What to Look for in a Technology Partner for R&D
In today’s competitive R&D landscape, selecting the right technology partner is one of the most critical decisions your organization can make. The...
Software & AI
Scientific Software Development, Legacy Software Modernization, UI/UX,
Predictive Modeling, Custom Simulations, Web Applications,
Multimodal Knowledge Systems, API Development
Data Systems
Data Engineering, Process Engineering, Data Pipelining and Augmentation,
Workflow Automation and Redesign, Scientific Data Management Systems,
Data Capture Systems, High Volume Data Management, Database Design
Strategy & Design
R&D AI Transformation, R&D Digital Transformation, Strategic Roadmap Development,
Data System Design, Process Analysis
Infrastructure
Technical Upskilling for Scientists & Engineers, R&D Systems Integration,
R&D IT and Data Ops
Core Technologies
Machine Learning, Deep Learning, Baysian Optimization, Generative
Adversarial Networks, Graph Neural Networks
Advanced Modeling & Systems
Reasoning Models, Multi-Scale Modeling, Surrogate Modeling,
Simulation, Image Processing, Agentic AI Systems
Language & Generative AI
Natural Language Processing, Foundation Models, Generative AI,
Large Language Models
Discovery & Development
Property Prediction, Formulation Optimization, Structure Generation,
Materials Discovery, Materials Compatibility
Data Insights
Text Data Mining, Automated Data Analysis, Time Series Analysis,
Multimodal Search, Literature and Patent Search, Dashboards, Data Visualizations
Decision Support
Chatbots, Predictive Maintenance, Preventative Maintenance, AI
Recommendation Systems
Making Sense of Agentic AI | You can now watch this timely webinar on agentic AI in materials & chemistry R&D on-demand.
In today’s competitive R&D landscape, selecting the right technology partner is one of the most critical decisions your organization can make. The...
Digital transformation is a critical undertaking for science-driven enterprises. The adoption of digital technologies in R&D has proven to provide...
Digital transformation is an established trend and the catchphrase in boardrooms everywhere. However, while many companies realize the imperative to...
In the rapidly-evolving landscape of drug discovery and development, traditional approaches to R&D in biopharma are no longer sufficient.
By Vaibhav Palkar, PhD and Mike Heiber, PhD
In today's dynamic landscape of AI, it’s critical that R&D leaders and scientists are equipped with a working understanding of key AI concepts so...
What is a Bioinformatics Pipeline? Bioinformatics—used extensively in genomics, pathology, and drug discovery—combines mathematical and computational...
With the increasing importance of AI and machine learning in science and engineering, it is critical that the leadership of R&D and IT groups at...
The rise of ChatGPT and BARD based on large language models (LLMs) has shown the potential of generative models to assist with a variety of tasks....