AI Market Research
What AI Can and Cannot Infer from Secondary Market Data
Understand the useful role of AI in secondary market analysis and the limits around comparability, market sizing, causation, and buyer intent.
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Desk Research Automation
White Storm Technologies helps turn repeated desk research into a documented, reusable workflow. We scope the question and source requirements, organize permitted documents or pages, and use AI-assisted extraction where it helps reviewers work through the material. The workflow preserves references and makes the path from an observation to its source easier to follow.
YOUR GOALS. OUR EXPERTISE.WHO WE HELP
Built around your team.
For research agencies, consultants, analysts, and internal strategy teams handling repeated evidence requests.
The challenges we help solve.
Analysts often repeat the same collection, reading, and formatting steps for each engagement. Important context can disappear when a paragraph is copied into a spreadsheet without its date or definition. Automating that work is useful only if the resulting evidence remains inspectable and the method handles missing, inconsistent, or low-quality sources.
WHAT WE DELIVER
What we can build with you.
- 01
A repeatable research specification
A source selection framework, extraction fields, inclusion rules, and evidence register structure. We define when the available material is sufficient for a brief and when additional research is needed.
- 02
Collection and extraction workflow
A process for agreed documents, pages, or datasets that retains source references and flags extraction problems. Licensed and private materials are used only within agreed access and usage rights.
- 03
Reusable review outputs
Evidence tables, topic summaries, and draft brief formats with uncertainty and open questions visible. Review guidance helps analysts validate a sample and investigate questionable records.
ILLUSTRATIVE WORKFLOW
How the solution works.
- 01
Describe the repeatable question
Examine an existing research task and agree the source types, geography, timeframe, fields, and evidence standards. Identify information that requires expert interpretation rather than extraction.
- 02
Build and inspect the evidence flow
Implement collection and structured extraction, then check representative records against the original material. Test conflicting figures, ambiguous definitions, and inaccessible sources.
- 03
Fit your review process
Shape tables and briefs around the review process, document correction steps, and agree refresh or rerun requirements. Keep an explicit place for gaps that automation cannot resolve.
A CLEAR STARTING POINT
What we need from you.
- A recurring research question and a previous output if available
- Approved source types, access credentials where needed, and usage rights
- The fields, definitions, and evidence standards reviewers expect
- A subject reviewer and examples of weak or unsuitable evidence
Systems & integrations.
We assess access, supported APIs, and suitability during discovery. These tools are options to evaluate for your project.
- Permitted public sources and licensed document collections
- Client research folders, knowledge bases, and document repositories
- Spreadsheets, databases, and evidence management workflows
- Reporting or document tools selected for the team's review process
Illustrative example: structure a policy evidence library
A consulting team could organize a supplied collection of policy documents into a table of publication dates, jurisdictions, relevant provisions, and source passages. Analysts would review the extracted records and use them as briefing inputs, with uncertain interpretations held for specialist judgment.
BEFORE WE BEGIN
Questions worth asking.
Can you research any website automatically?
Source access, terms, licensing, and technical constraints need review first. We work from permitted sources and do not assume a workflow can bypass access controls, paywalls, or restrictions on automated use.
How do you handle conflicting statistics?
We preserve the source, date, definition, geography, and other relevant context, then flag the disagreement. Reviewers can decide whether the figures are comparable or whether the brief should explain the conflict rather than choose one silently.
Can this process work with our document library?
Yes, subject to access and content rights. We assess formats, document quality, metadata, and update patterns before defining the ingestion and extraction approach.
Will the output be ready to send to clients?
The workflow produces structured research inputs and draft briefs for your review. Client-ready conclusions depend on your methodology, subject expertise, confidentiality requirements, and approval process.
WHITE STORM INSIGHTS
Plan your next step.
LET'S START WITH YOUR GOAL
What would you like to make possible?
Tell us about your team, current systems, and the outcome you need.