Accelerate AI Integration

for Your Products

Accelerate AI Integration

for Your Products

Accelerate AI Integration

for Your Products

Accelerate AI Integration

for Your Products

OmniStack equips devs / teams with the infrastructure and tools to deploy, trace, manage prompts, evaluate, build pipelines, and maintain high uptime for your AI applications and agentic needs.

OmniStack equips devs / teams with the infrastructure and tools to deploy, trace, manage prompts, evaluate, build pipelines, and maintain high uptime for your AI applications and agentic needs.

Usage-Based AI Optimization Alerts

OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.

OmniModels: Ready-to-Use AI Models

Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.

OmniDeploy: Effortless AI Deployment

Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.

Pipeline: Inference Workflows

Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.

Observability: Complete Inference Insights

Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.

Evals: Automated Model Testing

Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.

Prompt Management: Git for Prompts

Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.

Usage-Based AI Optimization Alerts

OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.

OmniModels: Ready-to-Use AI Models

Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.

OmniDeploy: Effortless AI Deployment

Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.

Pipeline: Inference Workflows

Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.

Observability: Complete Inference Insights

Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.

Evals: Automated Model Testing

Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.

Prompt Management: Git for Prompts

Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.

Usage-Based AI Optimization Alerts

OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.

OmniModels: Ready-to-Use AI Models

Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.

OmniDeploy: Effortless AI Deployment

Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.

Pipeline: Inference Workflows

Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.

Observability: Complete Inference Insights

Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.

Evals: Automated Model Testing

Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.

Prompt Management: Git for Prompts

Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.

Usage-Based AI Optimization Alerts

OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.

OmniModels: Ready-to-Use AI Models

Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.

OmniDeploy: Effortless AI Deployment

Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.

Pipeline: Inference Workflows

Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.

Observability: Complete Inference Insights

Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.

Evals: Automated Model Testing

Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.

Prompt Management: Git for Prompts

Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.

Usage-Based AI Optimization Alerts

OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.

OmniModels: Ready-to-Use AI Models

Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.

OmniDeploy: Effortless AI Deployment

Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.

Pipeline: Inference Workflows

Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.

Observability: Complete Inference Insights

Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.

Evals: Automated Model Testing

Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.

Prompt Management: Git for Prompts

Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.

Usage-Based AI Optimization Alerts

OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.

OmniModels: Ready-to-Use AI Models

Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.

OmniDeploy: Effortless AI Deployment

Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.

Pipeline: Inference Workflows

Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.

Observability: Complete Inference Insights

Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.

Evals: Automated Model Testing

Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.

Prompt Management: Git for Prompts

Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.

Usage-Based AI Optimization Alerts

OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.

OmniModels: Ready-to-Use AI Models

Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.

OmniDeploy: Effortless AI Deployment

Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.

Pipeline: Inference Workflows

Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.

Observability: Complete Inference Insights

Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.

Evals: Automated Model Testing

Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.

Prompt Management: Git for Prompts

Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.

Usage-Based AI Optimization Alerts

OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.

OmniModels: Ready-to-Use AI Models

Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.

OmniDeploy: Effortless AI Deployment

Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.

Pipeline: Inference Workflows

Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.

Observability: Complete Inference Insights

Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.

Evals: Automated Model Testing

Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.

Prompt Management: Git for Prompts

Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.

Usage-Based AI Optimization Alerts

OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.

OmniModels: Ready-to-Use AI Models

Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.

OmniDeploy: Effortless AI Deployment

Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.

Pipeline: Inference Workflows

Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.

Observability: Complete Inference Insights

Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.

Evals: Automated Model Testing

Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.

Prompt Management: Git for Prompts

Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.

Usage-Based AI Optimization Alerts

OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.

OmniModels: Ready-to-Use AI Models

Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.

OmniDeploy: Effortless AI Deployment

Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.

Pipeline: Inference Workflows

Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.

Observability: Complete Inference Insights

Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.

Evals: Automated Model Testing

Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.

Prompt Management: Git for Prompts

Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.

Usage-Based AI Optimization Alerts

OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.

OmniModels: Ready-to-Use AI Models

Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.

OmniDeploy: Effortless AI Deployment

Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.

Pipeline: Inference Workflows

Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.

Observability: Complete Inference Insights

Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.

Evals: Automated Model Testing

Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.

Prompt Management: Git for Prompts

Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.

Usage-Based AI Optimization Alerts

OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.

OmniModels: Ready-to-Use AI Models

Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.

OmniDeploy: Effortless AI Deployment

Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.

Pipeline: Inference Workflows

Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.

Observability: Complete Inference Insights

Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.

Evals: Automated Model Testing

Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.

Prompt Management: Git for Prompts

Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.

Usage-Based AI Optimization Alerts

OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.

OmniModels: Ready-to-Use AI Models

Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.

OmniDeploy: Effortless AI Deployment

Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.

Pipeline: Inference Workflows

Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.

Observability: Complete Inference Insights

Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.

Evals: Automated Model Testing

Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.

Prompt Management: Git for Prompts

Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.

Usage-Based AI Optimization Alerts

OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.

OmniModels: Ready-to-Use AI Models

Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.

OmniDeploy: Effortless AI Deployment

Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.

Pipeline: Inference Workflows

Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.

Observability: Complete Inference Insights

Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.

