AI-powered rating and data platform for tokenized digital assets
Particula rates and analyzes tokenized assets for institutional investors using a tech stack built around Python, PyTorch, LangChain, and AWS. The company's project roadmap centers on LLM-powered rating features and RAG-based data pipelines, paired with on-chain rating infrastructure and multi-chain smart contract integration — revealing a dual focus on both off-chain AI analysis and on-chain protocol integration. Leadership hiring (director-level roles) alongside distributed data teams across US and Germany suggests scaling toward institutional distribution and regulatory compliance.
Notable leadership hires: Institutional Head
Particula builds a rating and data platform designed specifically for digital assets and tokenized securities. The platform evaluates tokens and on-chain assets across economic, environmental, compliance, and technical dimensions, targeting professional investors navigating fragmented market data. Founded in 2022 and headquartered in Munich, the company operates as a partnership with 11–50 employees. Core challenges include automating data collection, maintaining ratings across multiple blockchains, integrating with DeFi protocols, and scaling adoption among institutional buyers.
Python, PyTorch, Transformers, Hugging Face, LangChain, and LangGraph for AI/ML; AWS Lambda, Bedrock, and SageMaker for infrastructure; Solidity and Vyper for smart contracts; MLflow and RAGAS for observability.
Yes. Active roles span data (3 open), engineering (1), product (1), research (1), and sales (1), with seniority ranging from mid-level to director. Hiring in United States and Germany.
LLM-powered rating features, RAG data pipelines, on-chain rating infrastructure, multi-chain smart contract deployment, evaluation dashboards, and data collection automation for tokenized assets.
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