Every partner, one place.
One enterprise-grade home for every company we work with. Discover how your products connect to ours across the three motions we run, read the deep-dive studies we did ahead of the conversation, and see how, together, we give the customer we share a private, personalized experience they own.
Public information, consent-first, and honest, never a claimed deal or endorsement.
Just ask.
You do not have to hunt through a grid. Tell us what you are here for, in your own words, and we will take you there.
Your customer is our customer.
One understood customer, served privately
Your customer is our customer. With π€« Agent One in the middle, by consent, you can offer them a differentiated, private, deeply personalized experience, understood by your brand and by everyone in their circle of trust, without ever taking their data.
Their finances, in one calm place
π€« Agent One runs a person's money life, so your product meets them exactly where a real financial decision is being made, with a receipt for every access.
Their health & well-being
Daily health, mental and physical, and wellness. A partner who serves the whole person meets them here, on the person's terms.
Their circle of trust & community
A strong inner circle, a wider outer circle, and real community. We help people build deep connections and communicate well, and your brand can be part of that trusted circle.
Buy, build, and sell together.
Partners we buy with
The compute we own and run our workloads on: silicon, servers, memory, foundries, and cloud accelerators that power π€« Puppy One, π€« Grid One, and π€« Factory One.
Partners we build with
The models, data platforms, payments, identity, and commerce rails π€« Agent One is built on, so it serves each person privately, by consent, on open rails.
Partners we sell with
The channels and go-to-market partners who take π€« to the world: large distribution sales forces, telecom, and industry-by-industry go-to-market.
75 partners in the portal today. Every technology partner actually carries all three motions; we group each by its primary one.
Partners carry the quota. We carry the product.
We run a partner-led go-to-market on purpose: the ecosystem carries the sales risk and pushes the quota down to its own sellers, and customers adopt Agent One by burning down cloud, agent, and model commitments they already made - BYOC, BYOA, BYOL. The full operating model, the risk ledger, and the ontology behind it live in one place.
Align to how their reps get paid.
A partner sells for us when π€« Private Agent One moves the exact number their sellers carry. So we start there: how each anchor partner makes money, what their reps are actually paid on, the real co-sell or marketplace mechanism, and the π€« play that makes their own team want to drive it. Five ways a seller gets paid, and where we fit each one.
Consumption drawdown
Usage growth β ACR, credits, DBUs, Universal Credits β not one-time license.
π€« Agent One runs on their compute and data for every citizen, so it generates sustained underlying consumption; transacted on their marketplace, it also draws down the customer's committed spend. Their rep is paid to sell it. The highest-leverage alignment.
AWS
- How they make money
- Consumption cloud infrastructure (pay-as-you-go plus committed-spend EDPs); Amazon's profit engine.
- What their reps carry
- Account teams are widely reported to be measured on consumption growth and account run-rate, not one-time license sales.
- The co-sell mechanism
- AWS ISV Accelerate co-sell + AWS Marketplace; documented that Marketplace purchases can draw down a customer's committed spend (EDP).
- The π€« play
- List π€« on AWS Marketplace and architect it to generate EC2/S3/data + inference consumption; the AWS seller earns co-sell credit and the customer retires their EDP by adopting it.
Microsoft Azure
- How they make money
- Consumption cloud (Azure, metered) plus per-seat M365 SaaS.
- What their reps carry
- Azure field sellers are widely reported to carry ACR (Azure Consumed Revenue) growth.
- The co-sell mechanism
- MACC (Microsoft Azure Consumption Commitment) + the commercial marketplace; documented that eligible marketplace purchases draw down MACC, with IP co-sell incentives.
- The π€« play
- Make π€« MACC-eligible on Azure Marketplace so every citizen's agent grows Azure consumption and burns down the customer's commitment β the clearest drawdown mechanic of the set.
Google Cloud
- How they make money
- Consumption cloud infrastructure + Workspace SaaS; multi-year committed-use discounts.
