Most AI agent frameworks today follow the same pattern: chain prompts together, hope for the best, and patch errors reactively. This works for demos. It breaks in production — silently, unpredictably, and often expensively.
Pactis takes a fundamentally different approach. Instead of fragile linear chains, we built a proprietary multi-agent system that processes every project through rigorous quality checkpoints — deep research, strategic decomposition, parallel execution, independent quality review, and adversarial validation — all under the direction of an expert human engineer who reviews each output before delivery.
Every output must survive rigorous review before it reaches production. If an output fails any checkpoint, the system automatically replans and retries — without human intervention. This isn't a chat loop. It's a production pipeline for AI agents.
Founded in 2026, Pactis combines the rigor of classical software engineering with the flexibility of modern AI. The result: multi-agent systems that enterprises can actually depend on.