A tokenisation vault that small Indian software makers plug into their apps
TL;DR Standinkey is an API that swaps sensitive fields such as PAN, phone and bank account numbers for tokens, keeps the originals encrypted in an India-hosted vault and logs every time someone looks at them. Small software makers selling payroll, clinic or school software pay per record. It might work because they carry their clients' data risk with little security staff.
Plenty of small Indian software firms sell payroll, clinic, school and lending tools to SMEs. Each one holds its clients' customer and employee data in ordinary database columns.
Under the DPDP Act, the client stays responsible for that data even while a vendor processes it[1], and failing to keep reasonable safeguards can cost up to ₹250 crore[2]. The Rules name encryption, access controls and log retention as baseline measures and require a breach report to the Board within 72 hours[3].
So who builds all that? A 15-person software company rarely has a security engineer who can do field-level encryption and key management properly.
What it does, in regulatory terms: a security tool that helps software vendors and their clients meet DPDP safeguard duties. It does not certify compliance, and Aadhaar numbers carry separate UIDAI storage rules the vendor must check directly.
A developer adds Standinkey to their app with an SDK. When a form saves a PAN or phone number, the SDK sends it to the vault and stores only a token in the app's database. Searches and matching still work through the API. Reveals need a role and a reason, and every one gets logged. If the app's database leaks then the thief gets tokens and not identities. Clients get a dashboard showing who viewed what, which helps them answer breach and audit questions.
The seed proposed a menu of privacy technologies for SMEs. Small businesses won't adopt those one by one, so I moved the buyer one step up - the software vendors who already hold SME data and can add one control for all their clients at once.
Software vendors pay and fold the cost into their own subscription. The end clients, the SMEs, benefit without touching anything. My assumption is pricing per protected record per month with a floor fee, since I found no public Indian price for this. Data-vault and masking vendors sell to larger firms and don't publish small-vendor prices on the pages I checked[4][5].
The DPDP Rules were notified on 13 November 2025 and safeguard duties apply from 12 May 2027[6]. Expect larger clients to send DPDP questionnaires to their software vendors well before that date. A vendor that can say "we never store raw identifiers" has a much easier sale.
No public figure exists for India's tokenisation or data-vault market. The signal is that two US vendors have added India features - one lists DPDP compliance and a data residency product[4], and another ships pre-built DPDP policies[5]. Treat that as a sign of interest, not a market size. Count your own buyers bottom-up from Indian vertical-SaaS firms with SME clients.
One US vendor sells a data privacy vault with per-field encryption and residency options to larger companies[4]. Another tokenises and masks personal data, mainly before it reaches AI tools[5]. Cloud providers offer key management services, which developers can use but have to assemble themselves.
The gap is a low-cost, India-hosted vault built for Indian identifier formats and sold to small developers with a simple SDK.
| Difficulty | Moderate (47/100) |
| Starting capital | ₹1.5–2.8 Cr |
| Time to launch | 9–12 months |
Trust is the hard part. You're asking vendors to put their most sensitive data behind your API, so uptime, latency and key management have to be excellent from day one and you need an independent security audit before the first paying client. Search on tokenised fields is also tricky to build without weakening the protection.
Standinkey needs no licence, but you and your vendor clients are both in scope for DPDP safeguards.
Building this outside India? The categories above usually have a local equivalent, so check with your own regulator.
Don't trust AI to guarantee that all personal data is caught. Detection misses things, so treat it as a helper and keep the vault's access rules and audits as the real control.
Want to work out the AI layer for Standinkey? Talk to Yash →
This is right for a founder with deep security engineering experience and the patience to earn trust slowly. If you're a first-time founder without that background then I'd honestly steer clear. Prove first that five vendors will move one real field, such as PAN, into the vault in production and keep it there for 60 days.
Plan for roughly ₹1.5–2.8 Cr, because a vault has to be secure, fast and audited before any software vendor trusts it.
No licence, but you are a processor under the DPDP Act, so safeguards and breach reporting apply. Check UIDAI rules before storing Aadhaar numbers.
Yes, software makers everywhere need to protect personal data. Check your local data protection law and any rules on national ID numbers.
The free Standinkey validation kit has the line-by-line capital breakdown, the effort scoring, the DPDP and security checklist, a 14-day validation sprint with pass/fail targets, a 90-day launch plan, 10 interview questions for software vendors, and 5 assumptions to test. Download the kit →
Thinking about building Standinkey or something close to it? The make-or-break work is earning enough trust that a vendor routes its most sensitive fields through you, and that's the kind of plan I help founders put together. If you need a hand, you know where to find me. Talk to Yash →
For illustration only. Names are fictional and ideas hypothetical; sourced facts are real but may be out of date. Nothing here is legal, financial or professional advice, and Yash Khatri is not personally liable for any use of it. Read the full disclaimer.