Our Methodology

The R.E.A.C.T.O.R. Methodology

Our proven 7-step process for shipping AI-powered products.

Refined over 20+ client engagements across audio, vision, appliances, robotics, and wearables.

REACTOR methodology process flow showing seven stages: Recognize, Envision, Architect, Construct, Transmute, Operate, and Result

Every engagement follows our proven 7-step framework that takes you from strategy to measurable results.

The Complete Process

Seven interconnected stages that transform AI vision into production reality

R
Step 1

Recognize

2-4 weeks

Audit & Opportunity Analysis

We analyze your current product portfolio, user data, and market position to identify the highest-value AI opportunities.

Key Deliverables

AI Opportunity Map
Competitive analysis
Technical feasibility assessment
User research insights
E
Step 2

Envision

3-6 weeks

AI-First Product Strategy

We facilitate workshops to define what's possible. How can AI create a 10x better user experience? What features will drive business value?

Key Deliverables

Strategic roadmap with milestones
AI-driven UX mockups
Business case and ROI model
Success metrics definition
A
Step 3

Architect

4-8 weeks

Technical Design

We design the technical solution: model architecture, data pipelines, edge deployment strategy, and integration with existing systems.

Key Deliverables

Technical architecture document
Model selection and design
Data pipeline specification
Hardware compatibility analysis
C
Step 4

Construct

8-20 weeks

Development & Integration

We build and integrate the AI solution: train models, optimize for edge deployment, and embed with your product's firmware and software.

Key Deliverables

Trained and optimized models
Integration with existing codebase
Performance benchmarks
Developer documentation
T
Step 5

Transmute

6-12 weeks

Production Scaling

We scale to production: field testing, edge case discovery, model retraining, and final optimization to ensure reliable performance at scale.

Key Deliverables

Production-ready deployment
Field testing results
Edge case handling
Final performance validation
O
Step 6

Operate

Ongoing

Ongoing Management

Post-launch, we provide ongoing monitoring, retraining, and optimization to ensure your AI stays sharp and continues to improve.

Key Deliverables

Monthly performance dashboards
Quarterly model retraining
A/B testing and optimization
Dedicated support channel
R
Step 7

Result

Ongoing

Measured Impact

We measure and report on business outcomes: revenue impact, user satisfaction, market share, and other key metrics that matter to your business.

Key Deliverables

Business impact report
User satisfaction metrics
Performance analytics
Continuous improvement plan

Why This Methodology Delivers Results

The R.E.A.C.T.O.R. framework isn't just a process—it's a proven system for turning AI vision into production reality.

Predictable

You know what to expect at each stage. No surprises, no scope creep, no moving targets.

Proven

Refined over 20+ engagements across audio, vision, appliances, robotics, and wearables.

Business-Focused

Every phase ties to measurable business outcomes—revenue, retention, market share, user satisfaction.

Collaborative

We embed with your team. No throwing docs over walls. Pair programming, code reviews, knowledge transfer.

See R.E.A.C.T.O.R. in Action

Read how we helped a smart appliance company go from 65% accuracy to 99% using the REACTOR methodology.

Appliance AI: Predicting Failures Before They Happen

How we built an edge AI system that predicts appliance failures with 99% accuracy, reducing warranty claims by 30%.

Industry

Smart Appliances

Result

99% Accuracy

Impact

30% Fewer Claims

Read Full Case Study

Start Your R.E.A.C.T.O.R. Engagement

Let's discuss how our proven methodology can help you ship AI that actually works.

Schedule Discovery Call