159 million data points, asked in plain language.
KNOWLIMITS runs one of the most detailed market surveys in the Czech Republic. We built KNOW.me so anyone in the company can ask the data a question – and get a number that is actually computed.
Case study – KNOWLIMITS- 8,500respondents
- 19,000variables per respondent
- 159Mdata points per study
- 9.05Mpeople every answer is projected to – Czech Republic, 15+
The problem
Rich data, but every question waited for the research team.
Eight and a half thousand respondents, nineteen thousand variables each. Every business question meant a custom analysis by the research team, and smaller questions were never asked.
KNOWLIMITS wanted anyone on the team to ask directly – without losing the accuracy their clients pay for.
What we built
A dataset you can ask, that never makes a number up.
KNOW.me is an agent, not a chatbot: the language model decides what to compute, and the computation runs on the real data.
- 01
Define the group
The agent finds the survey questions that define the group and confirms them with the user.
- 02
Analyse it
It picks the right columns, writes the code and runs it on the dataset.
- 03
Found by meaning
Search by meaning across all 19,000 variables, so everyday words find the right survey questions.
- 04
Weighted and repeatable
Every answer is weighted to the Czech population aged 15 and over, and the code behind it can be shown.
How it works
From a question to a number.
The model never guesses an answer. It chooses the method; the arithmetic runs on the data.
- 01
Ask
A question in Czech, from anyone in the company.
- 02
Find
The words are matched to survey questions, and the group is confirmed.
- 03
Compute
Code runs on the dataset. Nothing is estimated.
- 04
Answer
A number with its basis, right in the conversation.
The result
Anyone in the company can ask the data directly.
Data that went through the research team is now a tool for the whole company, and the researchers keep the questions that need their judgement.
Every answer is a real, weighted statistic that can be repeated – the accuracy of a research team, without the wait.
The same approach works for
- Asking ERP, production or quality data questions in plain language
- Reports that today need an analyst or an export to Excel
- Any data where the number must be computed, never guessed
Contact
A similar problem on your desk? Let's look at it together.
Thirty minutes with a founder: your process, your data, and whether a system like this one would pay for itself in your plant.
Or reach us directly
- Matyáš ProkopiusCo-founder
- Adam BulkaCo-founder