Meet Vera AI VendorBenchmark is now Vera AI, the platform named after your analyst. Same buyer side numbers, same team. See what changed →
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Benchmarking

Enter your net price. See where you stand in minutes.

Every benchmark runs against reference cohorts of modelled deal cohorts across 1,140 vendors, adjusted for deal size, region, industry, and signing period. Not survey data, not list-price math, not a vendor rep telling you what is typical.

1,140
vendors covered, with bespoke tools for the flagships
Modelled cohorts
reference cohorts modelled from researched pricing anchors, not surveys
k=5
anonymity floor on every contributed datapoint
app.vendorbenchmark.com/benchmarking/microsoft-ea
Microsoft EA benchmark showing market low, median, and high with your rank against the peer range
Every dot is a cohort data point. Your contract is the highlighted point.
The problem

The vendor knows exactly what every comparable company paid. You know what you paid last time. That asymmetry is the whole game, and it is why a rep can call a 12% discount generous when the market clears at 40%. Benchmarking closes the gap on your side of the table.

How it works

From a net price to a defensible position, in one sitting.

Three ways in, all reading the same living data layer.

Instant self-serve
A verdict in minutes

Enter net price and deal size and see your standing against the cohort immediately. Bespoke tools for Microsoft EA, Oracle ULA, Salesforce, SAP RISE, and other flagships handle their real pricing units.

Analyst benchmark
An analyst reads the whole deal

On Enterprise, a VendorBenchmark analyst reviews your pricing and terms against the cohort and delivers a written report: your standing, where to improve, the risks in the paper, and a clear target number.

Portfolio benchmark
Your whole stack at once

Every saved scenario replayed against today’s market, so you see which contracts fund your savings target and where you sit above the median, priced per year.

The Benchmark Case
What now, answered

Every benchmark opens a case file that ends with twenty plus moves on its own numbers: six Vera-drafted emails, negotiation briefs as executive PDFs, a 30 day share link, and alerts on your saved position.

The AI underneath

The AI reads the deal. The cohort keeps it honest.

The rank is math on real data, never a guess. The AI sits on top: it reads your contract to pull the fields that make the comparison fair, writes the analyst-grade narrative around the number, and drafts the next move. Every figure it prints is grounded in stored data and citation-tagged.

Field extraction
It reads the paper for you
The AI pulls net price, units, term, region, and signing period from an uploaded contract so the benchmark compares like for like, not headline to headline.
Grounded narrative
The verdict, written
It interprets the standing in analyst voice: where the leverage is, what a strong outcome looks like, and what to do first. Every number traces back to the cohort.
Watched positions
It keeps looking after you leave
Save a run and the market is watched for you. When a comparable deal or a list-price move shifts your standing, an alert lands with the new number attached.
Models Claude Opus 5, every job from flagship deliverables to interactive chat and bulk triage Voyage AI + pgvector, semantic search indexed nightly
How it's built

A benchmark is only as good as what feeds it.

The number is defensible because of how the data underneath is built and governed.

1
Reference cohorts of modelled deal cohorts

Your rank is computed against modelled comparable deals, normalized for deal size, region, industry, and signing period, so a small mid-market deal is not benchmarked against a global enterprise agreement.

2
A verified give-to-get layer, the Outcome Network

Contribute one anonymized outcome and unlock the realized uplift peers actually paid. Salted keys and a k=5 floor keep every contribution anonymous, and the metric is realized uplift, not a headline discount claim.

3
Analyst grading before anything moves a benchmark

Contributed datapoints are graded by analysts before they influence the cohort, so one bad number cannot skew the market you are measured against.

4
A citable Software Price Index

A quarterly, versioned index with a public and keyed API, so you can reference a fixed, dated figure in a board paper without it shifting under you.

5
Tenant isolation at the database

Your contracts and saved scenarios live behind Postgres row-level security, so your numbers feed your view and never leak into anyone else’s cohort or account.

Outcome Network verified realized-uplift datapoints
The Outcome Network: analyst-graded realized uplift under a k=5 anonymity floor.
Portfolio benchmark ranking the whole stack against the market
The portfolio benchmark ranks your whole stack by distance from market.
Time back

The work a consultant bills a week for, before your coffee cools.

Sourcing comparables, normalizing them, and writing the standing up used to be a multi-day analyst engagement per vendor. Here it is a single self-serve run, and the write-up and the next email come with it.

Estimate your own hours →
Minutes
from net price to a defended rank
1,140
vendors, no engagement to scope
0
decks to rebuild before the QBR
Why nothing else does this

Not a survey, not a rate card, not a rep’s word.

The category is full of stale reports and anecdotes. The difference is the data and how live it stays.

Analyst survey reports
Dated by the time you read it

A benchmark report priced two years ago, sold to everyone, and never adjusted for your size or timing is an anecdote in a PDF. Ours is computed on modelled deal cohorts and watched after you save it.

Procurement consultancies
A week and a fee per vendor

The classic engagement scopes one vendor, bills for the sourcing and the write-up, and ends when the invoice does. Here it is self-serve across 1,140 vendors, and the method is yours to re-run.

Point pricing tools
List price math, not market clearing

Discount-off-list calculators stop at a number the vendor controls. Your rank places that discount against the range comparable customers pay.

What it is worth

Business value, and the operational value under it.

One line for the board paper, and the day to day the team actually feels.

Business value
  • A defensible target number for every renewal, grounded in modelled cohorts rather than a hunch, so finance can sign off on the ask.
  • Savings you can prove: the standing before, the position after, reconciled to the invoice later.
  • A citable index figure for board papers and vendor emails that does not shift under you.
  • Leverage on your side of the asymmetry the vendor has always enjoyed.
Operational value
  • A verdict in minutes instead of a multi-day analyst engagement per vendor.
  • One place to save, compare, and re-run scenarios, with alerts when the market moves against a saved position.
  • The benchmark hands straight off to a drafted email, a negotiation brief, or the savings plan, so nobody faces a blank page.
  • The whole stack ranked by distance from market, so the team works the biggest headroom first.

Know the fair number before the vendor names theirs.

1,140 vendors. Modelled deal cohorts. Analyst signed.

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