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Custom Alternative Data Infrastructure for Quantitative Funds

We design, build, and maintain institutional-grade data scrapers, entity resolution engines, and custom analytics pipelines — giving fund managers proprietary data feeds that standard marketplaces can't provide.

200+

Custom pipelines deployed

50+

Fund clients served

10M+

Data points processed daily

8+

Years in alt data engineering

What we do - Source. Engineer. Deliver.

We are a specialized software engineering firm that builds proprietary alternative data pipelines for quantitative hedge funds, private equity firms, and multi-family offices.

  • Custom Data Collection. Off-the-shelf alternative data decays rapidly once it reaches commercial marketplaces. We engineer custom data collection, parsing, and normalization systems tailored strictly to your fund's proprietary investment theses — giving you a durable, uncrowded signal edge.
  • Signal Engineering & Analytics. Whether you need distributed web crawling at scale, satellite/geospatial data pipelines, or real-time NLP text extraction, we turn messy real-world noise into clean, backtest-ready financial time series.
  • Pipeline Architecture & Delivery. Production-grade ETL pipelines that deliver clean, point-in-time data directly into your backtesting and execution environments. Seamless integration with Bloomberg, FactSet, Python/R environments, and proprietary platforms.
  • Ongoing Data Operations. Continuous monitoring, data quality assurance, and coverage expansion. We treat your data infrastructure as a living product — iterating on signal quality, expanding source coverage, and adapting to evolving market conditions.

Core capabilities - Four engineering pillars built for your investment stack.

From raw data ingestion to production-ready signal delivery, our engineering pillars cover every layer of the alternative data pipeline.

  • Bespoke Ingestion & Web Scraping. Resilient crawlers engineered for uncrowded data sources. We build self-healing, high-concurrency scraping infrastructure to ingest web metrics, app footprints, pricing, and job postings without anti-bot downtime. Built with Scrapy, Playwright, distributed queues, and managed proxy networks.
  • Entity Resolution & Mapping. Connecting unstructured real-world strings to parent tickers. We build automated mapping engines that accurately pair raw merchant logs, corporate filings, and localized names to global stock tickers and private entities using fuzzy matching, graph databases, and custom ML disambiguation.
  • Unstructured Text & NLP Engines. Extracting structured signals from complex documents. We deploy agentic NLP and custom model pipelines to parse regulatory dockets, court records, clinical trial protocols, and government filings in real time — powered by vector databases, LLM fine-tuning, and RAG architecture.
  • Institutional Pipeline Architecture. Zero-downtime ETL built for production trading systems. We construct cloud-native data lakehouses and APIs that deliver clean, point-in-time data directly into your backtesting and execution environments — using Snowflake, Databricks, PySpark, and Airflow/Dagster.
Swiss flag

Built for fiduciary standards

Strict compliance & legal guardrails

Every custom ingestion pipeline is architected to respect robots.txt, web scraping legal boundaries, GDPR/CCPA privacy laws, and Material Non-Public Information (MNPI) guardrails. Swiss-hosted infrastructure available for maximum data sovereignty.

Point-in-time accuracy

We engineer historical time-series pipelines to guarantee zero lookahead bias, preserving true point-in-time data integrity for rigorous quantitative backtesting. Your research results are reproducible and audit-ready.

Zero shared alpha

Every custom engine we build for your firm is proprietary to your fund. We never aggregate or re-sell your custom signals to third parties. Your edge stays yours — guaranteed by contract and by architecture.

The truth is that data doesn't lie. People lie. And people who ignore data lie to themselves.

Clifford Asness

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  • Location
    Switzerland
  • Working
    Remote & On-site