Ginkgo Bioworks Launches Ginkgo Datapoints to Transform AI Model Training in Biology
Ginkgo Bioworks (NYSE: DNA) has launched Ginkgo Datapoints, a service designed to enhance AI model training in biology. This initiative aims to generate large, high-quality biological datasets quickly and cost-effectively. The service includes products for protein characterization and functional genomics, with the latter being the flagship offering. Ginkgo Datapoints addresses key challenges in AI model training for biology, including data availability, quality, and uniformity.
The service offers flexibility, customizability, scalability, and speed, delivering millions of data points in as little as three weeks. It leverages Ginkgo's automation and data management infrastructure to provide cost-efficient, high-quality data with volume discounts for larger datasets. Customers retain ownership of the generated data through fee-for-service pricing, making it an attractive option for various entities in the biotech and tech industries.
Ginkgo Bioworks (NYSE: DNA) ha lanciato Ginkgo Datapoints, un servizio progettato per migliorare l'addestramento dei modelli AI in biologia. Questa iniziativa mira a generare grandi dataset biologici di alta qualità in modo rapido ed economico. Il servizio include prodotti per la caratterizzazione delle proteine e la genomica funzionale, con quest'ultima che rappresenta l'offerta principale. Ginkgo Datapoints affronta le principali sfide nell'addestramento dei modelli AI per la biologia, inclusi disponibilità dei dati, qualità e uniformità.
Il servizio offre flessibilità, personalizzazione, scalabilità e velocità, fornendo milioni di dati in sole tre settimane. Sfrutta l'infrastruttura di automazione e gestione dei dati di Ginkgo per fornire dati di alta qualità a costi contenuti, con sconti per volumi su dataset più grandi. I clienti mantengono la proprietà dei dati generati attraverso una tariffa per servizio, rendendolo un'opzione interessante per varie entità nei settori biotech e tecnologico.
Ginkgo Bioworks (NYSE: DNA) ha lanzado Ginkgo Datapoints, un servicio diseñado para mejorar el entrenamiento de modelos de IA en biología. Esta iniciativa tiene como objetivo generar grandes y conjuntos de datos biológicos de alta calidad de manera rápida y rentable. El servicio incluye productos para la caracterización de proteínas y genómica funcional, siendo esta última la oferta principal. Ginkgo Datapoints aborda los desafíos clave en el entrenamiento de modelos de IA para biología, incluyendo disponibilidad de datos, calidad y uniformidad.
El servicio ofrece flexibilidad, personalización, escalabilidad y velocidad, entregando millones de puntos de datos en tan solo tres semanas. Aprovecha la automatización de Ginkgo y la infraestructura de gestión de datos para proporcionar datos de alta calidad a bajo costo, con descuentos por volumen para conjuntos de datos más grandes. Los clientes retienen la propiedad de los datos generados a través de tarifas por servicio, lo que lo convierte en una opción atractiva para diversas entidades en las industrias biotecnológica y tecnológica.
징코 바이오웍스(Ginkgo Bioworks, NYSE: DNA)는 생물학에서 AI 모델 훈련을 강화하기 위해 설계된 서비스인 징코 데이터포인트(Ginkgo Datapoints)를 출시했습니다. 이 이니셔티브는 대규모 고품질 생물학적 데이터 세트를 신속하고 경제적으로 생성하는 것을 목표로 합니다. 이 서비스는 단백질 특성 분석 및 기능 유전체학에 대한 제품을 포함하며, 후자는 주력 상품입니다. Ginkgo Datapoints는 생물학을 위한 AI 모델 훈련의 주요 문제인 데이터 가용성, 품질 및 일관성을 해결합니다.
이 서비스는 유연성, 맞춤화, 확장성 및 속도를 제공하며, 단 3주 만에 수백만 개의 데이터를 제공합니다. 징코의 자동화 및 데이터 관리 인프라를 활용하여 비용 효율적이고 고품질의 데이터를 제공하며, 대량 데이터 세트에 대한 할인도 적용됩니다. 고객은 서비스 요금을 통해 생성된 데이터의 소유권을 유지할 수 있어 생명공학 및 기술 산업의 다양한 기관에 매력적인 옵션이 됩니다.
Ginkgo Bioworks (NYSE: DNA) a lancé Ginkgo Datapoints, un service conçu pour améliorer la formation des modèles d'IA en biologie. Cette initiative vise à générer des grands ensembles de données biologiques de haute qualité rapidement et de manière économique. Le service inclut des produits pour la caractérisation des protéines et la génomique fonctionnelle, ce dernier étant l'offre phare. Ginkgo Datapoints répond aux principaux défis de la formation des modèles d'IA en biologie, notamment en matière de disponibilité des données, de qualité et d'uniformité.
