Lila Sciences
Lila SciencesUnited States
10
Autonomous science factories
- Version
- LILA
- Cost
- Pricing is not publicly disclosed. Contact Lila Sciences for custom enterprise solutions.
- Model
- LILA
Xaira Therapeutics
Xaira Therapeutics · #6 most active of 8 in Science & Bio
Foundation-model-driven pipeline built on generative protein design and perturbation data.
67
Trust score · Mixed
3 data points checked · 2026-09-07
Current version
X-Atlas/Pisces and X-Cell
Entry cost
Enterprise/proprietary drug discovery platform, no public pricing or individual tiers
Changes / 30d
6
The short answers · verified September 12, 2026
- What is the latest version of Xaira Therapeutics?
- The current shipped version of Xaira Therapeutics is X-Atlas/Pisces and X-Cell, as of September 12, 2026.
- How much does Xaira Therapeutics cost?
- Xaira Therapeutics has no published flat entry price. Enterprise/proprietary drug discovery platform, no public pricing or individual tiers
- What AI model does Xaira Therapeutics use?
- Xaira Therapeutics runs primarily on Proprietary.
Source: Xaira Therapeutics — xaira.com · Reusable under CC BY 4.0 — cite Tomorrow
Capabilities
- Generative protein design
- Perturbation atlases
- Wet-lab loop
- predictive AI models
- agentic AI models
- virtual cells
- drug discovery
- AI models for drug discovery
- drug discovery AI
- Predictive AI models
- Agentic AI models
- Drug discovery
- Virtual cells
- Drug discovery and development
- Progressable Binders
- predictive models
- agentic models
- predictive ai models
- agentic ai models
- AI drug discovery
- Causal biological datasets
- Drug discovery platform
- causal biological datasets
- Drug discovery AI
- Preclinical development
- Preclinical Development
- Drug Discovery
- X-Atlas/Pisces
- X-Cell
- preclinical development
- Predictive models
- Drug Discovery AI
Pricing
Enterprise/proprietary drug discovery platform, no public pricing or individual tiers
Entry price over time
Geek mode
Models under the hood
- inferred
Proprietary
Xaira
Context window
—
Public API
no
Multi-model routing
no
Shared model stack
Other tracked products running on the same foundation models — a quick read on how much of the catalog moves when one of these models changes.
- ProprietaryAltos Labs · 3 products
green disclosed · amber inferred · grey unattributed. Aliases are folded into one model; provider concentration counts only models with an established vendor.
Reported scale
Reference data. Each figure is whatever the source actually said — weekly users, downloads, revenue run-rate — with its own definition and date. These are not comparable between tools and are never used to rank anything.
No public usage figure on record for this product.
Also in Science & Bio
All Science & BioChai
Chai DiscoveryUnited States
9
Antibody and complex design
- Version
- 1
- Cost
- Pricing is not publicly disclosed (enterprise/license agreements)
- Model
- Chai-1
FutureHouse
FutureHouseUnited States
8
Agents for scientific literature
- Version
- Robin
- Cost
- Free / Non-profit organization building open research tools and hosting a fellowship
- Model
- Multiple
Boltz
MITUnited States
7
Open structure prediction
- Version
- Boltz API
- Cost
- Pricing is not publicly disclosed (contact sales or try API)
- Model
- Boltz-2
Altos Labs
Altos LabsUnited States
6
Cellular rejuvenation research
- Version
- Cellular Rejuvenation Programming
- Cost
- Biotech company, not a software product. No commercial software/API pricing.
- Model
- Proprietary
ESM3
EvolutionaryScaleUnited States
3
Frontier protein language model
- Version
- ESM3
- Cost
- Available through the Biohub Platform API, with an open-source version (ESM3-open) available on GitHub.
- Model
- ESM Cambrian
Change history
- capability
- capability
- capability
- capability
New capabilities: Preclinical Development, Drug Discovery, X-Atlas/Pisces
25 tracked29 tracked · +Preclinical Development, Drug Discovery, X-Atlas/Pisces, X-Cell
source - version
- capability
New capabilities: Drug discovery AI, Preclinical development
23 tracked25 tracked · +Drug discovery AI, Preclinical development
source - capability
New capabilities: causal biological datasets
22 tracked23 tracked · +causal biological datasets
source - capability
- capability
New capabilities: Causal biological datasets
20 tracked21 tracked · +Causal biological datasets
source - capability
- capability
New capabilities: predictive ai models, agentic ai models
17 tracked19 tracked · +predictive ai models, agentic ai models
source - capability
- capability
- capability
New capabilities: Drug discovery and development, Progressable Binders
13 tracked15 tracked · +Drug discovery and development, Progressable Binders
source - capability
New capabilities: Predictive AI models, Agentic AI models, Drug discovery
9 tracked13 tracked · +Predictive AI models, Agentic AI models, Drug discovery, Virtual cells
source - capability
- capability
New capabilities: AI models for drug discovery
7 tracked8 tracked · +AI models for drug discovery
source - capability
New capabilities: predictive AI models, agentic AI models, virtual cells
3 tracked7 tracked · +predictive AI models, agentic AI models, virtual cells, drug discovery
source - version
- capability
New capabilities: X-Cell virtual cell model, causal perturbation model, drug discovery AI
2 tracked5 tracked · +X-Cell virtual cell model, causal perturbation model, drug discovery AI
source - version
- capability
New capabilities: AI drug discovery, computational biology platform
2 tracked4 tracked · +AI drug discovery, computational biology platform
source
Xaira Therapeutics compared
Straight head-to-head pages against the busiest products in Science & Bio.
How to cite this page
Free to cite and reuse under CC BY 4.0. Permalink: https://tomorrow.aliensquad.ai/tools/xaira
APA
Tomorrow. (2026). Xaira Therapeutics — version, pricing and model stack [Data set entry]. AlienSquad. Retrieved 2026-09-13, from https://tomorrow.aliensquad.ai/tools/xaira
BibTeX
@misc{tomorrow-tools-xaira,
author = {{Tomorrow}},
title = {Xaira Therapeutics — version, pricing and model stack},
year = {2026},
publisher = {AlienSquad},
howpublished = {\url{https://tomorrow.aliensquad.ai/tools/xaira}},
note = {Accessed: 2026-09-13}
}