Boom Leverage
Boom Leverage AI · One Report (Form 56-1) + Opp Day · ~926 listed companies

Stop reading annual reports one PDF at a time. Ask the whole market one question.

Boom Leverage AI reads every Thai One Report and Opp Day transcript and answers in a page — who gains, who loses, who hedged — with the page number on every line. A line it cannot tie to a filing is withheld, and a withheld summary is not charged.

Real passages now, no login. Sign in for the AI summary and chat.

FY2016–2026 on ALPHA, the desk licence — scoped with us, not bought off a card. Self-serve plans reach 6 years, and the free tier opens right now.

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~926
listed Thai companies
10 yrs*
deepest history a plan unlocks
2×/day
sync with the SEC filing feed
99.0%
of findings verified against the filingResults & financial position, Risk factors, Business & competition, Governance and Auditor opinion (beta) · FY2021 onward
Live search over real Form 56-1 filings · no login

Live results from the same engine that runs terminal.boomleverage.com — type your own

Three problems, one search box

You cannot Ctrl+F a market. Generic AI cannot cite a page.

The filings are Thai. The question, the answer and the evidence trail are English — you do not need to read Thai to audit the work, you need the page number, and it is on every line.

You cannot Ctrl+F a market

Type the thesis in English — “margin pressure from energy costs” — and the engine finds every company that discussed it in Thai, in words you never used. ~926 companies, years of filings, one query.

Generic AI cannot cite a page

Boom Leverage AI groups what it found by who gains, who loses and who hedged — one line per company, each with a [n] back to the page of the filing or the minute of the Opp Day clip. A line it cannot tie to a source is withheld, and a withheld summary is not charged.

A sector read takes a fortnight

A market scan, a one-company health check or a year-by-year read, summarised for 2 credits — then ask the follow-up in chat. Export the sources to Excel and the summary to Markdown, and hand both to your analyst.

Not a recommendation and not a price target — management's own words, summarised and cited, so you reach your own conclusion. How the verification works →

Bespoke Forensic Report

On-Demand Research

Point our forensic stack at one name, one sector, or one question, and get back the memo we would write for our own book — every claim carrying the filing, the page, and the line it came from.

  • A written forensic memo — findings first, hedging never.
  • Every assertion cited to the source filing, page and passage. Anything we cannot tie to a document does not go in the memo.
  • The underlying evidence set exported to Excel/CSV, so your analysts can re-run our work instead of trusting it.
  • A call with the analyst who wrote it.

If your desk does not read Thai

Every cited line arrives twice: the company's own Thai sentence verbatim, and our English rendering beside it — labelled as ours, because the Thai is the authoritative text and the translation is not the filing. The page number and the link to the document at the regulator sit on the same row. Any single claim can be put in front of a bilingual analyst, a translator, or your own Thai counsel and settled in minutes. You are never asked to trust our reading of a sentence you cannot see.

Commissioned for

  • — Pre-IC diligence on a Thai name your team cannot read the filings for
  • — A second opinion on a position that has started behaving strangely
  • — Sector-wide screens for a specific failure pattern — related-party drift, auditor churn, working-capital rot

On-Demand Research

$1,000 / report

per report · starting price

Includes up to 3 rounds of output/format revisions to match your internal IC presentation standards.

Commission a report

One report costs $1,000. The Terminal runs the same engine across the entire market, every day, for a fraction of that — which is the point of showing you both prices on one page.

Pricing

Or run the engine yourself, every day

Every plan includes Boom Leverage AI: a summary is 2 credits and a chat turn costs the same as a search. The plans differ on how far back you can reach and how much you can pull per day. ALPHA is the desk licence — seats, the whole result set out to Excel, and an API into the stack you already run.

How far back each package reaches

  • Freelatest 5 quarters
  • DELTA4 years
  • GAMMA6 years
  • ALPHA10 years · FY2016–2026

Depth is the axis the self-serve packages differ on. ALPHA is scoped with us rather than bought off a card — the 10-year window comes with it, alongside seats, bulk export and the API.

FREE · evaluation

฿0

Latest 5 quarters · 100 credits/day

Opp Day: the last 2 quarters

Start free
Most popular

DELTA

฿799 /mo

≈ $25/mo

4 years of history · 150 credits/day

Opp Day: the past 4 years

Subscribe

GAMMA

฿1,399 /mo

≈ $43/mo

6 years of history · 350 credits/day

Opp Day: the past 6 years

Subscribe
Team / desk licence

ALPHA · desk licence

from ฿9,900 /mo

≈ $300/mo

FY2016–2026 history · multi-seat · 100-row Excel/CSV export · API · auditor axis (beta) · 1,500 credits/day

Opp Day: the past 6 years

Talk to us

Card, auto-renewing · upgrade or cancel any time, prorated · billed in THB by our Thai entity — the USD figures are a reference, not the charge · What each action costs, and AI limits per plan

The FY2016–2020 archive is included with ALPHA — every finding older than FY2021 is withheld unless its quote has been verified against the original filing.

Need the raw data (quant / systematic / enterprise)? See the API plans

About the platform

What Boom Leverage is

Boom Leverage Terminalis a research tool for Thai listed equities — semantic search over public Form 56-1 filings and management discussion and analysis (MD&A) across the entire market, with an AI summary and chat on top, and every result cited back to its source document. Sign in with your Google account to start free, save searches, and manage your plan.

About us·Privacy policy

Built by someone who owned credit risk inside a bank
  • 4+ years as Senior Data Scientist / Model Risk Manager inside Thai banking
  • Built a production NLP early-warning system for credit risk at a commercial bank
  • Owned production ECL models under TFRS 9 · IC Complex Type-1 licence (Thai SEC)
  • Former university lecturer — the method is explained, not sold as a black box
For institutions · research desks

Deploying this across a fund, an asset manager or a sell-side desk?

Seats for the whole team, the full result set out to Excel or through the API, and an audit trail your compliance function can follow back to the filing. Depth and daily quota are scoped to the desk, not to a price card.

Ask it the question you cannot answer today

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