- What their reps carry
- Field sellers are widely reported to carry consumption and committed-use / new-workload growth.
- The co-sell mechanism
- Google Cloud Marketplace; documented that Marketplace purchases count toward the customer's committed spend, with partner co-sell programs.
- The π€« play
- Transact π€« on Google Cloud Marketplace so it drives GCP consumption and retires the customer's commitment, aligning the Google rep to co-sell it.
Oracle Cloud
- How they make money
- OCI consumption via prepaid Universal Credits, plus Fusion / NetSuite cloud apps.
- What their reps carry
- Sellers are widely reported to be pushed on OCI consumption / Universal Credits drawdown and cloud ARR conversion.
- The co-sell mechanism
- Oracle Cloud Marketplace; Universal Credits are drawn down by usage (marketplace-drawdown specifics are less publicly detailed β verify).
- The π€« play
- Run π€« on OCI so citizen-agent usage draws down prepaid Universal Credits the seller is paid to grow.
Snowflake
- How they make money
- Consumption-based: customers buy credits billed for compute/storage used (product revenue tied to usage, not seats).
- What their reps carry
- Publicly restructured sales comp toward consumption β reps paid on actual usage growth (per its 10-K + reporting; exact formula not published).
- The co-sell mechanism
- Snowflake Marketplace + Partner Network + Powered by Snowflake; also sold via hyperscaler marketplaces, so spend can draw down cloud commitments too.
- The π€« play
- Every citizen's owned data + agent workloads consume credits; being on hyperscaler marketplaces means π€« feeds both Snowflake and cloud drawdown at once.
Databricks
- How they make money
- Consumption-based, billed in DBUs for Lakehouse / ML / AI compute.
- What their reps carry
- Consumption-oriented β reps widely reported to drive DBU usage growth (same logic as Snowflake).
- The co-sell mechanism
- Partner Connect + Databricks Marketplace + Built on Databricks; transacts via hyperscaler marketplaces to draw down cloud commitments.
- The π€« play
- Citizen data + AI workloads on π€« consume DBUs; running on the clouds, it drives their consumption as well.
ACV & bookings
Net-new annual contract value and expansion seats on a per-seat platform.
π€« extends their platform to the citizen and consumer side, pulling more seats and modules, and is packaged to be co-sellable so it helps the AE hit their ACV number.
Salesforce
- How they make money
- Per-seat subscription SaaS across clouds; ACV / ARR with disclosed RPO.
- What their reps carry
- AEs are widely reported to carry net-new ACV (bookings) plus expansion, classic land-and-expand.
- The co-sell mechanism
- AppExchange ISV marketplace with a revenue-share model (share % varies by tier β not consistently public).
- The π€« play
- π€« as the citizen's own agent on the other side of the enterprise's Salesforce agents β pulling more seats and clouds, packaged to help the AE grow ACV.
ServiceNow
- How they make money
- Per-subscription SaaS on the Now Platform; ACV / ARR with very high renewal rates.
- What their reps carry
- AEs widely reported to carry net-new ACV plus expansion across workflows.
- The co-sell mechanism
- ServiceNow Store + Build / ISV program + Partner Program.
- The π€« play
- π€« deepens the platform's citizen-facing footprint and is co-sellable to expand subscriptions and modules.
SAP
- How they make money
- Enterprise software moving to cloud (RISE with SAP, S/4HANA Cloud); reports Current Cloud Backlog.
- What their reps carry
- Sellers widely reported to be pushed on cloud ACV and RISE migrations.
- The co-sell mechanism
- SAP Store + PartnerEdge + Endorsed Apps (SAP-vetted partner products SAP co-sells).
- The π€« play
- Pursue Endorsed-App / co-sell status so π€« pulls more S/4HANA and cloud adoption and feeds the migration pipeline.
Services utilization
Delivery on chargeability / utilization; leaders on bookings (TCV) and engagement margin.
Building, implementing, maintaining, and scaling an agent service for every citizen is a large, recurring billable pipeline. π€« ships with a certified implementation methodology and partner margin, so it is a services-pull their delivery org wins on.
