Daloopa Integrates with Perplexity to Bring Its Trusted Financial Data Layer into AI Research Workflows

WHY THIS MATTERS

The integration between Daloopa and Perplexity marks a major step toward the “Agentic Desktop” in high finance. Historically, investment teams have been forced to choose between the speed of AI answer engines and the accuracy of specialized financial databases. By using a “Bring Your Own License” (BYOL) model, Daloopa allows institutional clients to ground Perplexity’s AI—and its autonomous “Computer” worker—in structured, audit-ready data covering over 5,500 global companies. This eliminates the “hallucination gap” that has prevented hedge funds and equity researchers from fully trusting AI with high-stakes tasks like valuation and earnings modeling.

This partnership also highlights the growing importance of the Model Context Protocol (MCP) as the standardized “plumbing” for the 2026 financial AI ecosystem. Because Daloopa’s infrastructure is LLM-agnostic, investment firms can now use Perplexity as a single unified interface to query complex datasets with fully traceable citations. In an era where AI models are increasingly commoditized, the real competitive advantage for investment firms shifts to the quality and accessibility of the data they plug into these systems. By removing the need for manual API configuration, Daloopa and Perplexity are enabling “always-on” digital workers to perform deep-tier fundamental analysis in seconds rather than hours.

Daloopa, the essential data infrastructure for AI and agentic workflows in financial services, today announced a new integration with Perplexity that allows joint customers to connect their existing financial data licenses directly into Perplexity and the always-on digital worker, Perplexity Computer.  

The integration introduces a bring-your-own-license (BYOL) model, enabling investment teams to access and analyze Daloopa’s structured, audit-ready fundamental data within Perplexity’s interface, without needing to configure APIs, manage entitlements, or switch between tools. Users can query their licensed data through Perplexity’s answer engine, or use Computer to run complex financial analyses using Daloopa data alongside external market signals, all within a single workflow with fully traceable citations. 

This builds on Daloopa’s growing ecosystem of AI partnerships, including its connectors with OpenAI’s ChatGPT and Anthropic’s Claude. As AI becomes embedded in real investment workflows, the limiting factor is no longer model capability, but whether those systems can reliably access and use high-quality financial data within those workflows. In high-stakes use cases like valuation, earnings analysis, and portfolio modeling, inconsistencies and errors can materially impact outcomes.  

“AI is only as powerful as the data it can access,” said Thomas Li, CEO of Daloopa. “As investment firms move AI into real workflows, they need systems that are not just fast, but also accurate, consistent, and traceable. By integrating with Perplexity, we’re enabling teams to bring their existing data licenses into AI platforms, so they can move faster without sacrificing rigor.” 

“Perplexity is focused on delivering accurate, cited answers users can trust,” said Dmitry Shevelenko, Chief Business Officer at Perplexity AI. “By connecting Perplexity to the financial data our customers already rely on, we’re making it possible to run analysis, generate research, and answer complex questions in a single workflow, with full visibility into the underlying sources.” 

The result is faster, more reliable research and clearer investment decisions, grounded in the same robust data that teams already trust today. 

Daloopa’s platform covers 5,500+ public companies globally, delivers up to 10 times more data points per company than other providers, and each datapoint is linked back to its original source for full auditability. The company’s infrastructure powers a wide range of analytical AI workflows, from hedge funds detecting quarterly inflections and modeling scenarios to equity researchers generating reports. Daloopa’s MCP is also LLM-agnostic and supports AI platforms using MCP Standard Protocol. 

FF NEWS TAKE

Daloopa is successfully positioning itself as the “gold standard” data layer for the generative AI era. While traditional terminals are still catching up, Daloopa’s decision to integrate with specialized AI platforms like Perplexity, ChatGPT, and Claude shows it understands exactly where the modern analyst’s workflow is moving. The “Perplexity Computer” integration is particularly noteworthy; it moves the needle from “chatting with data” to “executing work with data,” allowing an AI agent to autonomously run scenario analyses using Daloopa’s 10x denser data points per company.

However, the “BYOL” model also places a spotlight on the evolving landscape of data entitlements. As AI agents become the primary consumers of financial data, providers will need to ensure that their licensing frameworks can handle the high-velocity, high-volume querying inherent in agentic workflows. For Perplexity, this is a clear move to capture the lucrative institutional finance market by proving its “answer engine” can be as rigorous and cited as a human associate. For the wider fintech market, the message is clear: the age of the siloed financial terminal is ending, replaced by a modular, interoperable AI ecosystem where data integrity is the only non-negotiable factor.