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.

Dataset.ET — Open Language Corpus for Ethiopian AI

Dataset.ET is our open dataset initiative building speech, text, and translation data for 80+ Ethiopian languages — community-driven, CC-BY-4.0, and actively growing via Telegram.

Explore Dataset.ET →Read the engineering story →

Tech Stack

FastAPI

Qdrant

Pinecone

OpenAI

Anthropic

LangChain

Python

AWS

Cloudflare

Vector DBs

Ready to build with AI? Let's talk.

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