Bio-IT World Best of Show Finalists Named

March 28, 2025

By Bio-IT World Staff 

March 28, 2025 | Finalists have been named for the 2025 Bio-IT World Best of Show Awards program. More than 20 new products will be on display next week at the Bio-IT World Conference & Expo. New products will be on display from Artificial, Boulder BioComputing, Copyright Clearance Center, Chemspace, Dantech Corporation, Discngine, expert.ai, Genomenon, Globus, GRAU DATA, iuvo, Komprise, Orchestra Bio, Quantum Corporation, QuartzBio, Sinequa, Tech Mahindra, TetraScience, The Hyve, and Velsera.  

The Best of Show competition is a new product competition open to any exhibiting company at Bio-IT World. Eligible products must be commercially available and released (or updated) since the last event. Members of the Bio-IT World community will vote on their favorite new products during the event, and winners will be announced on Thursday during the evening reception.  

Please note, selection is not based on level of sponsorship or exhibit participation. 

The new products for consideration include:  

Artificial, Inc | The Artificial Platform - 1H25 Release | Booth 809 
http://www.artificial.com  

The Artificial Platform – 1H25 Release introduces enterprise-grade orchestration for modern labs, delivering real-time workflow optimization, enhanced human-in-the-loop integration, and dynamic scheduling capabilities. Unlike traditional scheduling tools, which operate in silos, Artificial provides a holistic, cloud-native orchestration system that adapts to real-time changes, integrates seamlessly with diverse hardware and software ecosystems, and optimizes operations at the lab, enterprise, and global level. This release introduces an enterprise-level dynamic scheduler that enables real-time replanning, allowing workflows to adjust to unexpected disruptions such as instrument failures, resource constraints, or shifting priorities. Artificial now supports expanded human task orchestration, incorporating technician workflows directly into automated lab processes with contextual guidance and dynamic scheduling. The AI-powered orchestration engine has been enhanced to continuously analyze lab operations, predict bottlenecks, and suggest real-time optimizations. Digital Twin visualization now offers a fully interactive, real-time 3D view of laboratory operations, improving oversight and decision-making. The platform also features expanded API connectivity, with enhanced REST APIs and Python scripting support that facilitate seamless integration with third-party hardware, LIMS, ELNs, and AI models. With the new release, Artificial extends orchestration capabilities across globally distributed labs, enabling synchronized workflows and centralized monitoring. By breaking down silos and enabling true enterprise orchestration, the Artificial Platform empowers labs to maximize efficiency, minimize downtime, and accelerate scientific discoveries. 

 

Boulder BioComputing, Inc | SciData XLerate v1.0 | Booth 319 
https://boulderbiocomputing.com/xlerate/  

Boulder BioComputing's SciData XLerate delivers on a very focused goal: make it easy to develop, run, and maintain a large, robust collection of Excel parsers - "loaders" in our parlance. Available as a command-line tool, interactive Web App, or embeddable library on Linux, Windows, or macOS, SciData XLerate provides a streamlined process for developing and deploying collections of Excel loaders. We take a "batteries included" approach that includes a collection of CRO-inspired loaders include pre-built loaders for most common CROs and assay formats (ask about our PK loaders!). SciData XLerate's "secret sauce" is its simple domain-specific language (DSL) and transformation engine that yields unique strengths: (1) Speed and simplicity: entirely new loaders can be authored quickly and easily (usually in a couple of hours), without sacrificing flexibility. (2) Flexibility: SciData XLerate can handle a TON of variation in placement, location, and formatting of data all within the same loader, without sacrificing ease of maintenance. Never again will the ad hoc insertion of a new Excel column break a loader. (3) Robustness: A powerful heuristics-based matching engine aided by user-defined controlled vocabularies allows for variation across input files ("mice", "Mouse", "muose") to be handled gracefully and robustly while ensuring standardized output ("mouse"). Additionally, extensions enable direct publication of processed reports into common data platforms such as Revvity Signals, CDD Vault, and L7's ESP. We take pride in this product tag line: The most boring but most useful application ever written." 