Accenture
- How they make money
- Billable professional services β consulting + managed services; revenue β headcount Γ utilization Γ bill rate.
- What their reps carry
- Delivery measured on chargeability/utilization; managing directors on origination (bookings) and engagement margin.
- The co-sell mechanism
- Ecosystem business groups (Accenture AWS/Microsoft/Google/SAP/Salesforce/Oracle groups).
- The π€« play
- Building + implementing + scaling an agent service for every citizen is a multi-year billable program; π€« ships a certified methodology and a GSI practice so it is a services-pull.
Deloitte
- How they make money
- Billable consulting/advisory + systems integration (largest of the Big Four by revenue).
- What their reps carry
- Utilization/chargeability for staff; partners on origination and margin / book-of-business (industry-understood).
- The co-sell mechanism
- Deloitte alliances with AWS, Google Cloud, Microsoft, Oracle, SAP, Salesforce.
- The π€« play
- Position π€« as a transformation program β the more valuable the agent, the more billable implementation and managed-services work.
TCS
- How they make money
- IT services / billable delivery; publicly reports utilization (ex-trainees) and TCV each quarter.
- What their reps carry
- Delivery on utilization; account leaders on TCV bookings, revenue growth, and margin.
- The co-sell mechanism
- TCS partner ecosystem with hyperscalers and software vendors.
- The π€« play
- Agent-service rollout to every citizen = migration/implementation/managed-services pipeline; utilization is the profit lever π€« feeds.
Infosys
- How they make money
- IT services / billable delivery; reports utilization ex-trainees and large-deal TCV.
- What their reps carry
- Delivery on chargeability; sales on TCV bookings plus revenue/margin.
- The co-sell mechanism
- Infosys alliances / ecosystem plus the Infosys Cobalt cloud offering.
- The π€« play
- Package π€« through Cobalt as a certified agent build-and-run practice β a billable, repeatable services motion.
Hardware & attach
Units, design-wins, and bookings (silicon); net adds, activations, and attach (telecom).
π€« attaches to the box or the line: it drives GPU demand (Puppy One / Grid One / Factory One) and rides as an add-on the channel earns commission on with every activation.
NVIDIA
- How they make money
- Primarily data-center GPUs, systems, and networking; growing software (AI Enterprise) and DGX Cloud consumption.
- What their reps carry
- Runs heavily through OEMs, channel, and clouds; direct incentives track design-wins and platform adoption (least publicly detailed of the set).
- The co-sell mechanism
- NVIDIA Partner Network (NPN); DGX Cloud is GPU capacity sold through the hyperscalers, so NVIDIA consumption rides the cloud marketplaces.
- The π€« play
- π€« Agent One + Puppy One / Grid One / Factory One is a GPU-demand engine at the edge β every citizen's agent pulls NVIDIA silicon and AI-Enterprise attach.
AT&T
- How they make money
- Connectivity subscriptions β Mobility (postpaid, ARPU), Consumer fiber/broadband, Business connectivity.
- What their reps carry
- Retail and B2B reps widely reported to be paid on gross/net adds, activations, upgrades, and attach; dealer commissions in the channel.
- The co-sell mechanism
- AT&T Partner Exchange (wholesale/reseller/solution-provider) and solution-provider channels.
- The π€« play
- Attach π€« Agent One to every subscriber as an add-on the channel earns on β a consumer-AI attach that grows ARPU and net adds.
T-Mobile
- How they make money
- Wireless subscriptions β postpaid phone net adds and ARPU headline; growing home internet (fixed wireless) and fiber.
- What their reps carry
- Retail/B2B widely reported to be paid on postpaid net adds, activations, upgrades, and attach; indirect dealer commissions.
- The co-sell mechanism
- T-Mobile for Business + partner/channel and wholesale (MVNO) programs.
- The π€« play
- Bundle π€« with lines and home internet as an attach dealers are commissioned on β every activation adds a recurring citizen agent.
