AI advisory and data engineering for supply chain and enterprise planning
Relanto is a consulting firm built around data and AI services, with a tech stack spanning graph databases (Neo4j, Neptune), ML frameworks (TensorFlow, PyTorch, Hugging Face), and vector search (Pinecone, Weaviate, Chroma). The hiring profile is heavily senior-skewed (25 of 33 roles) and concentrated in engineering and data, suggesting client engagements require deep technical delivery rather than implementation staffing. Active projects cluster around supply chain optimization and demand forecasting—a vertical specialization that aligns with their pain-point focus on SKU velocity, lead times, and planning model scalability.
Notable leadership hires: Technical Lead
Relanto advises enterprise clients on data modernization, AI capability development, and supply chain planning. The firm operates across three service areas: advisory and architecture (helping clients design data and AI strategies), consulting (optimizing planning processes and supply chain operations), and technology delivery (building data pipelines, ML models, and analytics infrastructure). Their client base appears concentrated in mid-to-large manufacturing and CPG organizations managing complex multi-SKU, multi-source supply networks. Founded in 2021, the company is based in Seattle with engineering and data talent spanning the United States and India.
Relanto's stack includes TensorFlow, PyTorch, Hugging Face Transformers for ML; Pinecone, Weaviate, Chroma for vector search; Neo4j and Neptune for graph databases; and LangChain and LlamaIndex for LLM orchestration. Cloud platforms are AWS, GCP, and Azure.
Relanto focuses on data and AI, supply chain planning (including demand forecasting and inventory optimization), cloud migration, enterprise planning platforms, and intelligent automation. Their projects emphasize Kinaxis integration, analytics schema design, and planning model optimization.
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