Would biomedical research be easier if all your tools worked from a single prompt?
been wondering something for a while:
why do biomedical researchers still need 10+ tools, tabs and pipelines just to run one analysis?
Literature search in one place, pathway tools somewhere else, variant interpretation on another site… and you lose context every step.
So today we launched the SciSpace BioMed Agent, our attempt to fix that fragmentation: https://www.producthunt.com/posts/scispace-biomed-agent
It’s a domain-native AI agent that connects 150+ bio tools + 100+ scientific databases and can handle things like multi-omics analysis, variant interpretation, CRISPR/cloning workflows, and protocol troubleshooting… all from one interface.
We’d love feedback from this community: does an integrated “AI co-scientist” actually solve a real pain point for you, or are we missing something?
This hits on a very real pain point. Bio research workflows are insanely fragmented, and context-switching between tools is where so much time (and accuracy) gets lost. An integrated AI agent that actually understands domain workflows—not just generic LLM answers—feels like the direction the field has needed for a long time. Curious to see how well it handles multi-omics and variant interpretation in real-world cases, but the vision makes a lot of sense.
This is a huge step in the right direction. The fragmentation in biomedical workflows is honestly ridiculous — half the time is spent jumping between tools instead of interpreting results. Love the approach of unifying everything under one agent. Curious how deep the integrations go, but this could save researchers a ton of time.
If you want to promote this tool, I think an AI marketing software called Amplift can help you.
Congrats Rohan! Really impressive work.
I’m not a scientist or a biomedical expert, but even from the outside the pain you describe feels universal.
In other fields I know better (digital marketing), the same pattern shows up: talented people waste huge amounts of time hopping between tools, losing context, and rebuilding the same workflow over and over. A “single-prompt workspace” would be just as transformative there.
So even as a non-expert, it’s clear that an integrated, domain-native AI co-scientist hits a very real problem. The direction makes total sense. Bravo 🔥
This looks incredibly useful! Bringing 150+ tools and databases into one AI-driven interface is a huge step toward reducing fragmentation in biomedical research. A unified ‘AI co-scientist’ could definitely streamline workflows and save time. Excited to see how this evolves.
Congratulations