Today Brightwave, the agentic AI research platform built to help professionals understand the world’s most complex problems, introduced Research Agents, enabling users to control fleets of autonomous research agents from a single, unified control plane. This release launches state-of-the-art multi-agent research systems, transforming Brightwave into an IDE for information.

Inspired by system and user interface design patterns drawn from AI-powered software engineering tools like Cursor, Brightwave’s agentic technology allows the system to spawn long-running workers that can perform complex, open-ended tasks autonomously without interrupting users’ research flows.

• This technical approach enables Brightwave to infer a research plan from a user’s request, defining at inference time the sequence of activities required to accomplish a research goal, such as creating a long-form deep research report, cloning a previously-authored document, refining an existing document, or constructing an information-dense chart or evidence-linked table.
• Given a research plan, an asynchronous background agent uses a host of search, reasoning, fact-checking, planning, and presentation tools to accomplish that goal. Once the background agent believes it has accomplished its task, it submits its work product to an LLM judge, an independent system that uses powerful reasoning models to assess whether the output satisfies the original user requirements.
• Much like a software engineer would use unit tests to determine whether a piece of code satisfies a set of requirements, Brightwave uses these satisfaction criteria to ensure users receive high-quality, grounded research deliverables from every Brightwave interaction.

“The future of AI systems is all about deliverables. AI’s impact on software engineering is a great example. Lightweight, asynchronous feedback on complex work products wins against close management every time,” said Mike Conover, CEO and Co-Founder of Brightwave.

With background agents, users can define a high-level research objective with succinct natural language instructions and the system reasons independently about what data sources should be considered. For example, Brightwave can prompt the platform for reports on the real estate and energy players likely to be positively impacted by a recent executive order on AI. Using data from sources like whitehouse.gov, public filings and regulatory disclosures, Brightwave will produce a visualization-rich deep research report asynchronously. From there, users can continue to ask clarifying questions, edit and refine the substance of the report itself, or deepen their understanding of the primary sources Brightwave has discovered.

“Brightwave has transformed my research process, cutting the time it takes to analyze earnings filings and call transcripts,” said the CIO of a billion-dollar family office and Brightwave client. “By instantly extracting insights, flagging sentiment shifts, and surfacing long-term trends, Brightwave gives me back the time to focus on what matters most across the 200+ companies I cover: developing sharper, high-conviction investment theses.”

“We’ve been focused on realizing this vision since we started the company,” continued Conover. “From day one it was clear to our team that this type of autonomous research is where the market would go, and every engineering and product decision we’ve made is a reflection of that belief. That’s the reason Brightwave works better than any other product on the market – it was designed for this moment.”

Brightwave Research Agents is generally available, and new users can trial the platform directly for free—no enterprise contract required.

About Brightwave

Brightwave is the agentic AI research platform built to help professionals understand the world’s most complex problems. Designed for high-stakes workflows in finance and strategy, Brightwave combines large language models, structured reasoning, and real-time collaboration tools to help users go from messy input to finished deliverable, fast. Built for depth, scale, and control, Brightwave processes thousands of pages across datarooms, filings, transcripts, and contracts – surfacing relevant insights, generating work products, and verifying every claim at the source. Teams use Brightwave to reduce cycle times, evaluate more opportunities, and create research that’s clear, defensible, and built for decisions.

The company has raised $21 million to date and is backed by Decibel, Point72, OMERS Ventures, and executives from OpenAI, Uber, LinkedIn, and the Solana Foundation. Learn more at www.brightwave.io.

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