Lynk MeWe learned this in the hardest place to get data wrong
Lynk Me came out of six years building data infrastructure for regulated financial institutions, where data you can't trace to its source can mean fines for our clients. That standard is the whole product.
A pivot we earned through near successes
The problems we were asked to solve turned out to be a narrow expression of a much broader issue. Getting that wrong for a while is how we came to understand it properly.
- 20182018Founded
Entrepreneurs couldn't get paid
Financial services across the Caribbean and Latin America ran customer due diligence on paper. Onboarding a single client took up to a week and multiple in-person visits. To get payments on your website took months of tedious approval chains.
- Built a fintech tool which evolved into QKYC, a customer due diligence and self-sovereign identity platform
- Onboarding cut from a week to 2-3 hours
- ML document extraction removed 95% of data entry errors
- 20202020Enterprise
Guardian Life went live and stayed live
A multi-national insurer put QKYC into full operational deployment. That relationship is still running and still expanding
- Live across Trinidad and Tobago, Barbados and OECS markets
- 800+ business users in daily production use
- SOC 2 Type II
- 20222022Partnerships
Distribution through people who already had trust
We stopped trying to reach regulated institutions cold and started working through firms those institutions already relied on. The pattern we still use.
- Symptai, the largest AML and cybersecurity consulting firm in Jamaica
- Inteli-K, a major Monday.com reseller in Mexico City
- Confirmed that credibility travels through advisors, not advertising
- 20232023The lesson
We were solving the wrong expression of the problem
High-stakes regulatory technology rewards incumbents with deep balance sheets and long institutional relationships. Meanwhile the underlying problem, data fragmented across systems that never agreed, was not a compliance problem at all. It was in every mid-market company we looked at.
- 2 RFPs that seemed like sure things evaporated for reasons beyond our control
- Endeavor Labs accelerator
- Same broken data, far shorter sales cycles, far lower risk
- Decision to rebuild around the fragmentation problem itself
- 20242024Rebuilt
Same engine, universal problem
We rebuilt the foundation and pointed it at mid-market companies running $10-100M in revenue, funded by the Guardian Life business rather than by dilution. Connecting operational and financial data for finance leaders without an IT department to do it for them.
- Data intelligence platform for companies with several systems of record
- No migration, no replacement, no downtime
- Every figure explainable back to its source transaction
- TodayTodayNow
Proven in production, paid for monthly
Pioneer clients in Colorado, Los Angeles, Portland, Philadelphia and Miami, running dashboards, inventory optimisation and automated monthly reconciliation.
- A growing list of clients on monthly subscriptions in every corner of the US market
- Growth through fractional CFOs, who see these problems before we do
- Product development built through solving real client projects & asks
What eight years in high-stakes industries taught us
Every number traces to its source
If we cannot show you the transaction a figure came from, we have not finished. This started as a compliance requirement and turned out to be the only way anyone actually trusts a dashboard.
Edge cases are the job
No two clients have ever been the same. The interesting work is never the happy path, it is the 3% of records that break every assumption, and that is where the margin hides.
We work with what you already run
No migration, no replacement, no downtime. Every system you bought solved a real problem at the time. We fix the data between them instead of asking you to start over.
Deterministic before clever
Reconciliation pipelines are rules, not guesses. AI runs in a governed, highly controlled environment where nothing goes to external services and every action is explainable.
A seven person team that builds and delivers
Engineering, product and support. The people who scope your engagement are the people who build it, which is why engagements run 2-6 weeks instead of a quarter.
Done for you, not sold to you
We are not handing over software and a training deck. We connect the systems, clean the data and build the reconciliations.
Built for scarce resources
Our clients do not have large IT teams or budgets to match. Our approach assumes you cannot spare six people for a year.
Multi-nationals to small businesses
E-commerce, manufacturing, services. The systems change, the fragmentation does not.
Bring us the data problem you have stopped trying to fix
The one everyone has quietly agreed to work around. A short call is enough for both of us to tell whether this is a fit.
Or ask your CFO. There is a good chance they already know us.