Land & expand (FDE-led)
Pilots that expand by net-dollar retention, not a classic quota-carrying field army.
π€« joins at the pilot layer as the private, citizen-side agent, so it becomes part of the expansion surface rather than a competing sales motion.
Palantir
- How they make money
- Software platform (Gotham, Foundry, AIP) sold as subscription + usage; Government and Commercial segments.
- What their reps carry
- Acquire-Expand-Scale with AIP Bootcamps landing pilots and net-dollar-retention driving expansion; known for Forward-Deployed Engineers (it does also run commercial sales teams).
- The co-sell mechanism
- Available via cloud partnerships / marketplaces (verify current specific listings).
- The π€« play
- π€« Private Agent One as the citizen's private agent on the customer's side of Foundry/AIP β joining at the bootcamp/pilot layer, part of the expansion surface, not a competing motion.
Business models and program names are from public filings and official program pages. How each partner's sellers are compensated is almost never officially published, so those lines reflect how the motion is widely reported and understood, not documented policy. This is our own operating model and an open invitation β never a claimed deal, quota, endorsement, or affiliation.
Partners we buy with
The compute we own and run our workloads on: silicon, servers, memory, foundries, and cloud accelerators that power π€« Puppy One, π€« Grid One, and π€« Factory One.
Amazon Web Services
technologyThe broadest cloud on earth, summoned into infrastructure the customer owns.
Amazon Web Services
technologyThe cloud that scales the world, now the burst behind a supercomputer you own.
AMD
technologyOpen, high-performance compute for the workstation and the data center you own.
Apple
technologyThe most personal computer there is, now with an agent that runs on the same chip as your life.
Arm
technologyThe power-efficient compute inside nearly everything - the foundation a personal agent runs on, everywhere.
Broadcom
technologyThe networking and infrastructure software that moves and secures an agentic world.
Dell Technologies
technologyPowerEdge to Precision - the systems that put owned AI compute in every hand and every rack.
Google Cloud
technologyTPU-class acceleration in a project you own, summoned only when you need it.
IBM
technologyEnterprise-grade AI and hybrid cloud - trusted governance for agents in the world's biggest institutions.
Intel
technologyx86, accelerators, and a foundry - the compute that can put a private agent in every machine.
Lenovo
technologyFrom the ThinkPad on your desk to the AI server in the rack - the hardware a personal supercomputer can live on.
Micron
technologyThe memory and storage that hold a personal supercomputer's mind - close, fast, and yours.
Microsoft
technologyWindows, Microsoft 365, and Azure - the enterprise standard, with the user owning their agent.
NVIDIA
technologyThe compute that defined the AI era, pointed at one person's work and torn down after.
Oracle
technologyThe database of record and a fast cloud - where the enterprise's truth lives, now agent-ready.
Qualcomm
technologyPrivate intelligence in your pocket, running on the silicon that already powers it.
Samsung
technologyGalaxy devices and the memory that feeds AI, with an agent that's truly yours.
Supermicro
technologyRack-scale AI systems, built fast - the dense compute a fleet of personal supercomputers runs on.
TSMC
technologyThe foundry that makes the chips - the silicon foundation under every personal supercomputer.
Partners we build with
The models, data platforms, payments, identity, and commerce rails π€« Agent One is built on, so it serves each person privately, by consent, on open rails.
Anthropic
technologyClaude's careful reasoning and agentic tool use, in service of the person - proven by this very build.
Cloudflare
technologyThe global edge that keeps a personal agent fast, private, and protected everywhere it goes.
Databricks
technologyThe lakehouse where data and AI meet - the place to build the models a private agent uses.
DocuSign
technologyAgreements that read themselves and route for signature, with a human's nod.
Android, Workspace, and Gemini - reach for everyone, with the user finally at the center.
Mastercard
technologyA trusted global network with deep identity and data rails - agentic commerce, owner-controlled.
