Enterprise Data Systems. AI That Works for Your Business.

Ex-Meta, Google, and Amazon engineers who build large-scale data infrastructure for growing companies — and deploy AI voice agents that help local businesses answer every call, book every customer, and never miss a lead.

Data visualization dashboard

Two Problems We Solve

Growing companies hit a wall where data outpaces engineering resources. Local businesses lose customers every time the phone goes unanswered. We solve both.

Fragmented Data Systems

Disconnected data sources creating silos that prevent a unified view of your business and slow down every team.

Missed Calls, Lost Revenue

Every unanswered call is a customer who books with your competitor. Your team can't be on the phone and do their job at the same time.

AI Without a Plan

Everyone says “use AI” but few know how to implement it at scale or make it work for a real business with real customers.

End-to-End Data & AI Solutions

We build the complex data systems that power growing companies — and the AI voice agents that help local businesses capture every customer. Strategic guidance and hands-on implementation, from architecture to production.

AI Voice Agents
24/7 call answering, booking, and follow-up for local businesses
  • Every call answered instantly — nights, weekends, holidays
  • Instant appointment and class booking
  • SMS confirmations, reminders, and follow-ups
  • Call logs and performance reporting
  • Natural conversation that sounds like your team
AI System Integration
Prepare your data infrastructure for AI implementation
  • AI-ready data architecture design
  • LLM implementation and optimization
  • Intelligent automation systems
  • Data governance for AI compliance
  • Strategic AI roadmap development

Technologies & Frameworks:

ChatGPTGeminiClaudeVertex AILlamaIndexVector DBsWeights & Biases
Data Architecture & Engineering
Build robust foundations for data-driven operations
  • Modern data stack implementation
  • Data pipeline development
  • Cloud data warehouse optimization
  • Data integration solutions

Technologies & Platforms:

SnowflakeDatabricksBigQueryTrinoSparkdbtAirflowPrefectTemporalDuckDBPostgresOracleSQL Server
Query Optimization & Performance
Maximize performance while minimizing costs
  • Database performance tuning
  • Query cost reduction strategies
  • Scalability optimization
  • Real-time analytics solutions
  • Advanced monitoring and alerting

Technologies & Tools:

DatadogNew RelicGrafanaPrometheusQuery ProfilersCost ExplorerKafkaFlink

Our Proven Approach

We combine strategic thinking with technical expertise honed at companies like Meta, Google, and Amazon to deliver solutions that drive measurable business impact.

1

Discover

We begin with a thorough assessment of your current data landscape, business objectives, and challenges.

2

Design

We create a tailored data strategy and architecture that aligns with your specific business goals.

3

Deliver

Our expert team implements the solution, ensuring seamless integration with your existing systems.

4

Drive Value

We provide ongoing support and optimization to ensure continuous improvement and ROI.

Our approach visualization

Transformative Results

Our clients achieve significant improvements in operational efficiency, decision-making speed, and revenue growth.

40%

Average reduction in data processing time, enabling faster decision-making

3x

Increase in data-driven insights leading to new revenue opportunities

60%

Improvement in data quality, resulting in more reliable business intelligence

"Flux Data Consulting transformed our approach to data. We now have a unified view of our operations that has directly contributed to a 27% increase in operational efficiency."

— CTO, Technology Company

"Having ex-FAANG engineers on our side made all the difference. They brought insights and best practices that only come from working with data at massive scale."

— VP of Engineering, SaaS Platform

Ready to Unlock Your Data's Potential?

Contact us now for a free 30-minute consultation. We'll analyze your current data challenges and provide actionable recommendations.