ZSegment314e Corporation
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Related Products
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About
ZSegment is a cloud-native interface engine built by 314e Corporation, designed to seamlessly connect and integrate clinical, financial, and administrative systems across healthcare organizations. It offers more than 300 components, supports real-time metrics based on open telemetry standards, and is constructed on a Kubernetes-native architecture using Apache Camel to enable scalability, flexibility and developer-friendly customization including version control (Git), native custom schema support for HL7 v2, FHIR, X12 and CCD, visual tools for message routing, Groovy scripting for transformations, and secure message delivery over multiple protocols (File, FTP, HTTP(S), TCP). It also features message indexing, tracing, editing/resubmission, and custom job definitions for data hygiene and operational monitoring. ZSegment is positioned as a modern alternative to legacy on-premise interface engines like Mirth Connect, alleviating hardware procurement costs, expensive licensing, etc.
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About
telemetry.dev is an OpenTelemetry-native observability platform for AI agents and LLM applications. Developers can trace model calls, tool steps, retrievals, logs, and metrics; inspect failures, latency, token usage, and estimated cost; and compare activity by model, provider, and environment. It supports first-party TypeScript and Python SDKs, provider and framework integrations, and standard OTLP/HTTP ingest. Environment-level capture controls, SDK masking, and server-side redaction help teams manage stored prompt, response, and telemetry content.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Healthcare teams at hospitals interested in a solution to streamline system interoperability and data exchange
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Audience
Developers and engineering teams building, operating, and debugging AI agents and LLM applications.
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
$0/month
Prices are per organization per month. Free includes 30,000 ingestion units per month, 14-day retention, 1 project, and 2 seats. Pro is $25 per month with 500,000 ingestion units, 30-day retention, 5 projects, and 5 seats. Team is $50 per month with 2 million ingestion units, 90-day retention, unlimited projects and seats, and priority support. One normalized span, OTLP log record, or metric data point counts as one ingestion unit. Paid ingestion continues beyond the listed allowances without automatic overage charges; the vendor may contact consistently high-usage customers.
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company Information314e Corporation
Founded: 2004
United States
www.314e.com/zsegment/
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Company Informationtelemetry.dev
telemetry.dev/
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Categories |
Categories |
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Integrations
Amazon Bedrock
Not Supported
Anthropic
Not Supported
Apache Camel
Supported
Apache Groovy
Supported
Claude Code
Not Supported
CrewAI
Not Supported
Cursor
Not Supported
Git
Supported
Kubernetes
Supported
LangChain
Not Supported
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Integrations
Amazon Bedrock
Supported
Anthropic
Supported
Apache Camel
Not Supported
Apache Groovy
Not Supported
Claude Code
Supported
CrewAI
Supported
Cursor
Supported
Git
Not Supported
Kubernetes
Not Supported
LangChain
Supported
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