AI & Cloud Solutions

From custom RAG systems to production AI agents. We make AI work for your business, not the other way around.

What We Build

Custom RAG Pipelines

Retrieval-Augmented Generation systems using Qdrant, Pinecone, pgvector, or MongoDB Atlas. We handle document ingestion, chunking strategies, embedding models, and retrieval optimization.

AI Agents & Orchestration

Autonomous agents for customer support, data analysis, and workflow automation. Multi-step chains with tool use and memory.

AI-Powered Search

Semantic search engines that actually understand what users mean. Vector databases + hybrid search (keyword + semantic) for your product catalog, documentation, or knowledge base.

LLM Integration

Integrate OpenAI, Anthropic, Google, or open-source models (DeepSeek, Llama) into your existing systems. Prompt engineering, fine-tuning pipeline setup, and cost optimization.

AI for Call Centers

Real-time sentiment analysis, call transcription, agent performance analytics, and AI-powered voice agents.

Cloud-Native AI Deployment

Deploy ML models on AWS (SageMaker, Lambda), Cloudflare AI Workers, or custom GPU servers. Auto-scaling, monitoring, and A/B testing for models.

Conversant AI — AI-Powered Product Discovery

Built a conversational product recommendation engine for e-commerce platforms. FastAPI backend with Qdrant vector database, processing hundreds of thousands of tasks daily. Integrated with Shopify, WooCommerce, Magento, and BigCommerce.

Tech Stack

FastAPI

Qdrant

Pinecone

OpenAI

Anthropic

LangChain

Python

AWS

Cloudflare

Vector DBs

Ready to build with AI? Let's talk.

Get in Touch