Revenue OS · v3.0 · Enterprise

Start using AI intelligence
to close technology
deals faster.

CXO Technology is the AI-native operating system that turns content syndication into orchestrated revenue. Discover full buying committees, detect intent across the journey, and activate every signal through a mesh of agents your enterprise can trust.

3.4×
Pipeline per account
61%
Faster cycle to opportunity
12.6
Avg. committee members surfaced
Trusted by enterprise revenue teams
Red Hat AWS Databricks Snowflake Palo Alto Networks Cloudflare HashiCorp Confluent GitLab MongoDB
The shift

Lead generation was a tool. Revenue intelligence is a system.

Buyers don't fill forms — they assemble committees. The systems that win the next decade map those committees, read the room, and orchestrate every signal into pipeline.

Legacy · Lead Gen

Isolated leads,
disconnected systems.

  • One contact per account — no committee context
  • Form-fills as the only signal of interest
  • CRMs, MAPs and intent tools that don't speak to each other
  • Attribution that ends at the form, not the renewal
  • SDRs working from stale lists, not live signal
CXO · Revenue OS

Buying groups,
orchestrated end-to-end.

  • Full buying committee surfaced for every account
  • Intent detected across first- and third-party signals
  • One agent mesh orchestrating CRM, MAP, and ads
  • Revenue attribution from impression to expansion
  • SDR & AE copilots prioritized by live committee intent
Events OS · Marquee

Your biggest intent signal walks the floor —
and most of it leaves in a spreadsheet.

Marquee is the event revenue engine inside CXO Technology. Every booth scan, session check-in and executive dinner becomes a resolved buying committee — scored live on the floor, with personalized follow-up queued before the closing reception.

Capture committees, not cards
Badge scans resolve to full buying groups against your account graph — 9.2 roles per account, not 1.4 contacts.
Score intent live on the floor
Dwell, demos, sessions and dinners stream into one committee-weighted score — work the hottest rooms first.
Follow up before they land home
Persona sequences fire from what each member engaged — AE-approved, audit-logged, 64% faster.
marquee · CloudScale Summit · floor
live
Scans · today
248 / 612
resolved · 96%
Committees forming
37 accts
avg 5.4 roles
Floor engagement · by hour
Hot accounts · on the floor now
Northwind Energy5 roles · demo + dinner 94 ▲
Initech Global4 roles · 2 sessions 88 ▲
Acme Technology6 roles · booth + lab 82 ▲
Why us · Prediction

Most platforms track activity.
We predict buying behavior.

Eight weighted signals — first- and third-party — into one model. Four predictions out. Every account, every committee member, re-scored as the signals shift — explainable down to the row that moved the number.

Intent score 92 acme co · committee-weighted · ▲ 14 in 7d
Pipeline probability HIGH 82% confidence · P50 close: 38 days
Stakeholder density 7 active of 9 surfaced · CIO + CTO + CAIO engaged
Evaluation stage Advanced cost worksheet opened · pilot-ready
Signal model · how the score is built

First-party and third-party signals, weighted into one intent score.

Your owned engagement — content, product and committee activity — fused with third-party market signals like executive moves, tech-stack shifts and competitive research. A mature intent engine weights each category by how predictive it is of real buying behaviour.

1P · your data 3P · market data 1P + 3P · resolved
Signal category Source Weight %
Buying group formation 1P+3P 20%
Executive changes 3P 15%
Technology changes 3P 15%
Competitive research 3P 15%
Content consumption 1P 10%
Partner activity 3P 10%
Product evaluation 1P 10%
LLM intent signalstoday · likely much higher in future 3P 5%
Output · Personalisation

Personalized pages, by persona

Each prediction becomes a page. The model assembles a different experience for every committee role from the next-best content it scored — the CISO sees the risk angle, the platform lead the architecture, the economic buyer the ROI. One source, a page per persona, no form in the way.

CISOrisk pack
Platform leadarchitecture
Economic buyerROI model
1:1a page matched to each committee role — assembled, not templated
Output · Intent ranking

Buying groups, ranked by intent

Every committee gets a live, committee-weighted intent score and a rank — so your team works the buying groups most likely to move first, not a flat list of leads. Re-scored the moment the signals shift, and explainable down to the row that moved the number.

