Altair’s 30-year history working with financial organizations means we understand how analytics can help users understand and maximize aspects like risk mitigation, regulatory oversight, customer engagement, operational insights, and more.

The Industrial Internet of Things (IIOT) is going full throttle, increasing connectivity, generating data, and unlocking unforeseen business potential. Altair knows how to harness this data to fuel innovation, create new opportunities, and accelerate any team’s smart manufacturing transformation.

Altair can help insurers adopt data-driven technology so they can ensure their approaches to claims processing, optimization, fraud detection, risk and loss assessment, and customer retention is streamlined and effective.

Altair’s tools have the accreditation needed to operate on government networks, and give users no-code, self-service analytics solutions that enable all users – regardless of skill level – to use data to solve security, logistics, and policy-based challenges.

Altair RapidMiner – our data analytics and AI platform – reduces healthcare IT complexities and makes claims, reimbursement processing, revenue cycle management, interoperability, patient adherence, satisfaction analytics, and physician performance analysis simpler than ever.

Altair’s data analytics solutions empower wireless, cable, and other telecommunications providers to retain customers, increase wallet share and market reach, anticipate fraud, optimize resource and network investments, and more.

To maximize data insight generated from processes, customers, and products, your team must be able to generate and share data across the organization. Our solutions support users of varying skillsets – including engineers, MLOps specialists, business analysts, and more – with a no-code, cloud-ready interface that delivers the robust capabilities they need to harness the full power of AI-driven data analytics.

Altair RapidMiner empowers organizations with unmatched data analytics and AI technology so users can develop secure, governed, and scalable strategies.

Our robust solutions empower you to write data-centric applications using the best programming language(s) for the job, and let you mix syntax from multiple languages inside a single program. Both our code and no-code tools let you create, maintain, and run models using languages like Python, R, SQL, and the SAS language. Organizations that have invested heavily in IP developed with the SAS language can use our tools to maintain and run their existing SAS language programs without needing any third-party products or middleware.

Advancements in AI and machine learning (ML) technology – along with the proliferation of simulation, testing, and field data sets – has made data science a critical component of the modern engineering and product development lifecycle. Computer-aided engineering (CAE), powered by AI, gives manufacturers the power to discover ML-driven insights, explore new solutions and designs, and develop and test cutting-edge products through collaboration and a streamlined design workflow.

As an industry leader that boasts more than 30 years’ experience in data discovery and transformation, we offer the fastest, easiest way to extract data from difficult, semi-structured data like PDFs, spreadsheets, and text files. We also offer solutions that can extract data from Big Data and other structured sources. Whether your data is on-premises or in the cloud, our tools can automate data preparation tasks –freeing up time you can spend on value-add activities.

Our machine learning (ML) and AI solutions quickly get to the granular, low-latency data that contains the precious insights you’re trying to uncover. Delivering transparency and automation through features like AutoML and Explainable AI, we streamline model building so you can have confidence in your results. Our flexible, no-code approach lets you freely configure and tune models, giving you more control than ever over the model building process.

Our solutions let you connect directly to virtually any data source so you can build analytical dashboards with a no-code, drag-and-drop interface you can share enterprise-wide. Altair BI visualization tools let organizations perform virtual analyses on large sets of historical data. Utilizing our streaming analytics tools, teams can make fast, fully informed decisions based on rapidly-changing telemetry, sensor, transaction, and trading data.