AndishiAndishiAndishiIntelligent Systems
We build and deploy intelligent features, custom LLM integrations, retrieval systems (RAG), and automated workflows that scale safely.
What we build
01
Custom LLM integrations and agentic workflows
02
Semantic search & RAG systems with high accuracy
03
AI-driven workflow automation and tool call pipelines
04
Model evaluation, cost optimization, and safety guardrails
Core technologies
Why Andishi
We focus on production AI - prioritizing low latency, high retrieval quality, and strict cost controls.
We design smooth user experiences around AI limitations, ensuring a premium feel.
We integrate intelligent agents directly into your product rather than running isolated experiments.
Engineer Network
AI Product Engineer
Kwame builds production AI workflows with evaluation, retrieval, and cost controls. He is a strong fit for teams turning LLM prototypes into product features.
Data Product Engineer
Samuel connects product, data, and backend systems so operational teams can make faster decisions.
Domain FAQ
No. We focus on production-grade AI systems: robust APIs, precise evaluation pipelines, security guardrails, and cost-efficient scaling.
We build with OpenAI, Anthropic, Google Gemini, open-source models, and vector stores like Pinecone, pgvector, and Qdrant.
Yes. We can design and implement AI features that connect seamlessly with your current database, APIs, and frontend interfaces.
We implement caching strategies, prompt optimizations, and robust schema validations to control API costs, alongside secure data handling practices.
Start here
Work with our senior engineering team to scope, design, and deliver your next product milestone.