Quantified pricing, features and alternatives

Quantified is worth buying when reps have to rehearse approved messaging before a regulated conversation, and worth skipping when your coaching starts from recordings of calls that already happened. It publishes no pricing, so the first number you see is a quote scoped by user count and by which modules you take: roleplay, readiness certification, field coaching and compliance scoring. Practice sessions are scored for adherence as well as selling skill, and that is the whole point of the product.

By·LinkedIn·Editorial Lead·Reviewed ·Pricing checked against Quantified's website·How we review software

The short answer

Buy Quantified if you run enablement or training in pharma, medical devices, financial services or insurance, where reps need many practice repetitions and every conversation has to stay inside approved claims. It names Novartis, Sanofi, Bayer, Johnson & Johnson and Takeda as customers, integrates with Salesforce, Veeva and LMS platforms, and reports SOC 2 Type II compliance as of June 2026 on its About page.

Skip it if your main need is reviewing and coaching real calls, which is a conversation intelligence job rather than a practice one: Gong is the comparison to run there. Skip it too if you are a small team that wants self-serve pricing and a fast start, or if your approved messaging changes weekly and nobody owns scenario upkeep, because a stale simulation drills reps on the wrong script.

Where Quantified fits

Quantified (quantified.ai) is an AI sales coaching and roleplay platform. Reps practice conversations with AI buyer avatars, get scored feedback, and managers track readiness before anyone talks to a real customer. The company was founded in 2012 by Noah Zandan and Peter Zandan, its legal entity is still Quantified Communications, Inc. according to its About page, and it launched AI Roleplay in 2022. So the roleplay product is newer than the company, which matters when you ask for references: ask for ones on the AI product, not on the older communications analytics work.

The thing that separates it from general practice tools is regulated selling. Quantified positions itself first for life sciences, then financial services and insurance, and the compliance layer follows from that: sessions are scored both for selling skill and for adherence to approved messaging, with audit-ready records for governance teams. If your reps can lose the company a fine by saying the wrong thing about a product, that scoring is the feature you are buying. If they cannot, it is overhead you would be paying for.

Reps practice against AI buyers built around your products and personas, and Quantified offers self-authoring tools so teams can build simulations from approved content rather than filing a request with the vendor every time a claim changes. That is the difference between a platform your enablement team runs and a services engagement, so confirm in the contract which one you are getting. Ask what the scoring criteria are and whether they can follow your own methodology and your approved claims, because generic selling-skill scores will not survive contact with a medical affairs review.

On the manager side, you get reporting on readiness, proficiency and adherence, plus pre-call and post-call coaching tools. Integrations cover Salesforce, Veeva and LMS platforms, which is the stack most life sciences commercial teams already run, so the useful question is which direction data flows and at what level of detail: a certification pass or fail in the LMS is a different thing from per-question scoring in Salesforce. Most buyers here hire or retrain reps in cohorts around a launch, and the practical fit test is whether a cohort can be certified before field release.

One name check before you shortlist it. Quantified IT is an unrelated managed IT services company in West Palm Beach, Florida, and there is also a Quantified wearables and fitness-tech channel. The product on this page is the sales training software at quantified.ai, and it sits with the rest of the category in our sales coaching software guide.

Quantified pricing

Quantified does not publish pricing. There is no plan table, no per-seat rate and no self-serve tier, so expect an enterprise quote built from users and modules, and expect it to arrive after a scoping call rather than before one. That is normal for this corner of the category, and the four alternatives below mostly do the same, so a quote-only vendor is not by itself a reason to walk away. It does mean you cannot sanity-check a price without a competing quote in hand.

Four things move the number, and all four are worth pinning down in writing before you see it:

  1. User count, and how the price steps as you add teams or countries. Launch cohorts are lumpy, so ask what happens when 60 reps become 200 for a quarter and then drop back.
  2. Which modules you take. Roleplay, readiness certification, field coaching and compliance scoring are described as separate capabilities, so establish which of them your quote covers rather than assuming the demo you saw is the package you are buying.
  3. Whether self-authoring of simulations is included, or whether professional services build your initial scenarios. This is the single biggest swing in year-one cost and in how dependent you stay on the vendor afterwards.
  4. Integration scope across Salesforce, Veeva and your LMS, including whether those connectors are standard or quoted as implementation work.

Roleplay tools are usually funded from enablement or training budgets rather than from RevOps, so build the case on ramp time and on the cost of one non-compliant conversation, which is the problem Quantified is built around. Quantified reports that customers see 40% faster time to readiness: treat that as a vendor figure and make the pilot the place you find out whether it holds for your cohort. Our sales tool business case template is where those two numbers belong, and how we review software sets out what we check and what we do not.

