Enterprise Data Intelligence Platform

Turning Data Into
Decision-Grade Intelligence

Authify builds secure, on-premise intelligence systems that transform raw data streams into actionable insight. Our platforms process communications metadata, sensor feeds, and digital transactions to help institutions act faster, safer, and smarter.

On-Premise Deployment
Metadata Analysis
Entity Resolution
Anomaly Detection
Explainable Analytics
Decision APIs

The data exists. The intelligence doesn't.

Every large institution today collects massive amounts of digital exhaust — call logs, e-mails, IP traffic, location records, public-safety feeds, operational data, and more. The challenge is not access to data, but correlation and context.

Most systems remain siloed, incompatible, and too sensitive to move off-prem.

Authify solves this by delivering a secure intelligence layer that lives inside the client's infrastructure. No data leaves your environment; yet every byte becomes searchable, linkable, and analyzable in near-real time.

On-Premise Intelligence Solution

The Authify Intelligence Stack

A modular, on-premise software suite built for organizations that manage sensitive, high-volume data.

Full-Stack Intelligence Architecture

Data Ingestion & Unification

High-velocity data pipelines for structured and unstructured sources

  • Connects to structured databases, file dumps, streaming sources, and network taps
  • Supports batch and real-time ingestion using Kafka-based pipelines
  • Normalizes diverse formats (CSV, PCAP, syslog, JSON, relational tables)
  • Handles petabyte-scale workloads with horizontal scaling

Metadata & Correlation Engine

Entity resolution across disparate systems and data sources

  • Extracts key fields from communication and network data (timestamps, addresses, identifiers)
  • Performs entity resolution to identify relationships across disparate systems
  • Uses deterministic and probabilistic matching for robust linkage detection
  • Provides a graph interface for advanced querying and temporal exploration

Anomaly & Pattern Detection

ML-powered outlier detection with explainable results

  • Machine-learning modules flag outliers in behavior, frequency, or connection strength
  • Statistical models run locally — no cloud inference or external calls
  • Operators can define custom rules and thresholds per dataset or domain

Fusion & Visualization Layer

Multi-modal data synthesis with real-time dashboards

  • Combines multiple data modalities into a unified operational view
  • Timeline, graph, and geospatial visualization dashboards built with WebGL and D3-based rendering
  • Supports multi-user collaboration with fine-grained access control

Security & Governance

Enterprise-grade security with full audit trails

  • Fully on-prem deployment: air-gapped or restricted-network options
  • AES-256 encryption at rest, TLS in transit, RBAC with audit trails
  • Modular microservice architecture for controlled upgrades
  • Compliant with Indian government procurement and data-residency guidelines

Audit & Insight Layer

Complete operational transparency and compliance tracking

  • Tracks operational lineage for every dataset, transformation, and query
  • Enables transparent review of intelligence workflows
  • Built-in logging and replay mechanisms for compliance validation
  • Customizable reports for oversight and decision traceability
Integrated System
API-First Architecture
Real-Time Processing

How It Works

A streamlined intelligence pipeline from raw data to actionable insight

01

Ingest

Bring data from logs, sensors, or transactional systems

02

Normalize

Clean and standardize formats while preserving provenance

03

Correlate

Resolve entities, link related records, and construct dynamic knowledge graphs

04

Detect

Apply anomaly detection or rule-based analytics for early signals

05

Visualize

Present interactive dashboards for operators and decision-makers

06

Act

Export findings through APIs or workflow integrations

Deployment Options:
On-PremisePrivate CloudHybrid EdgeAir-Gapped
Real-Time Data Pipeline

Data Flow Architecture

Watch how data flows through our intelligence platform in real-time, from ingestion to actionable insights

AUTHIFY

Data Sources

Logs, APIs, Sensors

Intelligence Layer

Processing & Analysis

Outputs

Insights & Actions

Petabyte-Scale
Data Processing
< 100ms
Latency
99.9%
Uptime

Key Use Cases

Domain-specific applications powering mission-critical operations across sectors

Operational Intelligence

Connect previously disconnected datasets to derive situational awareness.

Real-time threat correlation
Cross-system pattern recognition
Behavioral analytics at scale

Transport & Mobility

Integrate sensor data and enforcement systems for safer, more efficient roads.

Traffic flow optimization
Automated violation detection
Predictive maintenance

Governance & Compliance

Track digital activity, detect anomalies, and ensure procedural transparency.

Regulatory compliance monitoring
Audit trail automation
Risk assessment frameworks

Critical Infrastructure Monitoring

Fuse telemetry, logs, and alerts to identify potential failures or risks early.

Predictive failure analysis
Multi-source data fusion
Emergency response coordination

Enterprise Risk Analysis

Correlate internal and external data streams to anticipate emerging threats or inefficiencies.

Threat intelligence aggregation
Supply chain risk monitoring
Financial anomaly detection

Strategic Decision Support

Synthesize large-scale data, metrics, and contextual insights to guide policy, resource allocation, and mission planning.

Data-driven policy making
Resource optimization models
Scenario planning tools

Technology Deep-Dive

Designed for scale, security, and sovereignty

Authify's core is a distributed microservice architecture written in Go and Python, orchestrated via Kubernetes for isolated, manageable deployments.

Core Components

Aegis Engine

Scalable pipeline for structured/unstructured data

Go, Kafka, PostgreSQL

LinkGraph Engine

High-performance graph store for entity correlation and traversal queries

Neo4j, GraphQL

Insight Engine

ML-based anomaly and trend detection with explainable outputs

Python, TensorFlow, scikit-learn

Cartographer UI

Real-time graph and map interfaces for visualization

React, D3.js, WebGL

Control Layer

Centralized user management, access control, and audit

RBAC, OAuth 2.0, SAML

Sentinel Framework

Continuous monitoring and health diagnostics for pipelines, clusters, and data integrity

Prometheus, Grafana

Why On-Premise

Complete control, maximum security, zero cloud dependencies

Many data-driven organizations cannot send data to the cloud due to sensitivity or regulation. Authify's architecture runs fully inside the client's network, giving complete control of data and compute.

Data Sovereignty

All processing and storage within client infrastructure

  • No external data transfer
  • Full control over assets
  • Regulatory compliance

Maximum Security

No internet dependency; supports air-gapped installs

  • Air-gap compatible
  • Zero cloud dependencies
  • Isolated networks

Deep Customization

Adapt analytics modules to domain-specific workflows

  • Custom pipelines
  • Flexible integrations
  • Tailored analytics

Procurement Ready

Easy fit for tender-based deployments

  • Complete documentation
  • SLA support
  • Compliance certifications

On-Premise vs. Cloud: The Right Choice for Sensitive Data

Infrastructure Control

Deploy on your own hardware with full administrative access

Data Privacy

No third-party access, complete audit trails, zero data egress

Performance

Low-latency processing with direct access to local data sources