Private AI for research teams. Respondent data and findings stay in your team's own workspace.

What your team can do

• Check figures, bases and weighting

  Ask about your survey data and check each figure, its base and whether it is weighted. Each answer points to its source in your data.

• Notes from interviews

  Upload an interview recording. It is transcribed on the server, then drafted into notes for a researcher to edit and confirm.

• Draft reports from your results

  Draft report text from your own results without sending the data to a public AI. A researcher edits the draft and checks every figure.

• Project spaces

  Give an evidence review or a survey analysis its own project space, so the work for each project stays together.

• A morning bulletin

  Start the day with a bulletin drawn from the public websites your team follows.

• A channel for each study

  Colleagues discuss a study in a team channel and bring an assistant into the thread by typing @ and its name.

An example

A researcher asks what share of respondents bought organic food in the last 30 days. The quantitative review assistant answers 38%, or 156 of 412 valid answers, notes that the figure is unweighted, and cites question Q5 in survey_wave3.xlsx. The researcher checks the count against the source and signs off the figure before it goes into a report.

How your data is protected

• Your team's own workspace. Your team gets its own workspace, with its own application instance, database, document libraries and user accounts. Your data is not mixed with another organisation's documents. This applies on the pilot server too, which can run other organisations' pilots, each in its own separate workspace. Survey files, transcripts, chats and recordings are processed on the server that runs your workspace, by AI models that run on that server, apart from what the outside connections described below send out.
• Who can access it. Each person signs in with their own account, and your administrator decides who can use which assistants and features. In a workspace we host for you, and on the pilot server, OpenExpertsAI's administrators can access the server to maintain and support it. Hosted workspaces are reached over HTTPS through a tunnel service; when yours is reached through Cloudflare, Cloudflare's network decrypts and re-encrypts the traffic on its way to the server, possibly outside Vietnam. On a server in your own office, your organisation controls access.
• What can leave the server. Web search and outside AI are switches your administrator controls, and we agree with you during setup which ones are on. With web search on, search queries made from a user's question are sent to a web search service to fetch public pages. Documents are not sent, but a query can contain words from the question, such as a name. Outside AI is off unless your organisation chooses it, and only the accounts your administrator allows can use it. When it is used, the conversation is sent to the outside provider, including any document passages in it. Before it goes out, names, ID numbers, phone numbers and other personal details are automatically replaced with placeholders, and the real values are put back into the answer on the server. The masking looks for personal details, not unpublished figures or findings, and it catches common forms but is not perfect, so we agree rules with you on what staff may send.
• No training on your data. OpenExpertsAI does not use your data to train AI models. The models on the server do not learn from your documents or chats.

Read more about security and data handling

Where a person stays in charge

Answers can be wrong. That is why each answer points to its source: the researcher checks figures, bases and sources before a result is used.

Interview notes and draft reports are a starting point that a researcher reviews and edits, and a person approves what is sent outside the team. The workspace helps with the work; it does not replace a researcher's judgement or sign-off.

Try it for a month

1. A short call about the work that takes your team the most time and the data that needs protecting.
2. We set up a private workspace for your team, load your documents and add an account for each member.
3. Your team uses it on real work for one month. During the pilot, the workspace runs on a server OpenExpertsAI operates.
4. You choose where it runs: a workspace we host for you, or a server in your own office.

If you stop after the pilot, we delete your workspace and data and confirm it in writing. See how a pilot works

See also

• For law firms
• For health clinics
• For laboratories
• FAQ