How it works
KriyagniAI: Traceable Business Intelligence
From ingestion to defensible decision.
Step 01 Visual Validation
Ingest & Link Process
Connect public datasets, filings, and signals into a unified source graph.
Corporate Graph Synthesis
➔ parse_filing("Longi_2025_Annual.pdf")✓ Indexed
➔ map_subsidiaries("Longi Solar PV Ltd")✓ 14 Nodes
Powered by our Intelligence Orchestration: Multi-source validation. Temporal awareness. Tier-weighted truth estimation.
Scoring Framework
Measured uncertainty.
Evaluates evidence strength. Assigns confidence bands. Explainable outputs.
- • Automated provenance
- • Bias detection
- • Compliance documentation
High Confidence
0%
Based on analysis.
Workflow Logic
Intelligence Orchestration
A 7-layer pipeline designed for high-fidelity research.
LAYER 01 Active Pipeline
Request Intake & Scope
Entity identification, research goal, depth, geography, and custom time window parameters.
Standard compliance standard: KriyagniAI-1000 Corpus Engine
Solutions
High-stakes research.
Aligning analysts and executives.
Confidence ScoringScore calibration
Confidence scoring
Highlights claims requiring review.
Evidence TieringTier routing
Evidence tiering
Trust levels for every source.
WorkflowsEnterprise RAG
Analyst workflows
Review queues. Redline feedback. Templates.
SecurityData governance
Secure deployment
Private cloud or on-prem. Enterprise access controls.