Best for funded startups ($1M+) shipping AI before next round

We build AI products. You ship to paying users in 90 days.

We take your validated idea from architecture to production with AI integrated. Design, code, deployment, the whole thing. Not for unvalidated ideas (talk to customers first), budgets under $15K, or teams that want staff augmentation.

Full product development from validation to launch. Also covers adding AI to existing products and interface optimization.

Start your project →Explore design systems

From $4,995

Most AI products fail not because of bad models but because of poor integration between the AI layer and the product experience. We handle the whole thing: validation, model selection, data pipelines, interfaces, deployment. You get a working product with real users, not a demo that never ships. This also covers adding AI to existing products and optimizing interfaces for conversion.

90 days

Launch window

Idea to paying users with revenue telemetry wired in.

Weeks

To validation

Dual-LLM research loops compress discovery to weeks, not months, before any code is written.

Critical vulnerabilities

Thread-Based Engineering scans for security issues at generation time under CLAUDE.md governance, so they are caught before code exists, not at deploy.

Why most AI products stall

The model is rarely the problem. Integration is.

We ship the whole system, not the demo.

A demo

A model in a notebook

01Works only in the happy path

02No auth, data, or telemetry

A shipped product

Model wired into the product

01Auth, data pipelines, observability

02Revenue telemetry on day one

The gap: a model that works in isolation is not a product. We build the integration, data, and telemetry that turn it into something real users pay for.

Commercial model

Pricing & Packages

Choose the package that fits your needs. All packages include post-launch support.

01 / Starter

Starter

$4,995-$7,995

Testing ideas, early-stage validation

User research and validation (5-10 interviews)
Wireframes and user flows
Interactive prototype (clickable)
Landing page for early signups
Basic analytics setup
Technical architecture recommendation
Product roadmap (next 6 months)
Success metrics dashboard

Estimated Timeline:3-4 weeks

02 / GrowthMost Popular

Growth

$12,995-$19,995

Only $8K more but includes complete development + AI integration + 2 months support

Production-ready products and SaaS platforms

Everything in Starter, plus:
Complete product design (20-30 screens)
AI integration architecture
Full-stack development (frontend + backend)
User authentication and authorization
Database design and setup
AI model integration (OpenAI, Anthropic)
Admin dashboard
Analytics and telemetry
Deployment and hosting setup
Documentation and handoff
2 months post-launch support

Estimated Timeline:8-12 weeks

03 / Scale

Scale

$29,995-$49,995

Complex AI systems and enterprise platforms

Everything in Growth, plus:
Complete platform architecture (40+ screens)
Multi-tenant infrastructure
Advanced AI capabilities (RAG, agents)
Enterprise security and compliance
Role-based access control
API development and documentation
Admin + client portals
Advanced analytics
Integration with enterprise tools
Scalable infrastructure
Comprehensive documentation
Team training
6 months post-launch support

Estimated Timeline:12-16 weeks

Agency comparison

Why Pixelmojo?

Compare traditional agencies vs our AI-powered approach

Traditional Agency

6-12 month timelines

$50K-$200K+ budgets

Fixed deliverables

Limited revisions

Handoff and done

No ongoing optimization

Pixelmojo (AI-Powered)

4-12 week delivery

$1,995-$49,995 budgets

Flexible and iterative

Collaborative process

Post-launch support included

Built for optimization

Free 30-Min Strategy Call

Let's talk about your project

We'll review your needs, discuss options, and create a custom proposal. No pressure, no obligation.

Book your free call →

Build entry points

Three ways to start

Validate an idea, ship a production product, or build an enterprise platform. You own the code at every tier.

MVP Validation

Testing ideas and early-stage validation

$4,995 to $7,9953 to 4 weeks

Full AI Product

Production-ready products and SaaS platforms

$12,995 to $19,9958 to 12 weeks

Enterprise AI Product

Complex AI systems and enterprise platforms

$29,995 to $49,99512 to 16 weeks

Validation without the drag

Proof before code hits main

Discovery and building happen in parallel. Every prototype gets in front of real users, and we measure against the revenue targets your board already cares about.

01Thread-Based Engineering runs parallel AI workflows with governance checkpoints that catch 'almost right' AI output before it reaches your codebase.

02Weekly telemetry syncs translate live customer behaviour into sprint-ready stories.

03Revenue instrumentation ships inside prototypes so leadership sees ARR impact instantly.

Proof before code hits main

01Prototype with AI copilots

02Test with real users

03Measure against revenue targets

04Feed results into the backlog

Discovery and build run in parallel, so decisions rest on real behaviour, not opinion.

Systems we build in the first month

Your product leaves the lab with the infrastructure, design language, and growth telemetry required to scale, not just a shiny prototype.

Foundation

AI core ready for production

Model orchestration across Claude, GPT-4o, and Bedrock with guardrails in place.

CLAUDE.md governance and automated security scanning at generation time, not deployment time, preventing vulnerabilities before code exists.

Latency budgets and cost envelopes set before engineering sprints begin.

Experience Layer

Interfaces tuned for monetization

Activation flows driven by battle-tested design system tokens.

Personalization surfaces mapped to the segments that drive ARR.

Cross-team service blueprints so success, sales, and product see the same story.

Growth & Ops

Telemetry that proves ROI

Revenue dashboards in Mixpanel/dbt ready before beta users arrive.

