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Bigdata developers blog Welcome to the Bigdata developers blog, where we share what we’re building, what we’re learning, and where we think the industry is heading. This blog is a space for deep dives into engineering, architecture decisions, research insights, and practical lessons from our work at the intersection of AI, data engineering, and financial intelligence. We write about the tools we use, the systems we design, and the ideas shaping the next generation of data-driven financial technology. Whether you’re a developer integrating our API, a data engineer building pipelines, a researcher exploring financial datasets, or simply curious about how AI is transforming finance, this blog offers a behind-the-scenes look at our work and the challenges we’re solving.

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What we write about

AI Trends

How artificial intelligence is reshaping financial research, search, and decision-making, and what comes next.

Research

Deep dives into the data, models, and methodologies behind Bigdata’s knowledge graph and content engine.

Engineering

Technical stories from the team: architecture decisions, scaling challenges, and lessons learned in production.

Product

New features, platform updates, and the thinking behind how we build Bigdata products.

Company

Culture, milestones, and the people driving Bigdata forward.

News

Announcements, partnerships, and industry coverage.

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Latest posts

Smart Batching: plan-then-execute search for universe-scale screening

How adaptive planning cuts large-universe Search workflows from minutes to seconds while preserving high-relevance evidence in benchmark screens.

The Workflows API: turning an analyst's research process into an API call

Templates, grounded output, and parallel sub-agents so the same research framework runs across your whole coverage universe.

Professional-Grade Financial Reports with Claude, Bigdata MCP, and Skills

How financial institutions can use Claude with Bigdata MCP and Skills to produce consistent, scalable research reports on demand.