Sold by: Diagrid
Deployed on AWS
Diagrid is an enterprise-grade agentic AI orchestration platform purpose-built for reliability, security, and governance in Kubernetes environments. For enterprise platform and security teams building and operating AI agents at scale, Diagrid allows you to deploy resilient, self-recovering agents with zero-trust security and cryptographic identity on every agent and tool. Built on open-source Dapr, Diagrid reduces agent downtime, protects critical resources, lowers LLM costs, and accelerates time to production. Diagrid is trusted by leading global enterprises including HDFC Bank, ZEISS Vision, FICO and more.
Overview
Diagrid is the first-of-its-kind agentic orchestration platform for AI agent durability and zero-trust security. As organizations scale from a handful of agent prototypes to production workloads, existing infrastructure falls short: MCP gateways only govern ingress, network policies can't see agent-to-tool communication, and agent frameworks do not provide failure detection and recovery. Diagrid's agentic platform fills this gap for developers, security, and platform teams:
- For Platform teams : Diagrid provides centralized governance and management for MCP servers and agents. If agents crash mid-workflow, failures are detected immediately and execution resumes from the exact failure step - not from scratch. Through policies, security controls, and project-level RBAC, platform engineering teams gain full visibility and control over every agent running across their infrastructure.
- For Security teams :Diagrid gives every agent and tool a verifiable, cryptographically-backed identity. Security teams can see exactly what's running, what it can access, and what actions it has taken - all backed by an end-to-end audit trail. Access policies are defined once and enforced everywhere, so security teams can confidently approve agent deployments instead of blocking them.
- For Developers : Diagrid is built on the open-source Dapr project and integrates with the majority of agent framework SDKs - including LangGraph and AWS Strands - so developers can use their preferred tooling without lock-in. Built-in semantic caching, optimized MCP server tool calls, and the ability to swap model providers without code changes significantly lower LLM costs and accelerate time to production. Diagrid deploys natively to Kubernetes, enabling on-prem, cloud, or hybrid deployments, and centralizes management of agents deployed across any infrastructure - including Kubernetes, VMs, and serverless offerings.
Enterprises retain full sovereignty over their agent infrastructure, data estate, and governance policies, all from a single platform. Diagrid includes Dapr open source support and operational tooling for organizations choosing to run Dapr on Elastic Kubernetes Service (EKS) or EC2 instances.
Highlights
- Make agents production-ready, not just perpetual prototypes. Most agents work in a demo but break in production - failing mid-execution with no clean recovery. Diagrid closes that gap: agents survive any failure, resume exactly where they left off, and always run to completion. Compatible with AWS Strands, OpenAI Agents SDK, LangGraph & more.
- Zero-trust agent security: know exactly what every agent is allowed to do, is doing, and has done. Every agent gets a cryptographically-backed identity with a full audit trail of what ran, what data it accessed, and whether it was authorized. Agents cannot reach tools that haven't explicitly allowed them - so security teams can approve deployments instead of blocking them.
- Enterprise Dapr support with response times as low as 1 hour, 24/7. Diagrid supports Dapr running on EKS, multi-cloud, and hybrid environments by resolving issues, delivering patches, and providing expert guidance to unblock your teams. Includes CVE resolution with timely SLAs and Conductor tooling for automated cluster management like upgrades, visualization, and best practices.
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Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Dedicated Cloud/BYOC | Annual contract. Visit our pricing page for more details: diagrid.ws/pricing | $30,000.00 |
The following dimensions are not included in the contract terms, which will be charged based on your usage.
Dimension | Cost/unit |
|---|---|
Diagrid consumption units | $1.00 |
Dimensions summary
This annual contract offers two pricing dimensions. Diagrid consumption units let you pay based on usage, measured in consumption units. The Dedicated Cloud/BYOC dimension covers a single-tenant deployment fully managed by Diagrid, or a bring-your-own-cloud setup where your data stays in your network. Both are billed on a 12-month commitment. Your Dedicated Cloud/BYOC price depends on your deployment size and support level, which you configure separately. These two dimensions address different needs: unit-based usage versus a dedicated or customer-hosted environment. Visit the vendor pricing page to configure a tailored quote.
Top-of-mind questions for buyers
Price depends on your deployment size and support level. Deployment size is measured by concurrent workflows, grouped into ranges like small, medium, large, and extra-large. Support levels set response times and included architecture reviews. You configure both separately to produce a tailored quote.
Diagrid consumption units meter your usage, so cost rises with how many units you consume. Dedicated Cloud/BYOC bills on a fixed configuration you set upfront, based on deployment size and support level, not per-unit usage. Usage-based suits variable workloads; the configured option suits steady, dedicated deployments.
Deployment size is measured by concurrent workflows, not total executions. You size for concurrency only, so running more workflows at once moves you into a range like medium or large. Execution volume itself does not drive the price, since workflows and activities are unlimited within your configured size.
www.diagrid.io
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