I’ve spent the past decade helping small businesses fight battles most tech companies don’t even know exist.

Not the flashy ones about innovation or disruption.
The quiet ones.

The kind where a veterinary clinic is still using paper forms and a fax machine.
Where a law firm has to dig through email threads just to find the latest client document.
Where the receptionist in a medical office is the IT department, HR, and front-line support all in one.

These businesses are the backbone of our country. And they are being left behind.

Big AI companies are too focused on features. They’re obsessed with dashboards, analytics, chatbots, and customer journey maps.

Small businesses? They just need someone to pick up the phone.
Or remember to send the invoice.
Or summarize a 20-page legal document.

So we built TechTide to solve that gap.

Not with theory. Not with pitch decks.
With real tools.

Why General AI Isn’t Enough

When ChatGPT exploded, everyone asked the same question.

How can I use this for my business?

It’s a fair question. But the answers they got were vague.

“Use it to write better emails.”
“Ask it for marketing ideas.”
“Have it summarize your notes.”

The problem is, these tips were made for freelancers and startups. Not law firms with compliance rules. Not CPA offices that deal with secure client data. Not vet clinics with back-to-back patients.

So when we started building AI agents, we focused on one thing.
Vertical-specific pain.

Not just general intelligence.
We needed domain memory.
We needed tools that understood context.

When a lawyer says “intake,” they don’t mean the same thing as a real estate agent.
When a vet says “SOAP note,” they don’t mean something you clean with.

General AI doesn’t get that.
Our agents do.

Building From the Bottom Up

TechTide AI builds what we call “human-first agents.”

Not AI that tries to act like a person.
But AI that understands what people really need.

Our first product was a voice-powered receptionist for law firms.

Her name is Ellie Cozy.

She answers the phone. She books appointments. She logs client notes into Clio.

She even learns the tone of your practice, so she can answer like your best receptionist would.

Next, we built Veronica.

She is for solo entrepreneurs drowning in admin.
She reads your emails, finds your calendar gaps, and follows up with leads.

Ellie works with your team.
Veronica works for you.

Same brain. Two faces.
One unified system.

The Cybersecurity Problem No One Talks About

But none of this works if your data is not safe.

That is where most AI companies fail.

They build fast.
They ignore security.

But small businesses cannot afford breaches.
A single exposed document could end a career.
A missed compliance checkbox could lead to lawsuits.

That is why we built TechTide AI with cybersecurity from day one.

We use a multi-layered protection model.

Data is encrypted at rest and in transit.
Agent memory is isolated per user or firm.
Voice logs and summaries are stored in secure vaults, not cloud folders.

We also built our own fallback system.
If the AI gets stuck or a network fails, we have human-reviewed workflows that pick up the slack.

Because real AI is not just about automation.
It is about trust.

The MSP Edge

What most people do not know is that TechTide is more than an AI company.
We also run a managed services company.

That means we are in the trenches every day with small business tech problems.

We see the spam emails that get through.
We clean up the ransomware attacks.
We install the firewalls.
We answer the 2AM calls.

That gives us an edge.
We don’t build in a lab. We build on-site.

So when we create an AI tool, we already know the limitations of the phone system, the firewall, the email server.
We do not have to guess.

What’s Next

We launch publicly on June 11.
That day we will release six AI agents across law, real estate, accounting, medical, veterinary, and internal operations.

Each one will be secure.
Each one will be useful.
Each one will be priced so that a 3-person law firm or a 5-person vet office can afford it.

Because AI should not just be for big companies.
It should be for the people doing the real work.

If you are one of them, this was built for you.