 

Copyright Clearance Center | RightFind Suite Growth Bundle | Booth 405 
https://www.copyright.com/solutions-rightfind-growth-bundle/  

The RightFind Suite Growth Bundle is a SaaS-based literature management offering optimized to meet the needs of small to medium-sized companies who need to efficiently access, organize and collaborate on scientific content. Innovative functionality includes:  

  • Robust searching, leveraging the National Library of Medicine’s MeSH vocabulary or ChEMBL, for quick, comprehensive searches  

  • Instant document delivery for most content provides access to scientific content when you need it 

  • Integrated rights information lets users see what they can do with content covered by their organization’s CCC Copyright License and reduces the likelihood of copyright infringement 
  • Powerful reference management features make it easy to organize your citations so you can find them later, collaborate on published content with colleagues effectively, and accurately format citations in over 10,000 styles in Microsoft Word and PowerPoint 
  • Intuitive visualizations of document delivery usage and spend demonstrate ROI for data-driven budget planning (the only literature management software on the market to do so!) 

 

Chemspace | Custom Space Generation: Freedom Space 4.0 | Booth 419 
https://chem-space.com/freedom-space  

The Custom Space generation workflow allows the creation of synthetically accessible combinatorial chemical spaces using external and proprietary reagents collections or their combinations. The workflow features 40 reaction protocols with custom-trained ML models that were designed as filters to filter the pre-processed reagent collections, which increases the synthetic feasibility of the final molecules. The workflow includes several steps, specifically it starts with collecting the raw reagents based on the specified requirements. The raw reagent pool is then analyzed with custom SMARTS patterns to select suitable compounds for the reaction protocols. Then each of the reagent types is filtered with its own ML model to remove the compounds that will potentially perform bad in the reaction. The custom space is presented in two formats: enumerated and synthon based. The enumerated space can be automatically filtered to the required physicochemical properties. The synthon-based format can be utilized for various synthon-based computational space exploration workflows which are currently being actively developed by the scientific community. 

 

Dantech Corporation | MLADU V1.5 | Booth 525 
https://www.mladu.com  

MLADU leverages the power of advanced cloud computing and storage platforms to deliver unparalleled performance, security, and scalability. Our service is supported by a robust global network infrastructure that seamlessly connects data centers worldwide, ensuring fast and reliable data transfers on a global scale. At MLADU, we don't just provide a service—we deliver an experience. Our dedicated team of data transfer specialists offers concierge-level support, ensuring your transfers are managed with precision, security, and efficiency. 

 

Discngine | Discngine Ideation SAR Slide v1.2.0 | Booth 620 
https://www.discngine.com/ideation-analytics-sar-slides  

Discngine Ideation SAR Slides is a web-based interactive tool designed to automate and accelerate SAR reporting, enabling seamless analysis and collaborative decision-making. Once a dataset is imported into the application database, a proprietary algorithm automatically fragments each compound and identifies structure or scaffold relationships with all other molecules in the dataset. The platform displays the results using highlighted floating bubbles that present either matched molecular pairs or R-Group deconvolution fragments with associated activity data, in accordance with the workflow followed by the scientists. Advanced options allow users to refine results, customize the layout and size of text, filter key compounds, and incorporate interactive charts. The generated analysis can be shared in real time with team members for live discussions or exported as high-quality images for presentations. Thanks to its cloud-native architecture, the application dynamically scales resources up or down based on workload demand, ensuring optimal performance for data processing while controlling costs based on actual usage. To further enhance integration, SAR Slides also provides a robust API, allowing seamless connectivity with existing cheminformatics and data management platforms. This reduces workflow disruptions and improves efficiency when utilizing the application within the customers’ broader informatics ecosystem. By integrating and automating SAR reporting, Discngine Ideation SAR Slides saves scientists hours of manual work each week, accelerating data-driven decision-making in drug discovery. 

 

expert.ai | expert.ai for Clinical Trials Innovation | Booth 220 
https://www.expert.ai/  

Our AI-powered solution enhances clinical trial design by integrating real-world evidence from millions of scientific publications, clinical registries, and observational studies. Using advanced AI capabilities such as symbolic AI, machine learning, large language models, and – new in 2025 – agentic AI, the solution structures and classifies vast datasets, enabling researchers to quickly retrieve insights on disease patterns, patient demographics, and treatment trends. Key capabilities include automated eligibility criteria matching, AI-powered information retrieval, and continuous data monitoring. Our hybrid AI approach combines rule-based indexing with generative AI reasoning, ensuring accurate and context-aware insights. The system seamlessly integrates structured and unstructured data sources, making it an essential tool for optimizing trial protocols, improving recruitment strategies, and accelerating study start-up timelines. 

