Industry Solutions
Each solution ships with pre-built pipelines, sample data, and live demos you can deploy today.
Detect fraud in milliseconds, not overnight.
Route critical cases to specialists instantly.
Automate support at scale with AI classification.
Turn every customer signal into action.
Reduce MTTR with AI-powered observability.
Automate compliance at scale.
Scale content operations with AI.
De-risk your supply chain with real-time intelligence.
Architecture Patterns
Common architecture patterns used across all 32 pipelines. Each compiles to a distributed in-memory DAG.
LLM Router with multi-way branching. A single LLM call classifies input and routes to different sinks based on the result.
Used in: Support routing, clinical triage, news categorization
Threshold-based second LLM for cost optimization. Only uncertain results get escalated to a more expensive model.
Used in: Fraud detection, content moderation, KYC screening
Dual-pipeline architecture: an ingest pipeline embeds documents into pgvector, a query pipeline retrieves and augments LLM context.
Used in: Knowledge bases, FAQ, clinical trial search, legal RAG
Filter, aggregate in tumbling windows, apply threshold logic, then trigger AI analysis on anomalous windows.
Used in: Sentiment dashboard, log anomaly, trade surveillance
LLM Agent with ReAct loops. The pipeline orchestrates tool calls, observation steps, and iterative reasoning until the agent reaches a conclusion. Each loop iteration is a streaming pipeline stage, not an HTTP roundtrip.
Used in: Product recommendations, agentic research, supplier risk assessment
Get Started
Pick an industry, choose a pipeline, and deploy it to your infrastructure. Our team will help you customize and scale.