Radial provides an AI‑driven support platform for technical product teams that automatically ingests API specs, SDKs, logs, and documentation to diagnose and remediate integration and infrastructure issues.
Funding
Funding not disclosed
Founders
Product
Problem
Technical product teams often struggle to provide fast, accurate support for API, integration, and infrastructure issues across multiple communication channels. Manual troubleshooting requires deep knowledge of specifications, logs, and SDKs, leading to slow resolution times and increased developer friction.
Solution
Radial offers an AI‑driven support platform that ingests API specifications, SDKs, logs, and documentation to automatically diagnose and remediate technical issues. The system runs predefined debugging workflows, adjusts configurations, and can requeue failed deliveries, while preserving full technical context for any necessary human escalation. An omnichannel command center monitors AI agent performance and provides insights across email, chat, SMS, and voice interactions. Users can configure the level of AI autonomy, ranging from fully automated resolutions to human‑in‑the‑loop oversight, ensuring appropriate control over support processes. Integrations with third‑party and internal tools enrich the AI’s knowledge base, enabling rapid, precise assistance that scales with support demand.
Target Audience
Radial is aimed at developer‑focused product teams, API providers, and SaaS companies that serve technical buyers and need to deliver efficient, high‑quality support for integration and infrastructure issues.
Features
- Automatic ingestion of API specs, SDKs, logs, and documentation to build a comprehensive technical knowledge graph
- AI agents that diagnose API errors, integration failures, and infrastructure issues and execute corrective actions such as adjusting limits or requeuing deliveries
- Omnichannel support handling email, in‑app chat, SMS, phone calls, and other communication streams
- Centralized command center for real‑time monitoring of AI performance, ticket metrics, and interaction analytics
- Configurable autonomy settings allowing fully automated resolutions or human‑in‑the‑loop escalation with full context
- Rich integrations with core third‑party and internal tools to extend AI capabilities and access internal systems
- Scalable architecture delivering low‑latency responses suitable for high‑volume technical support environments