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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
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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