Recursive AI Technology

Three pillars of the
Recursive AI Platform

Agentic AI

Multi-modal LLM based agents for well-defined tasks, with quick-development, lower cost.

Science AI

Uses physics-informed neural networks (PINNs) to simulate physical systems (e.g., groundwater level modeling for agriculture and forestry management).

Optimization AI

Solves complex operational challenges (e.g., delivery scheduling, route optimization, resource allocation) using advanced AI techniques such as reinforcement learning (RL) and Monte Carlo Tree Search (MCTS).

Case Studies

Real cases on the Recursive AI Platform

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One of the biggest concerns we had with website templates was performance.

Recursive’s integrated suite of AI solutions power mission-critical business operations, enabling organizations to capture real ROI from the latest advancements in AI research.

Company Name

One of the biggest concerns we had with website templates was performance.

Recursive’s integrated suite of AI solutions power mission-critical business operations, enabling organizations to capture real ROI from the latest advancements in AI research.

Company Name

One of the biggest concerns we had with website templates was performance.

Recursive’s integrated suite of AI solutions power mission-critical business operations, enabling organizations to capture real ROI from the latest advancements in AI research.

Company Name

One of the biggest concerns we had with website templates was performance.

Recursive’s integrated suite of AI solutions power mission-critical business operations, enabling organizations to capture real ROI from the latest advancements in AI research.