsive and eager to help, so we’ve had a great collaboration with them so far.”
“They are invested in the work, and they want us to achieve our goals.”
“Their passion for the work they do is clear. They truly care about our company’s success.”
“The partnership has been working out great for the redesign and relaunch of our main site.”

We’d love
to hear from you

Got a question or need project advice? Reach out, we’d love to hear from you! Better yet, visit us at one of our offices or anywhere in Poland.

Thank you for reaching out! We'll get back to you shortly
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Contact Ala
Alicja Trzewik-Wantuła
Director of Client Relations

FAQ

If you have a question about our AI & LLM Services, you’ll probably find an answer below. If not, feel free to contact us – we’ll be happy to clear things up for you.

What are LLM development services and what do they include?

LLM development services cover the design, building, and deployment of systems powered by large language models, including custom AI assistants, RAG pipelines, document processing workflows, natural language interfaces, and AI integration with existing platforms. At STB, for instance, we handle the full scope from architecture to production deployment.

What is the difference between using an LLM API and custom LLM development?

Using an LLM API (like OpenAI) means connecting your product to an existing model. Custom LLM development goes further building the architecture, pipelines, and integrations that make that model actually useful for your specific business data, workflows, and users. Most real business applications require both.

How do you develop an LLM agent for a business use case?

Developing an LLM agent involves defining the agent's goals, connecting it to relevant data sources or tools, and building the orchestration logic that lets it reason and act. We use frameworks like LangChain alongside RAG pipelines and vector databases to build agents that work reliably within real business environments.

What should I look for in an LLM development company?

Look for an LLM development company with hands-on experience across the full AI stack: not just API integrations, but data pipelines, retrieval systems, deployment infrastructure, and model optimization. It's worth asking whether they've delivered production-ready AI systems. We've been building scalable tech solutions for US and EU companies since 2015, and our AI work is grounded in the same engineering standards we apply across every engagement.

Can you build a custom LLM application connected to our internal data?

Yes, custom LLM development connected to internal knowledge bases is one of our core services. We build RAG pipelines that allow language models to search and retrieve from your documentation, databases, or data warehouses, so the AI works with your data rather than generic training data.

What does LLM app development look like in practice?

LLM app development typically starts with understanding your use case, whether that's a customer-facing assistant, an internal search tool, or an automated document workflow. We then design the architecture, integrate the relevant LLM and data systems, and build toward a scalable, monitored production deployment.

How do you handle performance and scalability in LLM development services?

We optimize LLM serving using tools like vLLM and Nvidia Triton, and support hardware-accelerated formats such as TensorRT where needed. This means your AI systems stay fast and cost-efficient as usage grows.