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A delightful developer experience for
fast-moving engineering teams
Go from zero to production in hours using our SDKs.
More languages coming soon.
Building reliable AI systems is complex. Managing state, handling failures, and implementing proper observability takes months of engineering time. Synchronizing agent state across services creates distributed systems challenges that slow down development.
CHALLENGE
Inferable provides deterministic controls that wrap your existing functions and APIs.
Build customizable agents without modifying your codebase, while maintaining full
control over execution and state management.
SOLUTION
BENEFIT
  • Wrap existing code & APIs
  • Source-backed controls
  • Local-first development
  • Deterministic boundaries
Experiment, Deliver, and Scale.
Inferable helps the entire engineering team be productive on day one.
AI projects that work with distributed systems, using your existing services often become infrastructure challenges rather than business solutions. Teams get bogged down learning new tools and frameworks instead of delivering features, while business demands for AI capabilities continue to grow.
CHALLENGE
Inferable offers flexibility without lock-in. Deploy to our Stelion or self-host for complete control. Our language-agnostic control plane lets your team use existing tools and infrastructure while moving quickly on AI features.
SOLUTION
BENEFIT
  • MIT-licensed, no black boxes
  • Self-hosted or Stelion
  • No re-writes. Extend current systems.
  • Start shipping in minutes
Experiment, Deliver, and Scale.
Inferable helps the entire engineering team be productive on day one.
For Security Teams
AI systems often require exposing sensitive data to external services, creating compliance risks and complex security boundaries. Existing auth and RBAC systems need modifications, while cloud-based frameworks are difficult to audit.
CHALLENGE
Your tools run entirely within your infrastructure and security boundaries. Optionally, self-host for zero egress of data. Integrate with your existing observability stack and security policies. Maintain complete control over compute resources while supporting custom auth and RBAC systems.

SOLUTION
BENEFIT
  • No network ingress
  • You own the compute
  • MIT-licensed open source
  • Uses existing auth & RBAC
Experiment, Deliver, and Scale.
Inferable helps the entire engineering team be productive on day one.
Deploying AI systems that work with your existing infrastructure requires complex networking setups and infrastructure modifications. Opening private subnets for cloud agent access creates security risks, while new components increase operational complexity and on-call burden.

CHALLENGE
Inferable integrates seamlessly with your existing infrastructure stack. Run agent actions within your current environment, whether k8s, bare metal, or cloud. Long-polling architecture eliminates the need for new load balancers or ingress points.

SOLUTION
BENEFIT
  • No inbound connections required
  • Tolerates autoscaling
  • Works with existing observability tools
  • Zero gateway configuration
Experiment, Deliver, and Scale.
Inferable helps the entire engineering team be productive on day one.
Batteries-included agent runtime

We bring vertically integrated agent orchestration. You bring your product and domain expertise.

Architecture
Private Networking
Distributed Function Orchestration
At the core of Inferable is a distributed message queue with at-least-once
delivery guarantees. It ensures your AI automations are scalable and reliable
Adoption
Re-use your codebase
Decorate your existing functions
and APIs. No new frameworks to
learn.
Observability
Observability
Get end-to-end observability into
your AI workflows and function
calls. No configuration required.
SDKs
Language Support
Inferable has first class support
for Node.js, Golang, and C#, with
more on the way.
Run Schema
Structured Outputs
Enforce structured outputs, and
compose, pipe, and chain outputs
using language primitives.
Human in the Loop
Human in the Loop
Model human in the loop with a simple API that allows you to pause a function execution for an indeterminate amount of time. Whether the human responds in a few minutes or a few months.

On-premise Execution
On-premise Execution
Your functions run on your own infrastructure, LLMs can't do anything your functions don't allow. Since the SDK long-polls for instructions, no need to allow any incoming connections or provision load balancers.
Agent Runtime
Stelion Agent Runtime
Inferable comes with a built-in ReAct agent that can be used to solve complex
problems by reasoning step-by-step, and calling your functions to solve sub-
problems.