tinycorp.io

What It Is

tinycorp is a company positioned around “trusted AI infrastructure.” Its flagship product, Conduit, is designed for enterprise AI Agent and autonomous system governance. It is not a general-purpose chatbot or model platform. Instead, it adds a real-time control layer between an Agent’s autonomous intent and system execution, intercepting API calls or tool calls and performing policy checks and logging before execution.

Core Capabilities

Conduit is centered on runtime control. It captures the identity, tool context, and runtime metadata of every action request, then uses a policy engine to evaluate authorization, risk, and constraints before deciding whether to allow, deny, or attach conditions to the action. Its capabilities cover full observability, policy guardrails, audit-ready records, anomaly detection, framework support, and a low-latency control plane. Typical use cases include preventing data exports induced by prompt injection, blocking infrastructure changes that exceed role or environment boundaries, and reconstructing the full decision chain for compliance investigations.

Pricing and Trial

The main content does not disclose pricing, plans, free quotas, trial periods, or payment methods, and only provides “Request Access.” This suggests it is currently more of an enterprise sales or early-access model. Before purchasing, teams will need to discuss deployment scope, risk models, and launch goals with the vendor.

Pros and Cons

The main advantage is its highly focused positioning: it targets the security, compliance, auditability, and accountability issues that arise when enterprises put Agents into production. Pre-execution interception is better suited to high-risk workflows than after-the-fact logging. It also emphasizes millisecond-level policy checks, aiming to reduce the impact of governance on product velocity. The downside is the lack of public detail: it does not specify which Agent frameworks, cloud environments, deployment methods, SLA, permission models, data retention policies, or compliance certifications are supported. Customer references and real-world performance metrics are also missing.

Who It’s For

Conduit is better suited to mid-sized and large enterprises that already deploy Agents, automated tool calls, or infrastructure change workflows in real business environments, especially teams working in security, platform engineering, compliance, risk control, and AI governance. If the use case is only personal writing, customer-service Q&A, or lightweight automation, Conduit may be overkill.

Access from China

Access from mainland China, Chinese-language interface, Chinese documentation, RMB payments, and localized deployment information are all undisclosed, so they should be considered unknown for now. If data compliance or cross-border transfer requirements apply, it is advisable to first confirm options for private deployment, data residency, and audit-data handling. Teams may also want to compare it with internal gateways, permission systems, cloud-vendor AI governance tools, or open-source Agent Guardrail solutions.