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What is Darcy AI?

Quickly recognize individuals and their postures with ease, while also having the option to customize settings to meet specific requirements. Additionally, you can boost the system's capabilities by integrating your own AI models, whether by using pre-existing TensorFlow Lite models from the web or by developing new ones from scratch. This innovative solution is compatible with Google Coral, demonstrating that developers can truly blend functionality with aesthetic appeal. The sleek design of the Darcy Cam is visually appealing in both research environments and daily use. Equipped with dual Coral AI accelerators and a video sensor, it efficiently supports multiple models for real-time operations. You can establish a variety of network configurations, such as multi-cloud, hybrid cloud, and edge-to-edge setups, all executed with a single command and without the complications of open ports, VPNs, or NAT tunnels. Manage every aspect of your edge infrastructure from the Cloud, handling tasks like provisioning, deployment, orchestration, resource management, monitoring, and updates. By automating workflows that are integrated with your existing clouds, tools, and applications, you can streamline operations while maintaining seamless connectivity to your current infrastructure through OpenAPI. This holistic strategy not only enhances flexibility but also maximizes efficiency when managing sophisticated AI functionalities, making it an invaluable asset for tech-savvy developers.

What is Coral?

Coral is an open-source SQL query layer built to help AI agents and developers retrieve data from many systems without custom integration work. The platform connects to APIs, databases, and file systems, then exposes each source as a readonly schema that can be queried like a table. Teams can use Coral to combine information from tools such as GitHub, GitLab, Slack, Linear, Datadog, Sentry, OpenTelemetry, ClickUp, Incident.io, Intercom, Stripe, and PagerDuty. This makes it possible to answer complex operational questions with joins across engineering, communication, observability, workflow, and payment data. Coral is designed to work with both the CLI and MCP, allowing agents such as Claude Code or Codex to access one shared runtime. The platform manages authentication, pagination, rate limits, schema discovery, and source-specific execution details behind the scenes. Its readonly design helps agents gather context without mutating upstream systems or creating unnecessary safety risks. Coral also improves over time by learning schema hints, relationships, recommended joins, and query patterns from real usage. Features such as query pushdown, caching, and efficient pagination help reduce unnecessary API calls and lower token-heavy agent workflows. Teams can use Coral for coding assistance, AI SRE workflows, security and compliance investigations, customer escalations, and internal operations support. Coral helps organizations turn fragmented data sources into a unified query environment that makes agents more accurate, cost-efficient, and production-ready.

Media

Media

Integrations Supported

Raspberry Pi OS

Integrations Supported

Claude Code
Datadog
GitHub
Linear
Model Context Protocol (MCP)
OpenAI Codex
PagerDuty
Sentry
Slack
Stripe

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$249/month

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Edgeworx

Date Founded

2017

Company Location

United States

Company Website

www.darcy.ai/

Company Facts

Organization Name

Coral

Date Founded

2024

Company Location

United Kingdom

Company Website

withcoral.com

Categories and Features

Categories and Features

Agentic AI

Not specified

AI Memory Layers

Not specified

AI PDF

Not specified

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