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Description

SecondStack offers a comprehensive AI solution for businesses, ensuring that data remains secure by not transferring it to third-party cloud services. It integrates an enterprise LLM gateway with pre-configured workspaces tailored for different functions: Chat for routine tasks, Code for software developers, and Agent for automation processes. This gateway allows platform and security teams to maintain centralized control over all models and providers used within the organization, featuring unified authentication, tailored access policies for each team, budget management, and visibility into usage metrics. By deploying within your own infrastructure, SecondStack ensures that prompts and data stay within your environment, although a managed hosting option is available for those who prefer the vendor to handle operations. Unlike traditional pricing models, SecondStack does not charge on a per-seat basis, making it cost-effective to implement AI across the entire organization without incurring significant additional expenses. Furthermore, its deployment and operations are supported by a partner certified in ISO 27001, providing additional assurance of security and compliance. Ultimately, SecondStack serves as a viable alternative to building a system from scratch that includes LiteLLM, custom authentication, user interfaces, and administrative tools.

Description

TensorZero serves as an open-source platform for LLMOps, seamlessly integrating an LLM gateway, observability, evaluation, optimization, and experimentation into a cohesive system. This platform establishes a feedback loop that enhances LLM applications by transforming production metrics and user insights into models and agents that are more intelligent, efficient, and cost-effective. By providing a gateway, TensorZero enables teams to connect once and subsequently access a wide array of leading LLM providers through a singular, consolidated API. This encompasses both API and self-hosted models while offering functionalities such as tool utilization, structured outputs, batch inference, embeddings, multimodal inputs, caching, routing, retries, fallbacks, load balancing, precise timeouts, usage monitoring, customized rate limitations, and protection of provider keys. Developed in Rust, TensorZero prioritizes high performance, ensuring exceptional throughput and minimal latency for production tasks, all while allowing teams the flexibility to implement only the features they require. Its observability component captures inferences and feedback within the user's own database, which can be accessed programmatically or via the open-source user interface. In doing so, TensorZero not only enhances the user experience but also facilitates more effective decision-making through accessible data analytics.

API Access

Has API

API Access

Has API

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Integrations

No details available.

Integrations

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Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
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

Dark Lake, LLC

Founded

2025

Country

United States

Website

secondstack.ai

Vendor Details

Company Name

TensorZero

Founded

2023

Country

United States

Website

github.com/tensorzero/tensorzero

Product Features

Product Features

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