Free / Open-sourceAI-assisted systematic review software for screening, extraction, and evidence synthesis at scale
Free / Open-sourceAI-assisted systematic review software for screening, extraction, and evidence synthesis at scale
Cradle records 16,993 monthly visits with -22.3% month-over-month growth and Contact for Pricing pricing. Synthace records 8,817 monthly visits with +17.6% growth and Contact for Pricing pricing.

Cloud platform for design-of-experiments and lab automation that turns biological experiments into AI-ready data
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | cradle.bio | synthace.com |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 16.99K (16,993) | 8.82K (8,817) |
| MoM Traffic Delta | -4.88K (-22.3%) | +1.32K (+17.6%) |
| Primary Market & Share | 🇳🇱 Netherlands (47.6%) | 🇺🇸 United States (62.5%) |
| Direct Visits / mo | 6.21K | 2.66K |
| User Rating | 4.5 | 4.2 |
| Supported Platforms | Website | Website |

Engineer better proteins, faster, with AI
Start from a target or your own sequence and have Cradle design an optimized plate of candidates informed by your data and domain knowledge.
Improve efficacy, developability, and manufacturability in parallel rather than one property at a time, compressing time to a target profile.
Every round incorporates results from the previous one, so experimental data compounds across campaigns and prior failed programs stay useful.
Everything in the web application is exposed through the API, so computational teams can script campaigns and wire Cradle into existing pipelines.

Cloud platform for design-of-experiments and lab automation that turns biological experiments into AI-ready data
Build multifactorial experiments in the browser, choosing factors, ranges, and responses, and let the platform generate a statistically sound design that fits the number of runs you can afford.
Translate designed experiments into automated instructions for liquid handlers and dispensers already in your lab, reducing manual pipetting work and improving reproducibility.
Every run is captured with the parameters, protocol, and conditions that produced it, so results arrive as analysis-ready datasets instead of fragmented files needing manual alignment.
Field application scientists help teams run initial projects, and DOE and automation courses build in-house capability so scientists become self-sufficient over time.
Free / Open-sourceAI-assisted systematic review software for screening, extraction, and evidence synthesis at scale
Free / Open-sourceAI-assisted systematic review software for screening, extraction, and evidence synthesis at scale
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