For B2B technology and services companies · Strategy and full execution
Most B2B outbound stalls because it reaches the right companies at the wrong time. Stan builds the infrastructure to fix that, handling the architecture, copy, integrations, and tracking in a single engagement.
The core problem
Most B2B outbound fails at targeting. It focuses on who a company looks like rather than what they are actively doing. High send volume meets weak signal, and the result is deliverable messages with nothing relevant to say. Signal-based demand engines fix the targeting model first, then build the campaigns around it. That is the difference between a campaign and a system.
What I do
Most consultants hand you a deck. Stan builds the system, writes the sequences, wires the integrations, and tracks what works. The deliverable is a live pipeline generating revenue.
Autonomous AI agent teams that research targets, personalize messages, manage follow-ups, and adapt to reply signals across email, LinkedIn, and SMS. Every message passes a pre-send quality gate before it reaches a single inbox. The goal is qualified conversations at scale, with human judgment governing what the buyer actually reads.
End-to-end pipeline design from ICP definition to first meeting. Signal-based triggers including hiring activity, LinkedIn engagement, event registrations, and job changes, tracked, scored, and routed automatically. Everything built into your systems so all assets stay yours at the end of the engagement.
Market positioning, ICP definition, messaging architecture, and go-to-market sequencing for B2B technology companies entering new markets or repositioning in competitive ones. Includes the signal mapping and competitive analysis that makes outbound copy specific rather than generic.
How I work
Stan works directly with founders, CMOs, and revenue leaders. Short cycles, clear outputs, measurable results with no intermediaries.
01 · Days 1-7
Audit your current pipeline, ICP fit, messaging, and tech stack. Identify the highest-impact gaps before touching anything.
02 · Days 8-21
Build the architecture: sequences, signals, scoring, routing. Everything designed for your market and your buyer, from scratch.
03 · Days 22-45
First sequences and signals go live by Day 30. Stan writes the code, the copy, and wires the integrations directly in your tools.
04 · Days 46-90
Track what is working. Iterate on signals, cadence, and messaging. At Day 90, review pipeline generated and cost per meeting. All systems, sequences, and lists stay yours at the end of the engagement.
Selected work
A sampling of systems designed and shipped for technology companies across North America and Europe.
Designed and deployed a fully autonomous AI team of 13 specialized agents running outbound, content, analytics, and client intelligence operations for a marketing consultancy. The system operates continuously without manual intervention, replacing the equivalent of multiple full-time roles.
End-to-end hiring-signal pipeline that takes a company from LinkedIn scrape to personalized sequence in under 24 hours: ICP classification, Apollo enrichment, AI-generated 4-touch copy, pre-send quality gates, and SmartLead deployment. Built for a global staffing group's North American expansion.
Multi-channel outbound across email, LinkedIn, and WhatsApp with automated reply classification, CRM sync, and real-time campaign monitoring running without daily management.
Four-database signal platform that surfaces the highest-priority accounts automatically every morning: engagement events, network connections, job changes, and buying signals, daily-scored with decay weighting and direct HubSpot sync for a technology services firm.
What clients say
"Stan built us a content engine we actually use. VoiceStream structures the relevant news, and delivers a weekly briefing that sounds like it came from a human editor. We went from publishing sporadically to shipping a podcast episode our audience looks forward to every week."
"Life sciences organizations are surrounded by AI vendors promising transformation, but the ones who actually move the needle start with domain mastery. Stan brings the rare combination of strategic thinking to identify the signals that matter in patient-centered R&D, regulatory milestones, clinical trials, indication expansions and the AI architecture. His framework provides the ability to turn those signals into qualified conversations to integrate patient, caregiver, and provider perspectives into every decision that drives outcomes. Stan's depth of understanding at the intersection of life sciences and AI is genuinely unique."
"Stan built the system end-to-end: ICP definition, signal triggers, sequence copy, and CRM routing. Within 30 days we had a live pipeline generating qualified conversations, with every asset transferred to our team."
"We had tried cold outreach before and struggled to make it land. Stan rebuilt the approach around job-change and hiring signals so our messages had something real to say. The infrastructure belongs to us: every sequence, every domain, every list."
"Within the first 60 days we had a real-time view of our top accounts, scored by buying signal intensity and synced to HubSpot every morning. Our team stopped guessing who to call and started working a prioritized queue."
AI-first operations
His consulting practice operates on a custom AI agent architecture: 13 specialized agents covering outbound sequencing, content creation, client intelligence, pipeline monitoring, and executive communications, running autonomously around the clock.
This is the same type of infrastructure he designs for clients. Built on Anthropic Claude, with custom integrations across Apollo, HubSpot, SmartLead, PhantomBuster, Gmail, Telegram, and Notion, all wired together and tracked in real time.
When Stan recommends an AI-native architecture for your team, it is because he already runs one himself.
