Analyse an issuer in minutes, not hours

We built a workflow that compiles financial statements, tunes the analysis per sector, and hands back answers you can use straight away.

Why us?

We replace the repetitive steps with a system that pulls data straight from official sources, normalises it, then gives you an answer already filtered through its sector context.

The traditional method

  1. 1Screen, hunt for filings, and download them one by one from the IDX
  2. 2Read hundreds of PDF pages and retype the figures into a spreadsheet
  3. 3Compare issuers with no consistent format
  4. 4Write your own summary, then share it with the team

1-2 hours

per issuer

The Luna AI method

  1. 1Pull filings straight from the source and clean up the tables
  2. 2Per-sector models read the patterns that matter in each sector
  3. 3Answers arrive as a short list with the data quoted
  4. 4Everything is saved and searchable again in your chat history

2-3 minutes

per issuer

We align the data, not just summarise it

Our AI focuses on sector patterns. Every answer carries the source of its figures, so you know what it leaned on.

Structured data

Financial statements and prospectuses are parsed into one consistent table format, ready to compare across issuers.

Per-sector models

Banks, miners and retailers don't work the same way. We tune a model per sector so the metrics it checks are the relevant ones.

Verifiable answers

Every summary carries its page number and source quote, so it's easy to trace and check.

What does an investor get?

Our focus: helping investment teams move faster, with answers they can stand behind.

99% less reading time

Ask Luna directly and get the figures and the conclusion in minutes.

One place, no tab-hopping

950+ issuers, sector reports and IPO data, all presented consistently.

Data ready to use

Answers come with sector context and source references, so they're easy to verify.