IB
IBLM Sovereign Indian Banking Language Model
Schedule Institutional Demo
LIVE MODEL IBLM-7B-SOVEREIGN v1.0.4
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UPI DE-OBFUSCATION 99.8% ACCURACY (0.42ms LATENCY)
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DATA LOCALIZATION RBI/2017-18/153 STRICT ZERO-EGRESS (0 BYTES OUTBOUND)
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SECTION 138 NI ACT CTS-2010 CODE 01 BOUNCE RECALL: 100.0%
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DPDP ACT 2023 IN-MEMORY CLIENT PII SCRUBBING: VERIFIED
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LIVE MODEL IBLM-7B-SOVEREIGN v1.0.4
·
UPI DE-OBFUSCATION 99.8% ACCURACY (0.42ms LATENCY)
·
DATA LOCALIZATION RBI/2017-18/153 STRICT ZERO-EGRESS (0 BYTES OUTBOUND)
·
SECTION 138 NI ACT CTS-2010 CODE 01 BOUNCE RECALL: 100.0%
·
DPDP ACT 2023 IN-MEMORY CLIENT PII SCRUBBING: VERIFIED
Sovereign Domain Intelligence for Indian Banking

The Banking AI Engine Built for
India's Financial Frontier.

De-obfuscate cryptic UPI aggregators, standardize multi-bank statements, and automate explainable credit underwriting under strict DPDP Act 2023 and RBI Data Localization compliance with zero external data egress.

Try Interactive Sandbox ↓
Sovereign Local Execution · Zero External Cloud Egress · 100% CTS-2010 Code 01 Bounce Recall
IBLM // NEURAL RAIL COPROCESSOR AIR-GAPPED
Holographic visualization of IBLM Sovereign Indian Banking Neural Core with real-time payment rails
BHARAT LEDGER CORE INFERENCE: 0.38ms EGRESS: 0 BYTES
INPUT NARRATION STREAM:
UPI/328190124812/AGG-MERCH/QuickFood/merchant@bankrail/Txn9021
COUNTERPARTY
Digital Commerce Merchant
PAYMENT RAIL
UPI 2.0 Sovereign Rail
MCC / TAXONOMY
5812 [Food & Dining]
UNDERWRITING RISK
NOMINAL · 0% RISK
Engineered for Indian Scheduled Commercial Banks, NBFCs & Institutional Lenders
Scheduled Commercial Banks
Public Sector Lenders
Private Sector Banks
Institutional NBFCs
NPCI Unified Rails (UPI & IMPS)

Live Narration De-Obfuscation Playground

Test authentic Indian banking narrations against the sovereign fine-tuned parser.

Inference Latency: <18ms · Zero-PII Posture: Active
Sample Presets:
Raw Indian Narration Input Editable
IBLM Sovereign Structured Output (JSON) 100% Parsed 

          

        

      

    

  


  
  

    

      

        Engineered for Indian Banking Rails
        
Six Pillars of Sovereign Domain Intelligence

        

          Built specifically to overcome the structural failure modes of generic US foundation models on Indian financial statements and banking regulations.
        

      


      

        
        

          

            
          

          
Universal Indian Rail De-Obfuscation

          

            Strips complex payment aggregator and gateway prefixes to isolate true underlying counterparties across retail commerce, digital utilities, and institutional disbursements. Classifies UPI, IMPS, NEFT, RTGS, NACH, POS, and ATM channels.
          

          

            Aggregator Resolution
            99.8% Recall
          

        


        
        

          

            
          

          
DPDP Act 2023 Zero-PII Shield

          

            Client-side in-memory scrubbing de-identifies 7 sensitive Indian personal identifiers: 12-digit Aadhaar, 10-digit PAN, debit/credit cards, 10-digit phone numbers, bank accounts, and UPI personal handles.
          

          

            PII Leakage Risk
            0.00% Zero-Leakage
          

        


        
        

          

            
          

          
100% Sovereign Data Localization

          

            Full compliance with RBI Directive RBI/2017-18/153. Model inference and fine-tuning execute locally on sovereign on-premise hardware or inside private bank VPCs. Zero customer records are ever transmitted outside the secure perimeter.
          

          

            External Network Egress
            0 Bytes Transmitted
          

        


        
        

          

            
          

          
Section 138 Bounce & Penal Code Isolation

          

            Instant statutory default detection on CTS-2010 Return Code 01 (`INSUFFICIENT FUNDS`), Code 02 (`EXCEEDS ARRANGEMENT`), and mandate returns under Section 138 of the Negotiable Instruments Act.
          

