Trusted by 500+ of the world's top brands
The pod + the platform.
A forward-deployed engineering, design, and operations pod — plus the embedded suite they ship on. One engagement. One monthly fee.
Your customers don't want tools anymore. They want outcomes.
The platforms that win the next cycle will ship services inside their product — marketing, accounting, compliance, CRM — without building a services org. That's what Mozart is.
Average ARPU lift
DAU increase
From kickoff to live
What your customers are about to demand.
These are the services-as-software pieces we drop into your platform — white-labeled to your brand, coordinated by the same listening layer underneath.
Your customers get a full marketing org in-product: copy, journeys, segmentation, ads, and reporting — drafted, scheduled, and reported on without anyone opening another tool.
Explore Ship campaigns, not briefsBookkeeping, reconciliation, and owner-friendly reporting run on autopilot inside your platform — so your customers stop chasing receipts and your churn from financial chaos goes away.
Explore Close the books on time, every monthEvery contact, deal, and signal stitched into one graph with AI suggesting the next move — so your customers stop guessing what to do and start closing.
Explore Turn customer data into next-best actionsNatural-language reporting on your customers' own data — so 'what changed last week?' takes a sentence to answer instead of a BI project.
Explore Answer business questions in secondsTransactional and lifecycle email + SMS that actually land, written and timed by AI — so retention stops leaking and support stops repeating itself.
Explore Reach every customer at the right momentPre-built and custom agents that do the work — quotes, intake, follow-ups, recoveries — embedded in your product and branded as you.
Explore Deploy a digital workforce in every accountWhat your customers are about to demand.
Ship campaigns, not briefs
Your customers get a full marketing org in-product: copy, journeys, segmentation, ads, and reporting — drafted, scheduled, and reported on without anyone opening another tool.
Systems that never spoke.
Embedded widgets bolted on. None of them talking.
Now sing together.
Mozart sits in the middle and conducts. Every tool — yours and ours — finally on the same beat.
A chief of staff
who follows you anywhere.
Once your team and your platform are in sync, you get Wolfgang — Mozart in your pocket. Ask anything, approve in one tap, snap a receipt. From the pickup line, the airport, or your couch.
Board meetings, donor history, last week's numbers — searchable in seconds.
Ask Wolfgang anythingSocial posts, gala invites, campaign sends — queued for one-tap signoff in iMessage.
Set up approvalsText a receipt. Wolfgang categorizes it, logs it, and your books stay current.
Send a receiptWe beat every alternative.
| Category | Build It Yourself Hire engineers, ship in-house | Hire an Agency Outsourced dev shop | Stitch SaaS Tools Off-the-shelf point tools | Mozart Works Forward-deployed, branded as you |
|---|---|---|---|---|
| People | 2–6 engineers and a PM, plus design and ops you don't have yet. | An account lead and contractors who'll churn off mid-project. | Your existing team, learning six new admin panels. | A forward-deployed pod of engineers, designers, and operators. |
| Software | Greenfield code on top of LLM APIs you'll have to maintain. | Custom code you don't own the roadmap for. | Marketing + accounting + CRM + comms + analytics, separately. | An embedded suite — agents and services on your ontology. |
| Integration | Months wiring data, auth, billing, and ontology before launch. | One-off glue code that ages out the day they hand it off. | Zapier, webhooks, and a data team to keep it standing. | Listening layer + ontology already done — services plug in. |
| Time to live | 9–18 months to a credible v1. | 4–6 months per scope, then renegotiate. | Ships fast, breaks faster as your customers scale. | Six weeks from kickoff to live, branded as you. |
| Annual cost | $1M+/yr in fully-loaded headcount before revenue. | $400–800K/yr, with no IP and no team after. | $120–300K/yr in licenses + the people to run them. | A fraction of an in-house build — team and platform included. |
- People
- 2–6 engineers and a PM, plus design and ops you don't have yet.
- Software
- Greenfield code on top of LLM APIs you'll have to maintain.
- Integration
- Months wiring data, auth, billing, and ontology before launch.
- Time to live
- 9–18 months to a credible v1.
- Annual cost
- $1M+/yr in fully-loaded headcount before revenue.
- People
- An account lead and contractors who'll churn off mid-project.
- Software
- Custom code you don't own the roadmap for.
- Integration
- One-off glue code that ages out the day they hand it off.
- Time to live
- 4–6 months per scope, then renegotiate.
- Annual cost
- $400–800K/yr, with no IP and no team after.
- People
- Your existing team, learning six new admin panels.
- Software
- Marketing + accounting + CRM + comms + analytics, separately.
- Integration
- Zapier, webhooks, and a data team to keep it standing.
- Time to live
- Ships fast, breaks faster as your customers scale.
- Annual cost
- $120–300K/yr in licenses + the people to run them.
- People
- A forward-deployed pod of engineers, designers, and operators.
- Software
- An embedded suite — agents and services on your ontology.
- Integration
- Listening layer + ontology already done — services plug in.
- Time to live
- Six weeks from kickoff to live, branded as you.
- Annual cost
- A fraction of an in-house build — team and platform included.
Full-service team, powerful platform, or free tools to start. Work with a team that's purposefully built to ship services, not software.
Flexible subscription model
Start small and scale on demand. Add seats when campaigns ramp, scale back when they don't — no rigid annual contract.
Top global engineering talent
Senior engineers, designers, and PMs already vetted, already onboarded — embedded into your roadmap on day one.
AI-first services systems
An AI layer that listens, prioritizes, and ships work — so the same team produces three times the throughput.