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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 Agenta?

Agenta is a full-featured, open-source LLMOps platform designed to solve the core challenges AI teams face when building and maintaining large language model applications. Most teams rely on scattered prompts, ad-hoc experiments, and limited visibility into model behavior; Agenta eliminates this chaos by becoming a central hub for all prompt iterations, evaluations, traces, and collaboration. Its unified playground allows developers and product teams to compare prompts and models side-by-side, track version changes, and reuse real production failures as test cases. Through automated evaluation workflows—including LLM-as-a-judge, built-in evaluators, human feedback, and custom scoring—Agenta provides a scientific approach to validating prompts and model updates. The platform supports step-level evaluation, making it easier to diagnose where an agent’s reasoning breaks down instead of inspecting only the final output. Advanced observability tools trace every request, display error points, collect user feedback, and allow teams to annotate logs collaboratively. With one click, any trace can be turned into a long-term test, creating a continuous feedback loop that strengthens reliability over time. Agenta’s UI empowers domain experts to experiment with prompts without writing code, while APIs ensure developers can automate workflows and integrate deeply with their stack. Compatibility with LangChain, LlamaIndex, OpenAI, and any model provider ensures full flexibility without vendor lock-in. Altogether, Agenta accelerates the path from prototype to production, enabling teams to ship robust, well-tested LLM features and intelligent agents faster.

Media

Media

Integrations Supported

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

Integrations Supported

Cohere
Falcon AI
LangChain
Llama
Llama 2
Llama 3.1
Llama 3.2
Llama 3.3
OpenAI
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour 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

Agenta

Date Founded

2023

Company Location

Germany

Company Website

agenta.ai/

Categories and Features

Engineering

Not specified

Categories and Features

Prompt Engineering

Not specified

Prompt Management

Not specified

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