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ISHA AI Product Suite · AI Classification Engine

ISHA AI ACE

Advanced AI/ML Ecosystem for Regulatory Compliance

ISHA AI ACE is a high-performance, on-premise AI ecosystem engineered to automate the classification and forensic auditing of national SMS and email traffic. Built for Regulatory Authorities, it bridges the gap between raw telecom data and enforcement — combining state-of-the-art machine learning with a deterministic regulatory rules engine for explainable, forensic-grade decisions at scale.

On-Premise · Air-GappedCPU-Optimised · No GPU🇮🇳 Make in India · Class-I
ISHA AI ACE Dashboard
20,000+
Daily Complaints Processed
99.5%
Uptime SLA Guaranteed
~11.5ms
Per Message (Primary)
~1ms
Per Message (Lightweight)
14+
AI Architectures Evaluated
CPU-Only
No GPU Required
Capabilities

Core Engine Features

A tiered architecture designed for maximum classification accuracy, regulatory transparency, and zero operational compromise.

Hybrid Semantic Intelligence

AI Core

Deep semantic embeddings fused with keyword vectorization and 20 handcrafted structural features — OTP patterns, link entropy, digit ratios — for intent recognition far beyond simple keywords.

Confidence-Gated Auditing

Quality Control

Calibrated 0.85 confidence threshold. Predictions below threshold are auto-flagged as "Ambiguous" and routed for priority manual review — preventing automated errors at regulatory scale.

Regulatory Rules Engine

Compliance

Deterministic JSON-configurable logic layer implementing a strict one-way escalation valve — can promote risk levels from Service to Promotional, never downgrade. Fully auditable.

Model Registry

Flexibility

14+ tested architectures evaluated. Switch between the Primary model (~11.5ms) for high-accuracy batch work, or the Lightweight mode (~1ms) for ultra-low latency inference on standard hardware.

RBAC & Data Sovereignty

Security

Role-Based Access Control with immutable audit trail. Fully air-gapped, on-premise deployment with zero external data transmission — designed for national security and data protection compliance.

Automated Batch Processing

Automation

Cron-triggered daily classification jobs process 20,000+ incoming complaints automatically. Auto-generated forensic reports are ready each morning for regulatory review — no manual intervention.

System Architecture

5-Phase Classification Pipeline

A deterministic, tiered architecture ensuring every classification decision is explainable, auditable, and regulation-compliant.

PHASE 01
Ingestion
Multi-channel data input via Unified API Gateway into async message queue. Handles SMS, email, and text batches.
PHASE 02
Pre-Processing
Text normalization, noise removal, tokenization, and vectorization to prepare data for classification.
PHASE 03
AI Core
14-model ensemble engine (tree-based & deep learning) feeding into a voting classifier for result aggregation.
PHASE 04
Output & Routing
Final category assessment fans out to quarantine, record management, or enterprise module routing.
PHASE 05
Continuous Improvement
Immutable audit trail logging, real-time analytics dashboard, and retraining loop for model improvement.
Full pipeline architecture diagram
ISHA AI ACE 5-Phase Classification Pipeline Diagram
Under the Hood

Technical Stack

AI Models

Default · Production
Hybrid Primary~11.5ms/msg
Deep semantic embeddings fused with keyword precision vectorization and 20 structural features — OTP patterns, link entropy, digit ratios
Lightweight~1ms/msg
Optimised keyword vectorization for ultra-low latency inference on standard server hardware — no GPU needed
📊 Training capacity: up to 5 lakh records · One-click redeployment

Deployment & Licensing

Deployment ModeOn-Premise / Air-Gapped
OS SupportWeb-Agnostic (Windows, Linux, macOS)
ArchitectureProprietary AI Ensemble Engine
IntegrationUnified API Gateway
License TypeAnnual License + Maintenance
GST18% (Standard for Software Services)
Make in IndiaClass-I Local Supplier (>50% local content)
GeM CategoryAI Big Data & Analytics
Model / Product IDISHA AI ACE ENT 01
Infrastructure

Hardware Requirements

Designed to handle 20,000+ daily complaints and training on 5 lakh records entirely on-premise — no cloud dependency, no GPU required.

Component
Specification
Notes
Processor
32-Core+ AMD EPYC
High-density parallel processing
Memory
32 GB+ DDR5 ECC
Optimized for large-scale embeddings
Storage
2 TB+ NVMe Gen5
Historical logs & model checkpoints
Deployment
Air-Gapped / On-Premise
No cloud dependency required

* Hardware to be provided by the client. API endpoints for existing database integration to be provided by the client.

Service Commitment

SLA & Support

99.5%
Guaranteed Uptime SLA
1 Yr
Standard Support Included
Annual License
Renewable yearly subscription
Annual Maintenance
Separate maintenance contract
Business Hours
Email Support Channel
ISHA AI ACE · AI Classification Engine

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