Le service offre flexibilité, personnalisabilité, évolutivité et rapidité, délivrant des millions de points de données en aussi peu que trois semaines. Il tire parti de l'automatisation de Ginkgo et de son infrastructure de gestion des données pour fournir des données de haute qualité à coût réduit, avec des remises sur volume pour des ensembles de données plus importants. Les clients conservent la propriété des données générées grâce à une tarification par service, ce qui en fait une option attrayante pour diverses entités dans les secteurs biotechnologique et technologique.
Ginkgo Bioworks (NYSE: DNA) hat Ginkgo Datapoints ins Leben gerufen, einen Service, der darauf abzielt, das Training von KI-Modellen in der Biologie zu verbessern. Diese Initiative verfolgt das Ziel, große, hochwertige biologische Datensätze schnell und kostengünstig zu erstellen. Der Service umfasst Produkte zur Proteincharakterisierung und funktionellen Genomik, wobei letzteres das Hauptangebot darstellt. Ginkgo Datapoints geht auf die zentralen Herausforderungen beim Training von KI-Modellen in der Biologie ein, einschließlich Datenverfügbarkeit, -qualität und -einheitlichkeit.
Der Service bietet Flexibilität, Anpassbarkeit, Skalierbarkeit und Geschwindigkeit und liefert in nur drei Wochen Millionen von Datenpunkten. Er nutzt die Automatisierung und Datenmanagement-Infrastruktur von Ginkgo, um kosteneffiziente, hochwertige Daten bereitzustellen, mit Mengenrabatten für größere Datensätze. Die Kunden behalten das Eigentum an den erzeugten Daten durch ein Gebührenmodell für Dienstleistungen, was ihn zu einer attraktiven Option für verschiedene Akteure in der Biotech- und Tech-Industrie macht.
- Launch of Ginkgo Datapoints service to enhance AI model training in biology
- Ability to generate large-scale biological datasets quickly and cost-effectively
- Offering of volume discounts for larger datasets, improving cost efficiency
- Potential to accelerate drug discovery and development processes
- Customers retain ownership of generated data through fee-for-service pricing
- None.
Insights
The launch of Ginkgo Datapoints represents a significant advancement in the biotechnology sector. By addressing the critical challenges of data availability, quality and uniformity for AI model training in biology, Ginkgo Bioworks is positioning itself as a key player in the AI-driven biotech revolution.
The ability to generate large-scale, high-quality biological datasets rapidly and cost-effectively could accelerate drug discovery and development processes. This could potentially reduce time-to-market for new therapies and improve the efficiency of target identification and validation. The scalability and flexibility of the platform may also lower barriers to entry for smaller biotech firms, potentially fostering innovation across the industry.
However, it's important to monitor how this service impacts the competitive landscape and whether it leads to a concentration of data resources among larger players who can afford large-scale data generation.
Ginkgo Datapoints addresses a critical bottleneck in AI-driven biological research. The availability of large, high-quality datasets is essential for training robust AI models, particularly in complex biological systems. By offering customizable, scalable data generation services, Ginkgo is enabling more sophisticated and potentially more accurate AI models in biology.
The emphasis on data quality and uniformity is crucial, as it can significantly enhance the reliability and generalizability of AI models. The ability to rapidly generate millions of datapoints could lead to more comprehensive and nuanced understanding of biological processes, potentially uncovering novel insights that were previously inaccessible.
However, it's important to consider potential biases in the data generation process and ensure that the datasets are representative of diverse biological contexts to avoid skewed AI model outputs.
The launch of Ginkgo Datapoints could significantly impact Ginkgo Bioworks' revenue streams and market position. By offering a high-demand service in the rapidly growing field of AI-driven biotechnology, Ginkgo is diversifying its business model and potentially creating a new, scalable revenue source.
The competitive pricing strategy, coupled with volume discounts, could drive rapid adoption and market share growth. However, investors should closely monitor the capital expenditure required to maintain and expand the infrastructure necessary for this service, as well as the profit margins as the service scales.
The potential to attract a diverse customer base, from biopharmas to big tech companies, could enhance Ginkgo's market stability and growth prospects. However, it's important to assess the long-term sustainability of this business model and its ability to maintain a competitive edge in a fast-evolving field.
The Functional Genomics product, the flagship offering under Ginkgo Datapoints, available now, delivers large-scale perturbation datasets that power our partners' AI models of cell and disease biology for use in target identification and validation and drug discovery. Ginkgo Datapoints addresses some of the most significant challenges in the industry for AI model training: data availability, quality, and uniformity.
Jason Kelly, CEO of Ginkgo Bioworks: "The launch of Ginkgo Datapoints marks a significant step forward in our mission to make biology easier to engineer. With Ginkgo Datapoints, we're passing on our economies of scale to our customers by generating large, high-quality datasets for our customers at a price per dataset that makes training biological foundation models feasible. Ginkgo Datapoints is more than just a service—it's a commitment to driving innovation and accelerating the development of new therapies and solutions across the biotech industry."