Meta
technologyMuse Spark set the mission - personal superintelligence. π€« Private Agent One is how it becomes truly personal: the consent rail that makes Facebook Ads, WhatsApp Business, creators, glasses, and Meta's AI factories win by putting the human at the center.
MuleSoft
technologyThe connective tissue to every enterprise system, wrapped in consent.
Okta
technologyThe identity layer for work and life - the trusted handshake an agent needs to act for you.
OpenAI
technologyFrontier reasoning, orchestrated for one person and gated by their consent.
Plaid
technologySecure connectivity to your financial life, owned and consented by you.
Salesforce
technologyThe system of record for relationships, with the customer finally owning their side.
SAP
technologyThe backbone of how enterprises run - now agent-reachable, with consent, for the people inside.
ServiceNow
technologyThe platform that runs enterprise work - now where an owner's agent gets things done across teams.
Shopify
technologyThe commerce platform for millions of merchants - now a place an owner's agent can shop and transact.
Sierra
technologyThe most human customer experience, met by an owner's agent that speaks for them.
Snowflake
technologyThe data cloud where the enterprise's data lives - now reachable by an owner's agent, with consent.
Stripe
technologyThe payments infrastructure for the internet - now the rails an agent can transact on, with consent.
Visa
technologyThe network that moves money everywhere - now a rail an owner's agent can use, with consent.
xAI
technologyReal-time reasoning, put to work for one person and logged for them.
Zelle
technologyMoney between people you trust, settled in a tap on rails you already use.
Partners we sell with
The channels and go-to-market partners who take π€« to the world: large distribution sales forces, telecom, and industry-by-industry go-to-market.
Accenture
distributionAn agent-native transformation practice that attaches owned personal supercomputing to enterprise and public-sector programs.
Advanced Tech & Semiconductors
industryGo to market with EDA vendors, foundries, workstation OEMs, and electronics distributors.
Amazon
distributionSell Agent One + Puppy through marketplace and business channels and co-sell owned-cloud burst on AWS - a new attach to both retail reach and enterprise cloud.
Asset Management & Fund Managers
industryReach funds through prime brokers, fund administrators, and allocator networks.
AT&T
technologyThe network that connects your life, now a channel that puts a private agent in every hand.
Automotive & Mobility
industryReach the industry through OEM and tier-1 programs, dealer groups, and telematics platforms.
Booz Allen Hamilton
distributionAttach a sovereign personal agent and owned compute to mission programs, adopted by every cleared operator inside the boundary.
Capgemini
distributionAn owned-AI engineering offering that attaches personal supercomputing to digital and industrial programs.
CDW
distributionAdd Agent One + Puppy as a new product line every rep attaches to hardware refreshes and solution sales - a personal supercomputer on every quote.
Deloitte
distributionAttach Agent One + Puppy to advisory and implementation engagements as the owned-AI layer, especially in regulated industries.
Federal Government & Agencies
industryWin through mission integrators, sovereign-cloud providers, and government contract vehicles.
Healthcare & Life Sciences
industryGo to market through EHR ecosystems, GPOs, health-system VARs, and research-computing channels.
Higher Education & Research
industryPartner with research-computing vendors, campus stores, and higher-ed consortia.
Hitachi
distributionAttach owned edge intelligence to industrial and data systems, bringing a personal supercomputer to the operational edge.
Hospitality & Travel
industryPartner with property-management systems, booking platforms, and the management groups who set the service bar - Four Seasons style.
Infosys
distributionAn owned-AI delivery offering that attaches a personal sovereign agent and supercompute to modernization engagements.
Insurance
industryDistribute through carriers, brokerages, and agency-management networks to every agent and adjuster.
Legal & Professional Services
industryDistribute through legal-tech resellers, document-management platforms, and bar associations.
Lyft
distributionAn owned personal agent for drivers and riders that attaches to the ride and earnings experience, with consent and a private ledger.
McKinsey & Company
distributionDeploy Agent One as the owned agent layer inside transformation engagements, so the strategy ships with sovereign, owned intelligence.
