Today, Dystematic announces a name change to Engine AI. This better reflects our strategic focus, platform capabilities, and the market interest this is generating.
Engine AI provides its customers with agile, enterprise-grade solutions to derive value from multi-source data. Our Gen-AI powered platform is designed to reduce time to insight, facilitate data-driven decision-making, and supercharge end-user productivity without disrupting workflows.
“Data holds immense value, yet it remains inaccessible to most of us. Our mission is to humanise data, ensuring that insights generated by our platform speak to all decision makers, regardless of their technical skills.
Over the past 4 years our customers and prospects have valued the power of our technology, in particular its native AI features; this led us to refocus on the core functionality of our platform. As a result, we offer the only product with enterprise-grade guardrails that empowers users to summarise and generate content, across both numerical data and documents.
Our brand needed to evolve to reflect the platform’s capabilities and the accelerating market demand for it, so we have made the change to Engine AI.” Farhang Mehregani – CEO & Founder of Engine AI
Engine AI consists of threepowerful, interconnected “Engines”. These give the company its new name:
- Data Engine: ingests and connects multi-source data into a unified system with robust data management.
- Analytics Engine: analyses big data at scale using a proprietary layering of processing capabilities, data science and Gen-AI that connects numerical data with unstructured content, such as reports and documents.
- Visualisation Engine: enables intuitive access to insights and delivery of content via a range of mediums, providing responsive visualisations and natural language interfaces with access to both structured data and unstructured content, via one command.
Together, these create the Engine AI platform.
Pedro Rodrigues – CTO & Co-Founder of Engine AI added: “Our product, a complete end-to-end platform, was built from the ground up, sidestepping third-party technology constraints to ensure that all our solutions are enterprise-grade, scalable applications that can be implemented at speed with exceptional flexibility.
We offer a unified low-code environment where one person can rapidly transform raw data into actionable insights. This was designed to address the challenges users face building data-driven applications: disjointed tools, information ‘lost in translation’ between teams, and the need for front-end expertise. We also built our platform with an open architecture enabling users to select the Engines that best suit their needs, and integrate them with other systems such as Snowflake, Databricks or Tableau.
Our focus remains on pushing the boundaries of what our product can achieve, keeping us at the forefront of the paradigm shift in data analytics; allowing organisations of any size to unlock the power of their data by leveraging our data-centric Gen-AI product.”
Engine AI provides three areas of solution:
- Enterprise: used by large organisations to develop top-tier data & AI applications in a fraction of the time and cost of in-house solutions.
- Insights: segment-targeted applications combine intuitive dashboards and AI-powered virtual assistants that seamlessly integrate into users’ workflows, allowing them to interrogate and surface actionable insights. Engine AI’s first application under this area of solution is Invest.
- Software Development Kit (SDK): enables Engine AI’s clients to build the next generation of data & Gen-AI applications. Our PythonicSDK provides users with a powerful set of tools to extend any of Engine AI’s solutions or build their own state of the art, data-driven applications.
You can learn more about Engine AI by visiting our website at www.engineai.com
For enquires please email publicrelations@engineai.com