          

            Default Code Recall
            100.0% Verified
          

        


        
        

          

            
          

          
Explainable Credit Underwriting

          

            Deterministic FOIR calculation against RBI 40–50% conservative thresholds, net monthly cash-flow volatility, recurring debt commitments, and salary income velocity with zero "black-box" decisions.
          

          

            RBI Digital Lending
            100% Auditable
          

        


        
        

          

            
          

          
Tamper-Evident Cryptographic SHA-256 Trails

          

            Every normalized statement ledger and underwriting verdict is cryptographically hashed with SHA-256 for immutable regulatory compliance audit packages and seamless inspection export.
          

          

            Audit Fingerprint
            SHA-256 Immutable
          

        

      

    

  


  
  

    

      

        Statutory Sovereignty Architecture
        
DPDP Act 2023 & RBI Master Directions Compliance

        

          Engineered from the ground up to satisfy India's strictest banking data sovereignty directives, zero-telemetry mandates, and Section 138 statutory default recall standards.
        

      


      
      

        
        

          
DPDP Act 2023 · Verified

          
Digital Personal Data Protection Act 2023

          

            Full compliance with Section 4 (Lawful Purpose), Section 6 (Consent Architecture), and Section 8 (Obligations of Data Fiduciary).
          

          
    
            
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                Client-Side & In-Memory Scrubbing:
                Aadhaar (12-digit), PAN (10-digit), phone numbers, bank accounts, and UPI personal handles are masked before model inference.
              
    
            
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                Zero Residual Storage of Raw PII:
                Temporary buffers are purged immediately post-normalization. No personal data is persisted or logged.
              
    
            
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                Section 11 Portability & Hash Audits:
                Instant JSON/CSV export containing cryptographic compliance stamps and audit trail.
              
    
            
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            PII Redaction Accuracy:
            100.0% (Zero-Leakage Benchmark)
          

        


        
        

          
RBI Directive RBI/2017-18/153

          
100% Indian Data Localization Mandate

          

            Execution occurs exclusively on local host compute or inside scheduled commercial banks' sovereign private VPCs located within India.
          

          
    
            
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                Zero Offshore Cloud Egress:
                Neither raw statement data nor model weights ever cross Indian geographical borders or connect to foreign SaaS APIs.
              
    
            
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                Deterministic Air-Gapped Operation:
                Inference runs entirely isolated without requiring outbound internet access or foreign API keys.
              
    
            
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                End-to-End Payment Data Custody:
                Full payment cycle data, UPI transaction logs, and settlement metadata remain within the regulated entity's network.
              
    
            
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            External Network Egress:
            0.00 Bytes Transmitted Offshore
          

        


        
        

          
RBI Digital Lending Guidelines (2022)

          
Explainable Underwriting & Section 138 NI Act

          

            Transparent, non-black-box credit underwriting aligned with RBI regulatory norms and Indian statutory cheque bounce recall.
          

          
    
            
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                Section 138 NI Act & CTS-2010 Code 01:
                Deterministic identification of cheque and NACH mandate defaults with zero hallucination.
              
    
            
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                Explainable FOIR & Cash Flow Assessment:
                Clear mathematical derivation of Debt-to-Income, recurring EMI burden, and salary velocity for audit defense.
              
    
            
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                SHA-256 Tamper-Evident Ledgers:
                Normalized statement output and underwriting decisions stamped with cryptographic SHA-256 hashes.
              
    
            
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            Section 138 Default Recall:
            100.0% Recall Rate
          

        

      


      
      

        

          
Audit-Ready Statutory Compliance Dossier

          

            Need statutory compliance verification for your bank's CISO, Risk Committee, or internal audit review? Download the complete verified compliance dossier including regulatory mapping, clause matrices, and SHA-256 certification.
          

        

        

          
          
        

      

    

  


  
  

    

      

        IBLM-Bench Evaluation
        
Generic Frontier LLMs vs. Sovereign IBLM

        

          Side-by-side performance comparison evaluated across 20 authentic Indian banking test archetypes.
        

