Moxace

AI-Built Glassdoor Clone

Glassdoor Clone App Development

An AI-first build of every transparency mechanic: moderation screening that protects content trust, salary outlier detection that keeps ranges honest, and sentiment analysis that turns reviews into insight employers pay for. Three synced panels ship white-label with 100% source code. The almost-ready AI build goes live in 6 working days; a custom build takes 3 to 4 weeks.

Launch-ready from

$2,499

  • Live in 6 working days
  • 60 days support
  • Complete source codes
  • Complete rebranding
  • White-labeling
  • 1 year free updates
Glassdoor Clone App platform preview
  • Synced panels

  • Almost-ready AI launch

  • Custom build

  • Source-code ownership

Trusted by the brands we build for

  • Etihad
  • Heineken
  • Marvel Studios

Track record you can verify

Canonical Moxace facts behind every build.

  • /01
    2010
    Operating Since
    15+ years shipping apps
  • /02
    9,000+
    Projects Delivered
    across 35+ industries
  • /03
    3,900+
    Apps Published
    in 25+ countries
  • /04
    90+
    Ready Platforms in Catalog
    live in production

overview

What is a Glassdoor-style review platform?

An employer review platform is a community where current and former employees anonymously review companies, report salaries, and describe interview experiences, and where job seekers research employers before applying. The Glassdoor-style model pairs user-generated transparency content with job listings and employer branding products.

The purpose is to inform job decisions with data workers cannot get anywhere else, and the business logic follows the audience: review traffic converts to job applications, and employers pay to claim profiles, respond publicly, and present their brand to candidates who are already researching them.

A complete build includes the member app, an employer panel for claimed companies, and an admin console, over a moderation pipeline, salary bucketing with outlier suppression, and anonymous identity architecture that keeps review authorship protected.

Employer transparency content has become a standard part of job research in most professional markets, and review platforms persist across industries, geographies, and seniority levels. Treat market figures as directional; the structural point is that content trust, not feature count, is the entire product, and trust is an engineering property.

Main features of our Glassdoor-style platform

The headline layer above the per-panel detail.

Anonymous by architecture

Reviews and salary reports are stored decoupled from member identity, with one-way hashing, so anonymity survives scrutiny.

Salary bucketing

Submitted salaries normalize into role, seniority, and city buckets with outlier suppression, so one bad entry cannot skew a range.

Moderation pipeline

Automated policy screening plus a human review queue with reports and appeals, auditable end to end.

Verified employer claims

A claim workflow that verifies company ownership before employers access response and branding tools.

Interview experience reviews

Role-specific interview questions and process descriptions that attract candidates in active job search.

Company following

Push alerts on new reviews and openings for followed companies, driving repeat sessions.

Job search integration

Listings shown alongside ratings and salary bands, converting research sessions into applications.

Who should launch an employer review platform?

What these buyers share: an audience that researches employers, and the intent to own the trust layer they read.

Vertical and regional founders

Build the transparency layer incumbents ignore for an industry or region, with moderation tooling that protects the trust from day one.

HR-tech companies

Add community content that feeds your existing recruiting products, with salary data as the proprietary asset competitors cannot scrape.

Professional associations and unions

Run member-driven review platforms in your sector, where the community already trusts the messenger.

Careers media brands

Convert workplace audiences into a data asset, with sentiment analysis making the content quotable and advertisers interested.

Job boards seeking differentiation

Pair listings with reviews, because research content is what brings candidates back between application cycles. Pairs naturally with our Indeed-style job board.

Feature panels of your Glassdoor-style platform

Three products, one transparency community. Every panel ships in every build.

module

Member app

The community experience that generates your content moat.

  • ✓Anonymous employer reviews
  • ✓Salary submission by role and city
  • ✓Interview experience reviews
  • ✓Company photo galleries
  • ✓Job search with company context
  • ✓Bookmark and follow companies
  • ✓Review helpfulness voting
  • ✓Profile and contribution history
  • ✓Push alerts on followed companies
module

Employer panel

Branding and response tools for reviewed companies.

