What types of agentic AI systems do we build?
We design intelligent agents that perceive, decide, and act autonomously across your operations. From instant reactive responses to self-improving learning systems, each architecture solves specific business challenges.
Reactive agents
Perfect for high-volume, time-sensitive scenarios where predefined patterns drive optimal outcomes. These agents perceive conditions through sensors, match patterns against decision rules, and execute actions. For example, customer inquiries get routed to specialists based on keywords and urgency signals.
Deliberative agents
Deliberative agents excel when you need strategic thinking before acting. They maintain environmental representations, simulate outcomes, and optimize actions. For instance, a supply chain agent weighs sourcing options, given cost, lead time, supplier reliability, and geopolitical risks to recommend optimal strategies.
Collaborative multi-agents
Networks of specialized agents work in collaboration. Multi-agent systems use frameworks like LangGraph and AutoGen for orchestration. Sales agents update forecasts. Finance agents adjust budgets. Logistics agents coordinate shipments. They negotiate priorities, delegate tasks, and synchronize actions autonomously.
Generative agents
With agentic AI, generative agents go beyond answering. For example, your clients want to plan and execute a personalized vacation itinerary. Our generative agents, powered by LLMs and APIs, break down your high-level goal into subtasks, interact with various systems, gather real-time data, and make context-aware decisions.
Learning agents
Learning agents improve by tracking, testing, and adapting. Using reinforcement learning, these agents experiment with strategies, measure outcomes, and optimize behavior automatically. Take the case of pricing agents. They trial discount strategies, track conversions, and refine tactics dynamically.
Hybrid agents
When a workflow requires multiple agent types, hybrid agents are useful. Many processes demand reactive speed, deliberative planning, generative creativity, and learning growth working together. We build layered architecture and integrated modules to develop an integrated ecosystem with coordination mechanisms.