Every outbound message passes through a pre-send quality gate before it reaches a single inbox. The automation handles volume and timing. Human judgment governs what the buyer actually reads.
Ask how it worksNytro AI: Agent Status
Princeton, NJ · Eastern Time
Guides
Four in-depth guides on the systems Stan builds for clients: signal-based outbound, the tooling behind it, AI agents, and the positioning that has to come first.
Static demographic lists tell you who a company is, not whether they're buying right now. This covers which intent signals are worth acting on, how to build a system around them, and what it costs.
GuideA data platform, an enrichment tool and a sequencer do three different jobs, and most stacks stitch them together badly. Here's how Clay, Apollo and SmartLead fit, and what each one is actually for.
GuideAn AI agent runs a marketing task from start to finish without a human approving each step. The guide is honest about the limits: what these programs can execute today, what they still cannot, and how to start.
GuidePositioning answers three questions: who the product is for, what it beats, and why that buyer should care. Work through the Value Proposition Canvas and April Dunford's five-component sequence to answer them in order.
Thought leadership
Three properties, all built on the same AI infrastructure he deploys for clients. All tested in public, all based on real results.
A weekly audio briefing on what is actually changing in marketing because of AI. Curated, synthesized, and delivered in under 10 minutes. Pure signal from the field.
NewsletterStan's LinkedIn newsletter on what is actually changing in B2B marketing because of AI. Subscribe for practitioner-level analysis, without the hype.
Podcast + Newsletter91 episodes exploring American identity through conversations on race, misinformation, and AI ethics. Top 20% on Apple Podcasts. Subscribe to the newsletter on Substack.
About Stan
Stan Berteloot holds dual French-American nationality, grew up across both countries, and studied journalism and political science at the University of Maryland. Journalism training produces a specific capability: finding what is actually true about a market, identifying the moment that matters, and building the message that fits it. That is what signal-based demand generation requires, and it is why the systems he builds tend to produce conversations rather than just sends.
Today he is Chief Innovation Officer at Nytro Marketing, where he leads human and AI specialists serving enterprise software companies, with particular depth in the SAP partner network. Through Altilead, he takes on direct consulting engagements with founders and revenue leaders who need strategy and execution in a single engagement, from brief to live pipeline.
Stan also co-founded Share My Meals, a Princeton-based nonprofit fighting food waste, and runs GoGo Grocer, a food-tech platform helping communities access grocery resources. Both required building GTM from zero, which shapes how he approaches client work.
Bilingual in English and French, conversational in Spanish. Princeton, New Jersey. Eastern Time. Clients in North America and Europe.
Credentials
Common questions
What is Altilead?
Altilead is the private consulting practice of Stanislas Berteloot, a strategic marketing consultant based in Princeton, NJ. Altilead works with B2B technology companies to build AI-native demand engines, combining autonomous AI agent infrastructure with precision outbound and GTM strategy.
What does Stan Berteloot specialize in?
Stan specializes in AI-powered outbound marketing, B2B demand generation, and GTM strategy for technology companies, particularly for companies in the SAP partner network, enterprise software, and technology services. He also builds custom AI agent teams for marketing operations and is a recognized voice on AI's practical impact on marketing teams.
Who are Stan Berteloot's clients?
Stan works with B2B technology companies, SAP partners, PE-backed firms, and growth-stage startups building their first scalable demand engine. His clients include enterprise software consultancies, global staffing firms, and technology platforms across North America and Europe.
What AI tools does Stan Berteloot use?
Stan builds on Anthropic Claude and Claude Code for AI agent infrastructure. His outbound stack runs on Apollo.io, SmartLead, Clay, HubSpot, LinkedIn Sales Navigator, and PhantomBuster, all integrated with custom agents that handle sequencing, personalization, reply classification, and CRM sync. He is a HubSpot Solutions Partner (2023).
What is VoiceStream?
VoiceStream is an AI-powered platform Stan built for thought leaders to create daily news briefings and expert digests from their areas of expertise, delivered as audio podcasts or newsletters. It is used by clients in the SAP partner community and powers several AI-generated industry publications.
Who is a good fit for working with Stan?
B2B technology and professional services companies with a defined ICP, a sales motion already in place to handle inbound pipeline, and a market large enough for signal-based outreach (typically 50,000 or more addressable contacts). Best fit: companies that have tried outbound before and hit a ceiling on results, or are scaling into a new market and need infrastructure from day one.
Who is probably not a good fit?
Companies with a total addressable market under 20,000 contacts, pre-revenue startups with no sales process yet, or teams that need a senior salesperson rather than a demand infrastructure builder. If the primary need is closing deals rather than generating qualified pipeline, Altilead is not the right fit.
How can I work with Stan Berteloot?
Use the contact form on this page. Describe your situation briefly: company, stage, and what you are trying to solve. Stan responds within one business day and is based in Princeton, NJ, working with clients across North America and Europe.
