Caspr is a specialized example of the "vertical agent" trend within the AI ecosystem. Rather than offering a horizontal assistant, they have built an agentic system tailored specifically for the persona of a market research analyst. Their system demonstrates how agents can be deployed to handle complex, multi-stage knowledge work—sourcing data, analyzing it according to professional frameworks, and then autonomously generating visual artifacts like slide decks.
In the broader agent stack, Caspr operates at the application layer, providing a complete end-to-end solution for a specific professional task. Their relevance to the community lies in their approach to "verifiable agents." By providing transparent logic, source references, and a dual-brain architecture that separates data retrieval from analysis, they offer a blueprint for building agents that can be trusted with decision-grade corporate intelligence.
Traditional market research is defined by a slow and expensive feedback loop. A strategy team at a major firm might spend two weeks and thousands of dollars to produce a single market landscape report. General-purpose large language models have attempted to compress this timeline, but they often struggle with hallucinations, dated training data, and a lack of structured, presentable output. Caspr is an attempt to professionalize this workflow by building an AI research analyst that follows the rigorous standards of management consulting.
Founded by Joy Sharma, a former McKinsey consultant, Caspr is built for high-stakes business decisions where accuracy is more important than speed. Based in Dubai, the company has grown by targeting users at "MBB" firms (McKinsey, BCG, Bain), private equity, and advisory firms who need structured intelligence without the overhead of a human analyst team.
Caspr differentiates itself through a proprietary dual-model architecture. The company splits the research process into two distinct stages managed by specialized engines. The first, which they call the LearningBrain, is responsible for data acquisition. It manages feeds from over one million public and private sources to ensure the analysis is based on live information rather than static training sets. This address the "freshness" problem that plagues many baseline LLMs.
Once the data is gathered, the ThinkingBrain—a specialized Large Analysis Model—takes over. Unlike a general chatbot, this model is designed to perform both qualitative and quantitative analysis specifically for business contexts. It looks for disruptive trends, industry benchmarks, and competitor activities, organizing them into a structured hierarchy that mirrors a professional research document.
The final hurdle for AI in the enterprise is formatting. Most AI tools provide text blocks that require manual transfer into presentations. Caspr addresses this by generating "client-ready" outputs. Users can prompt the system to create a report layout, interactively edit the sections with the AI, and then export the result as a polished PDF or a PowerPoint (PPTX) presentation. This switch from an insights-focused report to a visual slide deck is intended to remove the "grunt work" that typically consumes an analyst's time.
For enterprise clients, Caspr offers features that move beyond the typical SaaS model. This includes prompt masking for sensitive data protection and on-site storage options for organizations with strict data sovereignty requirements. They also provide a "shared wallet" feature, allowing large organizations to manage token usage across teams rather than individual seats.
Caspr sits in an increasingly crowded space of "deep research" tools, competing with the likes of Perplexity and DeepSeek. However, its focus on the consulting pedigree and structured document output suggests a different target. While a general user might use Perplexity to understand a topic, a strategy officer uses Caspr to build the artifact that will be presented to a board. By focusing on the end-to-end production of research documents rather than just answering questions, Caspr attempts to replace the agency, not just the search engine.
An AI research analyst that generates decision-grade reports and presentations from over one million data sources.
Caspr is hiring.