Palantir
distributionAdd a personal, sovereign agent and owned compute to every Foundry/AIP deployment, so the platform is adopted by every individual user, with an owned-hardware attach.
Ports & Logistics
industryDistribute through terminal-operating-system vendors, 3PLs, and freight platforms.
PreK-12 Schools
industryDistribute through edtech resellers, district VARs, and purchasing cooperatives.
Private Banking & Family Offices
industryWin through private banks, multi-family-office networks, and the trusted advisors around the principal.
Real Estate
industryReach agents through brokerage networks, MLS providers, title/escrow, and proptech.
Retail & Consumer
industryDistribute through commerce platforms, POS, marketplaces, and global retail and dealer networks.
Space & Connectivity
industryPartner with satellite operators, telecom carriers, and managed-service providers.
SpaceX
distributionAttach owned edge intelligence - Agent One on a Puppy - to every Starlink-connected site, so connectivity ships with a personal supercomputer that works offline-first.
State & Local Government
industryReach SLED through cooperative purchasing, GovTech distributors, and state contract vehicles.
T-Mobile
technologyThe Un-carrier network, now the Un-carrier of personal AI - an agent in every customer's hand.
Tata Consultancy Services
distributionStand up an agent-native practice that attaches Agent One + Puppy to every transformation program, as a new owned-AI line across their book of business.
Technology, Internet & Comms
industryWin through hyperscaler marketplaces, ISV ecosystems, and global IT distributors.
Uber
distributionA personal Agent One for every earner and an attach to the platform's commerce and customer-service flows, owned by the person, not the platform.
Wealth Management & RIAs
industryReach advisors through the custodians, TAMPs, and RIA networks they already run on, and put a private agent in front of every client.
Wipro
distributionAttach Agent One + Puppy to managed services and modernization as a recurring owned-AI line.
The deep-dive studies.
For the partners we most want to build with, we publish the same thing: a cited study of their products and business model, the leadership we would align with, and a tactical plan, done in the open.
Thinking Machines
An open, cited study of Thinking Machines Lab and how their published direction lines up with the owned, consent-first world π€« is building.
Sierra
How π€« Private Agent One meets Sierra's enterprise agents on the customer's side, an honest agent-to-agent handshake.
Greylock
Greylock's category-creation record mapped onto the four categories π€« is creating, for the investor conversation, done in the open.
Seamless commerce, owned by you.
We are creator-first. A creator's information and content are their brand and their biggest asset. The portal is where a partner brand and π€« help a creator turn that into commerce, on rails they own.
Sell your expertise and your time
Turn what you know and the hours you give into clean, consented commerce, priced and paid seamlessly, on rails you own.
Sell, advertise & market products
Launch and promote products to the people who actually want them, where every ad is a saving and every pitch is permissioned, never spam.
Wear it and earn
Sell the products you love from the brands you love simply by wearing them and looking awesome, your taste becomes a storefront, by consent, with a receipt.
Own the relationship, keep the upside
The audience, the data, and the brand are yours. π€« helps you grow them and keep the majority of the value you create.
Everything a partner needs to start.
Become a partner
Sign in and apply as a reseller, integrator, hardware, channel, or selling agent.
Partnership toolkit
Mutual NDA, MOU, MOI, collateral, and a downloadable proposal library.
Onboarding
A self-serve, delegable onboarding flow on open MCP and A2A rails.
Every drop, indexed
The searchable index of every technology, industry, and distribution page.
The order book
The Q3 and Q4 buy, sell, and build-together forecast.
What's in it for you
The personal payoff by role, with real stories.
Distribution channels
The top-ten distribution channel deep dives.
The ecosystem map
The whole ecosystem as a map, layer by layer.
The AI Factory for hosts
Grid One for garages and Factory One for warehouses, an owned edge-compute revenue stream.
Let's build, sell, and buy together.
Every page here is public information and our own analysis, an open invitation, never a claimed deal or endorsement. If you see how your work connects to ours, the door is open.