segment-pixel
For the best experience, try the new Microsoft Edge browser recommended by Microsoft (version 87 or above) or switch to another browser � Google Chrome / Firefox / Safari
OK
Introducing the 10x Pod™

Scale Output.
Not Headcount.

A human–agent hybrid pod delivering the output of a 12-person squad at the cost base of 2 senior architects plus AI tooling.

12×
Output vs. traditional squads
Cost base (not 12×)
80%
Less boilerplate effort
Still Scaling Headcount?
That's Yesterday's Model.

Pyramid Bloat

Junior-heavy teams balloon costs without proportional output gains.

Slow Velocity

Boilerplate code, testing, and documentation consume 60–70% of squad capacity.

Inconsistent Quality

Distributed squads produce uneven output across geographies and skill levels.

📈

Rising Costs

More people doesn't mean more output — diminishing returns are real.

The 10x Pod™ flips this model.

Replace headcount with cognitive output through a purpose-built human–agent hybrid squad. Two senior architects lead. Five AI agents execute. One pod delivers.

12× output. 2× cost. Zero pyramid.
What Makes a 10x Pod™
A precision-engineered pod combining senior human architects with domain-trained AI agents.
🧑

Senior Architects

Two senior Xoriant architects with solution authority and design control. They own architecture decisions, code reviews, and client alignment.

Human Core × 2
🤖

AI Agents

Five domain-trained AI agents handling boilerplate code generation, test automation, documentation, and repetitive engineering tasks.

AI Agents × 5
🛠

Dr. Migrate Toolkit

Modernization toolkit accelerating legacy-to-cloud migrations, code refactoring, and platform upgrades.

Proprietary IP
📊

Velocity Dashboard

Real-time analytics tracking pod velocity, defect rates, code quality, and AI agent contribution for full output transparency.

Real-time Analytics

Output Benchmarking

Continuous benchmarking against traditional 12-person squad performance — proving the 10x multiplier with hard data.

Performance Proof

Quality Assurance

Built-in quality gates where AI agents generate tests and senior architects validate — enterprise-grade quality at AI-native speed.

Built-in QA
The Numbers Behind the 10x Pod™
12×
Output delivered compared to traditional staffing models
Cost base — two architects plus AI tooling replaces a full squad
80%
Reduction in boilerplate code and documentation effort
From Headcount Pyramid
to Output Capacity Pod

Traditional Squad

🧑
🧑
🧑
🧑
🧑
🧑
🧑
🧑
🧑
🧑
🧑
🧑
12 people
12× cost base

10x Pod™

🧑
🧑
🤖
🤖
🤖
🤖
🤖
2 people + 5 agents
2× cost base · 12× output
Three Steps to 10× Output
1

Assess & Design

We analyze your project scope, tech stack, and delivery goals to configure the ideal pod.

  • Workload analysis & task classification
  • AI agent selection & domain training
  • Pod architecture & integration planning
2

Deploy & Calibrate

Launch your pod with senior architects leading and AI agents executing.

  • Sprint-zero pod onboarding
  • AI agent fine-tuning to your codebase
  • Velocity baseline & benchmark setup
3

Scale & Optimize

Continuously measure, benchmark, and optimize pod performance.

  • Real-time velocity & quality dashboards
  • AI agent performance tuning
  • Output benchmarking & ROI reporting
Common Questions
What is the 10x Pod™?+
The 10x Pod™ is a human–agent hybrid delivery model that combines 2 senior Xoriant architects with 5 domain-trained AI agents and proprietary tooling to deliver the output of a 12-person squad at a fraction of the cost.
How does it deliver 12× output?+
AI agents handle boilerplate code generation, test automation, and documentation — tasks that traditionally consume 60–70% of a squad's time — while senior architects focus on architecture, design, and quality assurance.
What types of projects suit the 10x Pod™?+
Application modernization, cloud migration, platform engineering, and any delivery workstream with significant boilerplate, testing, and documentation overhead.
How do you measure pod performance?+
Through our AI Velocity & Defect Analytics dashboard that continuously tracks output volume, code quality, defect rates, and benchmarks against traditional squad performance.
How do we get started?+
Begin with a Pod Readiness Assessment where we analyze your project scope, identify AI-automatable tasks, and design a pod configuration tailored to your delivery goals.

Ready to 10× Your
Engineering Output?

Stop scaling headcount. Start scaling cognitive output with the 10x Pod™.