“AI” isn’t a GTM differentiator, clear value is.
What GTM mistake slowed you down the most?
#startups #AI #healthtech
“AI” isn’t a GTM differentiator, clear value is.
What GTM mistake slowed you down the most?
#startups #AI #healthtech
7 years in, we ask the hard questions:
• Can AI & LLMs actually speed drug discovery?
• What bold bets will reset pharma?
• How do we move from pilots → production?
Oct 23, let’s dig in.
#LifeSciences #AIinBiopharma
7 years in, we ask the hard questions:
• Can AI & LLMs actually speed drug discovery?
• What bold bets will reset pharma?
• How do we move from pilots → production?
Oct 23, let’s dig in.
#LifeSciences #AIinBiopharma
It felt great to sit down with heads of R&D, data, and operations from #pharma, #biotech, and #diagnostics hearing directly what they care about and what still trips teams up.
It felt great to sit down with heads of R&D, data, and operations from #pharma, #biotech, and #diagnostics hearing directly what they care about and what still trips teams up.
Join us to see how we unify it into a #KnowledgeGraph!
👉 bit.ly/kg-webinar_p...
Join us to see how we unify it into a #KnowledgeGraph!
👉 bit.ly/kg-webinar_p...
That’s how Sam Altman pitched #GPT5
We stress-tested that claim on a real #genomics problem - the kind scientists wrestle with daily in code and data.
Did it live up to the hype?
👉 elucidata.io/blog/gpt5-ph...
#PhD #GPT5
That’s how Sam Altman pitched #GPT5
We stress-tested that claim on a real #genomics problem - the kind scientists wrestle with daily in code and data.
Did it live up to the hype?
👉 elucidata.io/blog/gpt5-ph...
#PhD #GPT5
Time to rethink data accessibility in clinical research.
👉 bit.ly/webinar-xtract
#ClinicalTrials #Discovery #AI
Time to rethink data accessibility in clinical research.
👉 bit.ly/webinar-xtract
#ClinicalTrials #Discovery #AI
🔗 Register: bit.ly/kg_webinar
#webinar #AI #knowledgegraph #research
🔗 Register: bit.ly/kg_webinar
#webinar #AI #knowledgegraph #research
Polly KG introduces a programmable knowledge layer purpose-built for life sciences R&D. It supports natural language queries, cross-species reasoning, and domain-specific scoring within secure, enterprise environments.
Polly KG introduces a programmable knowledge layer purpose-built for life sciences R&D. It supports natural language queries, cross-species reasoning, and domain-specific scoring within secure, enterprise environments.
⚡ Accelerate discovery
🎯 Improve success rates
📊 Cut reporting friction
🔗 Register: bit.ly/kg_webinar
#knowledgegraphs #lifesciences #PollyKG #drugdiscovery #AI #webinar #science #TargetDiscovery #BiomedicalAI #HealthTech
⚡ Accelerate discovery
🎯 Improve success rates
📊 Cut reporting friction
🔗 Register: bit.ly/kg_webinar
#knowledgegraphs #lifesciences #PollyKG #drugdiscovery #AI #webinar #science #TargetDiscovery #BiomedicalAI #HealthTech
We’ll show how Polly KG answers your “what ifs” - with custom data integration, schema flexibility, and domain-specific ontologies tailored for research & discovery teams.
We’ll show how Polly KG answers your “what ifs” - with custom data integration, schema flexibility, and domain-specific ontologies tailored for research & discovery teams.
Disconnected schemas. No context. Engineers overloaded for basic queries.
We’ve been there. We’ve felt that too. And it’s exactly why we built Polly KG.
Disconnected schemas. No context. Engineers overloaded for basic queries.
We’ve been there. We’ve felt that too. And it’s exactly why we built Polly KG.
We built it to move past rigid schemas, surface NLP, and endless engineering loops - so scientists could just ask and answer questions that matter.
Join us on Aug 5 - bit.ly/kg_webinar
#webinar #AI #bioinformatics
We built it to move past rigid schemas, surface NLP, and endless engineering loops - so scientists could just ask and answer questions that matter.
Join us on Aug 5 - bit.ly/kg_webinar
#webinar #AI #bioinformatics
Every R&D conversation circled back to AI in cohorting, multi-omics, and the need for better, context-rich data.
Thanks to all who joined our session or stopped by.
Snapshots from the talk👇
Every R&D conversation circled back to AI in cohorting, multi-omics, and the need for better, context-rich data.
Thanks to all who joined our session or stopped by.
Snapshots from the talk👇
Join us to build AI agents that actually work with biomedical data.
Request your invite: bit.ly/AgenticAIwor...
#AI #biopharma #clinical #workshop
Join us to build AI agents that actually work with biomedical data.
Request your invite: bit.ly/AgenticAIwor...
#AI #biopharma #clinical #workshop
#AI #Genomics #Medicine
Register: bit.ly/alphagenomew...
Last day to join us!
#AI #Genomics #Medicine
Register: bit.ly/alphagenomew...
Last day to join us!
Join Rahul Tyagi on July 17 to see what’s next.
bit.ly/alphagenomew...
#AI #genomics
Join Rahul Tyagi on July 17 to see what’s next.
bit.ly/alphagenomew...
#AI #genomics
To our colleagues, customers, advisors, and partners in the U.S., thank you for your vision, conviction, and collaboration.
Cheers to a peaceful, safe, and happy holiday.
#IndependenceDay #4thofJuly #Happy4th #July4th
To our colleagues, customers, advisors, and partners in the U.S., thank you for your vision, conviction, and collaboration.
Cheers to a peaceful, safe, and happy holiday.
#IndependenceDay #4thofJuly #Happy4th #July4th
Here’s what it delivers:
Here’s what it delivers:
What breaks most projects? Messy data.
What makes them work? Structure, context & scale -starting at the data layer.
More soon, including a deep dive on our system: bit.ly/AgenticAIweb...
What breaks most projects? Messy data.
What makes them work? Structure, context & scale -starting at the data layer.
More soon, including a deep dive on our system: bit.ly/AgenticAIweb...
Let me know if you are here and want to chat!
Exciting times for #genomics data 🧬
@flgenomics.bsky.social
Let me know if you are here and want to chat!
Exciting times for #genomics data 🧬
@flgenomics.bsky.social
In our latest preprint, we introduced a novel Multi-Agentic AI System built to break the tradeoff between metadata quality and scalability:
In our latest preprint, we introduced a novel Multi-Agentic AI System built to break the tradeoff between metadata quality and scalability:
That's why we're excited for the Festival of Genomics & Biodata Boston 2025!
Come chat with us about tackling disjointed multi-omics data and accelerating insights.
@flgenomics.bsky.social
That's why we're excited for the Festival of Genomics & Biodata Boston 2025!
Come chat with us about tackling disjointed multi-omics data and accelerating insights.
@flgenomics.bsky.social
Our Agentic AI system extracted 23+ metadata fields with 93% recall from GEO, papers, and supplementary files across 211 studies.
Our Agentic AI system extracted 23+ metadata fields with 93% recall from GEO, papers, and supplementary files across 211 studies.
A few R&D leaders around a table, sharing what’s working, what’s not, and how to make biomedical research actually move at the speed we need.
A few R&D leaders around a table, sharing what’s working, what’s not, and how to make biomedical research actually move at the speed we need.
On June 20, we are hosting an in-person workshop in Boston on Building AI Agents with Fit-for-Purpose Data.
On June 20, we are hosting an in-person workshop in Boston on Building AI Agents with Fit-for-Purpose Data.