Our Purpose

Hello World,

We believe that AI agents will become teammates, coworkers, and employees while their capabilities will be commoditized. What's missing is accessing the private context of companies, which is only unlocked through hard-earned accountability and trust. Agencies already deliver both today.

And the market proves it. Today, companies pay agencies over $4T every year in the US alone. Businesses want the job done, not tools they have to learn and use themselves. They want their unique problems solved by capable, trusted, and accountable service providers who take the work off their plate—like marketing, recruiting, IT, accounting, legal, and more.

And the market's demand is only growing. Since ChatGPT arrived, the professional services market has accelerated annual growth from 4% to 6%, a 50% increase.

Take one agency owner, Bob. Bob runs the best beauty product rebranding agency around, all over Slack: 20 clients, 4 services, 15 employees, $5M in revenue a year.

And Bob is set up to win. He's incentivized to earn more by delivering more. He's trusted by his clients and sits next to their problems. He's focused on one particular niche, and he's adaptable to the next problems only he sees first.

But he's stuck. To serve more clients, he needs to hire. Like everyone else running a company today, he's trying to hire AI agents. But because his unique team is his livelihood, he can't rent or resell someone else's agents. Bob needs to keep the client relationships, the outcomes, and the revenue.

So to keep pace with the current market, Bob has to build his own AI agents.

But building agents isn't built for Bob. Building them is technically complex. Model weights, tokens, effort, reasoning, memory, skills, tools, artifacts—he has to hire someone just to learn it.

Even when he finally builds them, how does he get his team to work with these new agents?

Who teaches them the intricacies of what to say and not say with agents? It's a whole new way of operating—and digital transformation is not easier at an agency than at an enterprise.

Now a month in, the agents he's using keep mixing up one client with another. They can't keep client context separate and straight. It turns out that all that advice on building agents was designed for scalable enterprises—not nimble agencies that operate across companies. Is he going to have to start all over?

This is when Bob finds Ergoly.

Ergoly solves Bob's problems with our AI teammate platform. Ergoly's platform helps Bob hire completely new agents that we call teammates. Instead of being scoped to a particular workflow or function, Ergoly teammates take a job role and responsibilities on Bob's org chart. Just like a new hire, Bob hires a new Ergoly teammate for any missing role on his team. Bob's people become managers of their own unique teams of Ergoly teammates.

Ergoly teammates build themselves from Bob's team and expertise: he explains the job the way he would to a new hire, and his Ergoly teammates set themselves up on their own. No technical knowledge or tokens to manage.

Bob's team already works in Slack, so that is where the teammates work too: in team channels, internal channels, and even client-facing shared channels. There isn't a new system that changes his team's culture or way of working. His team already knows how to work with their new Ergoly teammates, because it's how they work with each other every day. No digital transformation required.

And that client separation problem? Ergoly has solved it. Purpose-built for agencies, Ergoly teammates deterministically spin up thousands of context-siloed agents automatically. Each conversation gets just what it needs, on the fly. Every teammate keeps each client's knowledge, skills, and connections apart, so one client agent never sees another client's brand or preferences.

Most importantly, the result is the perfect client services team, owned by Bob. His unique team of humans and AI teammates is uniquely his. Ergoly uses open-weight models, never trains or shares data, and is on a mission to serve Bob—not Bob's clients. Ergoly isn't selling expertise, only infrastructure. No one else in the world has Bob's expertise—and Bob will maintain his competitive edge on Ergoly.

Ergoly is the platform. Bob's agency built their own AI teammates. His teammates work for his clients. Bob keeps the relationship and the revenue.

While Amazon tried to centralize commerce, Shopify armed millions of merchants who brought their own shoppers. And it worked—today, Shopify does almost half of the sales (GMV) that Amazon.com does every year. While OpenAI and Anthropic are trying to centralize work, Ergoly arms the Bobs—the merchants of knowledge—and the Bobs bring their clients onto our platform. Ergoly wins when Bob wins.

We've lived Bob's world for 25 years. Dan founded, ran, and scaled a development consultancy for eight years. AJ ran a 24-person design agency, building AI products for Goodyear, Airbus, TDK and Anglo American.

We've delivered over $50M in services to the world's most demanding clients. Together we co-founded Tarka, a GTM agency, ran into Bob's problems, and built Ergoly to solve them for ourselves.

Besides needing this for ourselves, we tested market demand for one week in September. In just that one week, we generated an interested pipeline of $1.5M ARR across 30 firms. We've hand-selected the first agencies to scale the Ergoly platform and refine the right teammate experience. One of our early agencies has already seen incredible gains. The founder, Apurva, told us:

Her expertise wasn't replaced by AI. Her firm tripled in scale.

We're raising to build the self-service machine. We joined AI House (fka AI2 Incubator) in Seattle in August and are now a strong team of 4. We're hiring 4 more humans across Product, Platform, Customer Success, and Growth, each leading a massive team of Ergoly teammates.

We'll build the perfect self-learning teammate platform that scales Ergoly. Tasks, teams, roles, behaviors: all self-learning. Teammates look back on their day and come in better. They learn each client from the past work in Slack. They suggest the next step and ask their manager for approval, and then they bring clients the next step before they ask.

Today it takes 6 weeks to activate an agency. With self-learning teammates, it will only take 1 day to see that value.

That gets us to our first 100 Bobs. But that's just the beginning—a fraction of the 2.5 million Bobs in the US alone.

We're on a mission to scale the millions of agencies, each with its own perfect team of humans and Ergoly teammates, thriving in an economy where they will continue to drive value with Ergoly's help.

Shopify became the platform for independent commerce. Ergoly will be the platform for independent services.