TLDR
- Pick Tracy AI Interviewer over Karat for a first round when no applicant should wait for a booking: every one gets a video interview with CV-tailored questions, and your team reads the recording and integrity signals with evidence before deciding.
- Pick Karat when expert human interviewers, a standard rubric and benchmark data on engineering roles matter more than reach.
- Many teams will use both: Tracy for the first round, Karat for finalists.
These are two different answers to one problem. Karat supplies the interviewer: a trained engineer who runs the technical interview for you. Tracy AI Interviewer is the interviewer: it runs the conversation on video and writes up what each person said. Facts come from both vendors' own pages, read on 3 Nov 2026, except where we mark a number as third-party. We make Tracy, so weigh our view accordingly; the Karat sections are written to be useful if you pick Karat.
Who is each for?
Karat is for engineering teams that want expert interviewers to take the first or second technical interview off their own engineers, scored on one rubric across teams and geographies.
Tracy is for teams that want to interview everyone who applies, including candidates outside engineering, with questions built from the role and the CV, and review a recording, transcript and written assessment instead of booking a person for each one.
How do they compare?
| Dimension | Tracy AI Interviewer | Karat |
|---|---|---|
| Who interviews | AI, in a two-way video interview | Karat Interview Engineers, who are human |
| Format | Two-way video interview; no install for the person being interviewed | Live video with an engineer; camera strongly encouraged, not required |
| Scheduling and volume | None: each applicant joins from a link when they click, at any hour, so everyone who applies can be interviewed | 24/7 on demand, same-day, evenings and weekends; each interview is an engineer's booked session |
| CV or resume | Can read the CV and ask 3 to 5 questions tailored to it and to the role's must-haves | Its FAQ says customers may share a candidate's resume data; how interviewers use it is not stated |
| Coding | Can introduce a coding task and probe the trade-offs behind an answer | Code playback; engineer-led coding interviews |
| What you get back | A recording, a transcript timed to the recording and a written assessment per question with its reasoning; you read the words, then you decide | Overall recommendation, a quantitative score and written feedback per question |
| Standard across interviews | The same depth for applicant one and applicant five hundred, per Tracy's hiring-at-volume page | Consistent scoring rubrics |
| Benchmark data | Not stated on Tracy's pages | Compare against 600,000+ interviews (Karat's claim) |
| Integrity | On video interviews, integrity signals with their evidence for a reviewer, not a verdict (Tracy's home page) | Interview Engineers watch for cheating; a second engineer rewatches flagged interviews |
| Roles covered | Hiring, expert interviews, accelerator and fellowship applications, customer research | Engineering talent |
| Connections | API and MCP connections; start from an invitation link, an apply page or your own system; customised setups for enterprise | Not stated on the pages we checked |
| Price | $7 per credit; first 3 results free | No published price; Request a Consult or Request demo |
| Human decision | Stays with you | AI never makes final hiring decisions, per Karat |
Where does Karat win?
- Expert human judgement. Karat's interviews are "live, human-led interviews conducted by experienced, certified interview engineers." An engineer can read code and reasoning the way your own engineers would. Tracy is software that asks follow-ups; its pages do not describe an expert's review of a candidate's code.
- One standard across teams. Karat describes structured formats and consistent scoring rubrics, and says every engineer is held to a consistently enforced technical bar. If your problem is that different interviewers grade differently, a single outside bench of interviewers addresses that directly.
- Benchmark data. Karat's home page invites you to see how your talent measures up against its 600,000+ interviews, and a customer quote on the same page credits it with competitive benchmarking across roles and geographies. Tracy's pages do not describe benchmarks across other companies' candidates.
- Scale of its own practice. Karat's home page says 600,000+ technical interviews; its product page says 350k+ in 70+ countries with 500+ interview engineers. These are Karat's numbers and we did not verify either.
- An earlier step. Karat Qualify is an on-demand, adaptive multiple-choice screen you can send to all applicants before the Karat Interview. It takes 15 to 30 minutes for most candidates and is not a code test, so Karat has an answer to volume too, though it is not an AI interview.
- A human check on cheating. Karat's engineers watch for behaviours such as typing outside the browser window and looking between monitors, and a flagged interview is rewatched in full by a second trained engineer.
- Security paperwork. Karat says it provides a SOC 2 Type II attestation report on request.
- AI in the loop. Its NextGen page describes human-led, AI-enabled interviews, and its home page lists live AI-native simulations led by its Interview Engineers, so a human can run a modern, AI-allowed interview.
Where does Tracy differ?
Each point names its dimension and the Karat fact it is set against.
- Volume. Tracy has no booking step: every applicant is interviewed when they click the link, at any hour, with no recruiter present, so hundreds of applicants can each get a full interview. Karat's on-demand scheduling is fast, but each interview is one engineer's session. The difference is in the model: with an AI interviewer, you do not need a person for each applicant.
- Depth from the CV. Tracy can read the CV and ask 3 to 5 questions tailored to it and to the role's must-haves, on top of the role's questions. Its product page says each follow-up depends on the answer before it and a vague answer gets a sharper question, and Tracy can introduce a coding task and probe the trade-offs. It waits for the end of an answer before it follows up. Karat's pages do not state how its interviewers use a CV or follow up, and we make no claim about it.
