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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Rawctx serves as an AI evidence layer specifically designed for teams developing customer-facing AI assistants, copilots, and agents. It meticulously logs every response along with the officially approved meanings, source/context references, metadata from model runs, trace identifiers, correction histories, and exportable proof bundles. This feature enables teams to scrutinize the rationale behind each AI-generated answer, including the evidence and business definitions utilized, any modifications made post-review, and the current status of trust proof, whether it is anchored, pending, or local-only. Additionally, rawctx encompasses capabilities for maintaining answer audit logs, facilitating exports in JSON, CSV, or proof formats, binding source reference evidence, and implementing verification workflows that can be either public or private, catering to critical areas such as support, sales, finance, legal, and operations. Ultimately, rawctx empowers organizations to ensure accountability and transparency in their AI interactions.

Description

Trail ML serves as an AI governance copilot platform designed to assist organizations in establishing reliable, compliant, and transparent AI systems by automating tedious governance and documentation activities. It consolidates a variety of essential functions such as AI registry management, policy formulation, risk assessment, automated documentation, development oversight, audit trails, and compliance workflows into a single system, allowing teams to effectively categorize and monitor all AI applications, trace decisions from initial data and model stages to final outcomes, and minimize the burden of manual documentation and governance tasks. Additionally, it incorporates various governance frameworks and templates, facilitates the development of tailored AI policies, and aids teams in recognizing and addressing risks while preparing for audits and adhering to standards like ISO 42001, as well as regulations such as the EU AI Act. Trail employs a combination of curated knowledge, risk libraries, and AI-driven automation to manage governance responsibilities, convert regulatory mandates into actionable tasks, and enhance collaboration among stakeholders, ultimately fostering a more efficient governance environment. By streamlining these processes, organizations can focus more on innovation and less on compliance concerns.

API Access

Has API

API Access

Has API

Screenshots View All

No images available

Screenshots View All

Integrations

Python
Amazon Web Services (AWS)
Google Cloud Platform
Hugging Face
PyCharm
PyTorch
TensorFlow
Visual Studio Code

Integrations

Python
Amazon Web Services (AWS)
Google Cloud Platform
Hugging Face
PyCharm
PyTorch
TensorFlow
Visual Studio Code

Pricing Details

$9.99/1000logs
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

rawctx

Founded

2026

Country

South Korea

Website

hub.rawctx.dev

Vendor Details

Company Name

trail

Founded

2023

Country

Germany

Website

www.trail-ml.com

Product Features

Product Features

Alternatives

No Alternatives

Alternatives