Trustworthy intelligence

Train AI that thinks.

KriyagniAI builds confidence-aware research systems that explain every claim, cite every source, and highlight uncertainty before decisions are made.

Trusted by teams in finance, healthcare, and defense research.
AI Inference Process Diagram

Summary

Confidence-native.

From probabilistic answers to verifiable intelligence. Structured evidence. Real-time evaluation. Clarity.

Evidence graphing

Connect claims to sources. Audit trails in seconds.

Uncertainty scoring

Calibrated confidence. Alerts when the model isn't sure.

Analyst-grade

Reports, summaries, dashboard. Compliance ready.

The Intelligence Trade-off

Where KriyagniAI stands in the landscape

Speed
Depth + Accountability

Manus / Google Deep Research

FastGenericUnaccountable

ChatGPT / Perplexity

FastDecentNo India lens

KriyagniAI

Slower✨ DeeperSector-specificDefensible

No guessing.

Retrieval. Reasoning. Confidence modeling. Transparent intelligence.

  • • Dual-layer verification
  • • Continuous feedback
  • • Export-ready

High Confidence

0%

Based on analysis.

Sample report preview

Proof

Verify.

Review a full report. Sources, confidence markers, decision-ready summaries.

Download sample report

Dual Utility

Built for humans. Structured for machines.

Our confidence-aware research doesn't just help your team make better decisions today—it teaches your AI to make better decisions tomorrow.

A Parallel Intelligence

Analysts & Execs

Use our reports as-is for due diligence, risk assessment, and market intelligence.

Recommendation: PROCEED WITH CAUTIOUS OPTIMISM.
Highly Verified3 Sources

Every report includes both the analysis your team needs and the training data your AI requires.

Scale

Trusted by analysts.

High-volume. Human-caliber rigor.

0+Reports
0Industries
OneStandard

Customer Validation

Industry Professional Validations

See what leaders are saying about our intelligence.

"Highly detailed and accurate intelligence."

Vijender Yadav

CEO, Accops (Jio acquired)

"Precise structuring of complex subsidiary networks."

Piyush Lakhani

Finance Head, The Math Co

"3–5 days of work delivered as an end-product."

CA CS Swanand Dharmadhikari

Finance Controller

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See how KriyagniAI fits your workflow.

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