Foundational Stack for Agent-First Architecture

The foundational stack for Agent-First Architecture combines intelligent agents, event-driven workflows, scalable cloud infrastructure, and secure APIs to enable seamless automation, real-time decision-making, and adaptive enterprise systems.

Resource Optimization

Intelligent allocation of computing resources based on AI priority and needs

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Secure AI Operations

Protected execution environments for autonomous agents with comprehensive isolation and monitoring

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Governance Framework

Built-in controls that allow AI systems to operate autonomously while respecting enterprise boundaries

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Intelligent Systems

Leverage specialized inference pipelines for high-efficiency AI workloads

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Agent Intelligence Observability

Actionable insights and automated responses, reducing complexity and accelerating resolution

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Optimized Test-Time Compute

Dynamically adjusts compute-resources based on query complexity for efficiency

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Model Library and Frameworks Supported

Deploy Responsibly with AI Quality and Goverenance

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Ray

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Flyte

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PyTorch

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Keras

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ONNX Runtime

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vLLM

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DeepSpeed

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DeepSeek

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Llama

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Mistral AI

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Stable Diffusion

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Whisper

Featured Use Cases

Discover powerful real-world applications of our platform—automating workflows, enhancing decisions, and accelerating outcomes across industries with intelligent AI

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Scalable AI Inference

Seamlessly run AI Inference across cloud, edge, and on-prem environments

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Secure AI Operations

Ensure low-latency inference with enterprise-grade security and compliance

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Optimized AI Deployment

Streamline AI model deployment with automated orchestration and intelligent workload distribution across hybrid environments

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Compute Efficiency for Edge Cases

Maximize resource utilization with adaptive scaling and GPU time-slicing

Pricing

Complete Automation Solution for Enterprise

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Self-Hosted (On-Premises)

Annual pricing per workplace for full control and customization

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SaaS

Flexible pay-as-you-go model for scalable usage

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Enterprise

Tailored pricing for large-scale deployments and custom requirements

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