Sold by: TrueFoundry
Deploy AI workloads on any infrastructure: inference, fine-tuning, agents and MCP servers as standard Kubernetes apps.
4.6
Overview
TrueFoundry AI Deploy is a unified control plane that lets you deploy, scale, and operate LLMs, agents, MCP servers, workflows, batch jobs, and ML models from a single interface across your AWS environment.
Deploy GPU-backed LLM inference on AWS using vLLM, Triton, or custom containers. Run long-running AI agents with persistent memory and tool execution. Deploy MCP servers to securely expose enterprise APIs and tools. Orchestrate multi-step workflows and schedule batch jobs for training or data processing. All workload types use the same deployment patterns and operational controls.
Autoscaling adjusts resources based on real-time demand, scaling GPU workloads up during peak traffic and down when usage drops. Auto-shutdown stops idle infrastructure after configurable periods, preventing GPU waste during off-peak hours while maintaining on-demand restart capability.
Native AWS integration with support for AWS Kubernetes Service (EKS), AWS EC2, and AWS VPC. Deploy workloads in your own AWS subscription with full control and isolation. Seamlessly integrate with AWS Key Management Service (KMS) for secret management.
Integrated logs, metrics, health checks, and rollout strategies provide production-ready operations. Native CI/CD integration accelerates delivery while maintaining security.
Works seamlessly with AI Gateway, MCP Gateway, and Agent Gateway. Deploy provides the execution layer while the gateways govern access, routing, and policy enforcement.
One platform. Every AI workload. Fully deployable within your AWS environment. SOC 2, HIPAA, GDPR compliant.
Highlights
- Train and deploy Compound AI Applications on Kubernetes.
- Achieve 40-60 % cost savings in production.
- GPU & Infra management, LLM Gateway, Future Safe GenAI Applications.
Details
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Deployed on AWS
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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 |
|---|---|---|
TrueFoundry Enterprise | Standard enterprise contract for installation and up to 10 developers using the TrueFoundry platform. | $100,000.00 |
The following dimensions are not included in the contract terms, which will be charged based on your usage.
Dimension | Description | Cost/unit |
|---|---|---|
additional_users | Additional usage fee. | $1.00 |
Dimensions summary
This listing has two dimensions that work together. You start with the TrueFoundry Enterprise contract, which covers installation and up to 10 developers on the platform. The additional_users dimension lets you add usage beyond that base. You pay the per-unit additional fee for each developer past the included 10. Pricing scales with your team size: the base contract sets your starting point, and the additional_users fee grows as more people need access.
Top-of-mind questions for buyers
A user is one developer account using the TrueFoundry platform. The base Enterprise contract includes up to 10 developers. Each developer past that count bills under the additional_users dimension. User counts are typically based on your highest number of active users during the billing period.
The first 10 developers stay covered by the TrueFoundry Enterprise base contract. Only developers beyond that count trigger the additional_users fee. The base contract stays in place, and you add per-developer usage on top. Seats and workload traffic are handled separately.
No. Charges from model providers are separate and pass through to you. The TrueFoundry contract covers installation and platform access for your developers. It does not mark up or include tokens or external model usage, which you pay the provider directly.
www.truefoundry.com
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Support
Vendor support
Please checkout our Trust Center at https://trust.truefoundry.com/ and for support email us at support@truefoundry.com / founders@truefoundry.com . We provide documentation, tutorials, and a dedicated support team to assist clients in their use of our platform.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Computer Software
Seamless AI Gateway with Standout Observability and Model Routing
Reviewed on Jul 23, 2026
Review provided by G2
What do you like best about the product?
The AI gateway is seamless to use. Observability and model routing in particular are stand out features.
What do you dislike about the product?
The onboarding docs need to be providing more information
What problems is the product solving and how is that benefiting you?
Managing AI load, auth, budget observability
Tara B.
Exceptional Prototyping Speed with One-Click Deployments and Branch-Based Iteration
Reviewed on May 03, 2026
Review provided by G2
What do you like best about the product?
