APIDNAAI platform that automates multi‑step API integrations with vertically‑trained agents

APIDNA is an AI platform that builds vertically‑trained autonomous agents to automate complex enterprise workflows across APIs, databases, and legacy systems. It targets organizations that need reliable, production‑grade integration of disparate software, especially in regulated industries such as finance, payments, and security. The platform claims to close the gap between demo‑level AI agents and operational use by training agents on the specific domain, rules, and data structures of each customer. Agents are created on an execution layer that can invoke APIs, read and write to ERPs, and process structured or unstructured documents. The platform provides an execution canvas where multiple specialized agents can be orchestrated in parallel, enabling multi‑step, branching workflows without custom middleware. Monitoring, governance, and audit capabilities are built in from day one. The service reports 99.98 % match accuracy, 99.99 % uptime SLA, and maintains full trace logs for each action, supporting compliance frameworks such as ISO 20022, PSD2, GDPR, and SOC 2 Type II. Reported performance metrics include an average of 3,847 live actions per minute and a typical deployment time of under 48 hours once the target ERP schema is confirmed. The platform also offers agents for specific tasks such as reconciliation, compliance report generation, knowledge indexing, anomaly detection, and DORA reporting. Limitations include the need for domain‑specific training and schema confirmation before agents can operate, and the platform appears focused on larger enterprises with strict governance requirements, which may limit suitability for small teams or low‑complexity integrations.