 

Genomenon | Real World Evidence for Rare Disease 1.0 | Booth 409 
https://www.genomenon.com/  

Genomenon has launched its RWE for Rare Disease, which combines leading-edge artificial intelligence and human curation and scientific expertise to ensure the greatest efficiency and precision in extracting genetic and clinical insights from the RWD in clinical literature. Genomenon’s AI-driven service integrates advanced machine learning with human genetic expertise, ensuring the highest precision in extracting genetic and clinical insights from the scientific literature. Powering this is the Genomenon’s Genomic Graph (G3), our AI-powered knowledge system that does more than index data—it understands the relationships between genetic variants, phenotypes, treatments, and patient outcomes. Building on our vast corpus of millions of full-text references and supplemental datasets and employing an advanced LLM-RAG AI capability allows us to provide precision therapeutic developers with comprehensive RWE filling critical gaps in genetic disease understanding at both the patient and variant. Key Deliverables: Comprehensive Variant Analysis – AI-powered extraction and expert-curated classification of pathogenic, likely pathogenic, and clinically relevant VUS variants from published literature. Comprehensive Patient Analysis – Integration of genotype-phenotype correlations, case studies, treatment data, and disease progression insights, ensuring a detailed and accurate view of patient populations. The combination of our AI-driven insights with expert genetic validation powers this analysis. This hybrid approach enhances accuracy and accelerates genomic interpretation, helping drug developers design better clinical trials, improve regulatory submissions, and ultimately enhance patient outcomes. 

 

Globus | Instrument Data Automation Solution | Booth 419 
https://www.globus.org  

The Globus instrument data automation solution enables the reliable, secure orchestration of complex data management and computation processes. It increases instrument utilization and reduces time-to-discovery by transforming a mostly manual process into automated “flows” that can be run at scale. The solution is centered around a reliable task orchestration service, Globus Flows, combined with a remote computation service, Globus Compute. Delivered as PaaS (platform-as-a-Service), Globus Flows effectively solves the problem of securely and reliably automating sequences of data management and computation tasks that may span locations, storage systems, diverse compute resources, administrative domains, and timescales. Globus Compute extends the solution’s scope by facilitating data analysis on any type of compute resource—from an edge device to a supercomputer—via a uniform interface. Complementing these services is Globus Search, which enables storage of metadata, fine-grained access control for metadata creation, modification, and visibility, and metadata retrieval via search queries. Data movement and access is facilitated by Globus Transfer, a managed file transfer service used by over 600,000 users around the world. And underpinning the solution is a foundational access control service, Globus Auth, that controls access to data and computation resources under multiple security and compliance regimes. 

 

GRAU DATA | BioMed Advisor v1.0 | Booth 324 
https://www.graudata.com  

BioMed Advisor (BmA), introduced in January 2025, is a configurable AI-driven research assistant that enhances biomedical and chemical research by enabling researchers to fine-tune workflows, integrate multiple AI models, and ensure secure data handling. Unlike traditional AI solutions, BmA offers model flexibility, domain-specific customization, and interactive user control, ensuring scientific accuracy and reproducibility. KEY CAPABILITIES & APPLICATIONS BmA supports research across genomics, epigenetics, system biology, metabolomics, immunology, oncology, neurobiology, pharmacology, regenerative medicine, and precision medicine. It applies advanced AI models to bioinformatics-driven structural analysis, clinical trial optimization, radiomics, molecular imaging, and computational chemistry. WHAT MAKES BmA UNIQUE? - Custom AI Model Selection – Users can choose from commercial LLMs (Amazon, Anthropic, Meta, Microsoft, Mistral) or open-source models, maintaining full data control while optimizing performance for biomedical applications. - Flexible Deployment & Compliance – Can be hosted in the cloud or run on-premises to meet data security and compliance requirements across different regulatory environments. - Domain-Tuned Research Workflows – BmA adapts AI workflows to specific biomedical and chemical subfields, continuously improving accuracy based on new data and user feedback. - Integration of Specialized Biomedical AI Models – In collaboration with Helmholtz and Harvard Medical Labs, BmA will incorporate domain-specific AI models for advanced research applications. - Automated Analysis & Computation – AI-driven Python & R scripting, biomedical image processing, and statistical modeling streamline complex research workflows. By combining flexible AI selection, secure deployment options, and biomedical domain-specific workflows, BmA delivers faster, more precise, and reproducible research outcomes, advancing biomedical innovation. 

