Oya provides a production‑grade runtime that lets organizations create, deploy, and manage AI Employees—autonomous agents that perform repetitive operational tasks within existing software stacks.
Funding
Funding not disclosed
Founders
Product
Problem
Companies need to staff repetitive operational roles such as sales outreach, content publishing, and data triage, but hiring full‑time employees for these tasks is costly and slow, especially for early‑stage teams and agencies.
Solution
Oya offers a production‑grade runtime platform that lets organizations create, deploy, and manage AI Employees—autonomous agents that operate within existing software stacks. Users select a role, connect tools (Slack, Gmail, LinkedIn, Google Sheets, etc.), and define schedules or triggers; the platform compiles the agent into Python code that runs in isolated sandboxes. Each AI Employee can execute deterministic skills, access a knowledge base, and interact through chat or webhooks while logging every input, output, and cost breakdown for full observability. The service provides pre‑built templates for common roles, a catalog of 60+ reusable skills, and 20+ managed integrations, enabling teams to launch functional agents in minutes without custom infrastructure. Billing is usage‑based, charging only for each run (average $0.002), with transparent itemized cost reports.
Target Audience
Primary customers are founders and small teams that need a full operational staff without hiring, growth and marketing teams seeking automation of repetitive tasks, and agencies that build and manage AI Employees for multiple clients.
Features
- Pre‑built role templates (SDR, LinkedIn manager, SEO, etc.) and 60+ production‑ready skills that can be combined modularly
- Managed integrations with 20+ tools (Slack, Gmail, LinkedIn, Google Sheets, Apollo, Discord, Telegram, etc.) requiring no API key handling
- Scheduled routines and webhook triggers that automate actions on daily, weekly, or custom intervals
- Persistent knowledge base that ingests docs, URLs, PDFs, allowing agents to learn and reference company‑specific information
- Full observability: every action logged with inputs, outputs, token usage, tool calls, and cost breakdown
- Isolated sandbox execution of Python‑based skills for deterministic, reliable performance
- OpenAI‑compatible API and CLI for developers to embed agents into custom applications