  • ✓Claimed company profiles
  • ✓Employer branding pages
  • ✓Respond to reviews publicly
  • ✓Sentiment-tagged review analytics
  • ✓Salary and rating analytics
  • ✓Review invite campaigns
  • ✓Job posting integration
  • ✓Benefit and culture showcases
  • ✓Team seat management
module

Admin panel

Trust is your product; moderation is how you keep it.

  • ✓Company record management
  • ✓Claim verification workflow
  • ✓Moderation queue with screening assist
  • ✓Salary outlier detection
  • ✓Duplicate employer merging
  • ✓Content policy rule engine
  • ✓Report and appeal handling
  • ✓Category and taxonomy tools
  • ✓Revenue reporting

The admin control plane: running trust as an operator

Four consoles, one view of companies, moderation, and money.

module

Companies console

Company record management with duplicate employer merging, the claim verification workflow, and profile oversight across the two-sided engine.

module

Moderation console

The moderation queue with screening assist, content policy rule engine, report and appeal handling, and audit trails on every action proving good-faith process.

module

Data console

Salary outlier detection and bucket administration, fake-review pattern monitoring, and category and taxonomy tools keeping the corpus searchable.

module

Revenue console

Employer package and subscription administration, featured-placement sales, recruitment analytics upsells, and revenue reporting for finance.

How a review platform works: contribution to job search

The community loop that turns anonymous insight into job traffic.

01

Contribution submitted

A current or former employee submits a company review, salary report, or interview experience, verified against employment details.

02

Moderation review

Submissions pass automated checks and a human queue against community guidelines before anything publishes.

03

Content published

Approved reviews and salaries appear on the employer profile, aggregated into ratings and percentile ranges.

04

Employer responds

The company posts a public response and can claim the profile to add facts, branding, and open roles.

05

Job seeker researches

Candidates read reviews and salary bands alongside listings, then apply to the company's open jobs in the same session.

06

Employer sees the value

Profile traffic, application volume, and brand ratings become the renewal argument for the employer's subscription.

AI inside the platform

Five model-driven systems working the same content stream. Each ships pre-tuned for review platforms and sharpens as your data compounds.

Moderation screening

Pre-screens every submission for policy violations, defamation risk, and manipulation patterns before the human queue sees it.

Reads

Review text, submission metadata, account and report history

Changes

A review queue your team can clear without letting bad content through

Salary outlier detection

Catches implausible salary entries before they skew published ranges, keeping the data employers and candidates both rely on honest.

Reads

Submitted salaries, role and city context, distribution shapes

Changes

Salary bands candidates trust and employers cannot game

Review sentiment analysis

Tags reviews by theme, from management to compensation to culture, so employer analytics pages sell themselves.

Reads

Review text, ratings, theme co-occurrence

Changes

Employer subscriptions with analytics worth paying for

Fake-review detection

Learns coordinated-submission and incentivized-review patterns so your ratings survive the first attempt to game them.

Reads

Submission timing, account graphs, review similarity

Changes

Ratings that hold up under employer and candidate scrutiny

Personalized company feeds

Ranks the companies and reviews each member sees from their industry, role, and follow graph.

Reads

Browsing history, follows, role and location signals

Changes

Deeper sessions and more contributions per member

platform concepts

Concepts that run a review platform

Moderation is the product. Contributions move through submitted, screened, approved, disputed, and removed states, with automated checks catching patterns and a human queue handling the rest, because one fabricated review can cost the platform its entire value proposition.

Anonymity and verification have to coexist. Identities are verified against employment records but never exposed, and aggregated salary data publishes as ranges and percentiles rather than raw entries, which is what keeps contributions honest and contributors safe.

The employer profile is the two-sided engine. Community content attracts job seekers, job traffic attracts employers, employer subscriptions fund moderation, and each side's behavior is the other's supply, so the loop only works if both halves ship together.

How your review platform earns

01

Employer branding subscriptions: claimed profiles, branded pages, and response tools sold as monthly packages.

02

Job postings on top of review traffic: companies with strong ratings buy visibility to hire from their own pipeline.

03

Featured placement: homepage company spotlights and category sponsorships.

04

Recruitment upsells: analytics reports on how a company's ratings and salary data compare to its market.

