Eureka AI
Foundational platform powering all business AI applications
The Eureka AI platform powers all SymphonyAI applications, seamlessly integrating generative and predictive AI capabilities. The Eureka architecture gives SymphonyAI the power to rapidly bring to market tailored AI software and intelligent copilots for every industry, setting a new standard in enterprise AI.
Relevant AI, rapid results
Use case-specific AI applications fit into workflows seamlessly, making AI adoption easy. Whether it’s helping retailers forecast demand with precision, directing financial crime investigators to the most relevant alerts, or enabling service agents to resolve cases in record time, SymphonyAI has a trusted AI assistant tailor-made for every user.
Less friction, more results
Eureka provides the foundation for SymphonyAI’s pre-built, industry-specific AI software. Unlike one-size-fits-all general-purpose AI platforms that require custom development and expensive services contracts, SymphonyAI builds dedicated AI software products that use industry-specific data, knowledge graphs, predictive models, LLMs, orchestrators, and agents—all optimized to deliver immediate value for unique industry use cases. Thoughtful and dynamic UX and natural language-based interactions standardize usability and accelerate adoption for users of all skill levels.
Streamlined AI for real, relevant results
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100
Data engineers, ML engineers, data scientists
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3.5 years
Platform development
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30+
Patents
Layer deep dive
Explore the world’s best-in-class enterprise AI platform and the only one dedicated to vertical AI applications
Intelligent Data layer
Seamlessly handle structured and unstructured data at scale
Get the most out of your enterprise data. Eureka AI integrates and processes both structured and unstructured data, providing a robust foundation for AI-driven decision-making at scale.
Predictive AI layer
Industry-relevant intelligence
Pre-tuned models are optimized for your industry’s unique challenges, delivering high accuracy and performance from day one. Powered by vast, curated datasets and specialized data connectors, Eureka AI enhances model relevance so your teams can make informed decisions faster.
Generative AI layer
Trustworthy, transparent AI
Automate workflows, boost productivity, and free your teams to focus on strategic initiatives. Built on a foundation of transparency and control, AI copilots and agents provide full explainability, so you can understand and feel confident in every conclusion and action.
Dynamic UX layer
Easy-to-use AI
Break through the AI adoption barrier. Eureka AI’s dynamic UX adapts to your specific industry needs and workflows to present information clearly. The centralized design system ensures a consistent, intuitive experience across all skill levels, making powerful AI accessible and actionable for every user.
Access relevant data and ensure security
Cloud scale and security
Ensure data security at rest and on the network with native support for cloud, hybrid, or on-prem operations and seamless integration with Microsoft Azure, AWS, and Google Cloud platforms.
Data connectors
Easily access all relevant data sources and formats across retail, CPG, financial services, manufacturing, media, and ITSM with industry-specific data connectors.
Precise deployment
The Eureka ML platform supports the most popular ML frameworks and libraries and a python SDK to help ML engineers and data scientists quickly fine-tune, train, deploy and monitor models as needed. The platform runs training and inference loads, using both CPUs and GPUs as needed. The platform’s purpose-built MLOps tools manage ML algorithms and models, so applications are as accurate and powerful as the day they went live, and learn over time.
Automatic feedback
Built-in tools help tune ML models to make sure they are operating within set constraints
Dynamic learning
Use historical data or fresh, real-time data to unearth new elements that should be incorporated
SymphonyAI CTO Raj Shukla on the Eureka AI platform
Predictive and generative AI capabilities
Generative AI and LLM ops
Gain industry knowledge
Enable a deeper understanding of industry concepts, metrics, and terminology with LLMs fine-tuned on proprietary data and industry knowledge graphs.
Inform content generation and reporting
Better understand the who, what, and why behind industry-specific trends to generate summaries, reports, and charts that are customized and impactful.
Improve reasoning and logical deduction
Leverage industry knowledge graphs and training data to craft informative and specific personas. Improve predictions and decisions with a thorough understanding of cause-and-effect relationships.