Anomaly alerts piped into Slack to prevent silent churn moments.

Feedback automations pushing customer evidence into Jira and Notion instantly.

What is inside your AI product

A full stack, not a model in isolation.

Every layer ships to you.

Frontend and UIActivation flows built on a battle-tested design system

Backend and APIFull-stack application logic and service endpoints

AI model integrationOpenAI and Anthropic models with guardrails in place

Auth and dataUser authentication, authorization, and database design

Analytics and telemetryRevenue dashboards and anomaly alerts wired in early

You own all of it: code, UI, integrations, and infrastructure. Enterprise builds add RAG, multi-agent orchestration, RBAC, and multi-tenant infrastructure.

Delivery sequence

Validation to launch, in weeks

Each phase lands tangible assets, approvals, and learnings your team can reuse.

Weeks 1-2

Signals sprint

Mine telemetry and goals into a revenue-ranked backlog.

Weeks 3-4

Validation lab

Prototypes meet real users; every test loops data back.

Weeks 5-9

Build and integrate

Engineering, data, and design ship the production slice.

Weeks 10-12

Revenue launch

Pilot cohorts activate with dashboards live on day one.

Embedded team

Pods that drop into your roadmap without friction

We work inside your tools, attend your standups, and leave you with documentation so your team can maintain everything after we roll off.

01Product strategy lead aligns exec expectations and keeps decisions moving.

02AI enablement engineer pairs with your developers to harden integrations and data.

03Growth analyst converts real usage signals into backlog priorities every single week.

Typical AI vendor

You rent the product and stay locked in

With Pixelmojo, you own

Application source code

UI and design system

Integrations and infrastructure

No vendor lock-in. We maintain only the intelligence platform.

What you walk away with

Documentation, assets, and growth plans that help internal teams keep scaling long after launch.

Product

Launch-ready product stack

MVP shipped with auth, data pipelines, analytics, and observability configured.
Operational runbooks so internal teams can iterate without losing velocity.

Evidence

Evidence library

User research recordings, transcripts, and summary briefs tied to roadmap decisions.
Experiment results visualised for board updates and investor conversations.

Roadmap

Scale roadmap

Prioritized backlog mapping next four quarters of feature releases.
Hiring, automation, and partner recommendations aligned to revenue targets.

Help center

Frequently Asked Questions

Everything you need to know about working with Pixelmojo.

How long does AI product development take?

It depends on scope. An MVP validation runs 3 to 4 weeks, a full production AI product runs 8 to 12 weeks, and an enterprise platform runs 12 to 16 weeks. Every tier covers validation, model selection, data pipelines, interface development, and deployment. You own the application code at delivery.

How much does AI product development cost?

MVP Validation is $4,995 to $7,995, a Full AI Product is $12,995 to $19,995, and an Enterprise AI Product is $29,995 to $49,995. The same engagement covers adding AI to an existing product and interface optimization. You own the application code.

Do I own the code Pixelmojo builds?

Yes. You own all application source code, UI, integrations, and deployment infrastructure. Pixelmojo maintains only the intelligence platform (LLM costs, model training). No vendor lock-in.

What is inside a full AI product build?

A full build ships complete product design (20 to 30 screens), AI model integration with OpenAI and Anthropic, full-stack development, user authentication, database design, an admin dashboard, analytics, deployment, documentation, and two months of post-launch support.

Can you add AI to an existing product instead of building from scratch?

Yes. The same service covers adding AI to existing products and optimizing interfaces for conversion. We integrate the AI layer into your current stack rather than rebuilding what already works.

What do I need before you start?

A validated idea. This service is best for teams who have already talked to customers and confirmed demand. If you are still testing whether anyone wants the product, start with validation first. We are also not a fit for budgets under $15K or staff-augmentation engagements.

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Proof, not promises

We ship our own products the same way

No name-drops here by design. The proof is what we have built and what you own.

3 products

We built Vector, Hive, and Radar ourselves, shipping software, not slideware.

See Radar ↗

You own it

All application code, UI, integrations, and infrastructure ship to you. No vendor lock-in.

Day one

Revenue telemetry is wired into every prototype, so leadership sees impact from launch.

Let's see if this is the right fit.

30-minute call. We will ask about your product, your users, and your timeline. If we are not the right fit, we will tell you on the call.

Book the roadmap sprint ↗

We build AI products. You ship to paying users in 90 days.

Full product development from validation to launch. Also covers adding AI to existing products and interface optimization.

From $4,995

Proof before code hits main

Discovery and building happen in parallel. Every prototype gets in front of real users, and we measure against the revenue targets your board already cares about.

01Thread-Based Engineering runs parallel AI workflows with governance checkpoints that catch 'almost right' AI output before it reaches your codebase.

02Weekly telemetry syncs translate live customer behaviour into sprint-ready stories.

03Revenue instrumentation ships inside prototypes so leadership sees ARR impact instantly.

Pods that drop into your roadmap without friction

We work inside your tools, attend your standups, and leave you with documentation so your team can maintain everything after we roll off.

01Product strategy lead aligns exec expectations and keeps decisions moving.

02AI enablement engineer pairs with your developers to harden integrations and data.

03Growth analyst converts real usage signals into backlog priorities every single week.