Investment research is only useful when you can prove the numbers.
TruePrice gives Indian investment firms financial facts they can trace, checks that stop common mistakes, and a memory that keeps the work.
AI is good at thinking through a question. It should not be trusted to invent the facts.
Analysts are already using Claude, ChatGPT, and Claude Code to work faster. Those tools can help reason through a company, but they can also make up a number, mix two reporting periods, or forget the work after the conversation ends.
For an investment firm, that is not a small inconvenience. A figure needs to stand up when a colleague, client, or regulator asks where it came from.
A source is not enough. The receipt needs to travel with the number.
A financial figure can look correct while still being the wrong figure: standalone instead of consolidated, a forecast shown as an actual, or a restated result without the original context.
TruePrice attaches the useful detail to every fact — the filing, page, exact period, reporting basis, units, and restatement history. The analyst does not have to reconstruct the trail later.
We guarantee the inputs and the paper trail. We do not guarantee the analysis. Grounded means traceable and checked — it does not mean infallible.
Sometimes the right answer is to stop before a mistake gets into the work.
Most systems return an answer even when the data does not safely fit together. That creates a neat-looking result and leaves the analyst to find the problem later.
TruePrice is designed to refuse when it cannot answer safely, explain why, and show the clean options. The refusal is not an error message. It is part of how the product protects the work.
- Do not mix consolidated and standalone accounts in one trend.
- Do not present management guidance as a reported result.
- Flag a figure with the wrong unit scale before it is used.
- Handle a company changing its financial year without hiding the gap.
Good research should not disappear when an analyst changes tools, teams, or jobs.
Important thinking often lives in personal AI conversations, private files, and individual models. The firm pays for the work but has no reliable way to find the assumptions behind a past conclusion.
TruePrice gives the firm a private research memory for the work it chooses to keep: models, notes, screens, briefs, and the evidence behind them. It remains searchable, can be exported, and doubles as a clear audit trail.
For Indian listed equities, accuracy comes from going deep on one market.
Indian filings have their own reporting patterns, fiscal years, restatements, and source documents. A broad data layer can cover many markets superficially. It cannot always carry the detail an investment team needs to rely on the answer.
TruePrice is built around Indian listed equities so the data, checks, and research workflow fit the market the team actually covers.
The research stays in your own AI, your own way. The numbers stay provable, and the firm keeps what it learns.