John Androsavich, General Manager of Ginkgo Datapoints: "There's a burgeoning market of drug and product developers who want to take advantage of AI, and their models are ravenous for data. With Ginkgo Datapoints, we're answering the call for how to generate the data this new era of life sciences needs. We're focusing Ginkgo's massive infrastructure to do biological data generation at AI scale, allowing our Datapoints customers to make bold bets in model training that will meaningfully impact drug discovery for target ID or fields like antibody therapeutics. Our goal is to eliminate the data bottlenecks slowing down AI-driven advancements in biology, and I'm excited about the team and technologies we've assembled for it."
Ginkgo Datapoints products are the next evolution of Ginkgo's previously launched Lab Data-as-a-Service offerings. These products will offer key features that are of critical importance to customers building AI for biology, ranging from biopharmas to techbio to big tech companies. Ginkgo Datapoints' Functional Genomics product is designed for:
- Flexibility and Customizability: Customers provide their sequences or library inputs and choose the dataset design that's right for them, selecting from a number of ready-to-go product parameters. Variables include dataset size, cell lines or primary cells of choice, assay readouts, and data format and labeling preferences. Customers can also consult with Ginkgo's AI experts to receive design recommendations for their application, customized to whether the datasets will be used to train foundation models or task-specific models, to validate existing models, or pursue another outcome such as hit discovery.
- Scalability and Speed: Leveraging Ginkgo's state-of-the-art automation and backend data management infrastructure, Ginkgo Datapoints can routinely deliver millions of data points by screening customer libraries to generate rich, high quality, neatly-compiled high throughput transcriptome, cell painting, or other omics profiling data in as little as three weeks.
- Data Quality and Cost Efficiency: Due to the scale economies of Ginkgo's highly automated lab, Ginkgo Datapoints can offer volume discounts as datasets grow in size, making it feasible to feed data-hungry AI models.
- Attractive Deal Terms: Customers own the data generated by Ginkgo Datapoints, acquiring it through fee-for-service pricing.
Ginkgo Datapoints embodies Ginkgo's mission of making biology easier to engineer by unlocking the full potential of AI in biology. By generating the data that the industry needs, Ginkgo Datapoints is poised to be a vital resource for researchers and companies leveraging AI and machine learning for drug discovery and beyond.
Unlock AI. Unlock Biology. Learn more about Ginkgo Datapoints and how we can accelerate your AI efforts with our cutting-edge data services here.
About Ginkgo Bioworks
Ginkgo Bioworks is the leading horizontal platform for cell programming, providing flexible, end-to-end services that solve challenges for organizations across diverse markets, from food and agriculture to pharmaceuticals to industrial and specialty chemicals. Ginkgo Biosecurity is building and deploying the next-generation infrastructure and technologies that global leaders need to predict, detect, and respond to a wide variety of biological threats. For more information, visit ginkgobioworks.com and ginkgobiosecurity.com, read our blog, or follow us on social media channels such as X (@Ginkgo and @Ginkgo_Biosec), Instagram (@GinkgoBioworks), Threads (@GinkgoBioworks), or LinkedIn.
GINKGO BIOWORKS INVESTOR CONTACT:
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Forward-Looking Statements of Ginkgo Bioworks
This press release contains certain forward-looking statements within the meaning of the federal securities laws, including statements regarding the capabilities and potential success of Ginkgo Datapoints and Ginkgo's cell programming platform. These forward-looking statements generally are identified by the words "believe," "can," "project," "potential," "expect," "anticipate," "estimate," "intend," "strategy," "future," "opportunity," "plan," "may," "should," "will," "would," "will be," "will continue," "will likely result," and similar expressions. Forward-looking statements are predictions, projections and other statements about future events that are based on current expectations and assumptions and, as a result, are subject to risks and uncertainties. Many factors could cause actual future events to differ materially from the forward-looking statements in this press release, including but not limited to: (i) volatility in the price of Ginkgo's securities due to a variety of factors, including changes in the competitive and highly regulated industries in which Ginkgo operates and plans to operate, variations in performance across competitors, and changes in laws and regulations affecting Ginkgo's business, (ii) the ability to implement business plans, forecasts, and other expectations, and to identify and realize additional business opportunities, (iii) the risk of downturns in demand for products using synthetic biology, (iv) the uncertainty regarding the demand for passive monitoring programs and biosecurity services, (v) changes to the biosecurity industry, including due to advancements in technology, emerging competition and evolution in industry demands, standards and regulations, (vi) the outcome of any pending or potential legal proceedings against Ginkgo, (vii) our ability to realize the expected benefits from and the success of our Foundry platform programs, (viii) our ability to successfully develop engineered cells, bioprocesses, data packages or other deliverables, and (ix) the product development or commercialization success of our customers. The foregoing list of factors is not exhaustive. You should carefully consider the foregoing factors and the other risks and uncertainties described in the "Risk Factors" section of Ginkgo's annual report on Form 10-K filed with the
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