05

Every package and rate is admin-configurable, so you can price by company size or market without engineering time.

Feature groups that decide whether the corpus stays trusted

Four groups, each mapped to the part of the review promise it protects.

module

Moderation pipeline

Contributions moving through submitted, screened, approved, disputed, and removed states, automated checks catching patterns, fake-review detection learning coordinated campaigns, and audit trails proving good-faith process.

module

Anonymity with verification

Identities verified against employment records but never exposed, submissions stored decoupled from member identity, and employer-side tools seeing only the content and metadata you allow.

module

Salary intelligence

Submitted salaries normalized into role, seniority, and location buckets with statistical outlier suppression, market ranges for employers, and distribution context for members.

module

Employer Two-sided engine

Claim workflows converting unclaimed companies into the funnel, claimed profiles with response tools and branded pages, job postings riding review traffic, and analytics upsells comparing ratings to market.

insight

The market numbers behind the review platform opportunity

Employer review platforms compound on job-board economics: employer branding and recruitment spend keeps compounding past the forty-billion-dollar mark globally by 2030 on widely published forecasts, and review traffic converts to job applications naturally, which is why the two-sided loop funds moderation.

The engineering wedge is moderation and anonymity: one fabricated review can cost the platform's value proposition, and anonymity guarantees have to live in the schema rather than in policy. Operators who ship both earn employer subscriptions on trusted traffic. The revenue table below quantifies the lines.

Revenue lines, typical ranges, and what sets each ceiling

Six monetization lines across the platform, quantified against published industry benchmarks. Every rate is admin-configurable; the figures here are modelling inputs, not projections of your platform's earnings.

analysis
CriteriaRevenue lineHow it is chargedTypical rangeWhat sets the ceiling
Employer branding subscriptionsClaimed profiles, branded pages, response toolsPlans commonly $200 to $2,000+ per monthCorpus trust. Plans hold while reviews stay credible
Job postingsPostings sold on top of review trafficPostings commonly $100 to $500+ eachTraffic quality. Postings scale while the loop stays two-sided
Featured placementHomepage spotlights and category sponsorshipsPlacement commonly $500 to $5,000+ per monthEditorial integrity. Placement sells while ratings stay honest
Recruitment analyticsReports comparing ratings to marketReports commonly $200 to $2,000+ per monthData depth. Analytics scale while salary buckets stay rich
Claim funnel conversionsClaimed-profile upgrades per companyConversions commonly 5% to 15% of claimed companiesClaim quality. Conversions hold while the workflow stays easy
White-label deploymentsBranded instances for niche operatorsDeployments commonly $10,000 to $100,000+Vertical demand. Deals close while per-tenant config stays cheap

Every build ships with

Standard inclusions on every engagement, almost-ready or custom. Nine things you never have to ask for.

  • 100% source code, full IP

    The complete unencrypted codebase transfers to you, with documentation and deployment scripts.

  • White-label branding

    Your logo, colors, and store accounts across every panel, plus branded customer communications.

  • Store submission and launch

    App store and Play Console submissions handled end to end, with production monitoring switched on.

  • Payment integrations

    Stripe, PayPal, and regional gateways configured for employer subscriptions and featured-placement billing.

  • AI models Pre-tuned

    Moderation screening, outlier detection, and sentiment analysis arrive configured for review platforms, not as raw APIs.

  • Multi-language and Multi-currency

    Languages, currencies, and tax display configured for your markets during the launch window.

  • Scalable cloud infrastructure

    Containerized services on AWS or Azure with autoscaling and queue-backed intake for peak traffic.

  • Admin analytics and reports

    Operational dashboards, finance reconciliation views, and CSV exports so your team starts informed on day one.

  • Post-launch support and updates

    Included support window plus product updates covering bug fixes, OS compatibility, and version upgrades.

Technology inside the platform

Anonymity, accuracy, and scale are the hard parts. That is where we spend the effort.

/01

Anonymous identity

Review and salary submissions decoupled from member identity with one-way hashing, so trust in anonymity survives legal scrutiny.

/02

Salary bucketing

Submitted salaries normalize into role, seniority, and city buckets, with outlier suppression so a single bad entry cannot skew a range.

