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SYNTHIA Retrosynthesis Software
Expert-coded by chemists and engineered by computer scientists, SYNTHIA™ Retrosynthesis Software enables scientists to quickly find and easily navigate innovative and novel pathways for novel and published target molecules.
Quickly and efficiently scan hundreds of pathways to help you identify the best option according to your needs.
Explore the most cost-effective routes to your target molecules with state of the art visualization and filtering options.
Easily customize search parameters to eliminate or promote reactions, reagents or classes of molecules.
Explore unique and innovative syntheses that may be unknown for building your desired molecule.
Easily generate a list of commercially available starting materials for your synthesis.
Benefit from ISO/IEC 27001 Information Security Certification to guarantee the confidentiality, integrity, and protection of your data.
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Google Cloud Natural Language API
Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.
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Quaeris
Explore data and get instant insights by searching your corporate data - like Google for your data! Personalized, based on your interests, role, and history. Pin these insights to build personal pinboard/dashboards, share and collaborate on your insights and become truly data-driven.
Quaeris is based on GPT (Generative pre-trained transformer), the same technology that drives ChatGPT. With Quaeris you get the security and privacy that your data deserves! Get GPT for your corporate data and enjoy the power of true self-service with Quaeris!
Quaeris can be rolled out to team of 10s or 1000s of users seamlessly within a matter of days - without much need of IT, and that is why IT & data teams love us!
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NextGen Healthcare EHR
NextGen Healthcare provides ambulatory practices of all sizes award-winning solutions along with dedicated support and professional services. We align with your goals to achieve the success that results in healthier patients and happier providers.
NextGen® Enterprise EHR offers your practice configurable clinical content, intuitive workflows, and an integrated patient experience platform that incorporates telehealth. With NextGen® Mobile, your providers’ smartphones become an extension of your EHR, which saves valuable time. Managed cloud hosting keeps your practice secure and makes upgrades easy, though on-premise options are also available.
NextGen® Office is a cloud-based EHR designed to support your practice growth, save staff time, and increase patient volume. This fully integrated clinical and billing platform features specialty-specific EHR content, mobile accessibility, a revenue cycle management system, and a convenient patient portal.
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Vertex AI
Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case.
Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex Data Labeling to generate highly accurate labels for your data collection.
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Decisimo
Decisimo is a powerful decision/rule engine platform designed to streamline your business decision-making process. It enables you to effortlessly create and update rule sets and decision tables, tailoring them to your specific needs. The platform offers a drag-and-drop builder for designing decision flows, which can include components like models, rule sets, and data sources. Decisimo also allows you to deploy decision flows to regional endpoints for faster responses and compliance with data protection regulations.
You can enhance your decision flows by incorporating AI and machine learning models or connecting to external data sources through REST APIs. Decisimo is suitable for batch processing tasks such as client segmentation and prescoring, and supports data retrieval from FTP, Google Cloud Storage, or S3 buckets. The platform also provides robust unit testing capabilities to ensure accurate and reliable decision-making.
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Google Cloud Vision AI
Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.
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OpenDQ
OpenDQ is an enterprise zero license cost data quality, master data management and data governance solution. Built on a modular architecture, OpenDQ scales with your enterprise data management needs.
OpenDQ delivers trusted data with a machine learning and artificial intelligence based framework:
Comprehensive Data Quality
Matching
Profiling
Data/Address Standardization
Master Data Management
Customer 360 View
Data Governance
Business Glossary
Meta Data Management
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Veryon
We help everyone in the aviation industry get their aircraft more uptime. The key is having a better technology platform to manage everything from maintenance to manuals.
Get everything you need right at your fingertips, including real-time visibility of maintenance data, operations data, regulatory data, and more.
With an intuitive platform interface that makes it easier to find what you’re looking for, plus a team of experts with deep aviation knowledge.
With an intelligent database that leverages AI and machine learning to simplify everything from documentation to troubleshooting.
After nearly 50 years in the business, we have built a growing reputation for getting our customers more aircraft uptime.
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DataBuck
(Bank CFO) “I don’t have confidence and trust in our data. We keep discovering hidden risks”.
Since 70% of data initiatives fail due to unreliable data (Gartner research), are you risking your reputation by trusting the accuracy of your data that you share with your business stakeholders and partners?
Data Trust Scores must be measured in Data Lakes, warehouses, and throughout the pipeline, to ensure the data is trustworthy and fit for use. It typically takes 4-6 weeks of manual effort just to set a file or table for validation. Then, the rules have to be constantly updated as the data evolves. The only scalable option is to automate data validation rules discovery and rules maintenance.
DataBuck is an autonomous, self-learning, Data Observability, Quality, Trustability and Data Matching tool. It reduces effort by 90% and errors by 70%.
"What took my team of 10 Engineers 2 years to do, DataBuck could complete it in less than 8 hours." (VP, Enterprise Data Office, a US bank)
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