Most marketing agencies tell their AI origin story in years. We tell ours in patents, exits, and the compounding returns of portfolio companies we helped build from founder-stage to eight-figure ARR. This is the long version of that story — unglossed, useful, written for the operator doing diligence.
210 Digital Marketing was founded on a bet most agencies never make: that the hardest vertical in American commerce would also be the one worth learning for life. Healthcare. Regulated, relationship-driven, slow to trust, and unforgiving of generalists. We made the decision early and we have honored it every year since.
Our first decade was the classroom. Provider networks. Urgent care rollups. Specialty practices. The unglamorous work of understanding clinical buyers, payer dynamics, HIPAA constraints, and the cadence of patient acquisition in the pre-iPhone era. The pattern recognition built in those years is still how we move today.
Most agencies treat healthcare as an industry they can learn on your dime. We learned it already.
Between 2015 and 2020 — years before the consumer AI wave — our team was inside research labs and product organizations working on the primitives that the rest of the industry now calls artificial intelligence. Two of those efforts resulted in issued U.S. patents. Not applications. Not pending. Granted.
“The agencies who pivoted to AI in 2023 are still learning what the word means. We have been implementing it inside regulated healthcare environments since before the term had a category.”
We mention the patents not as vanity credentials but as proof of a discipline. Patent examiners do not care about buzzwords. They care about novelty, utility, and prior art. The work that survives that filter is not the same genre as the work that wins a conference keynote.
A patented method applying artificial intelligence to biometric identification and authentication workflows. Relevance to healthcare: patient identity verification, consent capture, and anti-fraud surfaces inside telehealth and digital front doors. This is the engineering lineage behind our AI-implementation practice.
A patented mixed-reality system bridging physical and digital environments. Relevance to healthcare: clinical training, patient education, and immersive brand experiences. Mixed reality is how we think about the next decade of patient-provider interfaces.
One of the companies our team served from early-stage growth through strategic acquisition exited in the nine figures. The specific dollar amount is covered by a non-disclosure agreement and we will not publish it. What we will publish is the pattern.
The company was a telemedicine operator. We were embedded in the growth architecture across multiple phases: early patient acquisition engineering, brand platform development, performance marketing at scale, clinical-market messaging, and late-stage positioning for acquirer diligence. The engagement was not a campaign. It was the operating system under the growth number.
Under MNDA, we will introduce diligence partners to primary references familiar with the work. The exit is real. The team is still here. The playbook is now available to the next operator willing to run it.
The most concentrated body of current work is in California behavioral health. Five active portfolio companies have been grown from approximately $100,000 in annual recurring revenue to $20M-plus under our partnership. Several are still scaling.
Behavioral health is the hardest marketing environment in American healthcare — admissions cycles measured in hours, payer-mix sensitivity that can move the unit economics by a quarter overnight, clinical ethics that cannot be compromised for growth, and a regulatory surface that changes under you.
The playbook that moves a behavioral health operator from founder-stage to eight-figure ARR is not a media plan. It is an integrated system — admissions engineering, clinical brand, payer-mix optimization, operational AI, and the internal capability to keep it running after the retainer ends. That is what we build.
“We do not sell volume. We architect the admissions system that produces the right patient, at the right clinical match, at the right payer mix — and scales without breaking.”
Our firm is senior-only. There is no offshore content factory. There is no junior staff augmentation line. Every engagement is delivered by operators with 10-plus years of healthcare experience and direct AI implementation work under their belt. That is why our client list is deliberately small.
We architect growth systems for healthcare companies. We implement AI inside those systems — production, not prototype. We engineer content that ranks in Google and gets cited in ChatGPT, Gemini, Perplexity, and Claude. We speak the dialect of the C-suite and the dialect of the CMIO. We build the internal capability so your team can run the machine after we are gone.
We will not sell AI as a buzzword on a services menu. We will not run a campaign without a measurement architecture that survives privacy changes. We will not take a client where ethics and HIPAA are treated as line items. We will not install a vendor for fee-share reasons. We will not scale you with patient volume that hurts your clinical reputation.
Engagements typically begin with a 60-minute strategic intake. If the fit is real, we move to a defined scope or retainer. We are not the cheapest option available to healthcare operators. We are the partner you engage when the cost of under-shipping the growth number is higher than the cost of getting it right.
We deploy inside Microsoft Azure, Amazon Web Services, and Google Cloud. We work fluently across Anthropic Claude, Google Gemini, OpenAI GPT, and open-source weights including Llama, Mistral, Qwen, and DeepSeek. For HIPAA-sensitive workloads where sending protected health information off-device is unacceptable, we deploy on-device inference hardware running local models.
Most agencies have a vendor. Most agencies have a fee-share relationship that bends their recommendations. We do not. Our recommendations are driven by the workload, the compliance envelope, and the operating cost — not the kickback structure.
The healthcare executive reading this knows exactly why that matters.
Production deployments across all three majors.
Claude, Gemini, GPT — selected per workload.
For fine-tuning, cost, and sovereignty.
For HIPAA-sensitive workloads where PHI cannot leave the device.
The work is the proof. Here is the outline of it.
Provider networks, urgent care, specialty practices.
Early patient acquisition engineering for digital-first healthcare operators.
Biometrics and mixed-reality engineering inside regulated environments.
AI + biometrics. United States Patent and Trademark Office.
Mixed-reality system. Foundational lineage for current immersive healthcare work.
Strategic acquisition of a client operator. Amount undisclosed by NDA.
Five California operators grown into eight-figure ARR.
Fully productized AI implementation practice across cloud, model, and on-device deployment.
We work with a small number of healthcare leaders each year. The strategic intake is free. Whether we become your partner is a decision you make after it.