When your AI agents make business decisions, adjusting pricing, rebalancing portfolios, planning capacity, can you explain exactly why? Can you prove to auditors the logic was sound?
Djina sits between your AI agents and your business reality, giving you a living model that explains, predicts, and proves every decision.
Djina is a modeling platform for AI agents and automated workflows.
Define how your business actually works, and relationships stay valid as
your operations grow complex.
Call Djina via HTTP nodes. Query models, run scenarios, get predictions, right in your workflows.
Integrate via REST or Python APIs. Give your agents deterministic calculation capabilities.
Works with any language, any framework. If you can call an API, you can use Djina.
Trigger agents when model conditions change. React to business events in real-time.
Traditional approach: Rebuild for each new scenario.
Djina: Add scenario without refactoring.
Traditional approach: Duplicate formulas for each variation.
Djina: Write formulas once, they work across all variations.
Traditional approach: Hunt through code to update dependencies.
Djina: Update once, system recalculates automatically.
Traditional approach: Piecing together partial analyses.
Djina: Single model, complete traceability, infinite views.
The world's complex systems run on calculations. Those calculations need to evolve as conditions change.
Djina provides the platform to make that possible without rebuilding, without refactoring, without scattered logic.
Model once. Explore infinitely.