MLR-compliant content & SEO
Medical, legal, and regulatory-reviewed content at scale: clinical summaries, market-access content, patient education, and HCP-facing assets that pass your MLR workflow without a rewrite.
04 Verticals · Healthcare
Marketing & AI for
healthcare & medtech.
We run MLR-compliant marketing and HIPAA-aware AI for healthcare and medtech operators — the ones surviving IRB, FDA, procurement at a health system, and every payer in between. Content, demand, and brand on one side; PA copilots, patient-intake automation, and admin AI on the other.
KacificSatellite Internet · SG
FlexxonNAND Solutions · SG
X-PHY IncCybersecurity · US
Gauze CareMedical Products · US
NDAB2B SaaS · US
NDAFintech · SG
NDAClimate & Energy · APAC
NDALogistics · US
Healthcare sells on governance, compounds on trust.
Nine out of ten healthcare marketing campaigns fail MLR review or get buried inside a payer's content policy. Nine out of ten AI pilots die between prototype and IT security review. The failure mode is the same on both sides: a team that wrote the asset before it wrote the approval plan.
We start with governance. MLR workflow, PHI inventory, BAA coverage, data-minimization plan, and the eval harness that proves the system works before a clinician touches it — on the marketing and the automation alike.
We've shipped for Gauze Care (US medical products) and several NDA medtech clients across the US and Singapore. Finyki is remote-first, with teams across the United States and Singapore — the US side signs BAAs and leads HIPAA-scoped engagements.
02 What we run in Healthcare
Service shapes across marketing
and AI, tuned to healthcare.
Every engagement scopes PHI boundaries and MLR review first — then we build against them.
HCP / B2B medtech ABM
Account-level programs reaching HCPs, hospital procurement, and medtech buying committees. Paid search, LinkedIn, and targeted placements scoped against payer and IDN landscape.
BAA-compliant marketing & patient platform
Healthcare websites with PHI boundaries, cookie consent, audit trails, and HIPAA-aware contact surfaces baked in. Your marketing team ships without breaking a privacy control.
Prior-auth & claims copilots
Agents that draft prior-authorizations and appeals against payor-specific requirements. Human-in-the-loop for submission, full audit trail for the RAC or payor review.
Patient-intake & triage automation
HIPAA-compliant intake workflows that structure free-text input, verify insurance, and route to the right clinical queue — without the six-screen portal your patients abandon today.
Scheduling & referral routing
Intelligent scheduling, referral-leakage detection, and the no-show copilot that cuts cancellation chains before they start. Built on top of your EHR, not around it.
Why most healthcare agencies plateau.
No BAA, no deployment. No MLR, no campaign. If the content can't pass MLR, it doesn't ship. If the vendor can't sign a BAA that covers the actual data flow, the AI pilot dies. We scope both with your privacy and regulatory teams before a prompt or a headline gets written.
The eval set was synthetic. The messaging was generic. Clinical workflows eval'd on synthetic records are a safety story. HCP campaigns written without specialty-specific insight get deleted. Both fail for the same reason: no real data in the design loop.
Nobody owned the drift or the regulatory updates. Clinical AI drifts. Regulatory language drifts too — FDA, HSA, and MOH guidance changes. Without a monitoring plan, a campaign that worked in March is a compliance event in September.
The work was 20% model, 20% message, 60% nothing. Most vendors deliver the asset and skip the workflow integration, consent surfaces, MLR documentation, and change management. We ship the 80% everyone else calls 'out of scope.'
03 Proof
Healthcare teams already operating
on what we built.
US · Medical Products · SEO + Content AI
Gauze Care
Redesigned the e-commerce and B2B ordering experience, plus a content AI pipeline that drafts category pages and product comparisons against regulatory-cleared claim boundaries. Shipped inside the client's MLR review workflow.
- +48%Organic sessions
- 3.1×B2B inquiries
- 100%MLR-compliant
US · Digital Health · Admin AI
NDA · Specialty Clinic Network
Shipped the prior-authorization copilot now used across 40+ clinics, alongside the HCP-facing content program that runs quarterly. Paid back in the first billing cycle.
- -63%PA draft time
- +29%First-pass approval
- $1.8MAnnualized recovery
How an engagement usually starts.
Week 0 — Scoping call (free). Forty-five minutes on your call, not ours. You describe the workflow that's bleeding time, the demand program that's plateaued, or the system that's stuck. We tell you which lever is the right first move, and roughly what shape the engagement would take.
Week 1 — Written scope. A one-page scope with the specific agent, workflow, or marketing program, the success metrics, the eval or measurement plan, and the cost. No 60-slide proposal.
Weeks 2–6 — Build. You see working output by the end of week 2, iterated weekly. Evals, analytics, or campaigns run against real production data from week 3. Your team joins the build reviews.
Week 6+ — Handover & operate. Full documentation ships to your repo, your CRM, your ad accounts. Your team runs it. We stay on for operate-and-improve retainer if you want us — many clients keep us for 18+ months. Many don't. Both are fine.
04 Questions Healthcare teams ask
Usually in this order.
Do you do both healthcare marketing and AI?
Yes. MLR-compliant content, HCP / patient ABM, and BAA-compliant websites on the marketing side; prior-auth copilots, intake automation, and clinical-ops AI on the automation side. Same engagement, same governance framework.
Are you HIPAA-aware? Can you sign a BAA?
Yes. Our US entity signs BAAs. Our deployment and marketing patterns are designed for HIPAA-compliant workflows: de-identification where possible, least-privilege access, audit logging, and consent surfaces that match your privacy officer's expectations.
What about Singapore — PDPA, HealthTech.SG, or MoH guidelines?
We scope PDPA and the MoH's AI-in-health guidance at kickoff. For clinical-adjacent workloads we default to human-in-the-loop for material decisions and a model registry your quality team can hand to HSA if the question comes up.
Can AI be used for clinical decisions?
Clinical decision support that augments a licensed clinician — yes, with careful eval and monitoring. Autonomous clinical decisions — no; that's a regulated-device path we don't take on.
How do you run MLR review without blowing timelines?
By scoping it in, not around. We build MLR checkpoints into the content calendar, versioned assets, and an audit trail that stands up under FDA scrutiny. Timelines stretch slightly; the rework cycle shrinks a lot.
Do you work with hospitals or just digital health companies?
Mostly digital health companies and medtech operators selling into hospitals — not as a direct hospital vendor. We're a small studio and we won't take on a two-year hospital RFP cycle.
How long do healthcare engagements take?
10–16 weeks for a first production AI system with a formal governance review. Marketing content and campaigns ship in parallel; first assets through MLR in 4–6 weeks.
Your turn
Book the scoping
call.
Forty-five minutes, your agenda, no slides. You'll leave with a clear read on what the right first move is for your Healthcare team — and a rough shape for the first engagement if it is.