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AI infrastructure

Ångström AI

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

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 #2899

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

source
generated read
High Signal interpretation

Ångström AI is classified as AI infrastructure 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
GenAI-based molecular simulationscomputer simulationsBiotech/Pharmagenerative AI modelsbreakthoughs
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 Ångström AI

AI infrastructure · 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.

Lavo Life Sciences

match 82

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.

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

SBX Robotics

match 66

SBX Robotics generates synthetic data that teaches robots to see. We use simulation software to create training data 10x faster and cheaper than annotation services or in-house teams. Instead of being blocked on data, our clients send 25 images from their robot’s camera, and receive 25,000 perfectly labeled synthetic training images. SBX data is ready to be used by deep learning computer vision models.

shared extracted concept terms: simulation, computer, model; shared product terms: simulation, model, client, computer; same category: AI infrastructure; shared affiliation: Y Combinator

Ditto Biosciences

match 62

Ditto Bio discovers drugs for autoimmune diseases by harnessing parasite biology. Viruses, ticks, and worms have experimented over millions of years to create proteins that control the human immune system. We use AI to identify these proteins and engineer them into next-generation autoimmune therapies. Our team is three PhD scientists from UCSF, UCSD, and UC Berkeley who have worked together for 3+ years in biotech. We have deep expertise in parasite biology, computational biology, and software

shared extracted concept terms: biotech; shared product terms: experiment, drug, phd, who; same category: AI infrastructure; shared affiliation: Y Combinator

Convexia

match 62

An AI-maximalist pharma platform. We use agents to buy drugs, run clinical trials, and sell for a profit. 10x faster and 20x leaner than incumbents. Sourcing Agent: Mines public/private databases and unstructured global data to surface overlooked preclinical candidates. Scientific Agent: Runs comp bio models (ESM-3, RFdiffusion, Boltz-2, AlphaFold) to assess safety and efficacy in silico. Commercial Agent: Analyzes FDA incentives, pricing dynamics, TAM, competitive landscape, and payer alignment

shared product terms: clinical, drug, model, pharma; shared product theme: health and clinical care; shared affiliation: Y Combinator

Mantis

match 56

Mantis is a digital twin company that combines LLMs with high-fidelity physics simulations in order to convert rare and difficult-to-access human behavior data into predictive models.

shared extracted concept terms: simulation, model; shared product terms: simulation, combine, model, physic; same category: AI infrastructure; shared affiliation: Y Combinator

AbInitio Bio

match 56

Abinitio Bio builds foundation models for biomanufacturing, validated against wet lab data. Our first model, Echo, predicts manufacturing outcomes more accurately than standard models, and any pharma or CDMO can adapt it to their own workflow instantly. By making process decisions that take 6-18 months today in hours, we help teams avoid the cost of delay on a single program.

shared extracted concept terms: model, pharma; shared product terms: model, wet, lab, pharma; same category: AI infrastructure; shared affiliation: Y Combinator