CLIENTS & PROJECTS

CLIENTS & PROJECTS

Glassnode

Zug, Switzerland, 2024

We led the overhaul of Glassnode’s data processing engine, designing a modern pipeline for EVM blockchains—from real-time node data ingestion and novel distributed decoding to incremental models and metrics, inspired by systems like Dune. Our work spanned HELM-based deployments, efficient graph execution, Grafana monitoring, and metric development for protocols like Uniswap, Aave, and Ethereum core. This new architecture now powers Glassnode’s onchain data stack.

juni.co

Stockholm, Sweden, 2023

We built core data infrastructure at Juni, a fast-growing fintech startup building an all-in-one financial platform for modern businesses. Using BigQuery, Airflow, Kubernetes, and the Python data stack, we engineered scalable pipelines to process transactional time series from banking and external integrations. These data models powered internal apps for credit issuance, monitoring, and automated underwriting, enabling ML-driven credit decisions and supporting a portfolio scale-up to over $200M.

DAOHQ

New York, NY, 2023

We built a low-latency semantic search API for a DAO trading platform, enabling users to query abstract concepts using NLP-powered embeddings instead of traditional keyword matching. The system combined a summarization service for parsing whitepapers with a vector-based search index, allowing queries like “cross-chain cheap loans” to return contextually relevant DAOs. The proof of concept was deployed using Google Cloud Run for fast, scalable access.

TresMares

Madrid, 2020

We built an interactive ML application to monitor millions of European companies, combining robust data pipelines with predictive modeling and visualization. Deployed on Google Cloud, the system featured scheduled ETLs to aggregate financial data, managed databases, and implemented full CI/ML-Ops workflows. We trained and validated autoregressive multi-output models using time series methods to forecast changes in company accounts. A Dash web app provided a user-friendly interface to explore the dataset, monitor live predictions, and export analyses.

Ebury

London, 2021

We developed and deployed an end-to-end ML framework to classify company activity based on website text and metadata, leveraging deep learning and custom NLP embeddings. The system combined pre-trained document models with compressed TF-IDF vectors to train a meta-classifier, enabling accurate, scalable predictions. Deployed on Google Cloud, it featured distributed web scraping, ETL pipelines, database management, and model orchestration. The resulting activity vectors powered similarity search and were used by compliance teams to efficiently identify companies operating in sensitive sectors—eliminating the need for manual review of thousands of websites.

Data, engineered for clarity. Intelligence, built for impact.

We craft elegant, intelligent data solutions that empower businesses to think smarter, act faster, and grow confidently. From engineering rock-solid data pipelines to building insightful analytics and machine learning systems, we fuse precision with simplicity—so you can focus on decisions, not complexity.

Our Services

  • We design and deploy machine learning systems that do more than just predict—they power decisions. From training robust models on structured and unstructured data to integrating them seamlessly into production workflows, we help businesses turn historical data into future insight.

  • We build reliable, scalable data infrastructure from the ground up. Whether it's streaming pipelines, data lake architecture, or real-time analytics, our engineering solutions ensure your data flows cleanly and is always ready for action.

  • We transform raw data into clarity. By crafting intuitive dashboards, automated reports, and custom metrics, we make complex information accessible—so your team can see what matters and act on it, faster.

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