For regulatory reporting teams in banks

Ask your bank’s database a question. Get a report back.

Live demo on a fictional bank·no signup

Or click a question to run it:

The problem

Reporting has the question. Only IT can get the data.

So every new figure becomes a ticket. Definitions go back and forth, the SQL gets rewritten, and the answer arrives days later. Here is one typical request, side by side.

Current workflowTicket to the data warehouse team

days, 7 messages, 2 versions

With EloniqThe reporting team asks directly

minutes, then review

The 5 days, message by message

Current workflowTicket to the data warehouse team

5days · 7 messages · 2 versions

With EloniqThe reporting team asks directly

2minutes, then review

Day0

BusinessReporting team

Ticket: For the board pack next week: our ten largest exposures by client group, as a share of own capital, compared with Q2.

BusinessReporting team, same morning

Types the same question into Eloniq.

✓Report ready to review after 2 minutes

Ten client groups, share of capital, change since Q2
The SQL it ran on your warehouse
The source columns behind each figure

Nothing to wait for.The team checks the figures and sends them the same day.

Day1

ITData warehouse team

Picked up. One question first: which client groups do you mean, the ones in the core banking system or the connected clients from the large exposures report?

Day1

BusinessReporting team

Connected clients as in the large exposures report. Capital as of the quarter end.

Day3

ITData warehouse team

First version attached.

top10_exposures_v1.xlsx

Day3

BusinessReporting team

Group 3 is €40m lower than in our Q2 report. Guarantees seem to be missing.

Day5

ITData warehouse team

Guarantees added, new version attached.

top10_exposures_v2.xlsx

Day5

BusinessReporting team

Numbers match now. Just in time for the board pack.

Lineage

See where every number comes from.

Each figure in the report links back to the tables, joins and filters it came from, column by column. Hover a figure to follow it to its source, the way your reviewer would.Here are two of them, traced back the way your reviewer would.

Exposure · Nordkai Shipping

^€412.6m

StepSUM by client group
StepJOIN on client_id
Sources
core.loanscore.clients

Share of own capital · Nordkai Shipping

18.4%

Stepexposure ÷ own capital
Sources
€412.6m abovefinance.own_funds

Security

Built to keep your data inside your bank.

Eloniq is designed to run on your bank’s systems with read-only access. These are the principles it is built on.

01Runs in your environment

Designed for your own servers or your bank’s cloud tenant, so source data and results stay there.

02Read-only access

Eloniq connects with a read-only database role and queries only the schemas you approve. It does not write to your warehouse.

03Your permissions apply

Sign-in through your identity provider. Each user only sees the tables their existing roles allow.

04Every run is logged

Request, generated SQL, user and time are stored with each result. The source of each figure is read from the SQL that ran, not written by the model.

05No training on your data

Your data, questions and reports are not used to train models. The language model runs in your environment or with a provider you approve.

06Your team signs off

Eloniq prepares the report. Your team checks and releases it. Nothing is sent to a supervisor automatically.

Team

You talk to the people who build it.

We are Mark and Alex Maldonado, two brothers from enterprise IT. We build Eloniq ourselves and shape it around how regulatory reporting teams actually work. From the first demo to your security review, you work with us directly.

Mark MaldonadoCo-founder. Tech consultant at BCG Platinion, building enterprise IT and AI for large corporates. Previously Porsche Holding.

Alex MaldonadoCo-founder. Computer science and UX, enterprise project experience at Mercedes-Benz.

Roadmap

Large exposures first, then one report at a time.

We begin where every figure has to hold up in front of the supervisor. Once it does, the same engine takes on the next report.

TodayLarge exposuresThe quarterly report on a bank’s biggest borrowers and how close each one is to its lending limit. With SQL, report and documentation for every figure.Working demo

2027 · H1Other reports to the supervisorCapital, liquidity and financial statements, with the same knowledge of your data and the same source tracing.Next

2027 · H2Risk and controllingInternal reporting for risk, finance and controlling, where definitions change often.Planned

LaterAny question to your databaseBusiness teams ask the database directly. IT sets the rules once instead of writing every query.Vision

Demo

Bring a report request you are waiting on.

In 30 minutes we run it through Eloniq with you, on the data of a fictional bank, and show the SQL and documentation it produces.

You talk to Mark or Alex directly.
hello@eloniq.com