MachinaLabs
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Meet MachinaLabs — Turning Market Noise into Clear Signals

In this case study, we explore how MachinaLabs scaled global data extraction by integrating Massive’s ethical residential proxies—boosting success rates to 99.7%, cutting latency, and ensuring full compliance across markets.

Scaling Global Data Collection Was Slowing Innovation

To deliver real-time financial insights, MachinaLabs had to scrape structured and alt-data across borders. But geo-restrictions, CAPTCHAs, time-outs, and compliance overhead stalled performance and pulled engineers away from AI development.

Ethical Infrastructure That Frees Up Core Resources

By integrating Massive’s ethically sourced residential proxies, MachinaLabs eliminated IP blocks, slashed fetch times, and ensured global compliance. The result: faster data pipelines, higher success rates, and more bandwidth for innovation.

Meet MachinaLabs

MachinaLabs is a Basel-based fintech helping traders and researchers cut through market noise and identify clear trading signals. Their products — including Machina Trader — depend on reliable, global data extraction: real-time financial market monitoring, competitor pricing, and alternative data from hundreds of sources across regulated markets.

Their success depends on every one of those pipelines being right, and being on time.

The Challenge — Infrastructure couldn’t keep up with their ambition

As MachinaLabs scaled, their existing proxy infrastructure hit a wall. The volume and geographic diversity of data requests stressed rate limits, pushed latency up, and forced the team to spend more engineering hours navigating compliance across different markets than shipping AI product.

Three problems compounded:

  • Rate-limiting friction on the sources that mattered most
  • High latency across cross-border collection that delayed time-to-insight
  • Compliance overhead — especially for EU data — that pulled engineers off AI model work and into vendor due diligence

The Solution — Consent-based residential infrastructure at global scale

MachinaLabs replaced their previous infrastructure with Massive’s ethical residential proxy network. The geographically diverse IP pool and transparent compliance framework let them:

  • Scale data extraction globally without rate-limiting friction
  • Maintain consistent low latency across all major markets
  • Ensure full compliance with regional data access policies
  • Trust their data pipeline with the same ethical standards their brand demands

The team redirected engineering hours from infrastructure firefighting back to building better products for traders.

Results

70% → 99.7%Success rateA 29.7 percentage-point jump that eliminated reliability anxiety
65s → 42sMedian fetch time23 seconds faster per request, accelerating the analytics pipeline
99.1% → 99.7%30-day uptimeConsistency that traders and researchers depend on

Massive’s proxies are fast, reliable, and ethical. Their transparent approach to compliance gives us the confidence to scale our data extraction globally. We’re no longer held back by infrastructure — we can focus on building better products for traders.

Victor Okoroafor, Lead Data Scientist, MachinaLabs

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