/03

Moderation pipeline

Automated policy screening plus a human review queue with appeal handling and full audit trails.

/04

Cloud infrastructure

Containerized services on AWS or Azure. For custom moderation and trust tooling, see our AI governance consulting practice.

/05

Integrations

Payment gateways, email and push providers, job-feed imports, and analytics exports ship as configured integrations, so the platform plugs into the tools your operations already run on.

/06

Security and compliance

Role-based access, personal-data protection with right-to-erasure workflows, append-only audit logs, and encrypted traffic and secrets come standard, so member-privacy questions have answers before they are asked.

Launch timeline: first review in 6 working days

The almost-ready AI build, day by day. Store review times can add a short buffer outside our control.

pipeline
  1. 01

    Days 1-2: scoping and branding

    Markets, content policy, and employer package pricing locked with a written scope, and your identity applied across all three panels.

    ✓ step 01 complete
  2. 02

    Days 3-4: configuration and integration

    Payment gateways, moderation rules, salary buckets, and languages configured and tested against your live accounts.

    ✓ step 02 complete
  3. 03

    Days 5-6: supply onboarding and pilot

    Employer records and taxonomy imported so early users review real companies, then a full pilot: submit, moderate, claim, respond.

    ✓ step 03 complete
  4. 04

    Days 7-9: store review and go live

    App store submissions with review buffers accounted for, production monitoring on, and full launch with post-launch support and product updates included.

    ✓ step 04 complete

Almost-ready AI launch or custom build: the honest comparison

Both tracks ship the same trust core. The difference is time, price structure, and how much you want to change.

analysis
CriteriaAlmost-Ready AI LaunchCustom Build
Time to live6 working days from branding handoff3 to 4 weeks, scoped before work starts
PricingFixed written quote after a short scoping call, no hourly meterEstimated per module after the discovery call
Source code and IP100% ownership on delivery100% ownership on delivery
AI layerDispatch, forecasting, and personalization pre-tuned for the verticalAI services designed around your workflows and data
Content policyProven moderation and anonymity architecture configured on day onePolicy engine and trust tooling designed around your community rules
Best forOperators who want to launch this quarterTeams with bespoke workflows or a unique model
After launchPost-launch support and product updates includedPost-launch support and product updates included
$ moxace launch --now

Walk the trust loop before you commit.

Book a walkthrough and we will demo submission, moderation, and the employer claim flow on a live build, then send the written scope.

launch.sequence3 steps
  1. 01

    Share your idea

    a quick call, no deck required

  2. 02

    See the live demo

    every screen, admin to user

  3. 03

    Launch with source

    full code, your brand, your servers

What moves your quote

No two launches price the same. These are the factors that shape the written quote you receive after scoping.

module

Scope of customization

The almost-ready AI build covers the proven feature set. Custom trust policies, employer analytics products, or multi-market taxonomies add scoped estimate work.

module

Markets and categories

Company taxonomies, language packs, and salary bucketing are configured per market. Adding markets means more configuration, never a rebuild.

module

Integrations

Payment gateways, job feeds, and notification providers are wired during the build, and each integration is estimated individually.

module

AI tuning depth

Out of the box, moderation screening, outlier detection, and sentiment analysis are pre-tuned for review content. Training models on your historical content is an optional, separately scoped workstream.

Add-on modules that deepen the platform

Extend the Glassdoor-style build once the core trust loop is running.

module

Interview experiences module

Interview-process reviews with role-specific questions, the contribution type job seekers value most before applying.

module

Benefits insights pack

Structured benefits data per employer with comparison views, the intelligence HR buyers purchase.

module

Employer response analytics

Response-rate and sentiment reporting for claimed employers, the dashboard that renews subscriptions.

module

Salary negotiation tools

Offer-comparison and negotiation-context features for members, deepening engagement around the salary corpus.

module

Job board integration

Native posting flow connecting review traffic to applications on the same codebase family, closing the two-sided loop.

module

White-label review reseller

Deploy the platform for industry-vertical operators under their own identity, with per-tenant moderation and claim configuration.

/21

Why choose our Glassdoor-style build

Community platforms live or die on trust engineering.

