RESEARCH 01 Counteroffer agent benchmark in development →

AI that knows
how to make a deal.

The negotiation layer for marketplaces. Close more transactions without surrendering price, policy, or trust.

LIVE LAB / EL-RS-04
JD

JordanBuyer · online now

Policy secured
Would you take $750? I can complete the order today.
Reading intent
I can hold the camera at $1,000 and include protected shipping.
Auto-playing negotiation
Illustrative product simulation

The model speaks. Your commercial policy decides.

MARKETPLACES ✦ RESALE ✦ B2B SAAS ✦ PROCUREMENT ✦ MARKETPLACES ✦ RESALE ✦ B2B SAAS ✦ PROCUREMENT

Close the gap.
Keep the value.

Most marketplaces leave a deal to die when buyer and seller disagree. Plusum gives the transaction one intelligent chance to converge.

01 / NEGOTIATE

Every counteroffer has a strategy.

The agent reads intent, offer history, urgency, and market context—then chooses the smallest useful concession.

Starting gap$250
Concession6.5%
OutcomeViable
Walk awaySeller ask
Viable agreement zone
$750Buyer opens$790Turn 02$835Accepted range$850Agent offer
Agreement found $50 above policy floor
02 / CONTROL

Give it goals.
Never your judgment.

Floors, term limits, inventory rules, and escalation paths stay deterministic.

Floor ≥ $800Max turns = 6Refund = false
03 / LEARN

A better agent after every deal.

Turn outcomes into measurable strategy—not another unread chat transcript.

Performance,
not personality.

Each release is evaluated against adversarial negotiation scenarios: hidden customer profiles, changing market conditions, and hard policy constraints.

See the agent in action ↑
PLUSUM / EVAL 001

01 Agent enters hidden market

02 Customer strategy is revealed turn-by-turn

03 Policy violations are checked

04 Economic outcome is scored

Evaluation targetSAFE × EFFICIENT × PROFITABLE
✦

Put your deals
back in motion.

We’re building the negotiation infrastructure for the next generation of digital marketplaces.