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ease
features
design
support

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Write a Review

Description

Espressive's Barista LLM Gateway offers businesses a secure and efficient means to incorporate Large Language Models, such as ChatGPT, into their workflows. This gateway serves as a crucial access point for the Barista virtual agent, empowering organizations to implement policies that promote the safe and ethical utilization of LLMs. Additional protective measures may involve monitoring compliance with rules to avoid the dissemination of proprietary code, sensitive personal information, or customer data; restricting access to certain content areas, and ensuring that inquiries remain focused on professional matters; as well as notifying staff about the possibility of inaccuracies in the responses generated by LLMs. By utilizing the Barista LLM Gateway, employees can obtain support for work-related queries spanning 15 different departments, including IT and HR, thereby boosting productivity and fostering greater employee engagement and satisfaction. This comprehensive approach not only enhances operational efficiency but also cultivates a culture of responsible AI usage within the organization.

Description

Orq.ai stands out as the leading platform tailored for software teams to effectively manage agentic AI systems on a large scale. It allows you to refine prompts, implement various use cases, and track performance meticulously, ensuring no blind spots and eliminating the need for vibe checks. Users can test different prompts and LLM settings prior to launching them into production. Furthermore, it provides the capability to assess agentic AI systems within offline environments. The platform enables the deployment of GenAI features to designated user groups, all while maintaining robust guardrails, prioritizing data privacy, and utilizing advanced RAG pipelines. It also offers the ability to visualize all agent-triggered events, facilitating rapid debugging. Users gain detailed oversight of costs, latency, and overall performance. Additionally, you can connect with your preferred AI models or even integrate your own. Orq.ai accelerates workflow efficiency with readily available components specifically designed for agentic AI systems. It centralizes the management of essential phases in the LLM application lifecycle within a single platform. With options for self-hosted or hybrid deployment, it ensures compliance with SOC 2 and GDPR standards, thereby providing enterprise-level security. This comprehensive approach not only streamlines operations but also empowers teams to innovate and adapt swiftly in a dynamic technological landscape.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Claude
Amazon Bedrock
ChatGPT
Cohere
Gemini
Google AI Studio
Groq
LangChain
Leonardo.ai
Lionbridge
Microsoft Azure
Microsoft Foundry Agent Service
NVIDIA NIM
Node.js
OpenAI
Perplexity
Python
Together AI
Vertex AI
fal

Integrations

Claude
Amazon Bedrock
ChatGPT
Cohere
Gemini
Google AI Studio
Groq
LangChain
Leonardo.ai
Lionbridge
Microsoft Azure
Microsoft Foundry Agent Service
NVIDIA NIM
Node.js
OpenAI
Perplexity
Python
Together AI
Vertex AI
fal

Pricing Details

No price information available.
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

Espressive

Founded

2017

Country

United States

Website

www.espressive.com/platform/products/barista-llm-gateway

Vendor Details

Company Name

Orq.ai

Founded

2022

Country

Netherlands

Website

orq.ai/

Product Features

Alternatives

Alternatives

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