Benchmarks

Bespoke accuracy benchmarks.

Highest precision business intelligence for enterprise AI, tested against leading multi-domain evaluation standards.

Multi-Dimensional Performance

A comparison of KriyagniAI against general-purpose LLMs across five critical BI vectors.

KriyagniAI Orchestrator

Confidence-native dataset mapping, structured due diligence reasoning, and 70+ verified direct domain attributions.

General Industry Baseline

Probabilistic RAG pipelines, general-purpose LLMs, and unstructured source queries prone to hallucinations.

88.5%
Composite Accuracy Score
BI AccuracyReasoningSynthesisFreshnessAttribution

90% Factual Accuracy

Exceeds the domain standard by +7.3pts inside the CLASSic enterprise verification framework.

50+ Step Planning

85% 성공률 inside complex multi-domain reasoning environments (AgentBench tasks).

48x Fast-to-Insight

Delivering analyst-caliber research in under 1 hour, compared to 2-3 days for traditional human baselines.

90%

Factual Accuracy

CLASSic BI Standard

85%

Complex Planning

50+ steps AgentBench

95%

Attribution Score

Direct domain mappings

48-72x

Insight Velocity

Speed vs manual PE briefs

Evaluation Protocol

Transparent evaluation.

Tested against independent, public benchmarks from Stanford HAI, Princeton, and IBM Research. No proprietary bias.

01

Define the Domain

Isolating critical strategic targets.

02

AI-Driven Criteria

Dynamic validation logic rules.

03

Benchmark Validation

Testing against baseline LLMs.

04

Analysis & Insights

Attributing results with evidence.