Knowledge Base
We organise your existing documents and data into a structure both humans and language models can read reliably.
Data
Your own documents and data organised so that both your people and a language model can use them reliably.
Data Deliverables
Frequently Asked Questions
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The bottleneck is the source material rather than the model. If your documents are not organised so that both people and language models can read them reliably, no amount of prompt work will fix the answers. At Gini we organise them first, then build on top: drafting support for regulatory and model documentation, extraction from contracts and scanned records into queryable fields, and synthetic data where you hold too few examples to test against.
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The tools Gini builds can draft the parts that follow from the model itself: the data description, the methodology as implemented, the test results and the tables, generated from the code and the outputs rather than typed. The judgement sections stay with the modeller. What this removes is the several weeks of transcription that currently sits between a finished model and a reviewable document.
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By wiring it to the source that holds the answer instead of leaving it to recall one, and by attaching that source to every response so a reader can check it. Where the knowledge base has no answer, the system says so rather than producing a plausible one, and at Gini we test that behaviour deliberately before it goes live.
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Testing a process end to end before real records are available, and covering cases your history holds too few of to validate against, such as a fraud pattern seen five times. Gini states which statistical properties the synthetic set preserves and which it does not, because a synthetic set used beyond that is how a model comes to be calibrated on data that never happened.
