PointFactors

Best gradar.com Alternative in 2026 (and How to Choose)

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Best gradar.com Alternative in 2026 (and How to Choose)

If you are evaluating gradar, you have already done the hard part: you have decided to put your job evaluation on a real, analytical footing instead of gut feel. gradar is a credible, point-factor-based grading platform with a loyal following, especially among multinational employers who need multilingual support out of the box. But it is not the only modern option, and it is not the right fit for every team. This guide gives you a working comparison of gradar and PointFactors — what each one actually does, what it costs in time and money, where each wins, and how to choose for your context. No vendor spin. Just the facts you need to make a decision you will live with for years.

TL;DR — Key takeaways

  • gradar and PointFactors are both analytical, point-factor systems — they score jobs against weighted compensable factors, then translate points into grades and pay structures.
  • gradar bundles job grading with a built-in competency library (the TMA model), job-family matching to 100+ global families, and equal-pay reporting. It is strong for multinationals that want competencies and grading in one place.
  • PointFactors is AI-native. It scores your first-pass evaluation in minutes against the four factors named in the Equal Pay Act of 1963, then lets your team edit every score and keeps a full audit trail.
  • gradar uses 25 grades across three career paths. PointFactors lets you keep or build your own grade structure rather than adopting a fixed one.
  • Pick gradar if you want a packaged competency-and-grading suite with heavy multilingual coverage. Pick PointFactors if you want speed, in-house ownership, and an audit trail your CFO and counsel can read without a translator.

What gradar is

gradar is a cloud-based job evaluation and job-architecture platform. At its core sits an analytical, point-factor grading engine: a job's requirements are compared to defined factor levels, points are taken from the level that fits best, and the totals roll up into a job score. That score maps to a grade structure of 25 grades spread across three career paths — individual contributor, management, and project management.

What sets gradar apart is the bundle around the grading engine. It ships with a built-in competency library based on the TMA model — 53 competencies organized into four levels — and automatically suggests up to seven competencies per job based on career path, grade, and job family. It includes a job-matching module covering more than 100 global job families, so grading results can be translated into the job codes used by major compensation surveys and collective labor agreements. It adds equal-pay reporting and the ability to write job descriptions in the same tool. Language packs are available out of the box at no extra cost, and gradar reports clients across a wide range of countries, which makes it a natural fit for multinationals.

In short, gradar is a point-factor platform that wants to be your one-stop job-architecture suite. If you are new to the underlying method, our explainer on the point-factor method of job evaluation is the fastest way to get up to speed before you compare vendors.

What PointFactors is

PointFactors is an AI-native point-factor job evaluation platform built for compensation teams who need defensible internal equity without a consulting engagement. It uses the same point-factor logic as gradar — score jobs against weighted compensable factors, sum the points, map to grades — but the design philosophy is different in three ways.

First, the factor set. PointFactors scores every job against the four universal compensable factors named in the Equal Pay Act of 1963: skill, effort, responsibility, and working conditions, each split into transparent sub-factors you can edit. That is a deliberate choice — it ties your internal structure directly to the language a regulator already recognizes.

Second, the AI. PointFactors reads each job description and produces a first-pass score against your factor levels in minutes. Every score is editable, so the AI accelerates the work rather than replacing your judgment. You can run fully AI-assisted, or use the AI purely as a consistency check on scores your team enters by hand.

Third, ownership. PointFactors is software your team operates in-house, with an audit trail that captures who changed what, when, and why. There is no per-evaluation consulting fee and no waiting on an external grader.

Side-by-side comparison


gradar

PointFactors

Core method

Analytical point-factor

AI-native point-factor

Factor framework

Proprietary factor levels, 25 grades

Skill, effort, responsibility, working conditions (Equal Pay Act of 1963)

Career paths

Three fixed (IC, management, project)

Configurable to your structure

First-pass scoring

Manual evaluation by your team

AI scores in minutes, fully editable

Bundled extras

TMA competency library, equal-pay reporting, job descriptions

Audit trail, AI-assisted calibration, survey mapping

Job-family matching

100+ global families to survey codes

Maps to Mercer, Radford, Ravio and others

Multilingual

Free language packs out of the box

English-first

Pricing model

Published, tiered annual SaaS (GBP)

Published SaaS

Best for

Multinationals wanting a competency-and-grading suite

Teams wanting speed, in-house ownership, audit-ready records

Method: how each one scores a job

Both tools sit in the same family. If you want the wider context, our overview of job evaluation methods and process walks through where point-factor fits among the four classic approaches.

gradar's flow is recognizably analytical. You read each factor definition, pick the level that best matches the job's requirements, and the engine tallies points and assigns a grade within one of its three career paths. The competency suggestions and survey matching then layer on top of that grade. It is a structured, manual process — thorough, repeatable, and dependent on the evaluator working through each factor for each job.

PointFactors compresses the first pass. You load your factor structure once, then feed in a job description. The AI returns a scored evaluation across skill, effort, responsibility, and working conditions, with the reasoning attached to each sub-factor. Your comp analyst reviews, adjusts, and approves. The score that matters is still a human decision; the AI just removes the blank-page problem and keeps scoring consistent across hundreds of jobs.

The practical difference shows up at volume. Scoring 75 roles by hand is a project. Scoring 750 is a quarter. AI-assisted first passes change the unit economics of large re-leveling efforts.

Evaluating more than a handful of vendors? Book a demo and we will score ten of your real roles live, so you can see the output before you commit to anything.

