Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
In PolySwarm, a unique multiscanner, financial stakes are involved, where threat detection engines support their assessments with monetary commitments at the artifact level, such as files or URLs, and face financial incentives or penalties based on how accurate their evaluations are. This sophisticated process is managed by automated software that operates in nearly real-time. Users can submit artifacts to PolySwarm's network using either an API or a web user interface. The system then provides crowdsourced intelligence, which includes the determinations from different engines along with a final score known as PolyScore, back to the user. The bounty funds and the assertions made by the engines serve as a reward mechanism, held securely in an Ethereum smart contract. Engines that correctly identify threats earn the initial bounty from the enterprise, along with the funds contributed by the engines that made incorrect assessments, thus fostering a competitive environment that emphasizes accuracy and reliability. This innovative approach not only incentivizes precision but also ensures that users receive trustworthy threat intelligence swiftly.
Description
SWARM Engineering offers an AI-powered Software as a Service (SaaS) platform aimed at assisting organizations in overcoming intricate operational obstacles, including challenges related to supply chain disruptions, workforce management, and production logistics, by employing a unique approach known as “Challenge Engineering” in conjunction with Agentic AI. The process starts when a user in the business environment outlines a specific operational issue through the Challenge Modeler; subsequently, SWARM leverages its Solution Engine, a comprehensive repository of multi-agent systems, optimization techniques, and machine-learning frameworks, to gather data from various sources such as ERPs, spreadsheets, or IoT devices, conduct simulations, and implement a customized solution via the Ops Dashboard. Designed for large-scale enterprise deployment on Microsoft Azure, the platform features a no-code configuration that enables business users to engage without requiring data science expertise, and it boasts impressive outcomes, including the potential for planning cycles to be shortened by as much as 400% and an attractive return on investment ranging from 3 to 10 times in sectors like agriculture, food production, manufacturing, and distribution. Furthermore, this innovative platform ensures that organizations can navigate their operational challenges with greater efficiency and agility, significantly enhancing overall performance.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Criminal IP ASM
Yes
Cyberstanc Scrutiny
Yes
Microsoft Azure
No
Integrations
Criminal IP ASM
No
Cyberstanc Scrutiny
No
Microsoft Azure
Yes
Pricing Details
$299 per month
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
PolySwarm
Founded
2017
Country
United States
Website
polyswarm.io
Vendor Details
Company Name
SWARM
Founded
2016
Country
United States
Website
swarm.engineering/
Product Features
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No