What Quantified gives up

You give up a price you can evaluate on your own. No published rate and no self-serve plan means a small team cannot test the product without entering a sales cycle, and you cannot tell whether the quote you get is the quote a similar buyer got. Ask for references at your own size and in your own industry, not for the flagship logos.

You give up a product that maintains itself. The value of scored practice depends entirely on the simulations matching the conversations reps are having, and approved messaging moves. Someone on your side has to own scenario upkeep, and if that person is not named before you sign, the platform quietly decays into a library of last year's objections.

You give up a thick layer of third-party evidence. Public review volume is modest; G2 reviewers mention ease of use and personalized feedback, which is encouraging but thin ground for a six-figure decision. Weight the pilot accordingly, and weight customer references in your own vertical higher than the review score.

You give up coaching on real conversations. Quantified is built around rehearsal and certification before the call, not around what happened on the call. Teams that want both usually run a conversation intelligence tool alongside it, which is a second line in the budget rather than a feature you can negotiate into this one.

How Quantified compares

The split that decides this shortlist is whether you are buying practice or playback. Quantified and Second Nature sell rehearsal: reps talk to an AI buyer before they talk to a customer. Mindtickle and Allego wrap practice inside broader enablement, training content and readiness tracking, which is the right shape if you are replacing an LMS as well. Gong sits on the other side of the line entirely and coaches from recordings of real calls. None of the four publishes a rate, so a like-for-like price comparison is impossible until you hold quotes, and the column below says so rather than guessing.

ToolBest forPriceWhere it breaks
QuantifiedRegulated enablement teams certifying reps on approved messaging before field releaseCustom quote; priced by users and modulesNo self-serve route, and value drops fast if nobody owns keeping simulations current
Second NatureThe closest head to head on AI roleplay itself, without the compliance framingCustom quoteLess of the governance and audit apparatus regulated buyers are shopping for
MindtickleTeams that want readiness tracking and training content around the practiceCustom quoteA bigger platform to roll out, so practice is one workstream in a larger program
AllegoVideo coaching and content delivery alongside roleplayCustom quoteBroad surface area, so compliance scoring depth needs checking against your claims process
GongCoaching that starts from the calls reps already hadCustom quote; per-user licenses plus a platform feeDoes nothing for a rep who has not been certified yet, which is the gap Quantified fills

What to test in a Quantified trial

There is no self-serve trial to sign up for, so the test you want is a paid or scoped pilot with one real hiring or launch cohort. Run it against the cohort before it, because the comparison that persuades a budget holder is two cohorts, not a demo.

  1. Ask Quantified to build one simulation from your approved content, your personas and your real objections before the pilot starts, and note how long that took and who did the work. That timing is your answer on self-authoring.
  2. Put experienced reps through that scenario first and ask them how close the AI buyer is to the customer they met last week. Reps will tell you within one session whether the practice is realistic, and they will not use it if it is not.
  3. Get the scoring criteria in writing and map them to your methodology and approved claims. Then have one session scored by Quantified and by a human coach and compare the two.
  4. Confirm exactly what syncs to Salesforce, Veeva and your LMS, at what level of detail, and who can see it. Decide now whether a compliance score is something managers coach against or something that follows a rep around.
  5. Certify the pilot cohort, then compare their certification scores and early field performance with the previous cohort's. That difference is the business case, and our sales coaching one on one template keeps the manager conversations consistent enough to be comparable.
  6. Ask to speak with customers in your industry at your size, and ask them who owns scenario upkeep internally and how many hours a month it takes.

Quantified questions buyers ask

What is Quantified used for?

AI sales roleplay and coaching, so reps practice conversations with scored feedback before live calls. It is aimed at regulated industries such as life sciences, financial services, and insurance.

Is Quantified the same company as Quantified IT?

No. Quantified IT is a managed IT and cloud services provider based in West Palm Beach, Florida. Quantified (quantified.ai) is a sales training company that sells AI roleplay and coaching software. The two are unrelated.

Who is Quantified.ai built for?

Enablement, training, and commercial excellence teams in pharma, medical devices, financial services, and insurance. The product is built around practicing approved messaging and proving rep readiness, which matters most where conversations are regulated.

How much does Quantified cost?

As of September 2026, Quantified does not publish pricing. Expect a custom enterprise quote based on users and modules.

Is there a free trial for Quantified?

No self-serve trial is advertised. Ask for a pilot with one cohort, which is the most useful test anyway.

Who are the main competitors to Quantified?

Second Nature is the closest roleplay comparison. Mindtickle and Allego cover broader enablement and coaching.

How is Quantified different from call recording tools?

Call recording tools coach from real calls after they happen. Quantified focuses on practice and certification before calls. Many teams use both.

Who founded Quantified?

Noah Zandan and Peter Zandan founded the company in 2012, per Quantified's About page. It began as Quantified Communications, which remains its legal entity name.