AI Agent และโครงสร้างพื้นฐาน

We are creating a new kind of foundation model based on nature-inspired intelligence.

Track and compare token usage and cost across every model you run, with per-project budgets and alerts.

Build and ship voice AI agents that answer calls, book appointments and hand off to humans.

Production-grade voice agents with sub-second latency, call transfer and post-call analysis.

Drag-and-drop AI automations that scrape, summarise and route work across your stack.

Build AI agents in a document — prompts, tools and logic written like prose, shipped as an API.

Product analytics, session replay and feature flags in one open-source platform.

Open-source LLM observability — traces, evals and prompt management for AI apps.

One-line proxy that logs, caches and rate-limits every LLM call you make.

Search API designed for RAG pipelines, returning ranked snippets agents can cite.