Built by a practitioner, for practitioners
MASSÉ was built by Don Michael Berry II, a 20-year MarTech veteran who has held VP and Director roles building sophisticated intelligence and outreach systems for B2B sales organizations.
When I started my own executive job search, I realized something: I had spent two decades building exactly the kind of system I needed — signal monitoring, intelligence generation, personalized outreach at scale — for companies trying to find customers. And I wasn't using any of that knowledge for myself.
Fourteen months, sixteen companies, and countless applications later, I stopped waiting for the right tools to exist and started building them. MASSÉ is a platform that monitors your target companies for the signals that actually predict hiring, generates real intelligence rather than keyword matches, and helps you reach out at exactly the right moment — before the job is even posted.
Six weeks after launching to a small beta, API costs hit $100/day. I put up a maintenance page, rebuilt it properly with full billing and encryption, and relaunched as themasse.com. The rebuild took three weeks. The product is better for it.
MASSÉ runs on a team of specialized AI agents, each with a distinct responsibility. They work together so you don't have to do the research, monitoring, and drafting yourself.
Powers your Dashboard intelligence briefs. When you open a company card, COMPASS researches it in depth — leadership changes, recent funding, product launches, open roles — and delivers a brief you can act on in minutes.
Drives the signal badges you see on your Companies board. Scout continuously scans your target companies for trigger events — the moments that indicate a team is growing, restructuring, or about to hire.
The engine behind Outreach. MUSE takes the intelligence from COMPASS and the signals from Scout and drafts personalized messages — warm intros, cold emails, LinkedIn DMs — grounded in what's actually happening at that company right now.
Your application tracker. Pipeline keeps every opportunity organized from first outreach through offer, with AI-powered interview prep and follow-up drafts at each stage.
Each agent handles one job well. Together, they power what you see across Companies, Dashboard, Outreach, and Pipeline — the kind of preparation and timing that used to require a full-time research assistant or a lot of late nights.
Running multiple AI agents could easily get expensive. We designed MASSÉ from the ground up to be smart about it.
Different tasks require different levels of reasoning. A quick screening pass doesn't need the same horsepower as a deep intelligence brief. So we route each task to the right model for the job — heavyweight models for the work that matters most, lighter models for the high-volume tasks that don't need it.
The result: you get premium-quality intelligence and outreach at a fraction of what it would cost if every task used the most expensive model. It's the same approach enterprise teams use to manage AI costs at scale — applied here so a single job seeker can afford it.
MASSÉ is built on one belief: the people who get hired at the senior level don't apply to more jobs — they apply to fewer jobs, but they know more about each one.
They have a warm connection before they send the first message. They reach out before the job is posted. They reference the specific thing happening at that company right now — not a boilerplate pitch.
MASSÉ is how you operate that way, without spending 3 hours a day on research. It turns the intelligence work that most people skip into something you can do in minutes.
MASSÉ's core signal-to-outreach pipeline — the method of monitoring trigger events, generating contextual intelligence, correlating network connections, and producing grounded, personalized outreach — is covered by a patent application filed with the USPTO.
The system reflects years of applied experience in B2B signal intelligence, adapted for the individual job seeker for the first time.
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