The prototyping speed is exceptional thanks to the one-click deployment system. The ability to deploy specific branches or commits makes rapid iteration easy, and the built-in SSH server support for VS Code has noticeably improved my day-to-day productivity.
What do you dislike about the product?
I’d like to see more robust Role-Based Access Control (RBAC) features to better safeguard our production environments. An approval-based workflow for deployment rollouts would also be a major benefit, since it would add an extra layer of security and oversight before changes go live, especially in a high-stakes environment.
What problems is the product solving and how is that benefiting you?
It basically eliminates the need for a developer to dive into complex DevOps work. It feels like a plug-and-play solution: you choose what you need without having to master the underlying infrastructure details. That emphasis on “quick iterations” is crucial for our project timelines, and it helps keep the team focused on building features instead of spending time managing servers.
Deepak M.
TrueFoundry Unifies Infrastructure, Deployment, and Governance for Production-Ready AI
Reviewed on Apr 13, 2026
Review provided by G2
What do you like best about the product?
What I like best about TrueFoundry is its ability to bring together infrastructure, deployment, and governance into a cohesive platform, making it significantly easier to move AI use-cases from experimentation to production. It strikes a strong balance between technical flexibility and enterprise readiness, which is critical for scaling AI adoption.
What do you dislike about the product?
The platform is very strong from an infrastructure and LLMOps perspective. The main opportunity I see is in expanding pre-built, industry-specific accelerators or templates, which could significantly improve time-to-value and make it easier for organizations to scale AI adoption more quickly.
What problems is the product solving and how is that benefiting you?
TrueFoundry is solving the challenge of operationalizing AI at scale by unifying deployment, infrastructure management, and observability into a single platform. This reduces the complexity involved in moving from experimentation to production.
For us, the benefit is faster time-to-value, better coordination across teams, and the ability to scale AI use-cases in a controlled and cost-efficient manner, which is critical for enterprise adoption.
For us, the benefit is faster time-to-value, better coordination across teams, and the ability to scale AI use-cases in a controlled and cost-efficient manner, which is critical for enterprise adoption.
Shobhit V.
Ensures Business Continuity with Exceptional Support
Reviewed on Apr 09, 2026
Review provided by G2
What do you like best about the product?
I like trueFoundry's excellent customer service, which is crucial when you're under time pressure and need to understand complex AI gateway systems. The breadth of product features is impressive, and the CLI for config as code is beneficial as it integrates seamlessly with our CI/CD pipeline, making changes efficient and systematic. The initial setup was easy, and the platform provides a central view for usage and cost monitoring while ensuring business continuity by automatically routing traffic to another provider if there's an outage.
What do you dislike about the product?
I can't think of anything. But I think they should expand into LLM evaluations as well.
What problems is the product solving and how is that benefiting you?
I use trueFoundry for AI Gateway management, ensuring business continuity during provider outages, and monitoring usage and cost. The CLI integrates with CI/CD to streamline changes, and good customer support helps in navigating its complexities under pressure.
Liza H.
Streamlined MLOps with Exceptional Flexibility
Reviewed on Mar 28, 2026
Review provided by G2
What do you like best about the product?
I really appreciate trueFoundry's cloud agnostic auto scaling and single-click update feature. It's a massive productivity booster to deploy models and have them automatically scale based on real-time request volume without having to configure complex HPL rules. The seamless code integration is a game changer, unlike other platforms, because we didn't have to overhaul our existing codebase to get it running. Once the initial environment is set up, pushing a model update is as simple as a single click in the UI, which has significantly increased our team's deployment frequency.
What do you dislike about the product?
Since the platform is still evolving as an early stage product in some specialized areas, there are occasionally niche features or very specific edge case integrations that aren't available immediately. While the documentation for the very latest updates can sometimes lag a week behind the releases.
What problems is the product solving and how is that benefiting you?
trueFoundry reduces friction and code pollution, handles auto scaling autonomously, and simplifies deployment without needing Kubernetes expertise. It improves system uptime and reduces deployment time, serving as an abstraction layer that eliminates model rewrites for different SDKs.