An AI-native platform for
financial operations, control and governance.
Reconciliation, an embedded ledger, compliance and audit — on one governed, multi-tenant platform. Built for finance shared services, internal audit functions and professional services firms across India and the GCC.
Month-end runs on spreadsheets, email and trust.
In most mid-market finance functions, the controls that matter most are the ones held together by hand.
Reconciliation is manual and late
Bank, intercompany, AP/AR and control-account reconciliations are worked in spreadsheets, keyed line by line, and finished days after the period they describe. Breaks are found late, and the same breaks recur every month.
Controls leave no evidence trail
Approvals happen in inboxes and chat. When an internal auditor asks who reviewed a journal, or why a control was overridden, the answer has to be reconstructed from memory and forwarded threads.
Audit evidence is a scramble
Every review cycle re-opens the same hunt for support — the PBC list, the sample selections, the tie-outs. Evidence lives across drives and mailboxes rather than beside the transactions it supports.
Finance data is fragmented
The ERP, the bank portals, the sub-ledgers and a dozen spreadsheets each hold part of the truth. No single governed record ties a transaction from source, through reconciliation, to the ledger and the audit file.
Ainlytx addresses this as one connected pipeline — so a transaction is reconciled, posted, controlled and evidenced in the same governed system, not four disconnected ones.
One governed path from transaction to forward view.
Three modules move a transaction through reconciliation, the ledger and controls. Foresight turns that reconciled history into a forward-looking view. All of it runs on one governed data foundation, Vault.
Command Center Live
Transactions come in and are reconciled and transformed — bank, intercompany, AP/AR and control accounts matched, breaks surfaced, clean data prepared.
transactions in → reconciledMosaic Live
Reconciled activity is posted to the embedded accounting ledger — multi-entity, multi-currency, with a full audit trail.
reconciled → posted to ledgerGovernIQ Live
Controls run against the posted ledger — exceptions triaged, approvals captured, and audit evidence generated and held beside the transactions it supports.
posted → controls & evidenceForesight Available · UAE
Foresight reads the client’s own reconciled ledger data and computes forward-looking views — cash outlook, scenarios, the annual plan and DSCR — under assumptions the user sets.
controlled history → forward viewVault Live
Every stage reads and writes the same governed data foundation. Reconciled outputs, ledger data and evidence are stored in open tables that BI tools can query.
The AI does the parts a reviewer can’t do by hand.
Concrete mechanisms on financial data — not a chat box bolted to the side of a ledger.
Anomaly detection in reconciliation
Statistical outlier tests, Benford’s-law deviation, duplicate and round-number detection, and weekend/backdated flags run across matched and unmatched items — so unusual entries surface without a human reading every line.
Exception triage
Unmatched and flagged items are grouped and ranked by likely cause and materiality, so a reviewer works the exceptions that matter first instead of an undifferentiated list of breaks.
Control & journal-entry testing
Journal-entry tests — round-trip detection, debit-equals-credit reversals, backdated and holiday postings, ghost-employee and duplicate-payment checks — run continuously against the ledger, the same tests an audit team would run at year-end.
Every one of these runs on the client’s own reconciled data, and every result is explainable to the reviewer who has to sign it off. On the UAE platform, AI is off by default and is switched on only if you opt in.
Built to pass a technical review.
The specifics a reviewer asks for, stated plainly.
Open-format lakehouse
Governed outputs land in Apache Iceberg tables. Access is granted per user, per table. BI and analytics tools connect over standard interfaces — no proprietary driver, no lock-in.
SSO & identity
Authenticator app for administrators; single sign-on available on request in a pilot. Short-lived tokens, optional email one-time-passcode second factor, no shared service accounts.
Integrations
Works with Google Workspace and Microsoft Graph, plus a REST API. NetSuite, SAP and Microsoft Dynamics: file import today; connectors on request. Zoho Books and Tally: available in India; UAE planned. Webhooks on request. Bring source data in and push governed outputs to the systems your team already uses.
Where the data sits, and who can reach it.
A precise statement of the current model, with anything not yet in place marked as roadmap.
Access control
Authenticator app for administrators; single sign-on available on request in a pilot. Short-lived tokens, optional email OTP second factor, and lakehouse access granted per user per table with one-click rotate and revoke.
Audit logging
Grants, logins, file actions, approvals and data-API calls are logged with user identity and timestamp, and retained for the configured retention period.
Encryption
Data is encrypted at rest with the cloud provider’s managed keys (Google Cloud in India, Microsoft Azure in the UAE) and in transit with TLS. File uploads go directly to object storage over short-lived signed URLs.
Data residency
- Model
- Where a tenant’s data is held depends on the platform it is set up on: India or UAE.
- Region in use today
- India tenant data is held in Google Cloud’s Mumbai region (asia-south1). UAE customer data is stored in Microsoft Azure, UAE North region, on systems separate from our India platform.
- India
- In-country: data is held in the Mumbai region (asia-south1).
- UAE
- UAE customer data is stored in Microsoft Azure, UAE North region, on systems separate from our India platform.
- Other regions
- On the roadmap — tenant-selectable regions for the EU and the US, so residency can follow the tenant into those jurisdictions. Not yet available.
Built by someone who has done the reconciliation, the ledger and the audit.
Founder & Chief Executive
Ramanpreet Kaur Bhatia
Chartered Accountant (India) · CPA Australia
- Qualified Chartered Accountant (India).
- Member, CPA Australia.
- Hands-on background in reconciliation, financial reporting and audit — the workflows the platform automates.
Reconciliation, ledger and audit tooling is unforgiving to design if you have not done the work. The controls have to match how a real close runs, the evidence has to be what a real reviewer accepts, and the exceptions have to be ranked the way an experienced preparer would rank them.
Ainlytx is built by a qualified Chartered Accountant (India) and member of CPA Australia — someone who has sat on both sides of the review, preparing the numbers and testing them. That founder-market fit is the reason the pipeline is shaped around controls and evidence rather than dashboards, and it is the company’s strongest non-financial credential.
The same identity, access and data layer, extended to adjacent workflows.
Beyond the control pipeline, Ainlytx runs the operational workflows around a finance or professional-services team — on the same access model and governed data plane.
Adjacent workflows for gym operations, India–GCC trade and CRM live on the platform extensions page.
Registered at the DIFC, building across three hubs.
DIFC hub — Dubai
Registered in the Dubai International Financial Centre under a DIFC Innovation Licence. This is an innovation-scheme registration — not a DFSA financial-services authorisation.
GovOps centre — Delhi
Engineering and technical operations run from Delhi, India — where the platform is built and where product and data engineering sit.
UK hub — planned 2026
A UK hub, Ainlytx Tech Solutions UK Ltd, is planned for 2026 to support customers in the UK and Europe.
Start on your own data.
Self-serve signup and a 14-day free trial, with published pricing in INR, USD, GBP and AED. Bring a real reconciliation or a month-end close and run it on the platform.