Why trust a platform with your books?

Financial data is the most sensitive thing a business owns. FinLytTech was built from the finance desk, shaped with the Chartered Accountants who read these books every day, and hosted in India by default.

India-hosted by default
Encrypted at rest and in transit, in the India region.
DPDP-native
Single-tenant per company, with explicit consent for every AI generation.
Never a training set
Our AI provider is contractually barred from training on your data.
Every figure traced
Each number on screen leads back to a posted voucher.

Where does each option run out?

Every option in this market does something well. This is where each one stops when the question is "what do we do about cash this week?"

SpreadsheetsTally or Zoho aloneLarge ERP implementation
Where did the cash go?Rebuilt by hand each monthRecorded, read by exportingAnswered, after go-live
Looks forwardManual modelNoUsually an add-on module
Getting startedAlready openAlready runningA multi-month project
Says what to do nextWhoever built the sheetNoWith a custom BI build
FinLytTech reads the books you already keep · cash projected forward · action items on each move · every figure traced to a voucher

What will we not trade away?

These are architecture decisions, which is why they are hard to reverse later and why we made them first.

The platform computes the figure

The model writes the sentence and the platform computes the number. Any sentence carrying a figure absent from the computed data is discarded before a user sees it.

Your data never trains a model

Where AI generates commentary, the provider is contractually barred from training on the content. Every generation needs your explicit consent.

Read-only until you say otherwise

Every connector starts read-only: a small TDL file inside Tally, standard APIs for Zoho and ERPNext, a generic REST adapter for anything else. Nothing writes back into your books unless you opt in.

One tenant, one company

Separate tenancy per company, hosted in India and built to the DPDP Act from the first table, which is the version of this claim that survives a security review.

Who built it, and who shaped it?

Practitioner-grade domain knowledge

Designed and built across the full stack by a Senior Finance Professional with fifteen-plus years in capital markets, M&A, private equity and FP&A. The eight analysis types are the questions a finance lead asks of a ledger, scored against industry benchmark bands.

Designed alongside the CAs who use it daily

Chartered Accountants read these books for a living. Their judgement shaped what the platform flags and how it explains itself, and CA firms take seats inside the firm to serve their own clients with it.

One substrate, nothing to migrate

The Solutions are a query. The Enterprise ERP is the same query against a database you control, and a Enterprise Intelligence is that database shaped to your industry. Moving between them carries no migration, because there is nothing to migrate.

Why not judge it on your own books?