AI-Powered Drug Discovery Tools and Services

The highest performance and lowest cost CRO for in silico hit discovery and hit-to-lead optimization

AI-Powered Drug Discovery Tools

Designed to be as high performace and cost-efficient as possible to make virtual screening accessible to start-ups and academic labs on a tight budget.

50%
fewer false positives from docking
20x

cheaper FEP

10x

cheaper ultra-large virtual screening

APPLICATION

From Screening to Optimization

Accelerate Discovery with Advanced Screening

Leverage Klyne's cutting-edge tools for hit identification, powered by active learning and AI-optimized molecular docking. Screen billions of molecules efficiently, reduce false positives by 50%, and achieve unmatched cost-effectiveness with HYRDA’s molecular dynamics-driven affinity prediction.

Optimize Leads with Generative AI

Transform hits into high-potential drug candidates with Klyne’s Gen AI tools. Generate analog designs, predict ADMET properties for stability and bioavailability, and engineer selectivity to eliminate off-target effects—all with unparalleled speed and accuracy.

Our solutionS

Affinity Prediction made precise and cost-efficient with Klyne

GEN-AI
06

Multi parameter optimization with GenAI

GenAI optimizes selectivity and ADMET, accelerating hit-to-lead refinement.
KLYNE FEP
05

Klyne matches performance at 95% less cost.

Klyne FEP has a smilar RMSE as the industry standard method yet is vastly cheaper.
HYRDA
04

FEP-like accuracy with 5% of the cost

HYRDA achieves FEP-level accuracy at a fraction of the cost, optimizing drug discovery efficiency.
KLYNEDOCK
03

Reduce false positives by 50%

ML-enhanced docking improves virtual screening accuracy
ACTIVE LEARNING
02

Klyne finds 90% of the hits with 10% of the compute.

Klyne Active Learning dramatically reduces the cost of screening ultra-large chemical spaces while maintaining exceptional accuracy and efficiency.
ULTRA-LARGE VIRTUAL SCREENING
01

Maximize hit rates with ultra-large screening

Hit rates increase with the scale of the in silico screen. Klyne can ecomomically screen billions of compounds to maximize hit rates.
ULTRA-LARGE VIRTUAL SCREENING
01

Maximize hit rates with ultra-large screening

Hit rates increase with the scale of the in silico screen. Klyne can economically screen billions of compounds to maximize hit rates.
ACTIVE LEARNING
02

Klyne finds 90% of the hits with 10% of the compute.

Klyne Active Learning dramatically reduces the cost of screening ultra-large chemical spaces while maintaining exceptional accuracy and efficiency.
KLYNEDOCK
03

Reduce false positives by 50%

ML-enhanced docking improves virtual screening accuracy
HYRDA
04

FEP-like accuracy with 5% of the cost

HYRDA achieves FEP-level accuracy at a fraction of the cost, optimizing drug discovery efficiency.
KLYNE FEP
05

Klyne matches performance at 95% less cost.

Klyne FEP has a smilar RMSE as the industry standard method yet is vastly cheaper.
GEN-AI
06

Multi parameter optimization with GenAI

GenAI optimizes selectivity and ADMET, accelerating hit-to-lead refinement.
WHY KLYNE?

Partnering with Klyne can dramatically decrease advanced in silico screening cost and time. Get reliable results in days without paying annual fees for molecular modeling software, managing compute architecture, or hiring an in-house computational team

01

Unmatched Efficiency

Klyne has leveraged proprietary machine learning models to increase the computational efficiency of ultra-large-scale virtual screening and advanced affinity estimation. Our active learning method decreases compute spend by 90% during virtual screening; HYDRA (Hybrid-Driven Recalibration of Affinities) decreases compute spend by 95% compared to FEP during free energy-based affinity estimation; and our synthon-based screening method can rapidly and efficiently screen 33 billion compounds.

02

Precision Like Never Before

While conducting docking-based screens, false positives often inflate costs and delay crucial go/no-go decisions. KlyneDock is a state-of-the-art scoring algorithm that blends AI-driven structural insights and physics-based calculations to cut false positives by 50%. This improvement has a cascading effect on the R&D process, reducing the number of inactive compounds run on FEP or screened in the lab.

03

Custom Pipeline Solutions

Klyne offers a white-glove service, working to create a tailor-made workflow that will meet your project’s objectives. We can tune custom generative AI models on your experimental datasets to design new analogs optimized for multiple features simultaneously, such as binding affinity, ADMET, solubility, selectivity, and patentability.

Zack Lawrence
CEO, Founder
Luis Rios, PhD
COO, Founding Scientist
Akshat Nigam, PhD
CTO
Jeff Setiadi, PhD
Computational Chemist

Ready to elevate your research?

Join the growing list of companies that trust Klyne to power their drug discovery efforts. Contact us today to learn how we can partner with you to drive innovation and deliver results.

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