- Evidence. Each Tracy interview leaves the recording of both sides, a transcript timed to the recording and a written assessment per question with its reasoning. You read the words, then you decide. Karat's report also carries written feedback per question and a quantitative score, so the evidence has a different shape on each side.
- Integrity signals. Tracy's video interviews include integrity signals with their evidence for a reviewer: tab changes and fullscreen, face and gaze (live face detection and where the person is looking), a long delay before an answer and an external screen, listed on Tracy's home page. They are signals, not a verdict, and we give no detection rate. Karat's checks are made by people, so the two take different routes to the same concern.
- Stack. Tracy connects through an API and an MCP server, and an interview can start from an invitation link, an apply page or your own system. Enterprise teams can ask for a customised setup.
- Fields beyond engineering. Tracy's site lists hiring at volume, expert vetting that checks domain depth before an expert joins a project, applications to accelerators and fellowships, and customer research. Karat's site describes engineering talent.
What does each cost?
Karat does not publish a price. The only figures we found are third-party, from Vendr's procurement data, and they are not Karat's: a median buyer spend of $175,695 a year, a range of $57,000 to $1,069,900 a year, and per-interview rates of $200 to $450 for a standard technical screen depending on volume, term and tier.
Tracy's price is its own and is on its pricing page: $7 per credit, one credit for each started 20 minutes, so up to 20 minutes is $7, 21 to 40 minutes is $14 and 41 to 60 minutes is $21. Your first 3 results are free.
These are not like-for-like. A Karat interview is an engineer's time with a rubric, and a Tracy interview is an AI conversation with a written result. Compare them by round: what a first round for everyone costs, and what a second round for finalists costs. See AI interview cost for more published prices.
How would you get started?
- Run a first round on one open role. Invite applicants to a Tracy video interview; your first 3 results are free.
- Read the results next to your usual first screen. Check whether the people Tracy surfaced are the ones you would have chosen. AI interview reports shows what a reviewer should look for.
- Keep expert humans where they add the most. If Karat or your own engineers interview finalists, the AI first round can narrow who reaches them. AI screening interviews explains how a first round runs, AI interview vs human interview covers what each does well, AI technical interviews shows a coding screen, and Karat alternatives lists other options. For engineering questions to pair with either, see software engineer interview questions.
Questions
Is Tracy a replacement for Karat?
For a first conversation with every applicant, it can be. For expert human judgement on engineering candidates, with Karat's rubric and benchmark data, Karat is built for that and Tracy is not. Tracy's case is volume, depth and evidence: every applicant interviewed on click, questions built from the role and the CV, and a recording, transcript and written assessment per question. Many teams will want an AI first round and expert humans for finalists.
How do Tracy and Karat pricing compare?
Tracy publishes $7 per credit, with one credit per started 20 minutes, so a 60-minute session is $21, and the first 3 results are free. Karat publishes no price. Vendr, a third party, reports per-interview rates of $200 to $450 for a standard technical screen and a $175,695 median annual spend. The two are not like for like: Karat's interviewer is a human engineer.
Does Tracy handle coding interviews?
Tracy can introduce a coding task and probe the trade-offs behind an answer. Karat's interviews include code playback and are run by expert engineers. Tracy's pages do not describe an expert review of the code.
Can Tracy interview roles other than engineers?
Yes. Tracy's site lists hiring first rounds, expert interviews, accelerator and fellowship applications and customer research. Karat's site describes evaluating engineering talent.
Does Tracy or Karat make the hiring decision?
Neither. Karat says AI never makes final hiring decisions, and Tracy says the decision stays with you.
Book a demo to see Tracy interview a candidate for one of your roles, or try it free with your first 3 results on us.
Sources
All sources retrieved 3 Nov 2026.
- Karat, home page: 600,000+ interviews (vendor figure), the compare-globally wording, a customer quote on benchmarking, standards wording, live AI-native simulations, engineering scope.
- Karat, Karat Interview: human-led interviews, 24/7 on-demand, rubrics, 350k+ interviews and 500+ engineers (vendor figures), no pricing page.
- Karat, Customer FAQ: report contents, live video with the camera encouraged but optional, code playback, resume data may be shared by customers, cheating checks and second review, AI never decides, SOC 2 Type II attestation report on request.
- Karat, NextGen: human-led, AI-enabled interviews.
- Karat, Qualify: on-demand adaptive multiple-choice screen, 15 to 30 minutes, not a code test.
- Vendr, Karat: third-party median spend, range and per-interview rates. Not Karat's figures.
- Tracy AI Interviewer, home page: integrity signals list, use cases, 'you read the words, then you decide'.
- Tracy AI Interviewer, Product page: two-way video interview, no install for the person being interviewed, CV check, follow-ups that depend on the previous answer, recording with a timed transcript, three ways in, API and MCP.
- Tracy AI Interviewer, Hiring at volume: everyone who applies, on click, at any hour, no recruiter and no calendar, the same depth for applicant one and applicant five hundred.
- Tracy AI Interviewer, Technical interviews: a coding task, then a probe on the trade-offs.
- Tracy AI Interviewer, Expert vetting: check domain depth before an expert joins a project.
- Tracy AI Interviewer, Connect page: MCP server and API connection.
- Tracy AI Interviewer, Pricing: credit price, billing unit, free results, no-answer sessions never charged, Enterprise API and MCP connections and customised setup.