Steroids for your revenue intelligence.

One MCP plug-in. Same Gong, same CRM, same AI. Sharper answers about people.

Peer grades demonstrated selling skill on every call you already record and feeds the graded record to the AI your revenue team already asks.

Plug Peer into your stack See pricing

API or MCP · alongside Gong, Chorus, Salesloft · no new platform

PeerLab is the lab. Peer is the first product out of the research — an MCP server, in early access.

Seller · recorded call

routespecialist graderevidenceblind re-markreturn

competency—

grade—

evidencequote · —

blind re-mark sampled ✓agreement logged

an atomic observation — the data type your stack doesn’t produce

Try it

Same AI, same question. One of them can see Peer.

app.peerlab.ai/demo/side-by-side Open in a new tab ↗

Synthetic team, real model output. Nothing is recorded.

Complementary by design

Keep your stack. Add the one thing it can’t do.

You keep

Recordings, trackers, pipeline signals
Scorecards and methodology — yours
Every dashboard your team reads

none of this is Peer’s job

Peer adds

A reference grade on every call, from outside your building
The quoted moment behind every grade
Blind re-marking, agreement measured

returned by API or MCP

A plug-in layer. Nothing to learn, nothing new to log into.

Why scores bunch in the middle

Generic AI plays it safe. By design.

Language models reach for the consensus: your strongest and weakest calls land three points apart, and the coaching goes generic. Calibration puts something underneath built to tell the difference.

Why Peer

One job: grade how people sell.

Gong and Chorus see the macro view: the whole call, what happened. Peer adds the micro view: each skill graded moment by moment against one universal standard, checked against trained human assessors. When the two disagree, the call comes back flagged with the moment that shows why.

Same assistant, same questions, with and without Peer’s data. Judging blinded.

12 of 12Blinded judge preferred the answers with Peeragainst the same assistant on recorder data alone

3 → 9Fact-checked claims right, out of ten9 or 10 out of 10 at every evidence tier

10 of 12Leadership decisions that changedsame questions, better evidence underneath

A floor, not a ceiling: the corpus we measured on is harsh and silent on most of a call. Read the study →

What this unlocks

Questions you can finally answer with evidence.

“Is the new cohort actually ramping?”

Skill grades week by week, not activity counts.

“Who are my genuinely strong sellers?”

Graded evidence that survives a promotion debate.

“Can this team open the enterprise motion?”

Skill readiness for a new play, before you bet a quarter.

“Did the coaching work?”

The same competency, measured before and after.

Founding Partner — ten organisations, closes 31 December 2026

Plug Peer in. Start with a real quarter of your calls.

Ten Founding Partners: 25% off list, held for three years, and a quarterly session with the lab on your own data. Start with a Calibration Pilot: eight weeks, up to 25 reps, one blind human grading cycle. £7,500, credited in full against year one.

Start a Calibration Pilot See pricing