Speed, cost, and ownership

gradar publishes tiered annual pricing in pounds: a Starter tier (around £2,700/year for two users and grading for roughly 75 roles), a Professional tier (around £5,400/year for four users with unlimited roles), and an Enterprise tier (around £8,100/year for eight users). Pricing is published on their site and is positioned as transparent with no hidden fees — confirm current figures and currency directly with gradar before you budget. That transparency is a genuine strength, and it puts gradar well below the six-figure implementation engagements you see with legacy consulting-led methodologies like Hay/Korn Ferry and Mercer IPE.

The bigger cost question is time. With either tool you own the platform in-house, so neither carries a per-evaluation consulting charge. Where they diverge is throughput. gradar's grading is manual, so the labor cost scales with the number of jobs and the cadence of re-evaluation. PointFactors front-loads the first pass with AI, so a mid-market team (1,000–5,000 employees) typically reaches scored, calibrated jobs in two to four weeks, and a single new role is scored in minutes once the factor structure is loaded.

Neither approach is "free." The honest framing: gradar trades a low, predictable license for ongoing analyst hours; PointFactors trades software cost for far fewer analyst hours per job. Run the math on your own job count and re-leveling frequency before you decide which curve is cheaper for you.

Defensibility and pay equity

Defensibility comes from consistent application of a documented method — not from the brand on the box. Both gradar and PointFactors clear that bar when used well. gradar supports it with equal-pay reporting and a structured grade map. PointFactors supports it two ways: by mapping directly onto the four factors a regulator already names — skill, effort, responsibility, working conditions — and by capturing the full edit history automatically, so when an auditor asks "why is this job graded here?" the answer is one click away.

If you are building toward a pay-equity program, the factor framework matters. Anchoring your structure to Equal Pay Act language shortens the explanation in an EEOC or state-level review because you are speaking the regulator's vocabulary from the start. Both tools can withstand audit; PointFactors just shortens the documentation step.

Where each one wins

Choose gradar if you are a multinational that needs free, high-quality multilingual coverage; you want a built-in competency library tied to grading; or you value having job descriptions, competencies, equal-pay reporting, and grading in a single packaged suite. gradar's breadth is its selling point.

Choose PointFactors if your job catalog is changing fast and you need to re-level in weeks, not quarters; you want AI to handle the first-pass scoring while your team keeps final judgment; you want your structure tied to Equal Pay Act factors for audit defensibility; or you want an automatic audit trail your CFO and counsel can read directly. PointFactors' speed and transparency are its selling points.

For a fuller map of how point-factor stacks up against ranking, classification, and factor-comparison approaches, see our breakdown of the four methods of job evaluation.

How to choose

Make it concrete. Pull ten representative jobs — a mix of individual contributor, manager, and a hard-to-place hybrid role. Score them in both tools. Then ask four questions. How long did the first pass take? Could a second analyst reproduce the result? When you change a score, is the reason captured? And when you map the grades to your survey data, do the bands hold together?

The tool that answers those four questions best for your team, at your job volume, is your answer. For most comp teams the decision comes down to a simple trade: gradar's packaged breadth versus PointFactors' speed and audit-ready transparency. Both are real point-factor systems. Both will give you a defensible structure. The difference is how much analyst time it costs to get there and how easy it is to explain later.

FAQ

Is gradar a point-factor system? Yes. gradar is an analytical, point-factor-based job grading platform. It compares each job to defined factor levels, sums the points, and maps the total to a grade structure of 25 grades across three career paths.

What is the best gradar alternative? It depends on what you value. If you want AI-accelerated first-pass scoring, in-house ownership, and an automatic audit trail tied to Equal Pay Act factors, PointFactors is the closest modern alternative. If you need heavy multilingual coverage and a bundled competency library, gradar may still be the better fit.

How much does gradar cost? gradar publishes tiered annual pricing in pounds — roughly £2,700/year for a Starter tier, £5,400/year for Professional, and £8,100/year for Enterprise, scaling by user count and number of roles. Confirm current figures and currency directly with gradar, as published pricing can change.

Does PointFactors use the same method as gradar? Both are point-factor systems, so the underlying logic — score against weighted factors, sum, map to grades — is the same. The differences are the factor framework (PointFactors uses the four Equal Pay Act factors), AI-assisted first-pass scoring, and an automatic audit trail.

Can I migrate from gradar to PointFactors without losing my grades? Yes. We typically import your existing grades as a calibration baseline, then evaluate new and changed roles in PointFactors going forward. You keep your institutional history and avoid re-evaluating every job on day one.

Will my grades still map to compensation survey data after switching? Yes. Point ranges map cleanly to grade structures, and grade structures map to survey levels. PointFactors customers routinely blend Mercer, Radford, and Ravio data without issue.

Is one tool more defensible in a pay-equity audit? No tool is inherently more defensible — consistent, documented application is what withstands an audit. PointFactors shortens the documentation step by tying your structure to Equal Pay Act language and capturing edit history automatically.

Do I need AI to use PointFactors? No. The AI runs the first-pass scoring against your factor levels, but every score is editable and your team makes the final call. You can also use the AI purely as a consistency check on manually entered scores.

Choosing a job evaluation platform is a long-term commitment, and the cost of switching later is real — re-leveling jobs, re-explaining grades to employees, re-anchoring to market data. gradar has earned its place, especially for multinationals that need multilingual breadth and a bundled competency library. For organizations whose job catalog is changing, whose timeline is measured in weeks rather than quarters, and whose comp team wants AI-accelerated scoring with an audit trail anyone can read, PointFactors offers the same point-factor rigor with modern speed and transparency. Book a demo and we will evaluate ten of your roles live, so you can see the output side-by-side with whatever you use today.

Justin Hampton is the founder and CEO of PointFactors, an AI-powered point-factor job evaluation platform built for compensation teams who need defensible internal equity without a consulting engagement.