 

Cloud LaunchPad is a cutting-edge Infrastructure-as-Code (IaC) framework designed to simplify cloud deployment and management for life science organizations. Unlike generic cloud solutions, Cloud LaunchPad was purpose-built for biotech and life sciences, enhancing the AWS Biotech Blueprint by solving its shortcomings and providing greater flexibility for research-driven organizations. It automates AWS infrastructure provisioning, enforces security best practices, and enables seamless scalability—all while reducing technical complexity. Key Features: Automated Deployment: Eliminates manual cloud setup errors by automating provisioning using Terraform and Ansible. Pre-Configured Best Practices: Incorporate industry-standard security, access controls, and governance from the start. Scalability & Cost Optimization: Supports on-demand resource scaling while optimizing cloud spend to prevent overprovisioning. Vendor-Agnostic Flexibility: Unlike AWS-native tools like Landing Zone or CloudFormation, Cloud LaunchPad is built on open-source automation tools, making it adaptable for multi-cloud environments. Customizable & Client-Owned: Organizations retain full control over their infrastructure and automation scripts, ensuring long-term adaptability. Security & Compliance: Enforces best practices to ensure regulatory compliance, reducing security risks for biotech firms handling sensitive research data. By integrating Cloud LaunchPad, life science organizations gain a reliable, scalable, and cost-efficient cloud infrastructure, accelerating time-to-insight for critical research initiatives. 

 

Komprise | Komprise Intelligent Data Management v5.9 | Booth 219 
http://www.komprise.com  

To help biotech companies manage and protect their sensitive, unstructured data and prepare it for AI, Komprise offers Smart Data Workflow Manager, which simplifies integration of an organization’s data with any AI service and helps IT manage and protect sensitive data. Komprise Smart Data Workflow Manager (released in May 2024) includes the following capabilities: Easy data workflow wizard: Intuitive point-and-click interface helps users set up an AI data workflow, from searching the right data set, to configuring and tuning the AI service, to defining the tags and how frequently the workflow should run. Search and analytics: Komprise allows users to search across their entire data estate, on-premises and cloud, and define the precise data set they wish to use. Automated workflows: Komprise automatically runs users’ workflows and repeats the process as new data becomes available, saving time, money and effort. Pre-built integrations with AI services: Users can create a variety of AI workflows and common use cases by leveraging a catalog of pre-built integrations to popular services from Azure, AWS and others. Intuitive monitoring: Monitor hundreds of workflows from a single interface, even when leveraging AI from different clouds. See the status of each, how many files were processed, the runtime, the next scheduled run and any errors. Tags to retain context: Enrich data with tags, which then become file characteristics users can query and take actions on, so they do not have to re-run the AI service on the same data repeatedly-- a big time and money saver. For example tags could denote: project ID, PII associated with patient data, demographics data and more. Data governance and auditing: Komprise delivers data governance with auditing by maintaining details such as what data is fed, when and to which service. 

 

Orchestra Bio | R&D Management Software | Booth 716 
http://www.orchestra.bio  

Orchestra is an R&D Management System that helps biotech companies balance scientific progress with financial runway. The platform connects scientific decisions directly to business outcomes, enabling companies to model how changes cascade through timelines, resources, and runway before making critical decisions. Key features include: Scenario planning that shows how program changes impact runway and milestone timing Real-time visibility into resource allocation across functions Risk-adjusted timeline and financial modeling that accounts for technical and regulatory uncertainty Automated board-ready progress tracking against investor commitments Integration with existing scientific data systems and financial tools Cross-functional dependency mapping Early warning system for potential timeline and resource conflicts New in this release: Advanced scenario modeling capabilities that simulate how scientific decisions impact cash runway Resource forecasting that predicts bottlenecks before they occur Enhanced reporting that automatically connects program progress to investor commitments Streamlined interface for modeling risk-adjusted timelines New dashboard for executive visibility into critical program risks Enhanced collaboration features for cross functional planning Orchestra is cloud-based and integrates with common biotech workflow tools. The platform scales from seed-stage biotechs to clinical stage companies managing multiple programs. 

