Daloopa and Perplexity Unite to Power Trusted AI for Wall Street

NEW YORK, NY – April 30, 2026 – In a move aimed at bolstering the reliability of artificial intelligence in high-stakes financial analysis, data infrastructure firm Daloopa has announced a significant integration with AI answer engine Perplexity. The partnership allows investment professionals to use their existing Daloopa data licenses directly within Perplexity's platform, creating a streamlined and verifiable research workflow.

The collaboration introduces a 'bring-your-own-license' (BYOL) model, enabling joint customers to query Daloopa's vast repository of structured financial data through Perplexity's conversational interface. This development tackles one of the most significant hurdles for AI adoption in finance: the pervasive 'garbage in, garbage out' problem, where AI models can produce inaccurate or fabricated information, known as hallucinations, if fed unreliable data.

Addressing AI's Credibility Crisis

The promise of AI to revolutionize investment research has been tempered by concerns over data integrity. For an industry where a single misplaced decimal can have material consequences, the risk of an AI model hallucinating a financial metric has been a major barrier to adoption. According to recent industry analysis from Gartner, inadequate data quality and availability are the primary obstacles CFOs face when trying to implement AI, even more so than a shortage of talent.

This integration is designed to directly confront that challenge. Daloopa provides what it calls "audit-ready" fundamental data on over 5,500 public companies, with a key differentiator: every single data point is hyperlinked back to its original source document. This ensures complete traceability, a feature that has been largely absent from the black box of many AI systems.

"AI is only as powerful as the data it can access," said Thomas Li, CEO of Daloopa, in the official announcement. "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."

By grounding Perplexity’s powerful AI engine in a trusted, verifiable dataset, the partnership aims to transform AI from a speculative tool into a dependable co-pilot for financial analysts.

A New Paradigm for Research Workflows

Beyond data quality, the integration promises significant gains in operational efficiency. Traditionally, financial analysts spend countless hours toggling between platforms—downloading data from a terminal, cross-referencing figures in SEC filings, and manually inputting numbers into complex models. The Daloopa-Perplexity partnership aims to collapse this fragmented process into a single, unified workflow.

The BYOL model is central to this new paradigm. It allows firms to leverage their existing, substantial investments in high-quality financial data without needing to configure complex APIs or manage separate user entitlements for the AI platform. An analyst can now ask Perplexity a complex question, such as "Compare the last eight quarters of revenue growth and operating margins for Nvidia and AMD," and receive a direct, sourced answer powered by their firm's licensed Daloopa data.

Furthermore, users can utilize Perplexity Computer, the platform's 'always-on digital worker,' to perform more complex tasks, such as running financial analyses using Daloopa data alongside external market signals, all with fully traceable citations.

"Perplexity is focused on delivering accurate, cited answers users can trust," noted 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."

This seamless synthesis of data and intelligence is aimed squarely at Perplexity's target audience of 'Power Researchers'—professionals in finance, tech, and academia who demand speed without sacrificing accuracy.

The Maturing AI Ecosystem

This announcement is not Daloopa's first foray into the AI space. It follows previous integrations with OpenAI's ChatGPT and Anthropic's Claude, signaling a clear and deliberate strategy to position itself as the foundational data layer for the entire financial AI ecosystem. The company's Model Context Protocol (MCP) is designed to be LLM-agnostic, allowing it to partner with a wide range of AI leaders.

These strategic alliances highlight a crucial trend in the evolution of enterprise AI: the convergence of specialized, vertical-specific data providers with powerful, generalist AI platforms. As AI models become more capable, the limiting factor for real-world application is no longer computational power but access to high-quality, domain-specific data. Daloopa's focus on providing data with up to 10 times more data points per company than other providers, combined with its commitment to auditability, makes it a valuable partner for AI companies looking to penetrate the demanding financial sector.

The partnership allows Perplexity to strengthen its enterprise offerings, which have seen rapid growth by promising accelerated research cycles and more reliable decision support. For Daloopa, it expands the utility of its core product, embedding it deeper into the daily workflows of the world's top investment firms. This symbiotic relationship exemplifies the maturation of the market, where collaboration and ecosystem-building are becoming more critical than standalone innovation. The result is a more robust and trustworthy AI infrastructure, paving the way for more sophisticated applications in valuation, earnings analysis, and portfolio modeling, ultimately leading to clearer and more defensible investment decisions.