Investment research and market work, written to decide from
Diligence, market maps, and competitor work, delivered as a document you can act on rather than a folder of tabs.
Research written to decide from, with the assumptions visible, the sources named and the parts that could not be established stated plainly. What would change the answer is written down before the looking starts, because research produced after a decision is justification.
Is it a fit?
Question
There is a decision waiting on the answer, and a date it has to be made by.
Source
Every claim traces to something you can open and check yourself.
Disagreement
The case against is written down too, by somebody who meant it.
Start here. You get back how your own answers would read to somebody running this on you.
Would you pass one tomorrowWork it out in a minute
Five areas a large customer, lender or investor tests, scored on what you could produce tomorrow.
What the engagement includes
Scope agreed first
The specific questions the research has to answer.
Market and competitor mapping
Who is in the space, how they price, and where they are weak.
Company diligence
Filings, structure, people, and public signals, gathered and checked.
Financial context
The numbers that matter to the decision, sourced and cited.
Research we deliver
Primary-source work, both sides argued, every claim cited and dated.
What honest research looks like before a decision
Most investment research that reaches a decision maker is written to support a conclusion somebody already reached. It reads as thorough, cites real sources and quietly omits the things that would complicate the answer. That is the failure mode worth designing against.
Useful research starts from the question rather than the company. What would have to be true for this to work, what would make it fail, and which of those is knowable in advance. Everything after that is checking those specific things rather than assembling a general profile.
From the other side of the table, preparing for a raise is what the company should have done. The same discipline applied to your own numbers is data warehouse and BI.
What clients usually add
Research answers whether the thing is worth doing. Operations due diligence answers whether the business behind it would survive a proper look, and business documents is what gets requested first in either direction.
How it runs
Diagnose, build, run.
How engagements are set up
Scoped to the depth of the question rather than to a page count.
- Scope
- Agreed before work starts
- First call
- 20 minutes
- Reply time
- 1 business day
Where research goes shallow
Most research summarizes what everyone already read. The edge is in the filings nobody opened.
Headlines instead of filings
Decisions made on coverage of the 10-K instead of the 10-K.
No devil's advocate
A thesis nobody argued against is a hope with formatting.
Stale by the meeting
Analysis from three weeks ago presented as current.
Every brief is built from primary sources, argues both sides, and is dated and cited so you know exactly what was known and when.
Questions we get
What exactly do you produce?
Company research, market maps, competitor analysis, diligence memos and background checks, with the sources cited so anything can be checked independently.
Do you give investment advice?
No, and that is a firm line. We are not licensed advisers. We produce research and cite sources so you or your adviser can make a better-informed decision.
How deep does the research go?
Scoped to the depth of the question rather than to a page count. A quick background check before a first meeting and a full diligence memo before committing capital are different pieces of work.
What sources do you use?
Filings, regulatory registers, court records, primary documents, published data and direct disclosures. Press coverage is used carefully, because much of it repeats a company's own description of itself.
More questions? Research, answered Read the guide: How to research an investment all areas
Read next
How this runs, every question we get, and the work that usually sits next to it.
Shaheer leads the work, with engineers, writers, filers and analysts behind him. C-suite operations for a San Francisco AI company, Six Sigma on the process side, Anthropic certified on the Model Context Protocol, ten years across eight industries. See what we have built