 

Quantum Corporation | Scalar i7 RAPTOR | Booth 507 
https://www.quantum.com  

The Scalar i7 RAPTOR is the densest, most scalable tape solution on the market. It provides biomedical organizations with an ultra-low cost, green, and secure solution for data lakes, data protection, and private and hybrid cloud deployments. Up to 200% better than traditional scale-up enterprise libraries and up to 82% better compared to newer scale-out high-density libraries, the Scalar i7 RAPTOR is a significant advancement in storage density. It has an industry-leading 2,008 usable data slots in a single tape library cabinet or frame that delivers over 36 PB of storage using LTO-9 (native 18 TB/cartridge). This density advantage provides biotech and life sciences organizations with significant cost savings by reducing their library acquisition costs, support costs, floorspace costs, power/cooling costs, and colocation costs. Further, the Scalar i7 RAPTOR design greatly simplifies service with all components being customer serviceable and replaceable in less than five minutes, reducing downtime and allowing research to continue uninterrupted. In addition, all replaceable components are hardened to minimize damage from handling, also enabling customer replacements and mitigating costly disruptions. All tape hardware is installed in the factory, simplifying onsite installation and allowing customers to self-install if desired. The product is also available as either an OpEx model with monthly, usage-based payment schedules, or an as-a-service model, which provides flexibility and scalability to satisfy a wide range of needs and goals.  

 

Quantum Corporation | ActiveScale Z200 | Booth 507 
https://www.quantum.com/en/products/object-storage/  

ActiveScale object storage has long been recognized for high durability, availability, and reliability at any scale, from terabytes to exabytes, in support of secondary storage applications including backup, archiving, and long-term data retention. With ActiveScale Z200, ActiveScale expands its reach with outstanding performance for demanding transactional, high throughput workloads. The Z200 is a scale-out object storage architecture built for ‘always available’ access and massive scale, efficiently storing billions of objects with industry-leading durability. It delivers up to 5X greater throughput (GB/s) and up to 9X more transactions (obj/s) to support high throughput ingest, genomic processing and analytics, AI pipelines, and NoSQL databases. The Z200 is the industry’s only object storage architected for both active and cold data, uniquely capable as a massive data lake, storage cloud, or archive at up to 80% lower cost than alternatives. Its high throughput ingest and unique ability to process and densely store metadata in flash for hundreds of billions of objects stored in the cold storage tier dramatically reduces footprint and cost. With fast, easy access through S3 Glacier interfaces, objects are easily restored in bulk within minutes for additional analysis, model recalibration, and re-monetization. With ActiveScale Z200, biomedical organizations achieve faster insight, discovery, and innovation. They can conduct high performance analysis of data sets at any scale, secure in-house control of digital assets, confidently preserve and protect data over decades, easily access data through standard S3 interfaces to unlock and enrich its value, and independently scale active (flash-based) and cold (tape-based) data sets. 

 

QuartzBio | QuartzBio Agent Intelligence Solution 1.0 | Booth 614 
http://www.quartzbio.com  

Launched in January 2025, Agent Intelligence is a completely novel SaaS solution, powered by QuartzBio’s Precision Medicine Intelligence Platform and Precision Medicine AI Agent Network. Conversationally interact with your sample, clinical, and biomarker data, unified within a connected data ecosystem. With natural language capabilities, Agent Intelligence delivers a faster question-to-insight-to-decision lifecycle, unlocks broader stakeholder engagement, and democratizes data consumption and insight generation for diverse stakeholders: translational, informatics, IT, operations, and executive teams.  

Capabilities include: 

  • High-level data summaries, including profiles for patient/sample subsets based on complex criteria 
  • Domain-specific visualizations: boxplots/violin plots, line charts, Kaplan-Meier plots, heatmaps, scatterplots, oncoprint plots 
  • Natural language-enabled analytics: differential expression analysis, Cox-proportional Hazards analyses, and regression analyses Agent Intelligence (AI) not only accelerates tasks, but removes technical proficiency required.  

