Autonomy for
every business.

We model how your company operates. Then build AI systems that run it better.

Our clients

Lulu & GeorgiaShakewellIke Behar10Mark HoldingsHorizon Dental GroupLazar & CompanyAmoroso Companies

We are designers, engineers, and operators
applying frontier AI to the essential workflows
of the SMB and mid-market.

SOC 2Financial servicesEcommerceManufacturingHealthcareCRECPGHIPAA

Latest builds.

Insurance verification

Eligibility and benefits checked before the patient sits down. No phone tree, no fax-back, no morning backlog.

Date
July 2026
Industry
Healthcare
Status
In production

Payroll automation

Time sheets become a reviewable payroll draft. Unusual entries surface with the reason attached; a human decides.

Date
August 2026
Industry
Accounting
Status
In production

Product compliance

Vendor and product records checked on every SKU as it lands, furniture regulations included, not in a quarterly scramble.

Date
June 2026
Industry
Commerce
Status
In production

Agents in Slack

Company-wide agents where the team already works. They answer from the same model the portal runs on.

Date
August 2026
Industry
Commerce
Status
In production

Vendor operations

Onboarding, purchase orders, and the back-and-forth that eats a merch team.

Date
September 2026
Industry
Commerce
Status
In build

Company brain

The full model of a real-estate operation: every building, lease, tenant, and counterparty as one linked model agents can act on.

Date
September 2026
Industry
Real estate
Status
In build

Investor reporting

Investor and lender reports generated from live portfolio state on a schedule, not rebuilt by hand each quarter from stale files.

Date
October 2026
Industry
Real estate
Status
In build

Solutions.

The same platform underneath, shaped to your industry.

From information
to operation.

We start by understanding how your people work. Then we automate as much of the repeat work as we can and bring the important decisions into Marzy.

Discover MarzyOS

Learn the work.

We audit your workflows with your people. We capture and model the steps, systems, handoffs, and exceptions.

Automate the routine.

We connect your systems and build as much autonomy as possible.

Keep people on what matters.

Your employees use one custom Marzy portal to review exceptions, make decisions, and propel work forward.

Your AI is only as good as the ontology it reasons over.

Explore the ontology

It all comes together.

Your systems, your data, and the way your team already works, running as one operation.

Connections0 / 6

  • DenticonConnecting
  • Delta Dental portalConnecting
  • MetLife portalConnecting
  • Microsoft 365Connecting
  • QuickBooksConnecting
  • SikkaConnecting
create table patient (
  id          uuid primary key,
  tenant_id   uuid not null,
  first_name  text,
  last_name   text,
  member_id   text,
  payer       text,
  plan        uuid references plan,
  next_appointment date,
  eligibility_status text,
  eligibility_checked_at timestamptz
);

alter table patient
  enable row level security;

DataFrom fragmented to ontologized.

var Module = core.Module{
  Name: "eligibility",
  Objects: []core.Object{
    Patient, Plan, Check,
  },
  Actions: []core.Action{
    VerifyPatient, RecordBenefits,
  },
  Tools: []core.Tool{
    PayerPortal, Chart, Schedule,
  },
  Skills: []core.Skill{
    "insurance verification",
  },
}

Which patients tomorrow still need an insurance check?

Fourteen. Nine Delta, four MetLife, one Cigna. I have queued the portals for tonight and flagged two plans that changed since the last visit.

Ask anything

LogicFrom tribal to encoded.

eligibility / nightlyWorking

  1. check1,412 in the windowqueued
  2. portalDelta Dental loginok
  3. readcoverage, maximums1,398
  4. flag14 need a personheld
  5. writeback to the chartdone
6:12 AM

Tonight’s eligibility pass is done. 1,412 patients checked, 1,398 verified and written back to the chart. 14 are held for a person to look at before their visits. The list is in the thread.

ActionFrom manual to autonomous.