Every enterprise wants AI agents. The promise is irresistible: intelligent software that can reason, act, and deliver results with minimal human supervision. But there is an uncomfortable truth that anyone who has tried to ship an AI agent into production already knows -- the gap between a working prototype and a production system is enormous.
A demo that impresses stakeholders in a meeting room falls apart the moment it encounters real-world complexity. Models hallucinate. Responses come back in unexpected formats. Provider APIs go down at 2 AM. There is no audit trail, no way to debug what happened, and no mechanism to gracefully degrade when things go wrong. The prototype works; the product does not.
This is not a failure of AI itself. It is a failure of infrastructure. And that is the problem we built FireFoundry to solve.
Today, we are announcing FireFoundry: the Agent-as-a-Service platform -- enterprise infrastructure for building, deploying, and operating AI agents at production scale. FireFoundry is now available in private beta.
What is Agent-as-a-Service?
Agent-as-a-Service is a new category of infrastructure. It is the complete platform for the AI agent lifecycle -- from initial development through deployment, monitoring, and ongoing operations. It is not a library you bolt onto your existing stack. It is not a low-code drag-and-drop builder. It is a full-stack platform that provides the SDK, runtime services, management console, and operational tooling that production AI agents require.
Think about what application servers did for web applications in the early 2000s. Before platforms like J2EE and later frameworks like Spring, every team building a web application had to solve the same infrastructure problems from scratch: connection pooling, session management, transaction handling, security. Application servers abstracted those concerns away so developers could focus on business logic.
AI agents are at that same inflection point today. Every team building production agents is solving the same problems independently: how do you route between multiple LLM providers? How do you handle provider outages? How do you trace a multi-step agent workflow end to end? How do you enforce access controls? How do you validate that model output matches your expected schema?
FireFoundry provides the answer. Instead of building this infrastructure yourself, you build on top of ours. Your team focuses on agent logic and business value; we handle the platform concerns that make agents production-ready.
The Three Pillars of Production AI
FireFoundry is architected around three pillars that we believe every production AI system must embody. These are not aspirational goals -- they are engineering requirements.
Reliable
Production AI cannot depend on a single provider or a single model. FireFoundry's Broker Service provides multi-provider routing with automatic failover across LLM providers. If your primary model is unavailable, requests are seamlessly rerouted to a fallback -- with configurable policies for cost, latency, and capability matching. The platform includes structured output validation to ensure model responses conform to your expected schemas, and graceful degradation strategies so your agents can continue operating at reduced capability rather than failing entirely. Reliability is not optional when real users depend on your agent.
Observable
You cannot fix what you cannot see. FireFoundry provides full telemetry and distributed tracing across every agent interaction. Every LLM call, every tool invocation, every decision point is captured and correlated. The Management Console provides real-time dashboards for throughput, latency, error rates, and cost. Most significantly, FireFoundry offers natural language log search -- ask questions like "show me all conversations where the agent failed to resolve the customer issue" and get back the exact traces. When something goes wrong at 2 AM, your on-call engineer can find the root cause in minutes, not hours.
Operational
Enterprise software lives in a world of environments, permissions, and compliance requirements. FireFoundry is built for that world. The platform provides environment management (development, staging, production) with promotion workflows. Role-based access control ensures the right people have the right level of access. Comprehensive audit logging captures every configuration change and administrative action. And because FireFoundry is Kubernetes-native, it deploys into your existing infrastructure and operational practices. This is not a SaaS black box -- it runs where your other critical systems run.
What is Included: Batteries Included
FireFoundry is not a minimal framework that leaves you to assemble the rest. It is a batteries-included platform. Here is what ships out of the box:
- TypeScript Agent SDK -- Build agents using a first-class SDK with built-in support for the Entity Graph (persistent business objects), Bots (conversational agents), and Workflows (multi-step orchestration). Define your domain model and the SDK handles persistence, state management, and lifecycle.
- ff-cli -- A command-line tool for scaffolding new agent projects, managing deployments, running local development environments, and administering your FireFoundry installation. Get from zero to deployed agent in minutes.
- Runtime Services -- A suite of microservices that power your agents: the Broker for LLM routing, Entity Service for persistent state, Context Service for conversation memory, Sandbox for secure code execution, Document Processing for PDF and file handling, and Data Access for connecting to external systems.
- Management Console -- A web-based operations dashboard for monitoring agent performance, searching logs, managing environments, configuring RBAC, and visualizing your agent fleet in real time.
- Functions-as-a-Service -- Deploy custom compute functions that your agents can invoke. Think serverless, but integrated directly into the agent runtime with full observability.
- Cloud Manager -- Synchronize your infrastructure definitions and keep environments consistent across development, staging, and production clusters.
- Marketplace -- A catalog of pre-built applications and agent templates. Launch proven solutions like FireIQ (intelligent Q&A) or AI Training Portal rather than building everything from scratch.
Built for AI-First Development
There is an important philosophical distinction that sets FireFoundry apart from other platforms in the agent space. We are not building a low-code tool. We are not building a visual workflow editor. We are building infrastructure for real code written by real developers -- and increasingly, by AI coding assistants working alongside them.
The FireFoundry SDK is designed to be AI-friendly. Its APIs are clean, well-documented, and follow consistent patterns that AI coding tools understand naturally. You can "vibe code" a simple agent -- describe what you want to a tool like Claude Code or Cursor, and it can generate a working FireFoundry agent from the description. For complex agents with sophisticated business logic, you architect the system yourself while letting AI assistants handle the scaffolding and boilerplate.
This is the development workflow we believe will define the next era of software engineering: humans set the direction and make architectural decisions, AI assistants accelerate the implementation, and the platform handles the infrastructure. FireFoundry is purpose-built for this model.
We go even further. FireFoundry provides its own Virtual Workers -- AI-powered coding assistants that understand the FireFoundry platform deeply. These are not generic code completion tools. They understand your Entity Graph schema, your Bot configurations, your deployment topology. They can help you build, debug, and optimize agents with platform-specific knowledge that general-purpose assistants lack.
Now in Private Beta
FireFoundry is available today in private beta. We are working closely with a select group of design partners to refine the platform before general availability. Our beta partners span industries -- from financial services firms building compliance agents to healthcare organizations deploying clinical decision support, to technology companies creating AI-powered developer tools.
If you are building production AI agents and tired of reinventing infrastructure, we want to hear from you. Request beta access by contacting us at firefoundry@firebrand.ai. We are particularly interested in teams that have experienced the prototype-to-production gap firsthand and are looking for a better way.
Looking ahead, we are expanding the FireFoundry Marketplace with new pre-built applications. FireIQ, our intelligent Q&A platform, is already available for beta partners. The AI Training Portal, which enables organizations to build and deploy custom training programs powered by AI agents, is coming soon. We envision the Marketplace becoming a thriving ecosystem where organizations can share, discover, and deploy agent solutions.
The Road Ahead
Our vision for FireFoundry is straightforward: make AI agents as reliable and manageable as traditional enterprise applications. The technology behind AI agents is advancing at a breathtaking pace. New models are more capable every quarter. New techniques for reasoning, planning, and tool use emerge constantly. But none of that potential matters if you cannot deploy, monitor, and operate agents in production with confidence.
That is the infrastructure gap we are closing. FireFoundry gives your team the platform to build agents that are not just impressive in a demo, but dependable in the real world -- agents that handle edge cases gracefully, that provide full visibility when things go wrong, and that operate within the governance frameworks your organization requires.
The era of production AI agents is here. We are building the infrastructure to make it real.
Ready to get started? Visit the developer documentation to explore the SDK and platform architecture, or request beta access to start building today.