Examples of tasks made fast and easy: 

  • Identifying differentially expressed genes: traditionally takes days to weeks by informatics experts--> reduced to <10min by non-experts with AI  
  • Survival analysis: traditionally takes days to weeks by informatics experts --> reduced to <10min by non-experts with AI  
  • Correlation analysis: traditionally takes several days by informatics experts --> reduced to <5min by non-experts with AI  
  • Visualizations: traditionally takes 1-2 days by software-proficient scientists--> reduced to <20s by non-experts with AI Agent Intelligence is a fully compliant (FAIR principles, 21CFR Part 11, GxP, GDPR) solution. It is a secure, closed implementation, maintaining confidentiality and data security. Guardrails are in place against hallucination and out-of-scope queries. Just ask a question, get an answer, and gain insights across the precision medicine value chain. 

 

Sinequa by ChapsVision | Sinequa’s AI-powered Assistants and Search Platform | Booth 221 
https://www.sinequa.com/  

The life sciences industry generates massive amounts of complex data, from clinical trials and regulatory filings to research publications and patient records. Unlocking insights from this data is critical for accelerating drug discovery, ensuring compliance, and improving decision-making. Sinequa is an advanced AI-powered enterprise search and data intelligence platform designed to help life sciences organizations harness their data efficiently. In May 2024, the company introduced Generative AI Assistants with enhanced capabilities for the industry, including:  

  • AI-Powered Assistants: Contextual and conversational search tools that streamline knowledge discovery and workflow automation. Utilizing Retrieval-Augmented Generation (RAG), they ensure AI-generated insights are accurate, secure, and grounded in real-time enterprise data. Multimodal AI search enables analysis across text, images, and other data formats for deeper insights. 

  • Scalability & Performance: Supports over 400 million documents and 50 billion records while serving up to 200,000 concurrent users with low latency. Enables rapid search and retrieval of critical data for research and clinical decisions. 
  • Security & Compliance: Enterprise-grade security with access control, auditability, and compliance with GDPR, HIPAA, and ISO 27001. Explainable AI reduces risks of bias and misinformation. 

  • Seamless Integration: Over 200 pre-built connectors integrate with major enterprise applications like Microsoft 365, SharePoint, and Salesforce, supporting multilingual global search. Sinequa empowers life sciences organizations to break data silos, enhance decision-making, and accelerate innovation. The life sciences industry generates massive amounts of complex data, from clinical trials and regulatory filings to research publications and patient records. Unlocking insights from this data is critical for accelerating drug discovery, ensuring compliance, and improving decision-making. Sinequa by ChapsVision is an advanced AI-powered enterprise search and data intelligence platform designed to help life sciences organizations harness their data efficiently. In May 2024, the company introduced Generative AI Assistants with enhanced capabilities for the industry, including: 
    • AI-Powered Assistants: Contextual and conversational search tools that streamline knowledge discovery and workflow automation. Utilizing Retrieval-Augmented Generation (RAG), they ensure AI-generated insights are accurate, secure, and grounded in real-time enterprise data. Multimodal AI search enables analysis across text, images, and other data formats for deeper insights.
    • Scalability & Performance: Supports over 400 million documents and 50 billion records while serving up to 200,000 concurrent users with low latency. Enables rapid search and retrieval of critical data for research and clinical decisions.
    • Security & Compliance: Enterprise-grade security with access control, auditability, and compliance with GDPR, HIPAA, and ISO 27001. Explainable AI reduces risks of bias and misinformation.
    • Seamless Integration: Over 200 pre-built connectors integrate with major enterprise applications like Microsoft 365, SharePoint, and Salesforce, supporting multilingual global search. Sinequa empowers life sciences organizations to break data silos, enhance decision-making, and accelerate innovation. 

 

Tech Mahindra | GenAI and AI Agents driven PV process automation | Booth 510 
https://www.techmahindra.com/  

  • End-to-End Case Intake Automation: Automates data capture from multiple sources (emails, medical records, call centers), reducing manual effort by 60% and improving processing speed.  