Acme Co92
Northwind84
Initech76
92/100top committee-weighted intent this week · re-scored hourly
The console

A revenue terminal,
not a marketing dashboard.

Live committee maps, multi-touch attribution, and next-best-actions — surfaced in the density operators expect.

workspace/acme-corp/revenue console
Q3 · live ● connected
Pipeline · Influenced14d
$4.82M
▲ 21.4% MoM
Accounts · Activatedlive
312
▲ 38 this week
Committee · Avg.members
12.6
▲ from 4.1 baseline
Intent · Avg. scoreacct
74
▲ 9 vs prior 14d
Pipeline attribution by source
multi-touch · weighted
Syndication Outbound Inbound
Buying committee · Acme Co 7 of 9
Intent heatmap topic × week
W-13W-9W-5W-1
Revenue influence last 30d
Syndication42%
Outbound29%
Webinar17%
Paid social8%
Events4%
SDR queue prioritised
M. ChenNorthwind94
P. VanceArgent88
D. OluHelix82
S. ParkVector79
Signal feed · live last 5 min
14:02:11Northwind · CISO opened security whitepaper · intent +6
14:01:47Argent Labs · 3 committee members added in last 24h
14:00:55Helix Cloud · webinar registration · "Cloud + AI cost equation"
13:59:22Vector AI · newsletter forwarded by CIO to 4 internal · committee 9/9
13:58:04Meridian · webinar replay watched 22 min by 3 stakeholders
Why us · Compounding

Every campaign
makes the system smarter.

Engagement, committee activity, and revenue outcomes feed the same model that scored them. Six months in, the platform isn't doing what it did on day one — it's doing better, on your data.

Six stagesof the loop
Engagement signalssite · email · docin
Buying-group activity7 roles · weightedin
Revenue outcomeswon · lost · expansiontruth
AI optimizationmodel retrains nightlylearn
Personalization liftrole · stage · stackact
Better predictioncloses the loopout
Model accuracy+18% vs day 0
Match score+24% at 90d
Time-to-meeting− 41% at 180d
Forecast drift− 62% at 365d
Nurture Orchestration

From signal to sequence.
In hours, not weeks.

The moment committee intent crosses threshold, CXO Technology drafts a multi-touch cadence — email, LinkedIn, newsletter, and programmatic channels, personalised to role, ready for approval before a single message ships.

Day 01
LinkedIn · Connection M. Reyes · Platform Engineering Lead Approved · Sent
Marcus — noticed Acme just opened the Frankfurt region. We helped Helix and Argent through the same multi-region lift earlier this year. Happy to swap notes on what bit them at month six. Open to connecting?
Day 02
Email · 1st outreach M. Reyes, cc R. Khoury (CIO) Approved · Sent
SubjectAcme's multi-region rollout — quick note
Saw the EMEA region went live last week — congrats. When Helix Cloud pushed through this exact migration, their PE team flagged three things that bit them around month six (data-residency drift, IAM sprawl, and noisy-neighbour cost). I have the 4-page write-up they shared with us. No pitch — just useful. 15 minutes next Tuesday, or I'll send the doc and let you decide.
Day 04
LinkedIn · DM M. Reyes · after connection accepted Approved · Sent
Thanks for connecting, Marcus. Real reason I reached out: our platform mapped the buying group around Acme's multi-region decision and surfaced 9 people involved — you, the CIO, security lead and a procurement contact among them. Want me to send the committee map so you can see how we're seeing it from the outside?
Day 06
Email · Follow-up M. Reyes Approved · Sent
SubjectRe: Acme's multi-region rollout
Looping back. Also worth mentioning — the CIO at Argent Labs wouldn't take a commercial conversation until they'd run a 14-day pilot on production traffic. We built our motion around that. Useful framing for an internal conversation, even if today isn't the day. Three windows next week, pick whichever lands: Tue 10:00, Wed 14:30, Thu 09:15.
Day 09
Programmatic Display M. Reyes · retargeting audience Approved · Running
Display ad shown to Acme buying committee: "Multi-region infrastructure: lessons from Helix, Argent, and Initech." Contextual retargeting after email open.
Day 11
Newsletter · Syndication M. Reyes · curated digest Approved · Sent
SubjectAutomation Insights: Multi-region patterns
Featured in this week's Automation Insights: "Avoiding the 3 mistakes in multi-region infrastructure." Includes case studies from Helix and Argent. Sent to curated buying committee at Acme.
Day 14
Email · Case study + AE intro M. Reyes, intro: J. Tovar (AE) Replied · Meeting booked
SubjectHow Argent cut latency 40% — 4-min read
Marcus — Argent went through the same architectural lift in Q1. Their PE lead, Jamil Park, wrote up what he'd do differently. Four-minute read, attached. If timing is wrong this quarter, no worries. Otherwise, looping in Jen Tovar on our side — she ran the Helix and Argent migrations with us and would be the right person to walk Acme through it.
Day 18
Programmatic Video M. Reyes · video retargeting Approved · Running
Video retargeting ad: "How to run a successful multi-region pilot in 14 days." Targeted to buying committee members who engaged with previous emails and content.
Day 23
LinkedIn · Comment → Engaging publicly on M. Reyes's post Approved · Posted
Marcus's post: "The hardest part of multi-region isn't latency — it's deciding what should never leave a region." Drafted comment: Strong framing. The Helix team landed in the same place after Q2 — they ended up writing a one-page data classification before touching infra. Happy to share if useful.
Day 30
Email · AE introduction M. Reyes, intro: J. Tovar (AE) Ready for approval
SubjectNext steps: connecting with our AE lead
Marcus — based on your engagement with our nurture sequence, Jen Tovar on our side would be the right person to walk Acme through a potential pilot. No pressure — if timing is wrong this quarter, we'll stay in your corner.
Capabilities

