Whether you need higher-quality outputs, real-time data access, or mission-critical safety -- we have a battle-tested architecture for that.
Every business problem demands a different kind of AI. A chatbot that needs to remember customers is fundamentally different from a trading system that needs to simulate risk. That's why we built 17 distinct agentic architectures -- each engineered for a specific class of challenge. Browse by the problem you're solving, and we'll show you exactly how our platform addresses it.
Browse by Challenge
Higher-Quality Outputs
"Tired of AI outputs that need constant fixing?"
AI that reviews, critiques, and improves its own work before delivering it to you -- and gets better over time by learning from feedback on every task.
Self-Refining AI
Continuously Learning AI
A marketing team uses Self-Refining AI to draft email campaigns. The AI generates copy, critiques it for clarity and persuasion, and delivers a polished version -- reducing editorial rounds from three to one.
"Need AI that works with live data, not stale training?"
AI agents that connect to your APIs, databases, and live data sources -- from simple lookups to multi-hop investigations that adapt as they discover new information. Built-in verification ensures the data is accurate before it reaches your team.
Real-Time Data Access
Adaptive Research Agent
Self-Healing Pipeline
A due diligence team uses an Adaptive Research Agent to investigate acquisition targets -- automatically chaining searches across company registries, financial filings, and news archives to build a comprehensive risk profile.
"Struggling to automate workflows that need more than simple rules?"
From structured step-by-step execution to teams of specialist AI agents that divide and conquer -- these architectures handle the complex, multi-step workflows that traditional automation can't touch. Dynamic routing adapts the workflow in real time based on what the AI discovers.
Structured Workflow Engine
Specialist Team AI
Dynamic Decision Router
An insurance company uses a Dynamic Decision Router to process claims -- routing each claim to the right adjuster based on type, flagging suspicious patterns for fraud investigation, and escalating edge cases to senior reviewers.
"Does your AI forget everything between conversations?"
AI that remembers your users' preferences, history, and context across every interaction -- from conversation-level recall to enterprise-wide knowledge graphs that reason across complex relationships.
Persistent Memory AI
Knowledge Graph Intelligence
A wealth management firm uses Persistent Memory AI to power its client advisory platform. The AI remembers each client's risk tolerance, past discussions, and portfolio changes -- delivering personalized advice without asking the same questions twice.
"Making high-stakes decisions with a single AI perspective?"
AI that explores multiple solution paths simultaneously, simulates consequences before committing, and synthesizes independent perspectives into balanced conclusions -- so you make better decisions with higher confidence.
Systematic Solution Finder
Multi-Perspective Analyst
Risk Simulation Engine
An investment firm uses a Multi-Perspective Analyst with three independent AI analysts -- bullish, skeptical, and quantitative -- who each assess a stock independently. A senior synthesizer weighs all perspectives into a balanced recommendation with an explicit confidence score.
"Can you trust your AI with decisions that actually matter?"
AI systems with built-in safety gates -- from human approval checkpoints to self-aware agents that know their own limitations and escalate when uncertain. Because in regulated industries, "the AI got it wrong" isn't an acceptable answer.
Human Approval Gateway
Self-Aware Safety Agent
A hospital deploys a Self-Aware Safety Agent for patient triage. It answers routine health questions directly, uses drug interaction checkers for medication queries, and immediately escalates emergencies to medical professionals -- never overstepping its competence.
Intelligent routing systems that analyze incoming requests and dispatch them to the right specialist -- plus emergent coordination systems where thousands of simple agents solve large-scale logistics problems without central planning.
Intelligent Task Router
Emergent Coordination System
A SaaS company uses an Intelligent Task Router as its unified support interface. Customer queries are automatically classified and routed -- billing issues go to billing, technical bugs to engineering, account questions to the account team -- all through a single entry point.
Take our 2-minute Architecture Assessment. Answer a few questions about your use case, and we'll recommend the architectures that match your needs -- with reasoning you can share with your team.