Arcten

Scalable infrastructure for production-grade long-horizon AI agents.

Arcten is an infrastructure platform designed to support the deployment of autonomous AI agents that run complex, multi-step tasks over extended periods — what the field refers to as long-horizon agents. While many AI infrastructure platforms focus on short request-response interactions, Arcten addresses the specific challenges of agents that need to maintain state, stream outputs, and manage sessions across tasks that may run for minutes, hours, or longer. It provides session management, streaming support, and deployment tooling as managed infrastructure so development teams can focus on agent logic rather than the operational complexity of running long-running agents reliably at scale. Arcten targets SMB and mid-market development teams and uses multiple LLM providers.

Compliance

SOC 2

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Key Features

Scalable session management: Handles the session lifecycle for long-running agents — including state persistence, resumption, and cleanup — at scale, without requiring teams to build custom session infrastructure.
Streaming support: Provides first-class streaming capabilities for agent outputs, enabling real-time display of agent progress and intermediate results rather than waiting for task completion before surfacing anything to the user.
Deployment tooling: Offers production deployment infrastructure for AI agents, covering the operational concerns — scaling, reliability, monitoring — that teams must address when moving from development to production.
Long-horizon task support: Specifically designed for agents that execute complex, extended tasks rather than single-turn interactions, with infrastructure primitives that support the state management and durability those tasks require.
Multi-model compatibility: Works with multiple LLM providers, making it infrastructure-layer agnostic to the model stack teams use to build their agents.

Use Cases

For development teams deploying autonomous research or analysis agents: A team building an agent that autonomously conducts multi-hour research tasks — browsing, reading, synthesizing — uses Arcten to handle session management and state persistence without building a custom execution runtime.
For startups building agentic products that need production infrastructure: An early-stage company whose product relies on long-running AI agents deploys on Arcten to get the reliability, scaling, and operational tooling of a managed infrastructure platform without building it in-house.

Pricing MODELS

Usage-based

Pricing Summary

Arcten uses a usage-based pricing model with custom enterprise pricing for larger deployments. Specific usage-tier pricing is not publicly listed — teams contact the company or review current documentation for details.