Thefutureofintelligentautomation.
Agilyti engineers production grade agentic AI systems and autonomous workflows enabling enterprise platforms to optimize process efficiency and maximize operational velocity.
Autonomous AI Agents
Agentic architectures engineered for multi-step reasoning, contextual execution, and complex task completion with zero human-in-the-loop dependencies.
Adaptive Workflows
Self-optimizing data pipelines and deterministic feedback loops that ingest production telemetry to continuously refine enterprise business processes.
Intelligent Automation
End-to-end process orchestration powered by fine-tuned large language models and custom AI toolchains integrated natively into your engineering stack.
Six agentic patterns we ship to production.
From enterprise multi-agent orchestration to secure Model Context Protocol (MCP) server integration production-grade agentic AI architecture.
Multi-Agent Systems
Supervisor-agent architectures routing workflows to specialized sub-agents. Built via deterministic Directed Acyclic Graphs (DAGs) and robust handoff protocols using LangGraph, AutoGen, or native custom frameworks.
MCP Integration
Production deployment of permissioned tool registries and Model Context Protocol (MCP) servers. Your legacy APIs, relational databases, and enterprise services are made safely accessible through structured interfaces.
Agent Evals
Continuous benchmarking of objective goal-completion rates, cost per task, and adversarial inputs. Rigorous evaluation pipelines ensure system safety before product deployment
Goal completion
94%
Cost per task
$0.08
Red-team pass
99%
Human-in-the-Loop
Deterministic state machine interruption gates, confidence score thresholds, fallback chains, and comprehensive compliance audit trails engineered into the runtime environment.
Everything Your AI
Business Runs On
- Autonomous AI Agents
- Workflow Automation
- Performance Telemetry
Autonomous AI Agents
Deploy intelligent agents that process context, execute multi-step reasoning, and perform complex tasks autonomously across your enterprise infrastructure.
- MARKET RESEARCH SUMMARY
- REVIEW AND SUMMARIZE CONTENT
- USER PERSONA INSIGHTS
- SURVEY RESULTS AND FINDINGS
- MARKET RESEARCH SUMMARY
- REVIEW AND SUMMARIZE CONTENT
- USER PERSONA INSIGHTS
- SURVEY RESULTS AND FINDINGS
Workflow Automation
Orchestrate complex business processes with dynamic task routing, conditional logic, and deterministic handoffs across multi-agent systems.
Performance Telemetry
Monitor real-time performance signals, resolve execution bottlenecks, and continuously optimize agent efficiency with production-grade analytics.
Agentic AI fails at the orchestration layer We fix all of it.
Real numbers from agentic systems running in production, not slideware.
Task success rate across production agentic deployments
Deterministic state-machine transitions and fallbacks engineered for autonomous reliability.
From scope to first active agent in staging
Pre-built orchestration templates and MCP connectors deployed rapidly to your development environment.
Median cost per agent task completion
Intelligent model routing and prompt caching optimized to minimize LLM compute overhead.
Build Production Grade Agentic AI
Autonomous workflows, multi-agent orchestration, and Model Context Protocol (MCP) server integration engineered for runtime reliability, not demos.