Built for the operators
running modern GTM.

Buying Group Intelligence

Discover and rank every committee member — economic buyer, champion, blocker — for any account.

Real-time Intent Scoring

Blend first-party, third-party and content signals into a live, account-level intent surface.

AI Personalization

Right asset, right person, right moment — on email, on-site, and in every nurture path.

SDR Copilot

A live queue of accounts, members and openers — ranked by committee intent, with explainability.

AE Copilot

Pre-call committee brief, deal risk, and recommended next steps — generated for every opportunity.

Multi-touch Attribution

Trace revenue from first impression to closed-won across every channel, role and touchpoint.

Omnichannel Orchestration

One agent mesh coordinating syndication, ads, email and SDR plays — in lockstep.

Human-in-the-loop Governance

Every action your agents take is reviewable, reversible and explainable to security and compliance.

Personalisation · campaign intelligence

Every touch personalised.
Every campaign understood end to end.

Two capabilities that turn a list of touches into a coordinated story: a page that adapts to each committee role, and an intelligence layer that scores the whole multi-touch journey — not isolated channels.

Personalisation

One asset, a different page for every role

The Personalization Agent assembles a per-person experience from what each committee member has actually read — the CISO sees the security pack, the platform lead the architecture brief, the economic buyer the ROI model. Same source content, no form in the way, next-best section chosen per persona.

CISOsecurity pack
Platform leadarchitecture brief
Economic buyerROI model
4.1×engagement lift when the experience is personalised to the committee role
Multi-touch campaign intelligence

The whole journey, scored as one

Syndication, email, webinar, retargeting, and SDR plays are read as a single connected journey across the buying group — not siloed channels. See which sequence of touches moves a committee from intent to opportunity, which role each touch reached, and what to send next.

Synd.
Email
Webinar
Retarget
SDR
Opp.
92%of won deals show 3+ orchestrated touches across the buying group
Enterprise governance

Trust, by architecture.

CXO Technology is designed for buyers whose CISOs read the answers before they're asked. Every agent decision is governed, logged and reversible.

Human approval workflows
Route any agent action through SDR, AE or RevOps before it ships.
HITL
AI explainability
Every score, every recommendation traces back to the signals that produced it.
XAI
Audit logging
Immutable, exportable record of every event, action and approval.
SIEM
GDPR & data residency
Regional processing, consent honored end-to-end, deletion on request.
EU · US · APAC
Enterprise security
SOC 2 Type II, ISO 27001, SSO, SCIM, customer-managed keys.
SOC2 · ISO
Get started

Your buyers already operate like networks.
Your GTM system should too.

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