Case Study

Uncovering Naxal Logistics Through Pattern Intelligence

Investigators used multi-source data correlation to uncover a hidden Naxal logistics network that initially showed no visible links. By connecting patterns across communication, movement, and financial data, they identified coordinated supply routes and enabled proactive disruption before attacks.

Cross-Border Financial Crime Syndicate

How Argus Exposed a Cross-Border Financial Crime Syndicate

Argus helped investigators turn scattered mobile and financial data into a clear picture of a complex cross-border crime network. It uncovered hidden connections, tracked money across banking, crypto, and hawala channels, and revealed the full structure of a multi-layered syndicate.

How RapiDFIR Detected and Neutralized Dindoor

How RapiDFIR Detected and Neutralized Dindoor

Dindoor Malware. State-sponsored. Engineered to be invisible. Here's how RapiDFIR found it, traced it, and neutralized it - remotely, without a single analyst on-site.

The Network Behind the Fraud

From Coercion to Crypto: Reconstructing a Multi-Layered Scam

A hidden fraud network built on coercion, layered transactions, and crypto conversion was fully uncovered. This case study shows how fragmented data was connected to reconstruct the complete money trail and expose the ecosystem behind it.

Red Fort Area Blast 2025 Investigation Part II

Red Fort Area Blast 2025 Investigation Part II

An AI-driven facial recognition investigation helped identify suspects from fragmented visual evidence after the Red Fort blast. This case study shows how Prophecy enabled accurate identity matching, cross-dataset correlation, and faster lead generation for investigators.

Transnational Fraud Network Exposed Through AI-Powered Digital Forensics

Transnational Fraud Network Exposed Through AI-Powered Digital Forensics

A cross-border fraud network, masked by VPNs, aliases, and deleted data, was uncovered through AI-powered forensic analysis. This case study shows how Argus connected fragmented evidence across devices to expose hidden links and reconstruct actionable intelligence.

What began as isolated digital activity soon revealed

Uncovering a Concealed Digital Conspiracy Through Mobile Forensics

What appeared as isolated digital activity was actually a concealed and coordinated conspiracy. This case study shows how ARGUS connected fragmented mobile data to uncover hidden links, reconstruct timelines, and generate actionable intelligence.

Uncovering Coordinated Investment Fraud Through Mobile Forensics

Uncovering Coordinated Investment Fraud Through Mobile Forensics

What appeared as isolated digital activity was uncovered as a coordinated, concealed conspiracy through mobile forensics. This case study shows how ARGUS transformed fragmented and deleted data into a clear timeline, hidden links, and actionable intelligence.

Red Fort 2025 Blast Investigation How Prophecy Enabled Rapid CDR

Red Fort Area Blast 2025 Investigation Part I

An urgent blast investigation at Delhi’s Red Fort was accelerated using AI-powered CDR analysis to uncover hidden communication networks. This case study shows how Prophecy transformed massive telecom data into clear linkages, validated movements, and actionable intelligence.

Enabling Unified Financial Intelligence Across Complex Fraud Ecosystems

Enabling Unified Financial Intelligence Across Complex Fraud Ecosystems

Fragmented financial data across cases masked a larger, coordinated fraud ecosystem operating beneath the surface. This case study shows how unified analysis transformed isolated signals into ecosystem-level intelligence, uncovering hidden exposure and recurring fraud patterns.

Detecting Supply Chain Abuse in Regulated Commodities

Detecting Supply Chain Abuse in Regulated Commodities

A regulated commodity supply chain was exploited to divert subsidised fertiliser into industrial use while appearing fully compliant. This case study shows how tracing and HSN-level analysis exposed hidden diversion, pricing anomalies, and end-use misuse.

Eagle I

Uncovering Circular Transactions Through HSN-Level Analysis

A subsidy-driven commodity supply chain was exploited through compliant records to divert fertiliser into industrial use. This case study shows how tracing and HSN-level analysis exposed hidden diversion, market distortion, and end-use misuse.

Uncovering Coordinated Financial Fraud Across Multiple Compliant Entities

Uncovering Coordinated Financial Fraud Across Multiple Compliant Entities

Individually compliant entities masked a coordinated fraud network operating across time and jurisdictions. This case study shows how network-level analysis exposed hidden patterns, collective intent, and aggregate financial risk.

Undetected Accumulation of Tax Credit in Financial Fraud Networks

Undetected Accumulation of Tax Credit in Financial Fraud Networks

Tax credit accumulated silently over time, remaining compliant while masking growing financial risk. This case study shows how behaviour-led analysis uncovered hidden patterns and enabled early detection before exposure scaled.

Synthetic Firms in Financial Fraud Networks

Synthetic Firms in Financial Fraud Networks

Fraudulent firms were created to transact immediately, not operate, while appearing fully compliant. This case study shows how behaviour-led analysis exposed synthetic entities, coordinated activity, and early-stage financial fraud.

Identity Abuse in Financial Fraud Networks

Identity Abuse in Financial Fraud Networks

Identity abuse silently enabled large-scale financial fraud while remaining compliant at the document level. This case study shows how unified intelligence exposed hidden identity patterns, restored traceability, and enabled early risk detection.

Telegram image

Digital Vigilance: Uncovering Radical Telegram Networks Through OSINT Tool

Uncovered hidden extremist groups on Telegram using Innsight, boosting digital visibility and intelligence through AI-powered OSINT.

Manipur Conflict: From Social Media Propaganda to On-Ground Clashes

Innsight exposed propaganda and coordinated attacks in the Manipur conflict, enabling real-time sentiment analysis and proactive security through OSINT intelligence.

Jammu and Kashmir Elections: Pakistani Propaganda and Anti-India Sentiment Analysis

Innsight exposed intensified anti-India propaganda around J&K elections, revealing 62.3% negative sentiment and tracking cross-border narrative amplification in real time.

Anti-India Propaganda in Gulf Countries

Innsight uncovered Pakistan-backed anti-India propaganda in Gulf nations during the G20, enabling real-time tracking of hostile narratives and safeguarding India's diplomatic image.

Strategic Deployment of Chinese Aircraft Carriers

Innsight tracked Chinese carrier deployments in key maritime zones, revealing strategic patterns, operational roles, and information warfare driving regional power projection.

Verticals

Intelligence Forces & Organizations
Law Enforcement Agencies
Financial Intelligence Organizations
Legal & Justice Departments
Large Enterprises
BFSI

Products

Prophecy Guardian
Prophecy Alethia
Innsight
AI Vision
Argus
Prophecy GPT
Prophecy Eagle I

Products

IRMS
Speech To Text
Advisionary
InteleLinx
RapiDFIR
AuthShield

Company

About Us
Leadership Team
Partners
Contact

Newsroom
Press Release
Careers

Resources

Case Studies
Reports
Blog

Legal

Privacy Policy
Cookie Policy
Statutory Policy

Innefu Labs Limited

(formerly known as Innefu Labs Pvt. Ltd.)

Registered Office Address: A-2/24, Shakti Nagar Extn., New Delhi, Delhi- 110052

Corporate Office Address: 110-111, 1st Floor, PP Trade Center, Netaji Subhash Place, New Delhi-110034

© Copyright 2026. All Rights Reserved @ Innefu Labs Limited