Frequently asked questions

You cannot open an account yourself right now, sign-up is closed and we handle setup for you. Once you leave a demo request, we set up your company account, your white-label career page and your first position together. The trial plan runs for 14 days with every feature open; you see the full product, not a limited version of it.

Three ways: your white-label career page published on GoTeam, the application widget you embed on your own site, and a separate flow for internship postings. You can add posting-specific form fields to each listing. A candidate’s uploaded resume can only be a PDF, capped at 5 MB; there is no LinkedIn or Indeed connection.

No, the process continues in the same panel after hiring. Interviews get scheduled, documents get requested from the candidate, and a hired person moves into the onboarding chain; the employee record, employment periods and rehiring also live in the same place. Google Meet interview scheduling and the document chain are available starting from the Professional package, so factor your post-hire needs into your package choice.

Same engine, different surface. CV Analysis is the consumer surface where a job seeker uploads their own resume, and the exact same engine that hiring teams see runs there. The company side is the applicant tracking system and the position-based evaluation layer. On the candidate side the free score is open; the paid full-report sale is currently closed.

No, the model does not give a score; it answers the question "is this proven in the CV" item by item and leaves a verbatim quote from the resume next to every answer, and the code does the adding up. In CV analysis, 89% of the overall score is calculated by code straight from the resume, and the model is never asked for it. The quote is verified in code too: the set the model may quote from is built from the file, and any quote falling outside it is dropped.

No. GoTeam does not automatically reject candidates; the AI cannot change any application’s status on its own. It produces evidence-based recommendations, and the HR team makes the advance, interview and reject decisions. Every status change happens with a user’s approval and is written to the audit log. An item with no evidence found is not held against the candidate either; it drops out of the denominator instead of counting as half a point.

In CV analysis, the same file always gets the same score. Mandatory criteria are never asked of the model in the first place: the year arithmetic runs in code and the gate has three values, passed, blocked or unknown. You can manually advance a candidate who comes out blocked by writing a reason, and the original record is not deleted. Changing the criteria and re-scoring, on the other hand, costs nothing extra.

Some of it. Hidden prompt-injection text embedded in the file has a measured effect on the score of zero; the reason is not scanning, it is that every item must be proven with a verbatim quote. Against keyword stuffing, though, the system did not come out clean: our measurement showed a drift of 12 and 7 points across the two methods tested. The integrity gate at upload time filters out an encrypted file or a page bomb without spending a credit.

No. The system does not learn from past hiring outcomes; who got invited or hired never enters the scoring, and no past tendency is fed back into the model. That said, we do not claim to be "unbiased": identity-swap auditing is done and the thresholds are on record, but our test set is synthetic and eight candidates. We do not claim what we have not measured.

A user without permission to see a candidate’s name, email and phone sees those fields masked. Masking happens on the server, the blur on screen is not the only line of defense. A user who cannot read a candidate’s identity also cannot find that record’s delete and export buttons; deleting someone without knowing who you deleted would be a bigger problem under KVKK, the Turkish Data Protection Law.

Resume files are stored with a cloud storage provider based abroad, and are sent to an AI provider based abroad for analysis. Beyond that, candidate data is not transferred to any third party; there is no LinkedIn, Indeed, HRIS or Slack integration. Each company’s data is closed off from the others, and that boundary is enforced server-side, not in the interface. The full list of sub-processors and the request path for their legal names is on the KVKK page.

The permission chain runs from user to role and from role down to individual permissions; you decide which role sees which screen and which action. Ready-made roles come with every package, and defining your own roles is available starting from the Professional package. Permission to view personal data is a separate permission, so you can have someone evaluate an application while keeping the candidate’s identity hidden from them.

Yes. Every evaluation record keeps the version, model and the basis for the mandatory criteria gate used, and re-analyses accumulate in a separate history record. Status changes are also written to the audit log along with who made them. That lets you show, after the fact, which decision band a candidate landed in and which sentence counted as evidence for that decision.

There are four packages and our prices are published on the site: Mini 1,499 TL a month, Starter 3,499 TL a month, Professional 9,999 TL a month. Enterprise is a custom quote. All amounts include VAT. On the annual plan, you pay for 10 months and use 12. What separates the packages is the number of active postings, the number of user seats in the panel, and the monthly AI evaluation quota.

One candidate evaluation is one credit. The fit score for the position a candidate applied to is included in the application analysis and is not charged separately. Changing criteria or weights and re-scoring is free: the same candidate-position pair is only charged once. Natural-language search, posting requirement checks, the integrity gate and embedding generation never spend a credit.

You buy a top-up package: 100 evaluations 750 TL, 500 evaluations 3,250 TL, 1,500 evaluations 8,250 TL, all VAT included. Credits from a top-up package do not expire at period end and are spent after your plan credits run out. If you spend the same volume every month, upgrading your package works out cheaper than buying top-ups; top-ups exist for the months your volume temporarily spikes.

How many postings stay open at once, how many people use the panel and how many candidates you evaluate a month; the choice comes down to those three numbers. Interview scheduling and the document chain are available starting from Professional, and bulk CV import from Google Drive only on Enterprise. The natural-language advisor is included in every paid package. If you are not sure, tell us your current volume and we will work it out together.