Aegis centrally manages API keys, providers, model routing, concurrency, token budgets and audit records for internal AI applications, agents and developer toolchains.
Trigix connects AI models, APIs, databases and SaaS tools through a visual drag-and-drop canvas to build, run and monitor complex business workflows. 180 node types, a Rust DAG execution engine (about 5–10x the throughput of Node.js) and native MCP integration distill our engineering in AI productization and enterprise-grade delivery.
workflow: trigger: webhook.hmac_sha256 canvas: react_flow executor: rust_dag_engine control: [parallel, foreach, retry] nodes: total: 180 ai: [Claude, GPT, Gemini, Qwen] integrations: [GitHub, Jira, Slack] runtime: auth: JWT + RBAC store: postgres + pgvector deploy: docker + k8s_helm
全方向覆盖的企业级安全评测平台,一个平台完成漏洞扫描、渗透测试、合规审计与 AI 安全评测,支持 SaaS 云端与私有化两种交付。
A full stack — from AI products to business systems
Unified model entry, key isolation, provider management, budget control and call auditing.
Build web apps, admin consoles, API services and data pipelines around business processes.
Software testing, compliance support, acceptance testing, risk review and delivery materials.
Server deployment, containerization, log monitoring, upgrades and ongoing support.
From proposal to a running system
Define business goals, AI usage boundaries, data sources, permissions and delivery scope.
Decide between Aegis, Trigix, custom development or a mix, and produce deployment and API designs.
Complete development config, system integration, test fixes, permission setup and acceptance prep in phases.
Handle deployment cutover, runtime checks, user training, documentation and ongoing optimization.
Product updates, engineering practice & company news
Share your business scenario and current systems, and we'll help decide between productized access, custom development or phased delivery.