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An extra brain for every analyst

AI copilot that augments financial research and data synthesis.

CLIENTEntralon
INDUSTRYFinance
SERVICEAI Strategy & Implementation
YEAR2024

Entralon's analysts were drowning in data—hours spent extracting insights from reports, filings, and market feeds before they could even begin the real work. We built an AI copilot that sits alongside their workflow, surfacing the right information at the right moment.

[THE CHALLENGE]

Every research cycle involved manually combing through hundreds of documents, cross-referencing data points, and synthesizing findings into structured outputs. Analysts were spending 70% of their time on retrieval and formatting, not analysis. The team was scaling, but output wasn't keeping pace.

[THE SOLUTION]

We designed a custom RAG-powered copilot trained on Entralon's internal knowledge base and connected to live market data feeds. The system understands analyst queries in natural language, retrieves relevant passages across documents, and generates structured summaries with source citations. We integrated it directly into their existing tools—no context switching, no new workflows to learn.

[THE RESULTS]
60%Faster research cycles
Output per analyst
12hrsSaved per analyst weekly
[TECH STACK]
PythonLangChainOpenAIPineconeNext.jsPostgreSQL
Coreform built an AI layer around our analysts—it's like having an extra brain on the team.
Farbod MotavaselCEO, Entralon
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