B2B commerce is going agentic. Startups will lead it. We are building the trust layer.
AI agents will soon research, shortlist and buy on behalf of the enterprise. The companies built for that world are startups: AI-native, fast, and ready to be bought by an agent. MaxedS connects them to the enterprises, and the agents, that need them, through a curated Decision Desk, self-serve Mutual Match and agentic Trust Rails, all on sourced evidence and mutual consent.
Gartner expects 90% of B2B buying to be AI agent intermediated by 2028; most buyers already prefer to skip the sales rep. Outreach floods their inboxes, and nothing in the middle is neutral and verifiable. The evidence
Startups will lead agentic B2B. They adopt AI first and rebuild around it, yet they have the least access to enterprise buyers. Closing that gap, with trust on both sides, is what MaxedS is for. Why startups
Three startup platforms taken into production at large US enterprises: an ITAR-regulated aerospace manufacturer, a HIPAA-regulated healthcare provider and a Fortune 500 manufacturer. See the deployments
Cursor Directory
Glamamcpservers.orgB2B commerce is going agentic. Trust has not caught up.
Buyers are moving research and shortlisting to AI, and away from sales reps. Sellers are using the same AI to send outreach at any scale. Both point to one need: a source that buyers, and the agents acting for them, can trust and check.
Agents are entering the buying process
“By 2028, 90% of B2B buying will be AI agent intermediated.”
Gartner, “AI’s Influence Runs Deeper Than You Think — 2026 Gartner Strategic Predictions Explain Why”, November 14, 2025
“In 2026, people will start interfacing with the web through their agents.”
Stephenie Zhang, Andreessen Horowitz, “Big Ideas 2026: Part 1”, December 9, 2025
“A copilot sells the tool. An autopilot sells the work.”
Julien Bek, Sequoia Capital, “Services: The New Software”, March 5, 2026
Buyers want to self-serve, and do not trust what they find
67% of B2B buyers say they prefer to buy without a sales rep; 45% used AI during a recent purchase.
Gartner, “Gartner Sales Survey Finds 67% of B2B Buyers Prefer a Rep-Free Experience”, March 9, 2026
AI answers “often deliver incomplete or unreliable information, creating mistrust,” so vendors must ensure “their claims can be validated through trusted external voices.”
Forrester, “Forrester’s 2026 Buyer Insights: GenAI Is Upending B2B Buying”, January 21, 2026
Today the places a buyer, or a buyer’s agent, can look are vendor claims, pay-to-play directories and rankings, and data locked behind seat licences. Outreach tools optimize for volume. No one in the middle is neutral, sourced and open to checking. That is the layer MaxedS is building: the honest broker in B2B, holding both threads, buyer and seller, for people now and for their agents next.
Startups will lead agentic B2B.
Every platform shift is led by the companies born inside it. AI-native startups put agents to work first, rebuild whole workflows around them, and ship in months what incumbents plan in years. They are the ones selling the work, not the tool.
Enterprises want that speed, but they cannot find, vet and trust young companies at scale, and agents will widen the gap: an agent shortlists what it can verify. Startups have the most to gain from agentic buying and the least access to the buyers who matter.
That is why we chose this side of the market. We help the startups leading the shift become findable, checkable and trusted by enterprise buyers and their agents, and we give those buyers a short, evidenced path to them.
We build MaxedS the same way: software first, with AI doing the work and people where judgment matters. Sequoia’s “Services: The New Software” maps where AI autopilots will take over services budgets, from consulting to procurement to staffing. Selling is not on the list. We think it belongs near the top, and that it is the hardest to automate without trust.
We built it because we didn’t find it.
Our founder spent his formative years selling technology to Fortune 500 companies. Since 2021, MaxedS has brought younger technology companies to large enterprise buyers. We kept looking for an honest, verifiable way for the two to find each other, and could not find one.
The data sat behind seat licences and paywalls. Directories and rankings were pay-to-play. Outreach tools were built for volume, not trust. Buyers had no neutral place to check a vendor’s claims, and strong companies had no credible way to be found by the people who own the problem.
So we built the layer ourselves: a ranking built on sourced evidence, with each source shown, a connector that agents can query, and a desk where the buyer sets the terms. We run our own Decision Desk on it first.
MaxedS exists to help the startups leading the AI shift succeed with the enterprises that need them.
Three tiers. One trust layer.
From a desk we run by hand to rails that agents use on their own. Every tier runs on the same foundation: SalesBook, the SalesBook connector, GTM OS and our Trust Graph. One rule throughout: mutual or nothing, no cold outreach, ever.
Decision Desk
A standing review seat inside an enterprise buyer. The buyer sets the brief, criteria and panel; we bring a short, evidenced slate; every review ends in a written decision. Three have led to deployments now in production.
See the deploymentsMutual Match
Startups and executives tell us who they want to meet. When qualified demand builds around a buyer, we bring one evidenced brief, and introduce only when both sides opt in. In private beta.
Request accessTrust Rails
Buyer and seller agents find, vet, meet and transact through MaxedS, on verified identity, sourced claims and recorded consent. In private beta. SalesBook is already queryable by agents at mcp.maxeds.org.
See all toolsA standing monthly review with an enterprise innovation team.
A standing monthly review with an enterprise procurement team.
How a Decision Desk review runs
The enterprise sponsor sets the brief, the evaluation criteria and the decision panel, and engages the company as a client for a defined evaluation or pilot, not as an investor. Companies are screened against those criteria, independent of any single fund’s portfolio. A standard technical pre-read replaces the sales demo. Each review ends in a written decision record the enterprise owns: proceed to pilot, proceed with defined security conditions, or close.
Trust rails as smooth as Stripe made payments.
Every introduction and every decision feeds an outcome record, so the system keeps learning who actually delivers. The endgame is trust rails for B2B commerce, for executives and for the agents that act for them, with startups first in line.
Three enterprise deployments.
Startup platforms taken through a MaxedS-run evaluation into production at large US enterprises. Vendors are named; clients are described, not named.
An ITAR-regulated US aerospace manufacturer needed automated accounts-payable processing within strict compliance boundaries. MaxedS structured the technical evaluation and integration path. E42’s platform handles invoice data extraction, three-way matching, and Oracle ERP writeback.
A US healthcare supplies provider needed automated analysis of sensitive patient documentation. MaxedS facilitated the enterprise review with clinical and security stakeholders. The result was an AI Medical Notes Analyst that operates within HIPAA requirements and cut processing cycle time by more than 80%.
A Fortune 500 manufacturer needed to modernize B2B payment reconciliation, dispute workflows, and invoicing across several ERP instances. MaxedS ran the client-designed review that led to a master services agreement in 2023 and rollout.
The United States and India.
The United States is our market; it is where the buyers are. India is where many of the companies we represent are built. We expect to add regions over time.
Priority verticals: Retail & CPG, Manufacturing, Healthcare and Education, plus cross-industry platforms. We go deep in these rather than wide.
Led by Puneet Sharma, former Vice President and Head of Sales for Manufacturing at Infosys. Leadership
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