Product Overview of Nara Logics
Nara Logics offers the Synaptic Intelligence Platform, an innovative artificial intelligence (AI) solution that mimics the structure and function of the human brain to provide advanced data processing, decision-making, and recommendation capabilities.
What it Does
The Nara Logics Synaptic Intelligence Platform is designed to help enterprises build AI advisors that learn from disparate data sources to drive better business outcomes. This platform is utilized across various sectors, including healthcare, consumer companies, manufacturing, and the federal government, to lower costs, enhance customer engagement, and make more informed decisions.
Key Features
Data Processing and Integration
- The platform can handle data with different cadences and formats, including real-time, periodic, structured, and unstructured data.
- It automatically learns connections from the streams of information provided and merges information across multiple sources using its Connectome Builder module.
Decision-Making and Recommendations
- The platform builds explicit connections and infers relationships between information to deliver highly accurate recommendations. It responds to context-based inquiries in milliseconds with a rank-ordered set of recommendations, along with the reasons behind each suggestion.
- This is achieved through the Connectome Engine, which shepherds queries across the Connectome to provide recommendations, classifications, and high-throughput decision support.
Transparency and Explainability
- Unlike traditional AI systems that often act as black boxes, Nara Logics’ platform provides explanations for its recommendations, allowing users to understand the reasoning behind the advice. This transparency builds trust and enables targeted feedback.
Adaptive Learning
- The platform can begin working without labeled training data and can incorporate new datasets as they become available. It updates only a small number of associated objects when new data is added, similar to the brain’s sparse coding principle.
User Interaction and Customization
- Users can interact with the platform by changing variables and goals to further explore their data. This interactive approach allows for more collaborative and responsive decision-making processes.
Functionality
Sense, Infer, Act
- Sense: Takes in diverse data formats and cadences.
- Infer: Builds connections and learns inferred relationships between information.
- Act: Responds to context-based inquiries with ranked recommendations and explanations.
Developer and Analyst Support
- The platform offers flexibility for developers to either dive into model-building using its machine learning capabilities or focus on building AI applications, managing data ingest, and tuning the platform’s Connectome.
Industry Applications
- Healthcare: Helps in making better treatment decisions and improving patient care outcomes.
- Consumer Companies: Enhances customer engagement and product recommendations, leading to better sales conversion.
- Manufacturing: Predicts quality issues and manages product life cycles more effectively.
- Financial and Government: Processes multi-source data to prioritize events contextually and drive faster assessments.
Benefits
- Empowers Employees: Integrates information across sources and silos to provide better advice, supporting daily decision-making.
- Engages Customers: Enhances omni-channel interactions with expert-driven, explainable responses.
- Avoids Pilot Purgatory: Supports a proven process for delivering AI projects into production, overcoming the common challenge of over 85% of AI projects not making it to production.
The Nara Logics Synaptic Intelligence Platform stands out by its ability to mimic brain functions, provide transparent and explainable recommendations, and adapt to new data without extensive retraining, making it a valuable tool for various industries seeking to leverage advanced AI capabilities.