Most procurement AI chases tail spend. We go after the spend that decides your margin.
Molecule One builds, teaches, and deploys AI for core strategic sourcing, direct and indirect. Sourcing agents you can run today, hands-on consulting, and training built by people who ran procurement in-house.
Three ways we work with procurement teams
A product to run, a team to deploy it with you, and training to build the skill in-house.
Products
Agentic sourcing suite
Agents built for strategic sourcing. Tendr turns your documents into a send-ready RFx; Qualo scores the bids that come back, bound to the source. You keep every award decision.
See the productConsulting
Deploy AI in your team
We build and deploy working AI into your sourcing, contracting, and supplier workflows, proven in a 90-day engagement. You keep the prompts, agents, and playbooks we build together.
Explore consultingTraining
Upskill your people
Take a category or contract manager from "I know AI exists" to using it daily on real sourcing work. Self-paced, live team workshops, or a CPO peer group.
See trainingOur thesis
Why strategic sourcing, not tail spend
Tail spend automation is the easy win: transactional, low-risk, high-volume. That is where most procurement AI has gone, because it is the part a generic tool can safely take over.
But the dollars and the margin sit in strategic sourcing: the categories where context, judgment, and supplier relationships decide the outcome. That end resists automation, which is exactly why it needs AI built by people who have run sourcing themselves, not a chatbot bolted onto your ERP.
That is the end we work. Direct and indirect, the spend that actually moves the number.
Estimate what AI could give your team back
A transparent model of the hours and value a procurement team recovers when repeatable sourcing work moves to AI. Enter your team size and see the assumptions behind every number.
6.8x
typical mid-market team
$205K+
for a 30-person team
Modelled on outcomes our founders measured running strategic sourcing in-house, not Molecule One client averages. Your numbers depend on team size, category mix, and use cases.
We test AI on real procurement work, and publish the numbers
We are early, and we would rather show our work than claim a track record we have not earned yet. The Handshake is our running series putting new AI models through actual procurement tasks (RFP evaluation, contract redlining, spend analysis) and reporting what held up and what did not.
Read the experimentsPractitioner notes on AI in procurement
What we are building, testing, and learning, written for people who know what a Kraljic matrix is. No hype, roughly weekly.