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What We've Shipped

AI Products in Production

Real products, real outcomes. Vector and Hive are custom AI builds you own, shipped by Pixelmojo on your infrastructure. Radar is a live, self-serve AI visibility platform you can run today. Same standard either way: measurable results, no black boxes.

Vector

12-Dimension Lead Intelligence

The Problem

Organizations waste 30–70% of SDR time on leads that never convert. Manual qualification is slow, inconsistent, and impossible to scale.

The Solution

Vector goes beyond traditional lead scoring by analyzing 12 distinct dimensions simultaneously. Unlike binary "hot or cold" models, Vector provides granular intelligence across Intent signals, Budget indicators, Timeline urgency, Authority mapping, Need alignment, Fit scoring, Engagement depth, Emotional sentiment, Context awareness, Knowledge level, Integration readiness, and Orchestration complexity. Every routing decision is fully transparent—your team can see exactly why a lead was scored and routed the way it was. No black boxes.

20–40%
SDR Time Recovered
within 90 days
60 days
Build Timeline
fixed scope
$35K Build
Investment
plus $1.5K/mo, you own it

12-Dimension Scoring Preview

Sample Lead
Intent
0
Budget
0
Timeline
0
Authority
0
Need
0
Fit
0
Engagement
0
Emotion
0
Context
0
Knowledge
0
Integration
0
Orchestration
0

Every score is fully transparent — your team sees exactly why each lead was rated this way.

"We're not asking you to trust us. We're asking you to measure."

Growth-stage teams with 50–200 monthly inbound leads and standard CRM setups
PostgreSQLNext.jsyour infrastructure
Learn More About Vector

Hive

Multi-Agent AI Orchestration

The Problem

Your sales chatbot doesn't know what your support bot learned. AI tools operate in isolation, forcing customers to repeat themselves and teams to manually transfer context.

The Solution

Hive solves the fragmentation problem that plagues most AI deployments. Instead of siloed chatbots that each start from zero, Hive creates a shared intelligence layer where every AI agent in your organization contributes to and benefits from a unified memory. When your support agent resolves a customer issue, your sales agent knows about it. When your HR bot onboards an employee, your IT agent is already provisioning access. Pre-built agents for Insurance, Logistics, Warehouse, and HR accelerate deployment, while the platform supports fully custom agents for any business function.

Unified
Agent Coordination
shared memory
60 days
Build Timeline
discovery to deploy
100%
Ownership
source code + data

Agent Orchestration Overview

Live Dashboard
Hive
Shared Memory
Sales
47 msgs today
Support
123 msgs today
HR
31 msgs today
Insurance
Standby
Logistics
85 msgs today
Custom
Standby

All agents share a unified memory layer — no context is ever lost between handoffs.

"Built on infrastructure you control—not a SaaS platform."

High-growth startups and enterprises needing AI automation across customer-facing and operations functions
TypeScriptReactNext.jsPostgreSQL on your infrastructure
Learn More About Hive

Radar

AI Visibility Audit Platform

The Problem

Most sites were built for Google, not for how AI reads the web. ChatGPT, Claude, Gemini, and Perplexity misread your brand, cite the wrong facts, or skip you entirely, and there is no unified way to see why or what to fix.

The Solution

Radar audits both whether AI can technically find you and what AI actually says about you. Six free technical readiness tools run on every check: AI bot crawl check, robots.txt analyzer, llms.txt validator, schema markup audit, AEO page auditor, and an AI Readiness score. Seven LLM-powered tools unlock with any paid plan: citation tracking across ChatGPT, Claude, Gemini, and Perplexity, Reddit brand monitoring, hallucination detection with severity scoring, prompt share of voice, source influence mapping, answer engine per-page testing, and brand disambiguation. Every finding generates a context-rich AI prompt pre-filled with your audit data, ready to paste into Claude, ChatGPT, or Cursor, plus implementation threads you can follow and re-verify one tool at a time. The cross-tool insight is the part no single tool can give you: Radar catches conflicts like blocking AI bots while expecting citations.

60 sec
Full Audit Speed
first audit, free to start
13
Tools in Parallel
6 free, 7 paid
$5
Starts At
one-time unlock, no subscription

"Monitoring tells you what AI says. Radar fixes why."

Digital agencies whose clients ask "are we in ChatGPT?", B2B SaaS marketing teams losing organic traffic to AI search, and enterprise brand teams worried about uncontrolled AI descriptions
Next.jsPostgreSQLChatGPTClaudeGeminiPerplexity
Learn More About Radar

How long does it take to build an AI product?

Both Vector and Hive are delivered in 60-day fixed-scope builds. This includes discovery, architecture, development, testing, and deployment on your infrastructure. The fixed timeline works because we use proven frameworks and architectures refined across multiple client engagements — you're not paying for us to figure things out. Custom AI products are scoped individually, but most ship within 60-90 days.

What is lead intelligence?

Lead intelligence goes beyond traditional lead scoring by evaluating prospects across multiple dimensions simultaneously. Vector's 12-dimension system analyzes Intent, Budget, Timeline, Authority, Need, Fit, Engagement, Emotion, Context, Knowledge, Integration readiness, and Orchestration complexity. Unlike binary "hot or cold" models, lead intelligence provides granular, transparent scoring that helps SDR teams focus on the leads most likely to convert — recovering 20-40% of wasted time within 90 days.

Let's Connect

Ready to build an AI product?

60-day fixed scope, full code ownership, built on your infrastructure. Let's discuss what you need.

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Behind the Build

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This site practices what it preaches: AI amplifies, humans lead.

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Primary Tool

Every component, animation, and optimization on this site was built with Claude Code. Human direction, AI execution—demonstrating what's possible when AI amplifies rather than replaces human judgment.

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