  • AI-Powered Triage and Prioritization: Automatically prioritizes cases based on severity and regulatory timelines, improving responsiveness by 45%. 

  • Scalable and Flexible Architecture: Cloud-agnostic design supports scalable deployment across global operations, enhancing agility and reducing operational costs by more than 50%. 

TetraScience | Tetra Data and AI Workspace | Booth 407 
https://www.tetrascience.com/  

The Tetra Data and AI Workspace transforms how scientists manage, access, and analyze their data. It co-locates automatically centralized and engineered data from the Tetra Scientific Data and AI Cloud™ with cloud-based analytics and AI applications, including commercial, home-grown, and TetraScience-developed apps. This solution enables scientists to easily access data, perform analyses, and automatically link results back to the original data—all within a single cloud-based environment. With just a few clicks, the results can also be sent to an ELN or LIMS. The Tetra Data and AI Workspace supports an expanding suite of applications grouped into three categories:  

  • Partner Apps: Many commercial applications used in labs are limited to on-premises hardware, restricting flexibility. The workspace moves these to the cloud, enabling scientists to run them in an ephemeral cloud environment using a bring-your-own-license model. 
  • Tetra Data Apps: TetraScience has developed analytics and AI-driven applications that go beyond the limitations of off-the-shelf software. Featuring interactive dashboards and AI assistants, these apps harness large-scale, liquid, purpose-engineered datasets to drive faster, more impactful scientific insights. They are built on industry best practices and shaped by extensive customer feedback to support specific scientific use cases throughout the biopharma value chain. 
  • Build Your Own: Scientific IT teams can build, deploy, and manage custom data apps using standard frameworks like Streamlit to meet unique analytical needs. 

 

The Hyve | BioChatter V0.9.0 | Booth 301 
https://www.thehyve.nl  

BioChatter is an open-source Python framework designed to bridge the gap between conversational AI and biomedical research. It provides a transparent and flexible alternative to proprietary AI platforms, empowering researchers and smaller organizations to develop their own AI-driven tools without the constraints of vendor lock-in. With a modular architecture, BioChatter allows users to create a customized AI ecosystem tailored to their specific research needs. It supports interchangeable LLMs, enabling seamless integration of both open-source and locally hosted models. Additionally, it connects with the knowledge graph framework BioCypher [3], vector databases, and public APIs like OncoKB and BLAST, making it highly adaptable to various biomedical applications. BioChatter simplifies AI deployment by offering a backend for data integration, a REST API server, and a user-friendly web interface. These features reduce the need for extensive software development, allowing researchers to focus on their work rather than on technical implementation. As an open-source project, BioChatter fosters a collaborative research environment. Its active community ensures continuous improvement, regular updates, and long-term sustainability. By prioritizing transparency, flexibility, and scalability, BioChatter enables researchers to fully leverage LLMs in biomedical research—without the restrictions of proprietary systems. 

 

Velsera | NextFlow | Booth 604 

https://velsera.com/  

Multi-instance Execution: Run workflows with multiple instances, leveraging instance hints for efficient large-scale data analysis. Spot Instance Support: Save 70–90% on cloud compute costs using spot instances, dramatically reducing execution expenses. Memoization (Reuse): Enabling significant time and cost savings when re-running analyses by avoiding redundant computations. PublishDir and Intermediary File Management: Smart handling of intermediate files and output directories, reducing redundant data storage while maintaining efficient workflow execution. Elastic Disk for Task Execution: Automatic disk scaling for optimized storage utilization, minimizing bottlenecks and reducing execution costs. Granular Task Stats: Access, search, and download logs for any process or executor, including real-time monitoring. Support for Nextflow Versions: Continuous testing and support for a wide range of Nextflow executor versions ensure compatibility and reproducibility. Multi-cloud Support: Effortlessly analyze data across cloud vendors (AWS, GCP, Azure) while ensuring interoperability. Secure & Compliant: A comprehensive solution that meets industry-standard security requirements and compliance certifications. These features significantly enhance the Nextflow experience by improving task execution performance while also reducing execution costs. Additionally, by utilizing memoization and leveraging the SevenBridges platform’s compliance and security, we offer full task reproducibility, ensuring that researchers can focus on scientific discovery rather than infrastructure challenges.