Research is the backbone of good decisions, but it takes time your team does not always have. Thytus gives every team member an AI research assistant that goes beyond simple Q&A to run thorough, multi-step investigations grounded in your own data.
Most AI chatbots give you a single response and call it done. Thytus agents work differently. When you assign a research task, the agent breaks it into sub-questions, searches the web and your uploaded documents, cross-references sources, and synthesizes findings into a structured report. It is the difference between getting a surface-level answer and receiving a comprehensive briefing you can act on.
Agents can run multi-step workflows autonomously. Ask an agent to research market sizing for a new product category, and it will identify relevant reports, extract key data points, compare projections across sources, and flag contradictions. The entire research trail is visible to your team in the shared workspace, so anyone can verify sources or pick up where the agent left off.
Because Thytus is model agnostic, you can route different research tasks to different AI models. Use a model with strong reasoning for financial analysis, one with large context windows for reviewing long documents, and a fast model for quick fact-checks, all in the same session.
Generic AI tools only know what is on the public internet. Thytus lets you upload PDFs, internal documents, spreadsheets, and past research directly into the workspace. Every agent in the session can reference these files, which means your research outputs are grounded in the data that actually matters to your organization.
This grounded approach dramatically reduces hallucinations. When an agent cites a number, your team can trace it back to the original source document. When it summarizes a competitor's product, the summary is based on the spec sheet you uploaded, not on outdated web data. The result is research you can trust and present to stakeholders with confidence.
See how this compares to tools like NotebookLM on our Thytus vs NotebookLM comparison, or explore how Thytus differs from Genspark on the Thytus vs Genspark page.
Research is rarely a solo activity. Product managers need input from engineers. Analysts need context from sales. Strategy teams need validation from finance. Thytus makes collaborative research seamless by putting everyone, human and AI, in the same shared session.
Team members can @mention each other to request input, react to agent findings, start threaded discussions around a specific data point, or run polls to align on next steps. Multiple AI agents can work in the same session simultaneously, so you can have one agent researching market data while another drafts a summary document.
This is the kind of AI collaboration that single-user chatbots simply cannot provide. Every insight, source, and conversation lives in one place, building an institutional knowledge base that grows with every project.
Research is only valuable when it leads to action. Thytus bridges the gap between discovery and delivery by giving your team built-in creation tools. Once your agents gather findings, you can immediately turn them into polished outputs without switching apps.
Convert agent findings into formatted documents with citations, charts, and executive summaries your stakeholders can read immediately.
Generate slide decks from research data. AI agents structure the narrative, pull key statistics, and create visual layouts you can present the same day.
Analyze spreadsheets and datasets inside the workspace. Agents can build pivot tables, run comparisons, and generate charts without exporting to external tools.
Turn research reports into AI-generated podcasts and audio briefings. Share them with busy executives who prefer listening over reading.
Sales teams also benefit from this research-to-action workflow. See how on the AI tools for sales teams page.
Give your team AI research agents that go deep, stay grounded in your data, and turn findings into deliverables. Thytus is free to start with no credit card required.