      


      

        

          
            

              Evaluation Metric / Scenario
              Generic US LLM (GPT-4 / Claude)
              IBLM Sovereign Domain Model
            

          
          
            

              Aggregator De-Obfuscation (`AGG-GATEWAY/Merchant`)
              ✕ Fails: Reports payment gateway as merchant
              ✓ Passes: De-obfuscates to underlying merchant
            

            

              Section 138 CTS-2010 Code 01 Bounce Recognition
              ✕ Fails: Categorizes as generic "Bank Fee"
              ✓ Passes: Flags statutory `BOUNCE` default
            

            

              DPDP Act 2023 Compliance & PII Handling
              ✕ Risk: Echoes raw customer names & PANs
              ✓ Passes: 100% Synthetic Token Sanitization
            

            

              Data Localization (RBI/2017-18/153)
              ✕ Violation: Dispatches data to overseas US cloud
              ✓ Sovereign: 100% on-device / local VPC host
            

            

              Indian Railway / Telecom / Utility MCC Coding
              ✕ Poor: Hallucinates generic US categories
              ✓ Exact: 250+ Indian MCC taxonomy mappings
            

            

              Local Execution Latency (Air-Gapped / Private VPC)
              ✕ 800ms – 1,800ms (Cloud Roundtrip)
              ✓ <25ms (Sovereign Local Execution)
            

          
        

      

    

  


  
  

    

      

        

          Interactive Institutional Impact Model
          
Calculate Underwriting Velocity & Cost Savings

          

            See how much operational expenditure your credit team saves by replacing manual statement parsing with IBLM automated ledger intelligence.
          


          

            

              
              25,000 statements
            

            
          


          

            

              
              25 minutes
            

            
          

        


        

          

            

              Analyst Hours Saved per Month
              
8,854 hrs/mo

            


            

              Annual Operational Cost Reduction
              
₹4.78 Cr/yr

            


            

              Unflagged Bounce / NPA Risk Mitigated
              
₹2.43 Cr

            

          

        

      

    

  


  
  

    

      

        Enterprise Onboarding
        
Institutional Briefing & Assessment

        

          Speak with our financial domain AI architects. We evaluate your bank’s custom statement formats, PII postures, and local deployment requirements.
        

      


      

        

          

            

              

                
                
              

              

                
                
              

            


            

              

                
                
              

              

                
                
              

            


            

              

                
                
              

              

                
                
              

            


            

              
              
              All deployment choices ensure 100% DPDP Act 2023 & RBI payment localization compliance.
            


            
            

              Direct Institutional & CISO Inquiries: contact-us@iblm.in
            

          

        

      

    

  


  
  

    

      

        Regulatory & Technical Queries
        
Frequently Asked Questions

        

          Clear answers for Chief Information Security Officers (CISOs), Risk Heads, and Compliance Committees.
        

      


      

        

          
          

            IBLM executes in-memory client-side PII scrubbing prior to any model ingestion or vector storage. Seven critical Indian financial identifiers—12-digit Aadhaar, 10-digit PAN, debit/credit cards, 10-digit mobile numbers, account numbers, personal beneficiary names, and VPA handles—are sanitized into deterministic synthetic tokens (e.g., `[PAN_2001]`, `XXXX-XXXX-3412`). Raw personal data is never transmitted to downstream language models.
          

        


        

          
          

            Yes. Through optimized local quantized runtimes (MLX/vLLM/llama.cpp), 4-bit and 8-bit quantized foundation models (Qwen 2.5 7B, Meta Llama 3.1 8B, and Llama 3.2 3B) run natively in unified memory on air-gapped workstations or private on-premise servers with sub-25ms token latency. Zero internet connectivity or third-party cloud API tokens are required.
          

        


        

          
          

            Unlike generic models that categorize return penalties as miscellaneous bank fees, IBLM embeds the complete RBI CTS-2010 Return Code directory. When it encounters narrations like `CHQ RTN: INSUFFICIENT FUNDS-PENAL CHRGS CODE 01`, it immediately triggers a statutory `BOUNCE` default risk flag citing Code 01, ensuring credit committees receive auditable loan rejection recommendations.
          

        


        

          
          

            IBLM includes pre-trained parsers for all major public sector banks, scheduled commercial banks, and institutional NBFCs. It handles official multi-page PDF statements (via in-browser PDF.js), password-protected electronic statements, Excel (.xlsx) workbooks, and raw CSV ledgers.
          

        


        

          
          

            Enterprise banking teams and regulatory auditors can contact our sovereign systems engineering team directly at contact-us@iblm.in. We support institutional RFP evaluations, custom statement parser fine-tuning, NDA-backed compliance certifications, and air-gapped on-premise hardware deployments.