Credal vs Branded: Which is better?

Credal.ai is an AI tool designed to protect sensitive data while leveraging AI applications within an enterprise. It provides a secure solution for utilizing popular AI apps such as ChatGPT, ensuring that business secrets and protected data like PII remain secure. The tool offers APIs, a secure chat UI, and a Slack bot that integrates seamlessly with your data sources such as Google Drive, Confluence, and Slack. It automatically enforces access policies, masks sensitive data, and ensures acceptable use policies are followed. Credal allows enterprises to define, enforce, and audit access to AI tools, whether internally built or externally procured, all from a single place. It enables developers to build custom applications on secure APIs while respecting source permissions, generating automatic audit logs, and masking sensitive data. For increased security, Credal can be deployed fully on-premise, including the large language models themselves, ensuring data never leaves the network and leveraging existing investments in platforms like Azure OpenAI and AWS Bedrock.

View Credal

Branded

Branded Research, now part of Dynata, specializes in providing high-quality consumer insights through a vast audience network of over 2 million participants. The platform utilizes advanced AI technology to ensure data integrity and quality, enabling clients to conduct targeted research across diverse consumer segments. With automated API access, Branded Research facilitates real-time connections to niche audiences, enhancing the effectiveness of both qualitative and quantitative research methodologies.

View Branded

Key features

Credal

Centralized Governance: Credal provides a governed registry for managing AI agents, ensuring compliance with security and permission boundaries across the organization.
Integration with Enterprise Systems: The application connects to over 30 enterprise systems, automatically inheriting permissions to ensure users only access authorized data.
Agent Building and Deployment: Users can create AI agents capable of executing complex workflows, with the ability to read and write across various systems, and deploy them across multiple chat surfaces without additional setup.
Scoped Access and Control: Administrators can define specific permissions for agents, tools, and data access, ensuring that every interaction adheres to organizational boundaries.
Real-time Evaluation and Monitoring: The platform includes features for evaluating agent performance before deployment, tracking improvements, and maintaining full visibility of agent actions and data access through audit logs.

Branded

AI-Driven Quality Assurance: Utilizes artificial intelligence to verify participant responses, ensuring data integrity with over 95% accuracy in identifying poor actors.
Intelligent Audience Sampling: Offers access to a diverse audience of over 2 million members, allowing for precise targeting across 100+ consumer segments and industries.
Automated API Access: Provides programmatic API solutions for real-time connection to custom audiences, capturing emotions, motivations, and values for comprehensive insights.
Multi-Method Research Capabilities: Supports a wide range of qualitative and quantitative research methods, including webcam studies, emotional AI, and surveys.
Commitment to User Experience: Focuses on creating a comfortable environment for participants, enhancing the quality of insights through open and authentic responses.

Useful for

Credal

Centralized Governance: Credal provides a governed registry for AI agents, ensuring that all actions and data access comply with organizational security and permission boundaries.
Seamless Integration: The application connects to over 30 enterprise systems, allowing agents to inherit permissions automatically, ensuring users only access data they are authorized to see.
Efficiency in Skill Sharing: Skills developed by one team can be easily shared and reused across the organization, reducing duplicate work and enhancing collaboration.
Real-time Permission Management: Permissions are synced automatically across connected sources, ensuring that access rights are always up-to-date without manual intervention.
Comprehensive Audit Trails: Credal maintains detailed logs of user requests and agent actions, providing full visibility and accountability for all interactions within the system.

Branded

Provides access to a diverse audience of over 2 million members, enabling targeted research across various consumer segments and industries.
Utilizes AI to ensure high-quality insights by verifying participant responses and removing poor actors with over 95% accuracy.
Offers automated API access for real-time connections to custom audiences, facilitating efficient data collection and analysis.
Supports a wide range of qualitative and quantitative research methodologies, enhancing the depth and quality of insights gathered.
Prioritizes user experience, leading to more authentic responses and higher engagement from participants in research studies.

Use cases

Credal

Data Accuracy Improvement: Checkr increased data accuracy from 13% to 86% by utilizing Credal's Managed Contextual Prompts (MCP).
Skill Sharing Across Teams: Credal allows teams to capture and publish skills to a governed registry, enabling reuse and reducing duplicate work.
Automated Permission Management: The application automatically syncs permissions from connected sources, ensuring users only access data they are authorized to see.
Multi-Channel Deployment: Agents built with Credal can be deployed across various platforms (e.g., Slack, ChatGPT, Claude) without additional setup, maintaining consistent behavior.
Human Approval for Sensitive Actions: Credal incorporates human-in-the-loop approvals for sensitive actions, providing an audit trail for accountability.

Branded

Conducting qualitative and quantitative research using various methodologies, including webcam studies and emotional AI.
Accessing niche target audiences through advanced algorithms for efficient participant recruitment across diverse segments.
Utilizing AI to ensure data quality by vetting participant responses and removing poor actors with high accuracy.
Offering automated API access for real-time connections to custom audiences, capturing emotions and motivations for comprehensive insights.
Supporting product development and concept testing by providing insights into consumer needs, motivations, and purchase drivers.

Price

CredalFree

Branded

Pricing details are not explicitly mentioned in the provided text.
Users can get a quote based on their specific needs.
The application offers automated API access to custom audiences.
The platform supports a wide range of qualitative and quantitative research methods.
There is a commitment to data quality and user experience, but no specific pricing plans are outlined.