Enterprise hiring intelligence

See what a resume leaves out.

Placiq Enterprise connects candidate discovery, verified skill signals, JD matching, technical Test Rooms, ranked results, and interview review in one recruiter workspace.

Explore what’s inside → See Test Rooms

Recruiter onboarding remains controlled during the private rollout. The interface below is an illustrative product preview based on the current enterprise modules.

Recruiter workspaceHiring dashboard

Private preview

Total candidates48Sample workspace

Avg credibility78Across candidate pool

Interviewing09Active pipeline

Active rooms03Technical screens

Hiring pipeline View all →

Pool18

Backend profile86 / 100

Data profile82 / 100

Shortlisted11

AI engineer84 / 100

Interview09

Full-stack79 / 100

Placed10

Cloud profile81 / 100

Domain strengths Current pool

DSA

Web Dev

DevOps

AKCandidate A

Backend86Shortlisted

RNCandidate B

Data Science82Available

SJCandidate C

AI Engineer80Interview

Recruiter DashboardCandidate SearchJD MatchingTest RoomsRanked ResultsCandidate ProfilesInterview ReplayHiring Pipeline

Inside the enterprise workspace

One workspace. Six connected hiring surfaces.

The product tour below mirrors the modules already present in the enterprise application. Switch between screens to see how discovery, matching, assessment, and review connect.

P Placiq Enterprise

Illustrative preview

Recruiting / Dashboard

Recruiter dashboard

Track the candidate pool, average credibility, active interviews, placement status, hiring pipeline, domain strengths, top candidates, and recent activity.

Total candidates48Available in pool

Avg credibility7812 candidates ≥ 80

Interviewing09Active pipeline

Placed10Current sample

Hiring pipeline View all →

Pool18

Candidate AEngineering college86/100

Candidate BEngineering college82/100

Shortlisted11

Candidate CAI track84/100

Interview09

Candidate DWeb track79/100

Placed10

Candidate ECloud track81/100

Candidate domain strengths Pool view

DSA

Web Dev

Data Science

DevOps

Recruiting / Search Candidates

Candidate discovery

Filter verified candidates by name or college, domain, domain score, CGPA, credibility, and hiring status. Sort by credibility, test score, CGPA, or name.

Search name or college…

Domain

All domains

Min score

80+

Min CGPA

Any

Credibility

70+

Candidate ABackend engineering track

FastAPIPostgreSQLDSAGitHub active

Top domain: DSAShortlisted

Candidate BData science track

PythonSQLML3 projects

Top domain: MLAvailable

Candidate CAI engineering track

RAGFastAPIDocker

Top domain: AIInterviewing

Candidate DCloud and DevOps track

DockerAWSLinux

Top domain: DevOpsAvailable

Recruiting / JD Matching

Job-description matching

Paste a role description, extract relevant keywords, configure the minimum match threshold and result count, then review ranked candidates with visible keyword overlap.

ML EngineerData ScientistAI EngineerFull StackDevOps

We are looking for a backend engineer with strong Python and FastAPI experience, PostgreSQL database design, REST API fundamentals, Docker, Git, and practical deployment knowledge. Strong DSA fundamentals and evidence through shipped projects are preferred.

pythonfastapipostgresqldockerrestdsa

Ranked candidates Minimum match 20%

01AK

Candidate Apython · fastapi · postgresql · docker

88%match

02SJ

Candidate Cpython · fastapi · docker · rest

81%match

03RN

Candidate Bpython · sql · git · dsa

74%match

Assessment / Test Rooms

Create, share, and monitor technical screens

Configure a room by domain, difficulty, time per question, and candidate deadline. Preview the selected questions, create the room, and share a direct test link.

Active rooms03Sample workspace

Attempts today07Across active rooms

Avg score74Current sample

Candidates tested24Current sample

DSA

DSA Screening — Backend CohortDSA · Medium · Deadline: 18 July

24 attemptsAvg 76/10045 sec / question

ActiveView Results →

ML Engineer Technical ScreenMachine Learning · Hard · Deadline: 21 July

12 attemptsAvg 72/10090 sec / question

ActiveView Results →

1. Configure2. Questions3. Share

Room name

Backend screening

Domain

DSA

Difficulty

Medium

Time / question

45 seconds

Assessment / Test Results

Ranked attempts and room-level outcomes

Switch between Test Rooms and review total attempts, average score, top score, pass rate, correct answers, completion time, and candidate profile links.

