Most AI tools prioritize speed, often at the expense of accuracy, structure, and traceability. For solo professionals, transforming a basic AI-generated response into a polished investor deck or market report can still require substantial time and effort.
The core issue is not a lack of intent or capability, but limited access. While general-purpose AI platforms offer convenience, they rarely provide the level of rigor needed for high-stakes research. At the same time, enterprise-grade alternatives often remain out of reach due to cost and complexity.
Skywork is positioned as a solution to this gap, offering structured, citation-backed research outputs designed for professional use—without requiring enterprise systems or subscriptions.
The Gap in AI Research: What Solo Professionals Are Missing
Unlike general-purpose AI tools, Skywork integrates directly into Docs, Slides, and Sheets, not as a chatbot, but as a structured research engine.
Powered by Skywork’s updated Deep Research Engine, the platform generates consulting-grade deliverables, professionally formatted, citation-backed documents ready for investor decks, boardroom briefings, strategic reports, or academic submissions without requiring users to leave their existing workflow or invest in additional software.
Skywork is for people who need to cite sources, maintain consistent formatting, and know their research will hold up under scrutiny.
Skywork: Institutional-Grade Research Without the Enterprise Barrier
Good research isn’t just content. It’s structured, verifiable, and built to withstand client, reviewer, or regulator questions. Below are the core technical features that distinguish the platform from general-purpose AI tools.
Access to Verified Professional Databases
Skywork provides access to over 100 professional-grade sources, including real-time market data, patent archives, and SEC filings. Comparable platforms, such as Bloomberg or financial modeling databases, can cost upwards of $24,000 annually, placing them beyond reach for most individuals and small teams.
Every data point is traceable to its source, meeting the standards expected by investors, academic reviewers, and regulatory bodies.
Unlike general-purpose AI tools that summarize unverified web content, Skywork prioritizes data provenance. Its outputs are structured, citation-backed, and ready for scrutiny.
Multimodal Input and Structured Output
The updated Deep Research R1V3 engine accepts text, images, PDFs, and videos, enabling multimodal input that reflects how professionals handle diverse real-world data sources. It then returns structured research through multimodal output, delivering results in formats like Word docs, Google Slides, podcast scripts, and spreadsheets.
This multimodal design allows Skywork to interpret context more accurately and deliver research in the same formats professionals use across finance, law, and education. Processing diverse content types is now central to how modern AI research systems support complex workflows.
Automated Visualizations and Flexible Export Options
With Skywork, turning research into polished visuals is part of the workflow, not an afterthought. Charts, graphs, and dashboards are generated automatically from your data, and are directly added into reports or presentations—no extra design tools, no manual tweaking.
Because the platform is end-to-end, you can go from raw input to a full presentation without leaving Skywork. Everybody's finished reports and slides can be exported to PDF, Google Docs, PowerPoint, or Sheets or played in full-screen mode directly inside the platform for a seamless, meeting ready experience. This approach removes the usual back-and-forth between apps and cuts production time to a fraction.
