AI Development Services

We design and deploy artificial intelligence systems: from prototype to production-ready solutions. Our team combines expertise in machine learning, data engineering and MLOps to make AI work not in the lab, but in real business.
11+Years of work900+Completed projects100+In house employees19+Partners
Services we offer
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Fine-tuning LLMs with LoRA: Efficient Customization
Medium
from 1 week to 3 months
QLoRA fine-tuning of LLMs: efficient quantization with LoRA for large models
Medium
from 1 week to 3 months
PEFT fine-tuning of LLMs: LoRA, QLoRA, AdaLoRA
Medium
from 1 week to 3 months
DPO fine-tuning of LLMs: alignment without RLHF
Complex
from 1 week to 3 months
RLHF Fine-Tuning of LLMs: Alignment with Human Preferences
Complex
from 2 weeks to 3 months
LLM Instruction Tuning: Complete Guide for Enterprise AI
Medium
from 1 week to 3 months
ORPO fine-tuning of LLMs: SFT and Preference Optimization without a reference model
Complex
from 1 week to 3 months
Fine-tuning LLM: Dataset Preparation — Formats, Deduplication, and Checklist
Medium
from 1 week to 3 months
How Data Annotation Affects LLM Fine-Tuning
Medium
from 1 week to 3 months
Data cleaning for LLM fine-tuning: pipeline and metrics
Medium
~3-5 days
Dataset augmentation methods in LLM training
Medium
~3-5 days
Turnkey Synthetic Data Generation for LLM Fine-Tuning
Medium
~3-5 days
Dataset Quality Validation for LLM Fine-Tuning: Audit and Cleaning
Medium
from 1 day to 3 days
Fine-tuned model quality: metrics, LLM-as-judge, experts
Medium
from 1 day to 3 days
Fine-Tuning LLMs: How to Run an A/B Test and Get It Right
Medium
from 1 day to 3 days
LLM Quantization Formats: INT8, INT4, GPTQ, AWQ, GGUF — Which to Choose?
Medium
from 1 day to 3 days
Knowledge Distillation for Large Language Models
Complex
from 1 week to 3 months
Pruning neural networks: weight pruning for optimization and faster inference
Complex
from 1 week to 3 months
Optimize LLM Inference: vLLM with PagedAttention & Continuous Batching
Medium
~3-5 days
Optimizing LLM Inference with TensorRT-LLM
Complex
~3-5 days
How to accelerate LLMs on CPU and GPU with ONNX Runtime: a practical guide
Medium
~3-5 days
LLM Inference Optimization: llama.cpp, GGUF Quantization, Hybrid
Medium
from 1 day to 3 days
Optimizing LLM Inference with Triton Inference Server
Complex
~3-5 days
LLM inference with TGI: reducing latency and saving VRAM
Medium
~3-5 days
ML model conversion to ONNX — optimization for deployment
Medium
from 1 day to 3 days
Neural Network Inference Optimization: TensorRT Conversion on NVIDIA GPUs
Medium
from 1 day to 3 days
Optimizing ML models for Core ML on Apple devices
Medium
from 1 day to 3 days
Mobile Model Optimization: TFLite, Quantization, Delegates
Medium
from 1 day to 3 days
Converting a model to GGUF format for llama.cpp
Simple
~1 day
Production-Ready LLM Serving on Dedicated GPU Hardware: Turnkey Solution
Medium
~3-5 days
AI Solution Development Stages

AI Development Areas

Latest works

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