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Revenue leakage is the silent line item

Stop the money leaking
out of your reconciliation

Every month, Indian businesses lose 2–3% of platform revenue to fee errors, lakhs in unrecovered TDS credits, and ITC that lapses unclaimed — quietly, inside numbers that look reconciled. TransactIG finds it, classifies it, and tracks it to recovery — built natively for TDS, GST, NACH, and platform settlements.

51% → 88%
Automated match rate, before → after
₹28L/yr
Recoverable — worked example
24+
Industry presets
ISO 27001
Certified · AWS Mumbai
TransactIG reconciliation dashboard showing Discovered Money analysis across 5 streams with category classification — stuck, compliance, at-risk, recoverable — and per-stream drill-down for Indian enterprise finance
Discovered Money — every unmatched rupee found, classified, and tracked to recovery

Built for Indian reconciliation complexity

Generic tools fail because they ignore the structural complexity of Indian finance: layered tax deductions, multi-party platform settlements, and high-volume batch credits. Each layer is a place where money leaks.

Tax Layer

TDS & Statutory Deductions

Every vendor payment arrives net of TDS. Section 194C, 194J, 194H, 194I — each with different thresholds and rates. Matching net receipts to gross invoices requires embedded tax intelligence, not manual adjustment. Every unmatched deduction is a Form 26AS credit at risk of lapsing.

Settlement Layer

Platform Settlement Lag

OTAs, aggregators, and marketplace platforms (Amazon, Zomato, MakeMyTrip) disburse settlements 3–30 days after the transaction, aggregated across multiple orders, with commission and TDS pre-deducted. Single-row matching fails entirely — and every unverified deduction inside the payout is potential fee leakage.

Batch Layer

NACH & Batch Aggregation

Payroll NACH, loan EMI collections, and institutional payments arrive as a single bank credit covering hundreds of individual records. Matching a ₹1.2 Cr credit to 480 employee accounts requires batch disaggregation logic. Every unmatched return is an EMI collected but never booked.

TransactIG customer intelligence grid showing 10 brand accounts with credit tier ribbons, reconciliation status indicators, and behaviour classification
Customer Intelligence Grid — Account Health at a Glance

Configured for 24 industries

Each industry preset encodes the transaction types, variance tolerances, and matching rules specific to that vertical. No custom development for standard use cases.

Enterprise security and compliance

Built for organisations where financial data handling is a regulatory obligation, not just a preference.

ISO 27001:2022
Certified information security management
India Data Hosting
AWS Mumbai region — data residency compliant
Encryption at Rest
AES-256 encryption. No raw data retention post-run
Tenant Isolation
Strict multi-tenant separation. No cross-client data access
Audit Trails
Every match decision logged and queryable. Regulator-ready
Patent Filed
Proprietary variance taxonomy and multi-pass matching

Built by practitioners

TransactIG was built by people who have run reconciliation operations at scale across Indian enterprises — not by generalist software engineers.

NK
Navin Krishnan
MD & CEO, Terra Insight Pvt. Ltd.

20+ years in financial operations, enterprise ERP, and transaction processing across Indian industries. Founded Terra Insight in April 2024 to solve structural reconciliation debt at the infrastructure layer.

View leadership →
Founded April 2024
Incorporated Terra Insight Pvt. Ltd.
Headquarters Bengaluru, Karnataka
Certification ISO 27001:2022

Ready to see how much you're leaking?

Tell us your industry, ERP, and monthly transaction volume. We will show you, on your own workflow, exactly where the money is going — before the first call.