List of Optibrium Stardrop Customers
Cambridge, CB25 9PB,
United Kingdom
Since 2010, our global team of researchers has been studying Optibrium Stardrop customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Optibrium Stardrop for Predictive Analytics from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Optibrium Stardrop for Predictive Analytics include: Southern Research Institute, a United States based Professional Services organisation with 535 employees and revenues of $100.0 million, Novalix, a France based Life Sciences organisation with 170 employees and revenues of $25.0 million, Admare Bioinnovations, a Canada based Life Sciences organisation with 150 employees and revenues of $20.0 million and many others.
Contact us if you need a completed and verified list of companies using Optibrium Stardrop, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Optibrium Stardrop customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Admare Bioinnovations | Life Sciences | 150 | $20M | Canada | Optibrium | Optibrium Stardrop | Predictive Analytics | 2024 | n/a |
In 2024, adMare BioInnovations implemented Optibrium Stardrop, deploying a Predictive Analytics application to support medicinal chemistry and drug discovery workflows. The Optibrium Stardrop deployment is focused across adMare's Canadian R&D centres and is used by medicinal chemistry teams for design decision support.
Optibrium Stardrop was configured to deliver rapid SAR analysis, predictive ADME QSAR modelling, and 3D screening workflows, leveraging the ADME QSAR and eSim3D modules cited in the case study. Functional capabilities include structure activity relationship prioritization, in silico ADME predictions, and 3D screening to inform compound design strategies.
Operationally the implementation supports medicinal chemistry and discovery teams across adMare's Canadian sites and is embedded into SAR review and design strategy processes, informing iterative compound design cycles. The deployment has helped adMare speed up SAR analysis and inform design strategies according to the Optibrium case study.
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Novalix | Life Sciences | 170 | $25M | France | Optibrium | Optibrium Stardrop | Predictive Analytics | 2019 | n/a |
In 2019, Novalix implemented Optibrium StarDrop, a Predictive Analytics application, in its France based CRO to centralize multi site chemistry, ADME and assay data and to enable real time SAR analysis, 3D visualisation and QSAR modelling across chemistry, pharmacology and DMPK teams. The deployment of Optibrium StarDrop served as a centralized analytics layer to support cross functional drug discovery decision making and to consolidate experimental and in silico data from distributed laboratory sites.
The implementation configured StarDrop capabilities for predictive modelling, QSAR pipelines, structure activity relationship exploration and interactive 3D visualisation, aligning these modules with existing chemistry and DMPK workflows. Configuration work targeted data standardization, chemical structure handling, model management and interactive SAR review to make predictive outputs consumable for medicinal chemistry and pharmacology users.
Novalix integrated Optibrium StarDrop with CDD Vault to unite electronic chemistry records and assay datasets, enabling synchronized access to experimental results and model predictions across sites. The integration supported data orchestration between chemistry, pharmacology and DMPK teams, and provided a single access point for SAR interrogation and model driven compound prioritization.
Governance changes emphasized standardized data curation and SAR review workflows to ensure reproducible model inputs and consistent decision gates during compound progression. According to the case study, the StarDrop deployment delivered reduced data retrieval times, faster decision making and improved client service delivery.
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Southern Research Institute | Professional Services | 535 | $100M | United States | Optibrium | Optibrium Stardrop | Predictive Analytics | 2024 | n/a |
In 2024, Southern Research Institute implemented Optibrium Stardrop to support medicinal chemistry and DMPK decision making. The Optibrium Stardrop deployment is categorized as Predictive Analytics and was adopted within US based R&D programs focused on anti inflammation projects, providing a standardized predictive layer for compound evaluation.
The implementation configures Optibrium Stardrop with ADME QSAR, toxicity via Derek Nexus, and SeeSAR modules to drive property prediction, compound scoring and candidate ranking workflows. Teams use these modules to prioritize improvements in metabolic stability and solubility and to reduce safety risk, aligning predictive outputs directly with medicinal chemistry design cycles and DMPK assessment processes.
Deployment moved to the cloud to enable flexible access for distributed research teams and to accelerate reporting cadence, with the cloud delivery model supporting on demand model scoring and visualization. Operational scope covers medicinal chemistry and DMPK groups within Southern Research Institute’s discovery programs, where Stardrop outputs feed routine compound triage and selection conversations.
Governance and process changes centered on embedding predictive outputs into discovery workflows and decision gates, creating repeatable handoffs between computational predictions and experimental validation. The implementation reports faster, better informed candidate selection and time and money savings in discovery workflows, outcomes that are explicitly cited by the organization as motivating and validating the Predictive Analytics deployment.
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