Calljmp provides an AI platform for developers to build and deploy SaaS copilots and intelligent agents as code using TypeScript. This platform manages the agentic backend, allowing integration of AI features directly into existing applications without building new infrastructure. It handles agent execution, state management, and observability while connecting agents securely to proprietary APIs and data sources.
Funding
Funding not disclosed
Founders
Product
Problem
Developers building AI‑enabled features must provision and maintain complex backend infrastructure for agent execution, state management, scaling, security, and integration with existing APIs and data stores. This overhead slows time‑to‑market and forces product teams to split focus between core business logic and AI plumbing.
Solution
Calljmp offers a managed, edge‑native platform where AI agents and workflows are authored directly in TypeScript. The platform abstracts away runtime concerns—handling agent execution, retries, timeouts, persistent memory, and human‑in‑the‑loop approvals—while providing secure, low‑latency access to your APIs, databases, and vector stores. Developers invoke agents via a lightweight SDK or HTTP endpoint, and all traces, logs, metrics, and cost data are consolidated in a unified dashboard. By deploying on Cloudflare Workers, the service delivers global edge performance with predictable pricing, enabling product teams to embed copilot‑style experiences without building or scaling custom AI backends.
Target Audience
The primary customers are SaaS product developers and engineering teams building web or mobile applications that need embedded AI copilots, support agents, or automated workflows, as well as enterprises seeking to scale AI‑driven automation across multiple internal tools.
Features
- TypeScript‑first agent definition with built‑in abstractions for tools, guards, and multi‑step workflows
- Managed agentic runtime on Cloudflare Edge for automatic scaling, zero‑cold‑start deployment, and sub‑millisecond latency
- Unified tool integration: expose any REST API, database query, or custom function as a secure “tool” callable by agents
- Persistent, queryable memory using built‑in vector and hybrid search, supporting Retrieval‑Augmented Generation (RAG) pipelines
- Human‑in‑the‑loop (HITL) workflow hooks for approvals, manual feedback, and audit trails
- Full observability: real‑time traces, logs, execution metrics, and cost tracking accessible via the Calljmp dashboard
- Security controls including row‑level security, app attestation, encrypted data at rest, and role‑based access management
- SDKs for React, React Native, and generic HTTP clients, plus a simple HTTP API for any platform