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Cybersecurity

Lavo Life Sciences

Lavo Life Sciences runs simulations of drug molecules on computers. Pharma companies use these simulations to guide their experiments and ultimately save time and money in the lab. This will de-risk and expedite clinical trials and FDA approval.

sources
1
Evidence entries preserved.
affiliations
1
Y Combinator
competitors
6
Mapped from High Signal graph features.
status
generated
D1 lookup
last updated
2026-07-15
16:41 UTC
source evidence
Why this company exists here

Y Combinator

yc-company-directory #5428

Lavo Life Sciences runs simulations of drug molecules on computers. Pharma companies use these simulations to guide their experiments and ultimately save time and money in the lab. This will de-risk and expedite clinical trials and FDA approval.

source
generated read
High Signal interpretation

Lavo Life Sciences is classified as Cybersecurity from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.

offline extraction
Product facets
Pharma companiessimulationsdrug molecules
mapping method
Similarity graph

Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.

discovery cluster

Companies similar to Lavo Life Sciences

Cybersecurity · 6 peers

A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.

Ångström AI

match 82

Angstrom AI builds GenAI-based molecular simulations to substitute wet lab experiments in the pre-clinical drug development pipeline. We are a team of 2 PhD's and 2 Professors from the University of Cambridge who decided to start a company together after we realised how to combine breakthoughs in our research in quantum-accurate models of physics and generative AI models. Our Biotech/Pharma clients can verify the efficacy and safety of new drug candidates using our computer simulations, which ma

shared extracted concept terms: simulation, pharma; shared product terms: simulation, lab, experiment, clinical; shared product theme: health and clinical care; shared affiliation: Y Combinator

Frekil

match 72

Today, it takes months to understand how drugs perform in the real world, delaying safety insights and leaving patients exposed to unknown risks and benefits for far too long. Frekil turns that months-long process into minutes, with full auditability and scientific rigor. Frekil accelerates real world evidence (RWE) generation for life sciences companies on their own clinical data from months to minutes. It connects to fragmented clinical data (EHR, Claims, etc.) and lets teams run end-to-end st

shared extracted concept terms: companie; shared product terms: drug, risk, life, science; shared product theme: health and clinical care, security and compliance; same category: Cybersecurity; shared affiliation: Y Combinator

Enjamb Labs

match 72

Enjamb runs the entire drug program for biopharma teams, from discovery to FDA approval. Pharma runs on decades of closed legacy systems like Benchling, Veeva, Medidata, and SAS, with no AI layer and no MCP to connect agents to them. So we built that connection layer in one platform. Our agents run on top of their existing systems and data, with no migration, and do the work across the whole program: clinical evidence, trial design, statistical programming, and regulatory submissions. In just 3

shared extracted concept terms: pharma; shared product terms: runs, drug, fda, approval; shared product theme: health and clinical care; shared affiliation: Y Combinator

Alphagrid

match 67

AlphaGrid helps pharma companies identify the right patients for a drug before clinical trials, improving trial success through a reusable drug-to-outcome intelligence platform.

shared extracted concepts: pharma companies; shared product terms: pharma, companie, drug, clinical; shared product theme: health and clinical care

b12 Labs

match 61

b12 makes high-value molecules that are otherwise hard to make. We help pharma companies plan and make new drugs, accelerating early-stage drug discovery from years to months. Andres built the first AI agent that can autonomously think and make molecules in a robotic lab, published in Nature Machine Intelligence (1000+ citations), and won the best paper award at the NeurIPS AI for Science conference. Zlatko is a 3x National Chemistry Olympiad champion, competed at IChO level, and medicinal chemi

shared extracted concepts: pharma companies; shared product terms: molecule, pharma, companie, drug; shared affiliation: Y Combinator

Seascape Clinical

match 55

For overwhelmed pharma clinical operations teams, Seascape Clinical automates manual and recurring clinical trial tasks to unlock more time, sanity, and ultimately, a faster clinical trial

shared extracted concept terms: pharma; shared product terms: pharma, ultimately, time, clinical; shared product theme: health and clinical care