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What is Trace.Space?

Trace.Space is an AI-driven platform designed to optimize requirements management and traceability, boosting productivity in the intricate realm of large-scale product development. It enables teams to effortlessly import various requirements, tests, and change logs from multiple formats and tools, such as PDFs, documents, Jira, Git, and APIs, merging them into a cohesive system. By harnessing the power of AI, it generates trace links, detects coverage gaps, and highlights discrepancies between requirements, design artifacts, and testing layers, thus converting scattered data into an interconnected, dynamic graph. This trace graph is subject to ongoing analysis to identify potential risks, broken links, and the implications of changes, allowing teams to tackle issues proactively before they result in project setbacks. Additionally, Trace.Space promotes real-time collaboration, empowering team members to review, comment, and approve changes while maintaining thorough traceability of decisions and their impacts on hardware, software, and systems engineering. This collaborative methodology not only fosters better communication among team members but also significantly enhances the quality and dependability of the entire development process. Ultimately, by integrating diverse tools and promoting teamwork, Trace.Space paves the way for more successful project outcomes.

What is Deductive AI?

Deductive AI represents a groundbreaking solution that revolutionizes how organizations tackle complex system failures. By effortlessly merging your complete codebase with telemetry data—including metrics, events, logs, and traces—it empowers teams to swiftly and accurately pinpoint the underlying causes of issues. This platform streamlines the debugging process, significantly reducing downtime while boosting overall system reliability. By integrating seamlessly with your codebase and existing observability tools, Deductive AI creates an extensive knowledge graph powered by a code-aware reasoning engine, diagnosing root problems like an experienced engineer would. It quickly constructs a knowledge graph with millions of nodes, unveiling complex relationships between the codebase and telemetry data. Additionally, it deploys various specialized AI agents that diligently search for, discover, and analyze subtle indicators of root causes scattered across all interconnected sources, ensuring a meticulous examination process. This high level of automation not only expedites troubleshooting but also equips teams with the ability to sustain elevated system performance and reliability. Ultimately, Deductive AI not only enhances problem-solving efficiency but also transforms the overall approach to system management within organizations.

Media

Media

Integrations Supported

GitHub
Jira
Slack
AutoCAD
Azure DevOps
Confluence
Git
IBM DOORS Next
Jama Connect
Jenkins
Microsoft Teams

Integrations Supported

GitHub
Jira
Slack
Bitbucket
Datadog
Elasticsearch
Grafana Cloud
New Relic
OpenTelemetry
Prometheus
Splunk Cloud Platform

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Trace.Space

Date Founded

2023

Company Location

United States

Company Website

www.trace.space/

Company Facts

Organization Name

Deductive AI

Date Founded

2023

Company Location

United States

Company Website

www.deductive.ai/

Categories and Features

Engineering

Not specified

Categories and Features

AI SRE Agents

Not specified

AI Tools

Not specified

Root Cause Analysis

Not specified

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