answers you can stand behind, worked out the way your best people would.

the answers that have to hold up

Whether every shift was paid at the right rate. What the business earned this month, as opposed to what it invoiced. Whether a taxpayer's declared sales are in line with the stock they bought. Every organisation has answers like these, whether a single figure, a classification, a report or a dashboard. They go to the board, a commissioner, a regulator or a client, or into a decision someone can appeal.

The data is spread across systems, spreadsheets and documents. Some of the rules are written down, in contracts, pay agreements, policies and laws, or built into one of those systems, and they change over time. Many are not written down anywhere. They live in the judgement of a few experienced people: which costs count as one-offs, which hours count as overtime when a shift runs past midnight, and which trips in a work vehicle count as private.

So those people work the answers out manually, every time, usually in spreadsheets only they can follow. It is slow, it is hard to check, it takes up your best people's time, and when they leave, the know-how goes with them.

Pyxta captures that judgement without asking anyone to write it down. It drafts each answer from the data in your systems and from what it finds in contracts, policies, laws and other documents. Your experts check the draft as they would a colleague's work, and each correction they confirm adds to the know-how Pyxta has captured, ready for any answer it is relevant to, including new questions. Every answer shows the records and rules behind it, with an audit trail of every decision, so you can stand behind it.

Your experts review answers instead of putting them together, and their know-how is captured and stays with your organisation.

try it free on one of your answers

one answer, start to finish

Here is an example from a made-up company, Quillmere Refrigeration. It sells, installs and services commercial refrigeration, and bills its service plans a year in advance. Claire Henson runs its finance team. This is a small slice of its books: a handful of customers, two month-ends.

why this needed more than her systems, and more than AI

The invoices are in an accounting system. The contracts are in a folder. What Claire knows is in neither.

An AI model can read all of it. But ask it for a figure, and it has to guess how your organisation works that figure out.

In March 2026 we ran an experiment. We gave one AI model a company's payments and asked it the same question three times, with the same instructions each time: how many possible duplicates are here? It said 145, then 35, then 10.

We had not told it what counted as a duplicate, so each time it decided for itself. In one run it counted every repeated payment, including regular ones such as rent. In the other two it counted each group of matching payments as one duplicate, and each run used a different test of what made payments match.

Then we gave the model the company's definition of a duplicate, and asked again. It answered 29, the correct count under that definition.

For most answers that matter, the hard part is writing the definition and keeping it current as the rules change. Your experts can spot a wrong answer, but often cannot write down every rule they apply. Pyxta writes the definition for them, from their corrections. They review its answers as they would a colleague's, and each correction they confirm is used from then on. Pyxta also applies the know-how it has captured to new questions about the same or related data, so even a first answer starts from your organisation's own judgement, not a guess, and your experts check it like any other.

• nothing to rewire. Pyxta works from the files your systems can already export, and from the contracts, policies and other documents in your folders.
• one subscription. No set-up fee.
• your people decide. Pyxta shows the effect of a change on the answer, as it did with Halcyon's fee, and makes the change only after someone on your team confirms it. Any change can be undone.
• the know-how stays within your organisation when people leave. How each answer is worked out is there for everyone who needs it, not buried in a spreadsheet or left to a few people's memory.

where else it fits

Wherever an answer needs rules and judgement that no single system holds, whether its data sits in one place or many:

• operations. Service levels worked out customer by customer, because every contract defines "on time" differently.
• people and payroll. Several years of pay records, each pay period worked out under the rates in force at the time. see a payroll review example, start to finish
• finance. The quarterly covenant test on a bank loan, where the loan agreement defines profit its own way.
• tax and compliance. A business's income checked against its bank, supplier and customs records, not just its own books.

see where it fits

the experience behind pyxta

We have spent twenty years helping government agencies and global corporations get from scattered data and documents to an answer someone can sign off. Pyxta builds that experience into AI software.

One company we work with runs Pyxta next to its own AI tool. Both read the same documents and classify the information they find, using equally capable AI models. Pyxta correctly classifies about three times as much as the company's own tool, because it uses know-how captured from the company's experts.

about beljay labs

which answer should we start with?

Tell us in a sentence or two. One of us will read it and reply within two working days to say whether we can help. If we can, we will talk it through in a 30-minute call, then work out that answer on a sample of your data, at no cost. Your expert compares the result with the answer you have now. It takes an hour or less of their time, and nothing in your systems needs to change. Whatever you decide afterwards, you keep the answer as a report, with the source of every figure and its audit trail.