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Atlas, an agentic research intelligence platform, announced its public launch, giving R&D teams, technology scouts, and innovation leaders a new way to turn a research question into a rigorous, decision-ready report, without the weeks of manual sourcing, synthesis, and formatting that typically stand in the way.
Atlas is built for teams who are responsible for tracking emerging technologies, mapping competitive landscapes, and scouting companies and partnerships, but who don't have the bandwidth to keep pace with how quickly those landscapes shift. The platform runs a structured, six-step pipeline: Brief, Scope, Outline, Research, Draft, and Deliver. Three human review checkpoints built in mean users approve the scope, the outline, and the final draft before the report moves to the next stage.
"The expertise was never really the bottleneck. The constraint was the weeks spent pulling sources, synthesizing them, and formatting the result into something you can put in front of leadership," said Ramy Ayoub, Atlas's Head of Product. "Atlas closes that gap: a structured research pipeline with your human oversight built in, not a chatbot you have to wrangle into something usable."
How It Works
Once a user submits a research brief, Atlas assembles specialist research agents purpose-built for the report at hand. Those agents run parallel, targeted searches across scientific and commercial sources. A dedicated Review Agent then audits the research for coverage gaps and automatically triggers a second, precisely scoped research pass — a self-healing loop — whenever gaps are found, rather than a simple retry.
The platform currently supports four report types:
Reports export to Word, PDF, and PowerPoint, and any report can be re-run on a recurring schedule to track how a market or technology area evolves over time, with each refresh saved as a versioned entry in the user's report history.
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