The operating system for hiring

Write the rules.
Let hiring run
itself.

Tanznt watches your pipeline, makes the routine calls automatically, and escalates the ones you’ve reserved for a human. You set the rules in plain English — it enforces them on every candidate.

Observe → Decide → Act → Learn

Pipeline · Senior Engineer, Platform
Senior Engineer — Platform
Engineering · Remote · $180–220k
Active
APPLIED142
M. KowalskiReferred
92
J. Thompson
87
SCREENING34
P. SharmaTop 5%
95
A. Dubois
91
INTERVIEW12
S. LiuRound 2
94
OFFER3
C. WeiPending
97
● DECISION

P. Sharma matches 6/7 must-haves — inside your “auto-screen ≥ 80” rule. Auto-advanced to Screening.

A tracker records what happened.
An operating system acts.

An applicant tracker is a filing cabinet — it holds your pipeline and waits for you to work it. Tanznt reads the same pipeline and acts on it: every application, score, and stalled stage becomes a decision, routed by the rules you set.

01

Decisions, not to-do lists

Every signal becomes a decision — advance, screen, schedule, escalate. The routine calls happen on their own; the ones you flagged come to you.

02

Interviews built in, not bolted on

Live video with proctoring, structured questions, transcription, and panel synthesis — no third-party tools, no context switching.

03

It acts, then tells you

Offers drafted, candidates messaged, stages moved — inside the guardrails you set. You review outcomes, not busywork.

04

Ask it anything

Pipeline health, bottlenecks, source ROI — ask in plain English and get an answer, not another dashboard to build.

Legacy ATS vs. Tanznt
Discovery
Manual keyword search
Semantic matching across signals
Screening
Resume keyword scan
Multi-dimensional scoring
Interviews
Separate tools
Built-in video with proctoring
Offers
Spreadsheet guesswork
Calibrated comp packages
Automation
Simple if/then
Event-driven workflows
Analytics
Backward-looking reports
Ask in plain English

Velocity. Quality.
Relationships.

Every decision Tanznt makes serves one of three outcomes — speed, quality, or relationship. Most serve all three at once.

18days
Time-to-hire−32%
  • AI auto-screens applicants in seconds
  • Scheduling without the back-and-forth
  • Built-in interviews — no tool switching
94/100
Quality-of-hire+28%
  • Multi-dimensional candidate scoring
  • Structured interviews with rubrics
  • Panel synthesis, disagreement flagged
+72
Candidate NPS+40 pts
  • Talent pools that stay warm on their own
  • Personalized nurture across channels
  • Silver-medalist re-engagement

Every decision comes
with its reasons.

Every candidate is scored across skills, experience, culture signals, and growth potential — and every score shows its evidence. No black boxes, so you can stand behind the call.

PS
Priya Sharma
Senior Engineer · 8 yrs · San Francisco
STRONG MATCH
95
Overall
92
Skills
88
Culture
94
Growth
91
Retention
TypeScriptReactNode.jsPostgreSQLKubernetesGo (learning)
AI Analysis

Strong systems thinking evident in open-source contributions. Communication style aligns with team culture. Growth trajectory indicates senior+ potential within 12 months. 89% probability of accepting within offered range.

Schedule technical
Send team intro
Prep interview guide
01

Pillar-based scoring

Skills, experience, culture, and growth — each with evidence-gated signals behind the number.

02

Trajectory analysis

Career path and growth potential, read from real history, not a résumé keyword match.

03

Side-by-side comparison

Compare any candidates for any role, with contextual recommendations for the call.

04

Enrichment on intake

Résumés parsed and profiles enriched automatically the moment a candidate lands.

Explore intelligence

You write the rules.
Tanznt executes them.

The loop never stops running over your pipeline. The only thing you configure is the judgment: plain-English rules that say what happens on its own and what comes to you.

Observe → Decide → Act → Learn

Rule · auto-screenACTIVE
IFexperience ≥ 5 years
ANDdiscipline = platform engineering
ANDmatch score ≥ 80
THENauto-advance → Screening
Applied to 142 candidates today · 34 advanced · 0 escalations
01

Observe

Every application, score, reply, and stalled stage is a signal — nothing waits in a queue.

02

Decide

Each signal is judged against your rules. Routine calls resolve on their own.

03

Act

The decision is carried out — an interview booked, an offer drafted — inside your guardrails.

04

Learn

What you approve, override, or reject sharpens the next decision.

Interviews that
run themselves.