Trust by design

Anonymity, verification, and appeal flows are engineered into the data model, not patched on after your first legal complaint.

Cold start ready

Company seeding, taxonomy, and employer claim workflows are built for the empty-launch problem every review site faces.

Full ownership

100% source-code transfer with no revenue share, refined across 9,000+ delivered projects.

Hiring adjacency

Review traffic converts to job applications naturally. Pair this platform with our Indeed-style job board on the same codebase family.

Proof from platforms we have shipped

Canonical deployments from our own portfolio. Metrics are reported from live platforms, not projections.

Flyereats

A high-volume two-sided platform proving content and fulfillment cores stay reliable at scale, from the same discipline.

2M+
Orders Delivered
32%
Faster Dispatch

Etihad Airways

A high-traffic consumer platform our team ships and operates, the standard every consumer engagement is measured against.

1M+
Monthly Users
40%
Engagement Lift

Frequently asked questions

It depends on scope. The almost-ready AI build is quoted as a fixed price after a short scoping call; custom trust requirements and employer analytics products are estimated per module. Share your market and policy needs and we will send a written quote.

Security and integrity

Tap a card to see how the platform defends its trust.

flip

One Fake Review Never Pays

detail

Contributions move through screened, approved, disputed, and removed states with automated pattern checks and a human queue, because one fabricated review can cost the platform its entire value proposition.

flip

Anonymity Lives in the Schema

detail

Submissions store decoupled from member identity and employers only ever see the content and metadata you allow, so anonymity is a design constraint rather than a policy promise.

flip

Verified but Never Exposed

detail

Identities verify against employment records without exposure, keeping contributions honest and contributors safe at the same time.

flip

Salaries Publish as Ranges

detail

Submitted salaries normalize into role, seniority, and location buckets with outlier suppression, so aggregations inform without exposing anyone.

flip

Every Action Leaves a Trail

detail

Audit trails on every moderation decision demonstrate good-faith process, the record defamation law and regulators both ask for.

flip

The Loop Funds Itself

detail

Community content attracts seekers, traffic attracts employers, and subscriptions fund moderation, so each side's behavior is the other's supply.

Frequently asked questions

Identities verify against employment records but never expose, submissions store decoupled from member identity, and employer-side tools see only the content and metadata you allow, so anonymity is a schema constraint rather than a promise.

the process

What to expect from us during delivery

You begin with a discovery call covering your market, content policy, and employer package pricing, followed by a written quote. Once you approve, you hand over your brand assets and we configure the platform: your identity across all three panels, your moderation rules, salary buckets, and packages. The almost-ready AI build goes live in 6 working days; a custom build takes 3 to 4 weeks, planned with you up front.

After launch, 60 days of included support and 12 months of updates cover the content-policy questions that surface with your first disputes. The first 90 days are a cold-start phase: seeding company records so early users review real employers, moderating actively to set the tone, and signing up the first claimed companies whose subscriptions fund the moderation. Platforms in this category live or die on trust in the content, so expect moderation discipline to matter more than growth tactics.

Live in action

See It Live Before You Talk to Us

Open the web app, sign in with the printed demo credentials, or install the Android build — no signup, no sales call. What you see is what you launch.

live

Admin Panels

  • Company
  • Price Plan
  • Order

Access: Provided on a guided call

$ moxace launch --now

Build the review platform your market is missing.

Book a free consultation and get your launch plan.

launch.sequence3 steps
  1. 01

    Share your idea

    a quick call, no deck required

  2. 02

    See the live demo

    every screen, admin to user

  3. 03

    Launch with source

    full code, your brand, your servers

Independent Build

Moxace is an independent software development company. We are not affiliated with, sponsored by, or endorsed by Glassdoor.

Why This Name

The phrase “Glassdoor clone” is used descriptively. It is how the software industry refers to building a platform with similar functionality, and how buyers search for one.

Who Built This

The design and codebase are built entirely by our in-house team. Nothing is taken from the Glassdoor website, applications, or brand assets.

Trademarks

Glassdoor and all third-party names and marks remain the property of their respective owners, referenced here only to describe the category of software we build.

Read the full legal notice on our disclaimer page.