Introducing Deep Research Agent

Stravito introduces Deep Research Agent in AI Assistant to accelerate insight-based decisions

New capability delivers AI-driven answers with the depth, sourcing, and rigor that strategic business decisions demand

• Stravito announces an upgrade to AI Assistant with Deep Research Agent.

• New capability delivers AI-driven answers with the depth, sourcing, and rigor that strategic business decisions demand

• Delivers fully sourced, citation-backed answers grounded only in trusted company research — not unverified web data.

Today Stravito announces an upgrade to its AI Assistant with Deep Research Agent. 

While many solutions prioritize speed, they often deliver shallow outputs that can fall short when complex business challenges demand comprehensive analysis. Deep Research Agent addresses this, delivering answers with the sourcing, depth, and rigor that leaders require before committing to a decision.

From speed to strategic depth

With new agentic capabilities, users ask strategic business questions and Stravito AI Assistant autonomously plans multi-step research, analyzes full reports in parallel, and iteratively quality checks its own work before presenting results. It works exclusively from trusted inputs, including primary and third-party research, ensuring every output is grounded in real business context and built on reliable, high-quality data rather than unverified information from across the web. 

Analyst-depth answers, fully verifiable

The result: synthesized, analyst-depth answers that are fully sourced, citation-backed, and verifiable—so decision-makers can trust what they're acting on. This approach unlocks the value of strategic insights and enables deep, meaningful conversations on complex topics such as corporate strategy, competitive positioning, and growth levers.

A word from our CEO

Thor Olof Philogène, Founder and CEO of Stravito, comments: "Many organizations routinely make major decisions without using the intelligence they already own. That's not a technology gap, it's an organizational one. The research exists; it's just trapped in files no one can find fast enough. We've spent years solving that. But we also recognized that AI alone doesn't fix this."

Thor continues:

AI that can't be verified risks becoming a source of wrong evidence. Deep Research Agent is built to close that gap, delivering answers with the depth, sourcing, and credibility that major commercial decisions require."

–Thor Olof Philogène, Founder and CEO of Stravito

Key capabilities

Stravito Assistant's Deep Research Agent:

• Autonomously plans multi-step research workflows, interpreting questions, identifying the information required to answer, and breaking it down into sub-queries and search strategies.
• Locates relevant sources across an organization’s knowledge base, applying intelligent filtering based on metadata such as geography, tags, and document attributes.
• Conducts cover-to-cover analysis of full reports in parallel work streams, saving time and applying vision to understand charts, tables, and graphics.
• Iterates and validates insights before responding, cross-checking sources to ensure every answer is verifiable.
• Supports human-AI co-creation through customizable prompts, enabling teams to create tailored prompt libraries adjusted to their workflows.
  

The announcement follows the recent launch of Stravito AI Personas, which uses a brand’s segmentation research to simulate how real consumers would react to ideas, allowing teams to stress-test concepts before investing and proceed with concepts that win in market.

Availability

The Deep Research Agent upgrade to Stravito AI Assistant will roll out to customers during Q1 2026.

👉 Click here to learn more about Deep Research Agent in Stravito AI Assistant.