Built-in video with screen proctoring, structured questioning, live transcription, and panel synthesis. No third-party tools. No context switching.

01

Live video with proctoring

Multi-screen monitoring, screen streaming to panelists, recording with automatic transcription.

02

Generated interview plans

Tailored questions per role and candidate — follow-ups, competency mapping, and scoring guidance.

03

Panel synthesis

Scorecards aggregated with seniority weighting, disagreement flagging, and a hire recommendation.

04

Candidate mock interviews

Candidates practice before the real thing — better-prepared interviewees, less first-round noise.

Explore interviews
Technical Interview — Round 2
Senior Engineer, Platform · 60 min
REC
PROCTORED
PS
P. SharmaCandidate
DK
D. KimHiring Manager
RC
R. ChenTech Lead
Live Scorecard
Question 4/7 · System Design
System Design4/5
Coding5/5
Communication4/5
Leadership
LIVE TRANSCRIPT

“…I’d partition the data by region first, then use consistent hashing across the service layer…”

SCREEN MONITOR

2 screens detected · IDE active · No tab switches · Environment verified

Engagement Campaigns
3 ACTIVE
Q1 Engineering Outreach
Senior Engineers
234
Sent
81%
Opened
29%
Replied
12
Booked
Product Design Pipeline
UX/UI Designers
156
Sent
82%
Opened
28%
Replied
8
Booked
Leadership Nurture
VP+ Candidates
42
Sent
90%
Opened
50%
Replied
6
Booked

Build relationships
before you need them.

Dynamic talent pools, personalized outreach, and engagement scoring. Your pipeline stays warm so roles fill fast — and candidates feel valued, not spammed.

01

Pools that refresh themselves

Auto-curated and segmented, so the right shortlist is always ready before the req opens.

02

Personalized at scale

Generated messaging per candidate across email, LinkedIn, and SMS — with optimal send timing.

03

Silver-medalist re-engagement

Strong past candidates resurface automatically the moment a fitting role appears.

Explore engagement

Your hiring data,
one question away.

Skip the dashboards. Ask anything about your hiring operation in plain English — pipeline health, candidate comparisons, bottlenecks, source effectiveness — and get an immediate, data-backed answer.

01

Pipeline intelligence

“Which roles are at risk?” “Where is hiring stuck?” — answered across your whole operation.

02

Candidate discovery

“Who in our talent pool fits the new VP role?” — surface people you didn’t know you had.

03

Proactive alerts

Stalled applications, competing offers, and bottlenecks flagged before they become problems.

Ask
Ask anything about your hiring data

Which roles need attention this week?

3 roles need your attention:

Staff Engineer — Platform

Pipeline is thin: only 2 in screening. 4 strong candidates in your ML pool match 80%+.

Product Manager — Growth

2 offers pending 5+ days. Activity suggests competing offers. Recommend follow-up calls today.

Design Lead — Brand

8 interviews completed, no scorecards submitted. 3 panelists have outstanding feedback.

Show me pipeline healthCompare top candidates for Staff EngWhat needs my attention today?
Offer Package — Priya Sharma
Senior Engineer · Generated by Tanznt
COMPETITIVE
$195,000
Base Salary
75th percentile
$120,000
Equity (4yr)
Standard vest
$25,000
Sign-On
Recommended
Recommendation

Based on current compensation ($172k base), market data, and candidate signals, this package is a 13% increase with strong equity upside. Sign-on offsets unvested equity from current role. 89% predicted acceptance.

Close Risk
Low
Negotiation Room
$190k
$210k

Offers that close.
Not guesswork.

Tanznt drafts competitive packages from current compensation, market data, and candidate signals — with close-risk analysis and negotiation room, so you know exactly where you stand.

01

Packages drafted for you

Compensation calibrated to candidate history, market data, and your role band.

02

Close-risk analysis

Composite risk scoring with ownership and a checklist to close confidently.

03

Offer & pay-stub parsing

Upload a current offer or pay stub — structured compensation is extracted automatically.

04

Negotiation room

Floor and ceiling ranges, hike percentages, and rationale to guide every negotiation.

Multi-tenant isolation

Org-scoped data, role-based access

SSO authentication

Google, GitHub & LinkedIn OAuth

Full audit trail

Every action logged and traceable

Encrypted integrations

AES-256-GCM for all tokens

See it run on
your rules.

Tell us about your team and how you hire. We’ll set up your workspace and walk you through it.

Get started