Algorithmic Investor Marketing, Transactions & IR

We tell stories about money.
To machines.
For humans.

When markets look at your company, algorithms see it first. We shape what they find, so you stay investable for people who still decide.

01The Problem

Markets price by the microsecond. Your story updates by the quarter.

If you’re public

Algorithms reprice you continuously, every trading day, mostly without fresh information from you.

If you’re private or raising

Due diligence now starts with AI, and the first answer usually isn’t yours.

02A Simple Test

Would you market your product like this?

01

You talk to buyers a handful of days per year.

02

You have no direct line to most of them.

03

You update a generic website mostly with dense legal filings.

04

The rest of the year, markets and buyers fill in the blanks for you.

This is how thousands of companies still target investors.

Quarterly calls, conferences, NDRs, and coverage by analyst and press still matter. We just optimize them for trading that never sleeps.

03What We Do

Investor and financial marketing, built for AI and algorithmic markets.

Machine intelligence and analysis. Human experience, creativity, strategy, and execution. One blended program that makes what you already do work for machines as well as people.

01

See what algorithms see

We learn how AI, search, and trading systems describe your business, or combination, today.

02

Rebuild for both machines and people

We remake your story and content to read cleanly for both.

03

Lead the market

We refresh it continuously, news or no news, building a following that compounds.

04

Optimize

We track trading and traffic against what’s discoverable, and adjust in real time. Public or private, your business becomes investable.

No paid influencers, no chatroom bots, though we understand both.

04Evidence

See it in the trading and the traffic.

We benchmark three things and measure dozens. We deal in correlation, not credit we didn’t earn. When a move is noise, we say so.

M01

How often you actually show up in the market.Most companies do far less than they think.

M02

What you leave on the table on the days you stay silent.

M03

How your volume, price, and traffic change on the days you show up.

Mid-cap / Public

A mispriced mid-cap hardware company. Over 18 months its multiple re-rated toward its true peers. Then an acquirer paid 45% over market, confirming the value in cash.

Newly Public

A company stuck on a low-tech multiple. At IPO it re-rated toward the advanced peers it actually belonged with.

Private / Raising

A deep-tech company raising capital. We reset how AI tools and diligence platforms described its category, so investors arrived already fluent in the story.

05Companies We Have Advised
Synaptics
Microsoft
Dell
Morgan Stanley
PepsiCo
Rivian
Roku
NextPower
ValueAct Capital
Pandora
Axalta
DraftKings
Eventbrite
Casper
Stitch Fix
Opera
Telstra
Trulia
Comtech
Noom
Masterworks
Orchestra BioMed
Kimpton Hotels
thredUp
WorldRemit
Hivemind
Life Biosciences
Element Energy
Interactive Strength
Babylist
Firstleaf
Hevolution
ZaiNar
06The Firm

Decades of experience applied to a brand new future.

Sinter is an investor marketing and IR firm built for AI ecosystems and algorithmic trading. We bring systems thinking, applied AI, and human craft into one program, run alongside your team and counsel.

We have guided some of the biggest names in tech, media, and finance through IPOs, earnings, and billions in M&A, and now bring that to the companies most people overlook. The longer we work with you, the steadier your value gets, and we take only the clients that keep us curious.

Where We Go Deep
01

New and smaller public companies that analysts and the press often ignore.

02

New kinds of technology the market has no name for yet.

03

Big moments, like raising, going public, turning around, or selling.

07Start Here

See what the machines say about your company.

We’ll check it for free. Then we’ll show you how AI tools, search engines, and analysts describe your company today, what they get wrong, and how to fix it.