Orchestrated Language Architecture
One framework. Any domain. Any model.
The Problem
AI agents generate output. Nobody verifies quality. Until now.
Architecture
01
Domain-specific AI agents — researchers, analysts, writers — each with distinct expertise and roles.
02
Structured workflows that move through research, synthesis, drafting, and review in coordinated stages.
03
Automated verification between every phase. Output is evaluated before the pipeline proceeds.
04
Claude, GPT-4, Gemini, and open models like Nemo in one pipeline. True cognitive diversity across providers.
Benchmarks
7.0 vs 6.6
OLA vs Expert Output
Weighted average across evaluation criteria
8.0 vs 2.7
Executive Summary Quality
Structured summaries vs human-produced
$0.15–0.30
Per Pipeline Run
Multi-agent, multi-phase, quality-gated
Capabilities