Who buys AETHER-33 memory, and where to find them

The person who feels the pain is not always the person who pays. Know both.

The people you will talk to

Role	What keeps them up at night	Say this to them
Agent developer	Memory that is safe by default.	"Free to try; memories never give orders."
Security lead	Memory poisoning.	"Injected text is quarantined."

A good prospect looks like this

Agent with long-term memory.
Memory fed from untrusted input (emails, web, tickets).

Trigger events: when to reach out

People buy when something just happened. Watch for these:

Adding memory to an agent.
News of memory poisoning.

Where to find them

Agent developer communities.
LinkedIn agent builders.
The MCP server listing.

Who is not a buyer (save your time)

Anyone needing production-hardened, replicated, encrypted storage today.
Semantic (embedding) search needs.

Qualify before you pitch

Five checks. Pursue when at least four are true; otherwise keep in touch and move on.

Check	Pursue when	Ask
Need	They answer yes to at least two sizing questions (page 2).	Does your agent remember between sessions?
Budget	They can approve about free without a long purchasing process.	"Who signs off on a purchase of this size?"
Authority	You are talking to, or can reach, one of the roles in the table above.	"Who else would want to see this?"
Timing	One of the trigger events is happening in the next 60 days.	"Is there a date this needs to be solved by?"
Fit	They match most of the good-prospect list.	Does your agent have memory?

Search strings that find prospects

LinkedIn or Google: "agent memory" together with a role from the table above
LinkedIn or Google: "memory poisoning" together with a role from the table above
LinkedIn or Google: "long-term memory AI" together with a role from the table above
LinkedIn or Google: "MCP memory server" together with a role from the table above

Research a prospect in ten minutes

Website (2 min). What do they sell, and to whom? Do they mention AI agents, automation, an MCP server, a "trust" or "security" page?
Careers page (2 min). Job ads tell you their problems: "AI platform engineer", "security questionnaire", "agent", "LLM", "SOC 2", "GRC".
LinkedIn (3 min). Find the person in the right role (page 3 table). Read their last few posts. Note one thing they said in their own words.
Public engineering traces (2 min). A GitHub organisation, an engineering blog, a status page or a listing in an MCP registry.
Write one sentence (1 min). "I think [company] has [problem] because [evidence]." If you cannot write it, do not contact them yet.

A simple daily routine

Outreach first, every day, before anything else: research and write to a handful of new, well-matched people. Quality beats volume; a personal message that names their real situation is worth twenty templates.
Follow up on messages that are three days old, once. After two follow-ups with no answer, stop.
Log everything in one sheet: date, company, person, role, what they said, offer, price, next step and date.
End of week: count calls booked, proposals sent and payments received. That is the scoreboard.

Next: the sales conversation →

FIRME AI CORPORATION · CAIN-42 is a Byzantine trust fabric. Numbers marked "our own check" were run by us, not by an independent party. Nothing on these pages is a certification.