Suppliers United States Saffron Technology (Intel)
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Saffron Technology (Intel)

A simple approach to complex data
United States
1999
Private
$10-100m
51 - 200
Open website

Saffron Technology, Inc., a technology company headquartered in Cary, North Carolina, develops cognitive computing systems that use incremental learning to understand and unify by entity (person, place or thing) the connections between an entity and other “things” in data, along with the context of their connections and their raw frequency counts. This approach provides a semantic and statistical representation of knowledge. Saffron learns from all sources of data including structured and unstructured data to support knowledge-based decision making. Its patented technology captures the connections between data points at the entity level and stores these connections in an associative memory. Similarity algorithms and predictive analytics are then combined with the associative index to identify patterns in the data. Saffron’s Natural Intelligence platform is utilized by Global 1000 companies across industries including manufacturing, energy, defense and healthcare, to help decision-makers manage risks, identify opportunities and anticipate future outcomes, thus reducing cost and increasing productivity. Competitors include IBM Watson and Grok.

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SaffronAdvantage™ A visual analytics tool for business development and strategic sales professionals, corporate leadership, and analysts, that provides an interactive visual platform for exploiting Saffron’s “analytic reasoning” methods. SaffronStreamline™ Leveraging the power of Saffron’s Natural Intelligence Platform™, SaffronStreamline™ is a product lifecycle intelligence solution that sits above a customer’s existing Product Lifecycle Management (PLM) and Application Lifecycle Management (ALM) systems. Without disruption, it unifies multi-sourced data with enterprise data into a single layer of intelligence that enables organizations to share knowledge from one to many experts across their various ecosystems.

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Hardware
Software
Software that ingests data and visualises it to generate insights to answer specific questions
Platforms that facilitate and allow application developments for specific use cases and/or client requirements.
Services
Number of Case Studies5
Issue and Defect Resolution
Issue and Defect Resolution
One of the world's largest complex hardware manufacturers' business units, responsible for the post-product validation process, was looking to speed up its time to market and the time it took to identify and resolve process issues. Duplicate debugging hardware and software issues was eating up 70% of production time, slowing down time to market and costing money.
Optimizing Inventory & Anticipating Maintenance
Optimizing Inventory & Anticipating Maintenance
An aircraft manufacturer wanted to improve their spare part inventory management for 15,000 out of production aircraft. Customers needed stock parts that couldn’t be sourced since they were never required to be repaired or replaced on the aircraft. The parts would need to be produced on demand and have a long lead time for production - typically up to six months - resulting in airlines grounding their aircraft at an average loss of one million per day. As a result, the manufacturer needed to anticipate which of their spare parts would fail before an issue was communicated - leading to better inventory planning, supply chain decision making, and a total reduction in operating costs. Additionally, the company wanted to know whether to purchase more than one spare part at a given time when a problem had been reported, whether they should stock a certain spare part in advance due to the long lead time, and whether they could reduce the number of service engineer man hours spent answering customer questions about the stock parts by having better access to information. Stocking decision was also made difficult because of limited communication between the spares management employees and the service engineers, resulting in high levels of ‘dead’ stock for the manufacturer. The goal was to reduce maintenance costs and increase customer satisfaction and retention without compromising aircraft production quality, safety and lives.
Detecting and Reducing Cost of Fraud Rings
Detecting and Reducing Cost of Fraud Rings
A leading insurer wanted to reduce its multi-billion dollar expenditures on auto insurance claims, which is its largest annual expense. Currently, the company avoids paying out only about 0.33% of the predicted 10% of fraudulent claims. The insurer uses both manual (60-65%) and automated systems (30-35%) to flag questionable claims. These claims are passed on to the investigative case managers who read adjuster and other member notes, explore the fraud watch list, and search the web. Their existing approach cannot easily discover fraud rings or, more importantly, collusion among other fraud rings. Moreover, the investigative team typically decides in 30 days or less on whether to pay or deny a claim. This is due to heavy caseloads and expectations for a quick turnaround in claim processing in order to keep customers satisfied.
Number of News Items1
Number of Software2
SaffronStreamline™
SaffronStreamline™
Leveraging the power of Saffron’s Natural Intelligence Platform™, SaffronStreamline™, for issues and defect resolution, is a product lifecycle intelligence solution that sits above a customer’s existing Product Lifecycle Management (PLM) and Application Lifecycle Management (ALM) systems. Without disruption, it unifies multi-sourced data with enterprise data into a single layer of intelligence that enables organizations to share knowledge from one to many experts across their various ecosystems. Companies solve problems quickly and shorten time to market via access to information about multi-discipline issues, expertise and the shared causes of problems. - Learns from data sources across enterprise: Product and Application Lifecycle (PLM, ALM), Testing and CRM- Automatically finds similar issues, duplicates, shared causes for engineering resolution- Automatically classifies business risk of issues and defects: safety, customer experience, reliability, performance and more- Automatically identifies experts working on similar issues and experts like “you” for collaboration- Brings outside expertise inside from external sources e.g. Stack Overflow
SaffronAdvantage™
SaffronAdvantage™
SaffronAdvantage™ is designed to give you connected knowledge and decision experience from multiple data sources – internal and external – with speed and flexibility. SaffronAdvantage sits at the top of the Natural Intelligence Platform™ and gives you a wide range of solution capabilities to help you gain a competitive advantage in your industry including:- Information discovery and sense making visual analytics - See a 360 degree view of your data. Rapid visualization of associated entities from multiple, diverse sources.- "Find without knowing" what's in the data - Find patterns and connections. Who/what is connected or similar to whom/what? How, when, where, why?- Analytic Methods - Connections, networks, analogies, temporal trends and episodes.- Similarity Analysis - Who/What/Where are things similar? Have we seen this before? Find similar customers, problems, etc.- Classification - Make experience-based, adaptive decisions; returns class rank based on nearest neighbor reasoning.
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Neo4j
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