Evals: Automated Model Testing

Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.

Prompt Management: Git for Prompts

Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.

Usage-Based AI Optimization Alerts

OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.

OmniModels: Ready-to-Use AI Models

Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.

OmniDeploy: Effortless AI Deployment

Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.

Pipeline: Inference Workflows

Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.

Observability: Complete Inference Insights

Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.

Evals: Automated Model Testing

Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.

Prompt Management: Git for Prompts

Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.

Usage-Based AI Optimization Alerts

OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.

OmniModels: Ready-to-Use AI Models

Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.

OmniDeploy: Effortless AI Deployment

Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.

Pipeline: Inference Workflows

Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.

Observability: Complete Inference Insights

Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.

Evals: Automated Model Testing

Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.

Prompt Management: Git for Prompts

Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.

Usage-Based AI Optimization Alerts

OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.

OmniModels: Ready-to-Use AI Models

Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.

OmniDeploy: Effortless AI Deployment

Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.

Pipeline: Inference Workflows

Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.

Observability: Complete Inference Insights

Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.

Evals: Automated Model Testing

Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.

Prompt Management: Git for Prompts

Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.

Usage-Based AI Optimization Alerts

OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.

OmniModels: Ready-to-Use AI Models

Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.

OmniDeploy: Effortless AI Deployment

Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.

Pipeline: Inference Workflows

Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.

Observability: Complete Inference Insights

Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.

Evals: Automated Model Testing

Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.

Prompt Management: Git for Prompts

Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.

Usage-Based AI Optimization Alerts

OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.

OmniModels: Ready-to-Use AI Models

Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.

OmniDeploy: Effortless AI Deployment

Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.

Pipeline: Inference Workflows

Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.

Observability: Complete Inference Insights

Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.

Evals: Automated Model Testing

Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.

Prompt Management: Git for Prompts

Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.

Usage-Based AI Optimization Alerts

OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.

OmniModels: Ready-to-Use AI Models

Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.

OmniDeploy: Effortless AI Deployment

Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.

Pipeline: Inference Workflows

Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.

Observability: Complete Inference Insights

Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.

Evals: Automated Model Testing

Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.

Prompt Management: Git for Prompts

Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.

Usage-Based AI Optimization Alerts

OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.

OmniModels: Ready-to-Use AI Models

Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.

OmniDeploy: Effortless AI Deployment

Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.

Pipeline: Inference Workflows

Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.

Observability: Complete Inference Insights

Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.

Evals: Automated Model Testing

Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.

Prompt Management: Git for Prompts

Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.

Our platform

OmniModels

OmniDeploy

PIpeline

Overview

Observability

Evaluation

Usage-Based AI Optimization Alerts

OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.

OmniModels: Ready-to-Use AI Models

Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.

OmniDeploy: Effortless AI Deployment

Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.

Pipeline: Inference Workflows

Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.

Observability: Complete Inference Insights

Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.

Evals: Automated Model Testing

Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.

Prompt Management: Git for Prompts

Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.

Our platform

OmniModels

OmniDeploy

PIpeline

Overview

Observability

Evaluation

Usage-Based AI Optimization Alerts

OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.

OmniModels: Ready-to-Use AI Models

Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.

OmniDeploy: Effortless AI Deployment

Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.

Pipeline: Inference Workflows

Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.

Observability: Complete Inference Insights

Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.

Evals: Automated Model Testing

Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.

Prompt Management: Git for Prompts

Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.

Our platform

OmniModels

OmniDeploy

PIpeline

Overview

Observability

Evaluation

Usage-Based AI Optimization Alerts

OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.

OmniModels: Ready-to-Use AI Models

Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.

OmniDeploy: Effortless AI Deployment

Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.

Pipeline: Inference Workflows

Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.

Observability: Complete Inference Insights

Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.

Evals: Automated Model Testing

Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.

Prompt Management: Git for Prompts

Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.

Our platform

OmniModels

OmniDeploy

PIpeline

Overview

Observability

Evaluation

Usage-Based AI Optimization Alerts

OmniStack analyzes your usage, providing real-time alerts and cost-saving recommendations like fine-tuning models or auto-generating evaluations to boost efficiency.

OmniModels: Ready-to-Use AI Models

Access preconfigured LLMs from OpenAI, Anthropic, etc and in-house deployed models, ready to use instantly without any setup hassle.

OmniDeploy: Effortless AI Deployment

Deploy generative AI models from Hugging Face on serverless GPU infrastructure or opt for dedicated GPU clusters and LPUs for larger models or high-throughput applications.

Pipeline: Inference Workflows

Design inference workflows with ease—set up load balancing by latency, cost etc, add fallbacks, run background evaluations, or build complete agentic workflows via GUI or code.

Observability: Complete Inference Insights

Gain complete visibility into every step—track costs, rate limits, and debug inference requests with detailed insights and traceability.

Evals: Automated Model Testing

Run evaluations on past logs, datasets, or live requests in the background, and receive alerts when performance falls outside the criteria range.

Prompt Management: Git for Prompts

Design, experiment, evaluate, and deploy prompts seamlessly—bringing Git-style version control to prompt engineering.

The Inference Engine For Developers

The Inference Engine For Developers

The Inference Engine For Developers