Ask Finch. Know Faster. Know for Sure.

On the surface, the job of an intelligence analyst, a corporate due diligence professional, a research security officer and a fraud detection specialist seem very different. But at the core of each of these professions is the need for accurate, trustable, real-time information gleaned from assessing massive volumes of text.

Knowing who’s connected to whom; what those relationships suggest; and where there is inherent risk is critical. Missing a signal – or acting on the wrong one – is devastating.

At Finch AI, we work across industries and domains to help surface insights, accelerate workflows and solve hard problems; problems that involve asking and answering questions like: Who is this person? Who are they connected to? What organizations do they have or have they ever had ties to? Is there anyone in this organization with ties to nation-state bad actors? Who are its investors and suppliers? Do they have ties to criminal organizations? What has changed about these relationships over time and why did it happen? What is the overall picture here?

Answering any one of these questions correctly and comprehensively is a singular, time-intensive, manual and subjective exercise. Answering them all, all at once, with real-time information from public and proprietary datasets with supporting evidence, and in just a few clicks is how it has to work in order to support rapid decision making in high-stakes environments with no room for error.

That’s why we created Ask Finch.

Ask Finch is an enterprise-grade AI research agent built precisely for the types of analytical tasks that matter most. It handles the kinds of questions other tools can’t. More than just returning fact-based responses by looking up information (though it does that too), Ask Finch performs the very human-like tasks of researching, reasoning, comparing and assessing textual information and returning readable, trustable summaries explaining its analysis. Within the tool:

• Factual Look-Ups generate fact-based answers and quickly return precise answers to users.
• Multi-Hop Reasoning explains why something happened connecting a cause with an effect and explaining it in a summary statement.
• Comparative Analysis compares two things – two events, two places, two people – by gathering and contrasting data across entities and showing the comparison to user.
• Open-Ended Research provides an overall assessment of a situation by synthesizing insights from diverse sources and surfacing trends and nuance.
• Timeline and Event Chains highlight what has changed over time by reconstructing sequences of events to explain how situations or relationships have evolved.

Under the hood, Ask Finch uses agentic logic to perform multiple planning steps for its inquiries. It is capable of reflecting on its own answers and retrying a query when additional context, depth or confidence is needed. Before retrieval begins, Finch-derived NLP enrichments and source metadata can narrow a massive document universe into a tightly scoped corpus. A semantic router can then choose the best research route for the question—KNN semantic search across that filtered document set, knowledgebase lookup, knowledge-graph queries and algorithms, approved external or customer tools, or a blended route combining several evidence types.

Ask Finch is a reflection of the things users have told us they need. We paired its capabilities with the operational readiness required of enterprise analytics solutions in sensitive government and commercial environments, including:

• Flexible, Federated Retrieval. Ask Finch seamlessly blends information from multiple sources to maximize coverage and trustworthiness, including web content such as news and public data; document retrieval augmented generation (RAG) pipelines, our own knowledgebase of millions of entities and billions of pieces of metadata, and secure customer APIs. Through its Model Context Protocol (MCP) server and APIs, Ask Finch can also call approved external search and extraction tools, customer repositories and other systems, then combine that evidence with Finch document, knowledgebase and graph outputs.

• Enterprise-Ready Trust & Transparency. Customers use Ask Finch for due diligence, compliance, risk reporting, and other contexts where accuracy is non-negotiable. Every answer includes linked citations to source materials and full traceability to underlying evidence.

• Fully Embeddable. Ask Finch is fully embeddable in internal tools and dashboards. Roles-based access controls (RBAC) and permissions control access to documents and data, supporting analysts, research teams, and policy professionals alike. Customer applications and AI agents can also call Ask Finch retrieval, research and graph capabilities, allowing the same research service to participate in a broader enterprise AI ecosystem.

Available as part of the Finch AI product suite, Ask Finch gives teams a research-grade AI assistant that is smart enough to reason and grounded enough for you to trust. Across hard problems like intelligence analysis, due diligence, research security, fraud detection and more, Ask Finch is a powerful tool to accelerate workflows and superpower analysts across a variety of mission-critical domains. Cloud-agnostic, Ask Finch can run in any provider cloud or on-premises hardware–with years of successfully operating on USG programs managing end-to-end applications in secure network environments. 

To learn more, get in touch with us at sales@finchai.com.