Atina
Atina helps mid-market companies turn AI initiatives into measurable P&L outcomes by mapping opportunities against financial numbers, redesigning processes, and deploying autonomous agents. The company's agents work across retail, finance, and inventory operations, with proven results including a 5-point gross margin increase from dynamic pricing and a reduction in month-end close from day 20 to day 5. Atina integrates with 700+ systems including CRMs, ERPs, and spreadsheets without requiring system migration.
- AI Agents
- Artificial Intelligence
- Enterprise Software
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Mid-market companies face pressure to adopt AI but often invest in initiatives that never touch the profit and loss statement, resulting in strategy decks, stalled pilots, and chatbots nobody asked for. Most AI projects fail because the specific financial line they are supposed to move is never identified, and copying existing human processes into agents simply automates the problem as it stands.
Solution
Atina maps AI opportunities directly against a company's financial numbers, then builds and deploys autonomous agents that move specific P&L lines such as gross margin, working capital, and hours. The company redesigns the underlying process before building the agent, ensuring transformation rather than automation of inefficiency. Atina's agents work across retail, finance, and inventory operations, with proven results including a 5-point gross margin increase from dynamic pricing, a reduction in month-end close from day 20 to day 5, and two months of working capital recovered from dead inventory. The company integrates with 700+ systems including CRMs, ERPs, and spreadsheets, and delivers measurable outcomes from the first week of engagement.
Target Audience
Primary customers are mid-market companies across retail, finance, and inventory-heavy operations that need AI initiatives tied directly to measurable P&L outcomes.
Features
- Process redesign before agent deployment, ensuring the underlying workflow is optimized rather than simply automated
- Autonomous agents for finance operations including month-end close, accounts payable, and expense reconciliation, replacing the manual analyst layer
- Full-stack dynamic pricing engine with daily competitor price scraping, elasticity modeling, and category/city-specific pricing rules applied automatically at scale
- Plain-language querying of ERP, inventory, purchasing, and sales data to surface insights like trapped working capital in dead inventory
- Integration with 700+ systems including CRMs, ERPs, and spreadsheets without requiring system migration
- Honest AI fit assessment, declining projects where AI is not the right tool for the financial outcome sought