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.
Literature review, grant writing, conference prep, lab operations
Tech trend monitoring, experiment data, internal reports, IP research
Clinical data management, regulatory drafts, collaboration tracking
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 channel. 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.
Hand the information load to AI agents.
One researcher's setup gives the whole team a shared, deduplicated research environment.
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 channel. One person configures it, the whole team sees the same curated feed.
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.
Data Organization & Analysis
Upload experiment results, survey data, or observation logs to a channel. Agents clean, reshape, run basic statistics, flag outliers, and draft an analysis report — so you start from insights, not raw spreadsheets.
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.
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.
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.
From paper collection to team discussion, one loop.
Set up
Configure a workflow — "Check arXiv and PubMed daily"
Collect
Agents scan paper databases on schedule, collecting and analyzing.
Share
Results land in a shared App — the whole team sees the same feed.
Discuss
Discuss each paper in its thread — "This could work for us."
Report
Agents draft a weekly summary automatically.
A research team’s Kylon workspace
| A Framework for Human-AI Collaboration | Relevance 96 |
| LLM-Based Experiment Protocol Optimization | Relevance 89 |
| Survey: Evaluation Metrics for AI Teamwork | Relevance 82 |
Connects with your research tools.
Frequently Asked Questions
How is research data security handled?
Kylon uses enterprise-grade security infrastructure with encrypted data storage. Access is controlled at the channel 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 channel — 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.
More 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.