AI-native SaaS procurement
Enterprise SaaS costs are rising 10-15% every renewal. Most companies pay it. Vendyr sends an AI agent to renegotiate — benchmarks pricing, triggers conversations, closes savings — while your team sleeps.
The problem is everywhere
"Every SaaS renewal is a negotiation. Most companies just approve the invoice."
How it works
Connect your tools. Vendyr reads your contracts, renewal dates, seat counts, and pricing history — building a live model of what you're paying and why.
Every line item gets benchmarked against $15B+ in real SaaS transaction data. Oversubscribed seats, underutilized licenses, bloated tiers — all flagged.
60-90 days before renewal, Vendyr initiates outreach with leverage: market data, your usage, alternatives you've been quoted. AI-driven, vendor-facing, persistent.
Vendyr proposes terms. You approve or adjust. We handle the back-and-forth. You get a signed contract with better economics than the invoice that was coming.
What you get
Not a one-time audit. Your agent watches every seat count, usage metric, and pricing benchmark in real time — alerting you before you overpay.
60 days out, your agent knows what you should be paying, who you've been quoted by, and what leverage you have. The renewal conversation starts before your vendor does.
AI agents with market data, your usage, and competitive quotes engage vendors directly. Persistent. Documented. Never emotional.
Every negotiated term, every benchmark, every vendor conversation — logged and auditable. A contract repository that actually knows what you paid last time.
"The average enterprise has 254 SaaS apps. The average procurement team has 4 people. Every single renewal is an opportunity to be exploited."
The fundamental problem with enterprise SaaS is not visibility — it's leverage. Vendyr gives you an AI agent that never forgets a renewal date, never misses a benchmark, and never stops negotiating.
Vendyr runs in the background. Every renewal cycle, your AI agent works the problem. You review the outcomes, approve the contracts, keep the savings.
We're building the world where procurement is autonomous — where every dollar of software spend has an agent watching it, benchmarking it, and working to optimize it.