DSA ScreeningML Engineer ScreenSQL Readiness

Total attempts24Selected room

Avg score76Across attempts

Top score94Highest attempt

Pass rate79%Threshold 60

🥇

Candidate ASubmitted today

19/20612s94

🥈

Candidate CSubmitted today

17/20588s86

🥉

Candidate BSubmitted yesterday

16/20640s82

Candidate DSubmitted yesterday

14/20702s72

Assessment / Interview Replay

Review interview sessions with context

Filter technical, HR, and stress interviews, then inspect transcript timelines, highlighted moments, filler-word signals, confidence, and category-level scores.

AllTechnicalHRStress

Candidate ATechnical · 18:42 · 8 questions

Candidate BHR · 14:20 · 6 questions

Candidate CStress · 21:15 · 10 questions

Technical interview replay 18:42

Review highlight: Strong on project depth and Python fundamentals. Hesitated on system design. Recommend follow-up architecture round.

Walk me through the most difficult engineering decision in your project.

The main trade-off was keeping the API responsive while processing long-running analysis jobs. I moved the heavy work into an asynchronous queue and stored job state separately.

Strong evidence1 filler

How did you handle failures and retries?

88Overall

79Confidence

03Fillers

08Questions

Test Rooms

From “send a test” to a complete screening workflow.

Test Rooms are not a decorative feature card. They connect room creation, question preview, controlled timing, deadlines, candidate links, automatic result capture, and ranked review.

01Configure the screen. Choose the room name, technical domain, difficulty, per-question time limit, and candidate deadline.

02Preview the questions. Review the assessment set before the room is created and shared.

03Share and review. Send one direct link, then monitor attempts, scores, pass rate, completion time, and candidate profiles.

Create Test RoomTechnical screening workflow

1. Configure2. Questions3. Share

Room nameBackend Engineer Screening

DomainDSA

DifficultyMedium · MCQ

Time per question45 seconds

Question 04 / 20Arrays · Medium

Which approach finds whether a pair with a target sum exists in an unsorted array in expected O(n) time?

Nested loopsHash-set lookupBinary search onlySelection sort

learn.placiq.in/student/take-test?room=backend-screen

Candidate AEngineering college · Backend track · Available

86Credibility score

Schedule InterviewShortlistMark PlacedSend TestEmail

Candidate intelligence

A profile with evidence, not just claims.

The current enterprise profile brings verified domain scores, a credibility breakdown, skills, project and internship counts, certifications, GitHub activity, and recruiter actions into one decision surface.

Verified domain performanceReview scored capability across DSA, machine learning, data science, AI, web development, and cloud or DevOps tracks.

Visible credibility componentsUnderstand how tests, projects, internships, GitHub, academics, and certifications contribute to the profile.

Actions remain connectedShortlist the candidate, schedule an interview, send a Test Room, update pipeline status, or open direct communication from the same profile.

Connected workflow

Discovery to decision, without spreadsheet handoffs.

Each enterprise module feeds the next step, so hiring teams can move from candidate discovery to evidence review in a coherent flow.

Discover

Search the candidate pool using domain, score, CGPA, credibility, and status filters.

Candidate SearchSortingPipeline

Match

Paste a job description and rank candidates by role-relevant keyword and profile overlap.

JD MatchingKeywordsRanking

Validate

Create a Test Room, share the candidate link, and capture technical attempts under controlled settings.

Test RoomsDeadlinesTiming

Review

Compare ranked results, inspect candidate evidence, and review interview sessions before moving the pipeline.

ResultsProfilesReplay

Private partner preview

Built in the open internally. Rolled out carefully externally.

Public enterprise signup remains closed during the controlled preview. This phase is focused on validating recruiter workflows, institution requirements, candidate visibility rules, and the end-to-end assessment experience with selected partners.

Request partner access Back to Placiq

Controlled recruiter onboardingEnterprise access is not publicly self-serve during preview.

Real workflow validationCandidate discovery, JD matching, Test Rooms, results, and review are being tested as one system.

Security-first rolloutCandidate visibility, recruiter permissions, and company-scoped activity remain part of the production hardening work.