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What is sipXcom?

Established in January 2015, sipXcom was created as a result of a split from the sipXecs project, driven by the eZuce, Inc. development team. The challenges faced by the sipXecs and SIPfoundry communities in broadening their developer pool due to restrictive contributor agreements led to the inception of sipXcom, which embraces an open contribution model. The sipXcom source code is distributed under the copyleft-friendly AGLP v3 (Affero General Public License), which offers developers increased flexibility. Currently, SWARM is the project name for the next version of sipXcom and sipXecs, with a production release anticipated in early 2017. This forthcoming platform will be built on a microservices architecture, aimed at improving scalability, reliability, and configurability compared to the existing sipX offerings. SWARM is designed to function seamlessly across various computing environments, such as dedicated, virtual, or cloud servers, while also supporting hybrid configurations that integrate on-premise and cloud solutions. With these innovative features, sipXcom aspires to enhance user experience and operational capabilities in the dynamic realm of communication technology. As the development progresses, the team is committed to addressing the evolving needs of users in this space.

What is SWARM?

SWARM Engineering provides an AI-driven Software as a Service (SaaS) platform that helps businesses tackle complex operational challenges such as supply chain interruptions, workforce management issues, and production logistics by utilizing a distinct method referred to as “Challenge Engineering” paired with Agentic AI. The journey begins when a business user identifies a particular operational challenge using the Challenge Modeler; then, SWARM activates its Solution Engine, which serves as an extensive database of multi-agent systems, optimization methods, and machine-learning algorithms, to collect data from diverse sources like ERPs, spreadsheets, or IoT devices, perform simulations, and deliver a tailored solution via the Ops Dashboard. Specifically designed for large enterprises and hosted on Microsoft Azure, the platform incorporates a no-code setup that allows business users to participate without needing any data science background, leading to remarkable results such as reducing planning cycles by up to 400% and yielding returns on investment between 3 to 10 times across industries like agriculture, food production, manufacturing, and distribution. Additionally, this cutting-edge platform empowers organizations to confront their operational challenges with enhanced efficiency and adaptability, thus considerably improving their overall performance and competitiveness in the market. Ultimately, SWARM Engineering is transforming how companies approach their operational hurdles, establishing a new standard in operational excellence.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
IBM Cloud
Microsoft Azure

Integrations Supported

Amazon Web Services (AWS)
IBM Cloud
Microsoft Azure

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

sipXcom

Date Founded

2015

Company Location

United States

Company Website

sipxcom.org

Company Facts

Organization Name

SWARM

Date Founded

2016

Company Location

United States

Company Website

swarm.engineering/

Categories and Features

PBX

Telephony

Auto-Dialer
Call Center Management
Call Monitoring
Contact Management
IVR / Voice Recognition
Inbound Reporting
Outbound Reporting
Predictive Dialer
Telemarketing Management
VoIP
Voice & Data Integration

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

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