1910 AI Biotechnology

1910 AI Biotechnology

1910 AI Biotechnology is an AI-native biotech company that accelerates the discovery and optimization of small-molecule and large-molecule drugs by integrating artificial intelligence with automated laboratory technologies.
AI drug discoveryAI biotech platformprotein structure predictionautomated drug developmentITO platformAI-driven drug design

Features of 1910 AI Biotechnology

Provide the ITO™ AI-powered platform that integrates multimodal data with automated laboratory capabilities
Supports end-to-end design, testing, and optimization of both small-molecule and large-molecule drugs
Generates novel compounds via deep learning to enable de novo drug design
Offers protein structure prediction functionality applied to drug design and enzyme engineering
Includes target discovery and validation capabilities, enabling virtual screening across numerous protein targets

Use Cases of 1910 AI Biotechnology

Pharmaceutical companies conducting new drug development use it for target identification and lead compound discovery
Researchers lacking a defined crystal structure use it to predict protein 3D structures to aid design
Biotech companies optimizing lead compounds use it for molecular generation and ADMET property prediction
When pharma companies need to shorten development timelines and reduce costs, adopt AI-driven end-to-end drug discovery workflows
Design novel therapeutic molecules for traditionally difficult targets (e.g., bispecific antibodies)

FAQ about 1910 AI Biotechnology

QWhat is 1910 AI Biotechnology?

1910 AI Biotechnology (1910 Genetics) is a biotech company focused on leveraging artificial intelligence and automation to accelerate drug discovery, with its core being the ITO™ AI-powered platform.

QWhat are the main capabilities of the 1910 AI Biotechnology platform?

The platform mainly supports end-to-end drug discovery from target identification to lead compound optimization, covering design, virtual screening, and optimization for both small molecules and large molecules (such as antibodies).

QWhat collaboration modes does the ITO platform offer?

Three main collaboration models: embedding ITO infrastructure, joint engineering development, and joint discovery collaborations from design to candidate drug delivery.

QWhat value does using the 1910 AI Biotechnology platform bring?

The core value lies in significantly shortening the drug development cycle, reducing R&D costs, and increasing success rates for hard-to-drug targets.

QWhich therapeutic areas does 1910 AI Biotechnology focus on?

The pipeline focuses on three main therapeutic areas: precision oncology, immunology and inflammation, and precision neuroscience.

QWhat is the data and algorithm foundation of the 1910 AI Biotechnology platform?

The platform is trained on large-scale biochemical databases (such as ChEMBL and ZINC) and integrates multimodal data with state-of-the-art AI models to improve predictive and generative accuracy.

Similar Tools

C3 AI

C3 AI

C3 AI is a leading enterprise AI software provider offering an integrated AI platform and industry-specific applications to help businesses accelerate digital transformation, optimize operations, and make data-driven decisions.

Tempus AI

Tempus AI

Tempus AI is a precision medicine company that uses artificial intelligence and data platforms to integrate multimodal medical data, delivering data-driven solutions for clinical decision support, medical research and drug development.

Cradle AI

Cradle AI

Cradle AI is a scientific platform that applies generative artificial intelligence to protein engineering and drug discovery, letting biologists design and optimize antibodies, enzymes and other biologics while cutting experimental cycles and boosting success rates.

Tamarind Bio AI

Tamarind Bio AI

Tamarind Bio AI is a computational biology SaaS cloud platform that integrates AI with physical computing methods to help scientists efficiently tackle complex research tasks such as protein design, antibody engineering, and drug discovery.

Atomwise AI

Atomwise AI

Atomwise AI leverages its proprietary AtomNet® platform to accelerate small-molecule drug discovery with deep convolutional neural networks, enabling efficient virtual screening and optimization of a library of over 16 billion compounds.

Ginkgo AI

Ginkgo AI

Ginkgo AI is an AI and automation platform from Ginkgo Bioworks designed to accelerate biotech R&D through autonomous laboratory systems and data services, helping scientists and research teams boost experiment efficiency and data quality.

Topo AI

Topo AI

Topo AI is an AI-powered sales development platform backed by Y Combinator, with its core offering an AI SDR assistant. The platform automates outbound sales processes to help businesses discover prospects, deliver personalized outreach, and schedule meetings, building a predictable sales pipeline. It is especially suitable for resource-constrained startups seeking to quickly kickstart their go-to-market.

Corti AI

Corti AI

Corti AI is an AI development platform for the medical and life sciences sector, designed to help developers build safe, compliant, and scalable clinical AI applications. The platform provides high-precision medical-grade AI capabilities, a multi-agent development framework, and a comprehensive suite of developer tools to accelerate application development and reduce infrastructure burden.

Ontosight AI

Ontosight AI

Ontosight AI is an AI-powered research intelligence platform built for life-science and biomedical teams. It fuses massive scientific datasets with semantic search to speed up literature discovery, drug discovery and knowledge translation—while adding shared workspaces and writing assistance for faster publication.

Verge Genomics

Verge Genomics

Verge Genomics is a biotechnology company that uses an AI-powered platform to integrate large-scale human genomics data, focused on accelerating drug discovery for neurodegenerative diseases. Its technology aims to identify novel targets and predict candidate compounds, exploring possibilities to shorten the drug development timeline.