--- title: "Research & Lab — AI Workspace | Kylon" description: "Literature review, data analysis, grant writing, progress reporting. AI agents that accelerate research workflows so scientists can focus on discovery." url: "https://kylon.io/use-cases/research" language: "en" --- Use Case — Research # One person builds the system. The whole team _moves faster_. Paper tracking, data organization, report drafting — when AI agents handle the operational load, one researcher's setup becomes the team's shared knowledge base. Everyone reads the same papers, discusses in one place, and builds on each other's work. No duplicated effort. [Book a free consultation](https://cal.com/forms/5bd983bd-70e5-4afa-afd7-098b78cde6c3) [See it in action](https://kylon.io/use-cases/research#screens) Coverage — all three research team profiles Universities Literature review, grant writing, conference prep, lab operations Corporate R&D Tech trend monitoring, experiment data, internal reports, IP research Biotech & Pharma Clinical data management, regulatory drafts, collaboration tracking 01 — Why Kylon ## Turn “only I know this” into the _whole team’s advantage_. ### Tracking papers is solo work. Getting those insights to the rest of the team takes too long. In Kylon, one researcher sets up a workflow — and the latest papers from arXiv, journals, and social feeds are automatically collected, analyzed, and delivered to a shared room. Colleagues jump straight into threaded discussions on each paper. One person's tracking becomes the team's knowledge base. No scattered tools, no manual forwarding. ![AI workspace for research teams](https://kylon.io/assets/use-cases/research.jpg) Paper collection, analysis, team sharing, discussion — all in one workspace 02 — Use Cases ## Hand the information load to _AI agents_. One researcher's setup gives the whole team a shared, deduplicated research environment. Paper Feed · Live aXNew Framework for Human-AI Collaboration96 PMLLM-Based Clinical Trial Data Analysis89 𝕏MIT Lab Announces New RL Method82 🔍 ### Automated Research Collection & Team Sharing Agents periodically collect the latest papers, patents, and conference proceedings from your specified sources — arXiv, PubMed, social feeds — analyze the content, and deliver it to a shared room. One person configures it, the whole team sees the same curated feed. App + Scheduled Workflow + Shared Room Literature Map · Analysis Literature Review ✓47 papers classified ✓Citation network mapped ✓3 research gaps identified 📚 ### Literature Review & Discovery Describe your research topic and agents search, classify, and summarize relevant papers — mapping citation networks and identifying gaps in prior work. The output is a structured review ready for your team. Agent Research + Document Generation Experiment Data · Cleaned Sample Value Status EXP-041 0.847 ✓ OK EXP-042 1.203 ⚠ Flag EXP-043 0.791 ✓ OK 📊 ### Data Organization & Analysis Upload experiment results, survey data, or observation logs to a room. Agents clean, reshape, run basic statistics, flag outliers, and draft an analysis report — so you start from insights, not raw spreadsheets. Data Processing + Table + Report Proposal · Draft NSF Grant Proposal ✓Background & Objectives ✓Budget plan ✓Publication list compiled 📝 ### Grant Writing & Proposals Share your research plan outline and agents draft a proposal aligned with funder requirements — including budget tables, publication lists, and milestone timelines. Deadline tracking lives in the same workspace. Document Generation + Workflow Paper Thread · Discussion This method could work for our setup Table 3 data is interesting Let's discuss in next week's meeting 💬 ### Team Discussion on Papers Each collected paper becomes a record in a shared App, with its own discussion thread. Team members read, comment, and build on each other's insights — right where the paper lives. Tracking doesn't end at collection; the whole team digests and applies the knowledge together. App Record Threads + Team Collaboration Progress · Weekly Report Papers Reviewed23 +5 Experiments Done78% 📈 ### Automated Progress Reports Agents auto-compile weekly and monthly research progress into formatted reports — replacing the manual summary work that used to require a dedicated person. Ready for PI reviews, lab meetings, or grant interim submissions. Scheduled Workflow + Auto-Summary 03 — One Workflow ## From paper collection to team discussion, _one loop_. 1 #### Set up Configure a workflow — "Check arXiv and PubMed daily" 2 #### Collect Agents scan paper databases on schedule, collecting and analyzing. 3 #### Share Results land in a shared App — the whole team sees the same feed. 4 #### Discuss Discuss each paper in its thread — "This could work for us." 5 #### Report Agents draft a weekly summary automatically. 04 — See It In Action ## A research team’s Kylon _workspace_ Kylon workspace — paper collection, analysis, and team discussion in one place 05 — Integrations ## Connects with your research tools. 📄**Google Scholar** 📚**PubMed** 🔬**arXiv** **Gmail** **Slack** **Notion** ＋**And more** Works with major academic databases and research tools. Any service with an API can be added as a skill. 06 — FAQ ## Frequently Asked Questions #### How is research data security handled? Kylon uses enterprise-grade security infrastructure with encrypted data storage. Access is controlled at the room level, so sensitive research data stays compartmentalized. #### Can agents connect to specific paper databases? Agents can access PubMed, arXiv, Google Scholar, and other major databases directly. Any external service with an API can be integrated as a skill. #### Do I need programming skills? No. Give agents instructions in natural language inside a room — literature searches, data organization, and report drafting start immediately. #### Is it suitable for small research groups? Yes. From 3-5 person labs to large research teams. In practice, even non-technical PIs set up the system alone and the whole team benefits. #### Can it work alongside tools we already use? Yes. Kylon complements your existing tools rather than replacing them. It can reference Notion databases, trigger workflows from Slack notifications, and integrate with your current stack. 07 — More Use Cases ## More use cases [ Finance ### Finance & VC Deal sourcing, due diligence, LP reporting, portfolio monitoring. ](https://kylon.io/use-cases/topics/financial-services)[ All ### All Use Cases Browse all industry use cases. ](https://kylon.io/use-cases) ## Take your research team to the _next level_. Let agents handle paper tracking, data organization, and reporting. Your team focuses on hypotheses and discovery. Book a 15-minute demo to see how it fits your lab's workflow. [Book a free consultation](https://cal.com/forms/5bd983bd-70e5-4afa-afd7-098b78cde6c3) [All use cases](https://kylon.io/use-cases)