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.
8+Years of work900+Completed projects100+In house employees19+Partners
Services we offer
Showing 90 of 1566
LLM Deployment on Kubernetes with GPU Nodes
Complex
~5 days
LLM Deployment on AWS (SageMaker / Bedrock)
Medium
~3-5 days
LLM Deployment on Google Cloud (Vertex AI)
Medium
~3-5 days
LLM Deployment on Azure (Azure OpenAI / Azure ML)
Medium
~3-5 days
LLM Deployment on Yandex Cloud (DataSphere)
Medium
~3-5 days
LLM On-Premise Deployment on Client Server
Medium
~3-5 days
LLM Deployment on Edge Devices
Complex
from 1 week to 3 months
GPU Infrastructure Autoscaling Setup for AI
Complex
~3-5 days
Load Balancing Setup Between GPU Instances
Medium
from 1 day to 3 days
GPU Utilization and VRAM Monitoring Setup
Medium
from 1 day to 3 days
Inference Caching Setup (KV-cache, Semantic Cache)
Medium
from 1 day to 3 days
LLM Request Dynamic Batching Setup
Medium
from 1 day to 3 days
AI Service Rate Limiting and Quota Setup
Medium
from 1 day to 3 days
RAG System Development (Retrieval-Augmented Generation)
Medium
from 1 week to 3 months
RAG Pipeline Architecture Design
Medium
~3-5 days
RAG Development with Pinecone Vector Database
Medium
from 1 week to 3 months
RAG Development with Weaviate Vector Database
Medium
from 1 week to 3 months
RAG Development with ChromaDB Vector Database
Simple
from 1 week to 3 months
RAG Development with Milvus Vector Database
Medium
from 1 week to 3 months
RAG Development with Qdrant Vector Database
Medium
from 1 week to 3 months
RAG Development with pgvector (PostgreSQL)
Simple
from 1 week to 3 months
RAG Development with Elasticsearch (kNN) Vector Database
Medium
from 1 week to 3 months
RAG Development with OpenSearch Vector Database
Medium
from 1 week to 3 months
RAG Development with FAISS for Local Vector Search
Medium
from 1 week to 3 months
Hybrid Search Implementation (Vector + Full-Text) for RAG
Medium
from 1 week to 3 months
Multi-Query RAG Implementation for Improved Retrieval Quality
Medium
from 1 day to 3 days
HyDE (Hypothetical Document Embeddings) Implementation for RAG
Medium
from 1 day to 3 days
Self-Query RAG with Metadata Implementation
Medium
from 1 day to 3 days
Contextual Compression Implementation for RAG
Medium
from 1 day to 3 days
Parent Document Retriever Implementation for RAG
Medium
from 1 day to 3 days

AI Development Areas

AI Solution Development Stages

Latest works

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    B2B ADVANCE company website development
    1279
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    Development of a web application for FEEDME
    1194
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    Website development for BELFINGROUP
    901
  • image_ecommerce_furnoro_435_0.webp
    Development of an online store for the company FURNORO
    1119
  • image_logo-advance_0.webp
    B2B Advance company logo design
    586
  • image_crm_enviok_479_0.webp
    Development of a web application for Enviok
    853
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