Achira is a digital-biology company building molecular world models to transform drug discovery and the physical sciences. Founded by John Chodera, Theofanis Karaletsos, and Zavain Dar, it blends geometric deep learning, generative AI, physics, quantum chemistry, and statistical mechanics into foundation simulation models that enable out-of-distribution prediction at the atomistic scale — a "third path" between pure machine-learning approaches and traditional molecular dynamics simulation. Achira raised a $33M Series A from Dimension, Amplify Partners, NVIDIA NVentures, and Compound. As of this profile the company publishes no public developer API, documentation, or SDKs.
Achira is profiled on the APIs.io network. Tagged areas include Company, Digital Biology, Drug Discovery, Molecular Simulation, and Machine-Learning.
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Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for
this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero:
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several others — scorable at all.
The six quality facets above are damped to 85 points between them,
because the conditional facet above carries the other
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aid: achira
deliveryModel:
model: unknown
open_source: false
commercial: false
callable_host: false
label: Delivery model not determined — needs a product licence on record
confidence: low
source:
- none
generated: '2026-08-28'
method: derived
accessModel:
pricing: unknown
onboarding: unknown
trial: false
try_now: false
public: false
label: Unknown
confidence: low
source: []
generated: '2026-07-22'
method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/achira.png
name: Achira
description: Achira is a digital-biology company building molecular world models to transform drug discovery and the physical
sciences. Founded by John Chodera, Theofanis Karaletsos, and Zavain Dar, it blends geometric deep learning, generative AI,
physics, quantum chemistry, and statistical mechanics into foundation simulation models that enable out-of-distribution
prediction at the atomistic scale — a "third path" between pure machine-learning approaches and traditional molecular dynamics
simulation. Achira raised a $33M Series A from Dimension, Amplify Partners, NVIDIA NVentures, and Compound. As of this profile
the company publishes no public developer API, documentation, or SDKs.
url: https://raw.githubusercontent.com/api-evangelist/achira/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- amplify-partners
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-17'
tags:
- Company
- Digital Biology
- Drug Discovery
- Molecular Simulation
- Machine-Learning
- Quantum Chemistry
- Computational Chemistry
- Artificial Intelligence
- Life Sciences
tags_raw:
- Company
- Digital Biology
- Drug Discovery
- Molecular Simulation
- Machine Learning
- Quantum Chemistry
- Computational Chemistry
- Artificial Intelligence
- Life Sciences
apis: []
maintainers:
- FN: Kin Lane
email: kin@apievangelist.com
- FN: APIs.json
email: info@apis.io
common:
- type: DomainSecurity
url: security/achira-domain-security.yml
- type: Website
url: https://achira.ai
- type: Careers
url: https://achira.ai/careers
- type: Contact
url: https://achira.ai/contact
x-enrichment:
date: '2026-07-19'
status: backfilled
pass: local-v1
note: backfilled from .gitignore signal + verified work evidence
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