Power action with tool invocation
Simplify reasoning and fuel action by interacting with API-driven first-party insights and external market data, services, and tools.
Enhance enterprise security and privacy
No data leaves compliance boundaries. LLMs deployed in compliant sandboxes. No data used to train models.
Authenticate enterprise access control
Ensure access is controlled with authentication protections built at data and API layers, and confirming data doesn’t reach LLMs without permission.
Ground decisions in data and facts
Increase the credibility of answers by invoking the right predictive models, which are grounded in data and facts, and not relying on generic LLM knowledge.
Secure and encourage collaboration
Increase the safety and security of collaboration and reporting by utilizing built-in authentication, which is shareable at the level of every insight.
ML pipelines
Guide machine learning workflows
Improve data preparation, model building, training, experimentation, validation and serving for inference.
Enhance training, batch, and real-time inference
Easily build on flexible model training capabilities and deployment of ML models for batch or real-time high-volume transactions.
Develop feature engineering and storage
Successfully build, store, share, and reuse curated features across machine learning pipelines.
Support leading ML frameworks
Effectively operate all the latest frameworks—TensorFlow, scikit-learn, PyTorch, Keras, Apache MXNet, Huggingface, Spark ML, Torch, and more.
Enable SDK and REST API automation
Efficiently optimize processes by using SDK to automate data ingestion, building, training, and model deployment.
Ease explainability
Improve visibility and transparency to help teams understand the reasoning behind model predictions and recommendations.
Reinforce MLOps
Support deployment, oversight, tracking, and scaling of ML pipelines and models while preventing model drift, all from one location.
Data pipelines
Access multiple sources of data
Improve output by accessing industry-specific data sources with over 200 data connectors to enterprise and external databases, tools, and applications.
Continuously improve data
Consistently enrich and transform data to create a single view using SDKs or drag and drop capabilities.
Improve data quality and governance
Effectively manage data and pipelines through robust quality gates, lineage tracking, and governance.
Accommodate streaming and batch scenarios
Adeptly flex to process batch or streaming data scenarios in accordance with its input frequency.
Manage a petabyte-scale lakehouse
Easily contend with and scale large volumes of data with an open table, format-based lakehouse that operates at petabyte scale in production environments.
Security and privacy capabilities
Role-based access control
Ensure data security and privacy with role-based access control built into every level of SymphonyAI’s platform and applications.
Extensive observability
Gain full oversight throughout audit trails with alerting mechanisms built into every level of SymphonyAI’s platform and applications.
Privacy standards compliance
Support and meet all standard security and privacy requirements, including GDPR and CCPA, by utilizing SymphonyAI’s platforms and applications.
Discover the value of SymphonyAI
AI Platform FAQs
The team at SymphonyAI is here to answer your questions about AI for business and our solutions. Here are some of the most common.
What is the SymphonyAI Eureka AI Platform?
The Eureka AI platform is the foundational AI platform that powers all SymphonyAI applications. Each application uses predictive and generative AI and is tailored to a unique industry and use case for rapid and impactful enterprise solutions.
Unlike generic platforms, Eureka AI has vertical extensions tailored for specific industries, using industry-specific models, data sources, knowledge graphs, and integrations to provide fast, relevant results without requiring extensive customization.
With a dynamic UX layer, Eureka AI offers an intuitive interface that adapts to various industry workflows, simplifying AI adoption for users at any skill level.
Eureka AI handles both structured and unstructured data at scale, supports over 200 industry-specific data connectors, and offers data governance features for improved quality and compliance.
Eureka AI incorporates role-based access controls, meets privacy standards like GDPR and CCPA, and uses compliant sandboxes for data handling to ensure enterprise-level security and privacy.
Eureka AI uses industry-specific datasets and connectors, enhancing model relevance for specific challenges, and provides automatic feedback mechanisms to keep models tuned and accurate.
The platform supports cloud, hybrid, and on-premise deployments, integrating seamlessly with major cloud providers like Microsoft Azure, AWS, and Google Cloud.