TeamStation AI: Revolutionizing Nearshore IT Staff Augmentation with Human-Centered AI TeamStation AI is a groundbreaking SaaS platform that leverages human-centered AI to transform the way companies build, manage, scale, and pay software teams across Latin America . By harnessing the power of artificial intelligence, TeamStation AI optimizes team building and resource utilization for over 30 U.S. technology companies 2 . The platform streamlines the process of identifying, aligning, interviewing, assessing, hiring, and onboarding software engineers more accurately and quickly 7 . As a nearshore IT staff augmentation solution, TeamStation AI offers significant cost savings and access to a larger talent pool 3 . The platform's AI technology can predict if a company has hired the right person for the job, saving valuable time and resources 3 . With a transparent platform, clients can see the salaries of hired resources and the profits vendors make, ensuring fair pricing and preventing overcharging 8 . TeamStation AI's AI-driven approach deeply analyzes job descriptions, company goals, objectives, technologies, and culture, allowing it to detect correlations and eliminate anomalies in the hiring process 4 . The platform's machine learning and AI capabilities craft industry-leading talent knowledge graphs to match 95% or greater to client business objectives 14 . By revolutionizing human capacity alignment using AI technology, TeamStation AI empowers teams and enhances performance, providing a cost-effective solution for companies building and scaling their software teams 9 . Experience the future of nearshore IT staff augmentation with TeamStation AI and upgrade your hiring process today.

1. Human-Centered AI
for Building Global
Technology Teams
https://www.teamstation.dev/
Our fundamental mission to disrupt
the IT Staff Augmentation industry
using proprietary Artificial
Intelligence.

2. What’s wrong with current market SaaS solutions
U.S. Companies only have access to Freelance and Employee of Record
Platforms at a high cost. Deel, Howdy, Fiverr, Toptal, Arc
e.g.
Skyrocketing costs: vendors are taking advantage of clients and their
billable talent. U.S. companies are starting to raise red flags on these
types of online services.
● Talent Alignment Accuracy
● Lack of transparency and accountability
● Potential for exploitation (recorded evidence)
● Increased costs
● Reduced control
● Increased risk
- There are no comprehensive Intelligent SaaS platforms
to give total control to U.S. companies to build teams outside
the U.S. with empathy and transparency but most importantly the velocity
and accuracy needed for today’s market. The Nearshore IT Staff
Augmentation industry has never been put into a platform nor has it been
productized as of yet, but we can set a new standard.
Our Business Mission
needs certainty,
continuity and
predictability!

3. An outdated IT Staff
Augmentation Industry
In my 20+ years in the industry, I’ve seen the inefficiencies and it is quite alarming.
As a Product Manager building technology platforms in North America, I was exposed to multiple outsourcing vendors, and the
experience opened my eyes to inefficiencies, resource misalignment, assigned resource attrition, vendor switching resources to
maximize profitability (Assigned a Sr level Engineer, and months later they get changed with a much junior one)
As a Business Development & Technical Employee for LATAM Nearshore Services, I notice questionable business
practices and a lack of transparency with U.S. clients. These vendors overcharge U.S. clients and underpay their staff,
especially their engineers. In order to cut costs they do payroll schemes that take away benefits from the hired resources. It forces
underpaid people to take on more freelance work. The security risks can be high, especially for larger U.S. companies.
The problem that most Nearshore vendors have but are not willing to admit
● Effective resource alignment (The right person, doing the right things at the right time)
● Greater accuracy and velocity (The process can take 2-3 months for some Senior level roles)
● Much-needed improvement in communication and collaboration between Company and Vendor (Emails and phone calls
- that is not efficient nor practical anymore).
● Vendor Language barriers, cultural differences, and time zone challenges hinder progress.
● Time zone differences result in prolonged response times and elongated project timelines.
Building a cohesive and high-performing team outside the United States becomes a significant challenge with
nearshore IT staff augmentation services much worse if it’s offshore.
Houston, we have
a problem!

4. How one of our clients is building teams with Teamstation AI
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Click to visit process page
Time to lead a new standard across the IT
Outsourcing industry with an AI driven platform
that is already helping 20 U.S. companies build
teams faster and accurately.

5. Feedback from the Market
TeamStation already has a track record of success, with over 20 U.S. companies using its
platform. TeamStation demonstrates market validation, suggesting that the platform is
meeting a real need and has the potential to scale further.

6. Full Vision - NextGen Global Automated Workforce Solution
● Automatic classification and problem detection for job
reqs
● Automatic matching with qualified candidates
● Automatic meeting scheduling for candidates that
customers want to speak with
● Human touch-free on-boarding. The system knows
what forms need to be filled out and filed. It
understands the tax and legal situation and knows
how to provision any necessary hardware.
● TeamStation acts as an AI-powered expert
external Human Capital Management function for
your company. What only billion dollar tech
giants were able to do is now accessible by
self-funded start ups.

7. Technology Strategy
Currently companies rely on recruiters and
other specialists in the staffing space.
TeamStation will provide all of these
capabilities directly to the customer using
AI for recruiting, Onboarding,
billing, and legal. This will allow small to
medium sized companies to deploy offices in
any region that makes sense.

8. How we protect our competitive moat
Preventing Competitors from Copying:
● We are Securing intellectual property rights through patent efforts (Starting with Utility Patents).
● AI ownership resolution is a our crucial first step for patent protection.
● The cost and difficulty of replicating our AI/ML models are barriers for competitors.
● Leverage strategic partnerships, which are difficult for competitors to duplicate.
Maintaining Competitive Advantage Over Time:
● Commitment to building a world-class data science operation focusing on Machine Learning.
● Anticipate the future needs of companies, providing flexible AI models for assessing human
competencies.
● Allow companies to utilize our models through an API, enabling them to build bespoke solutions.
● Continual refinement and application of our technology to stay at the forefront of AI and ML
advancements.
● Capitalize on the uniqueness of our data, our models' complexity, and our partnerships' strength.

9. Co-Founders
Lonnie McRorey, CEO Jesus Romero, CFO
Bi-National Payment,Corporate
Development & Entrepreneur
Chief AI Scientist
Vicente Silva / Equity Stakeholder
HCM Leader, Product management and
U.S. Nearshoring / Outsourcing Expert
18 years in Data Science, Statistics,
Modeling, ML / AI, Writer, Professor, with
global recognition.
● Board Advisor of Autonomy Institute
● Co-Founder and CTO of 5D Robotics (Exit)
● Over 20 U.S. Patents in Robotics, Positioning and AI
● He won the R&D 100 Award and the Stoel Reeves
Innovation Award.
David Bruemmer Scott Graves
Advisory Advisory
Sue Bergamo
● - Cyber Security Strategy, Assessment,
Implementation, Operations
● - Compliance, Risk Management,
Certifications (Assessment, Implementation)
● - Trusted Advisor and Security Consultant to
Stealth, Startups, PE, VC firms
Technology leader and Founding Partner at Scale Tech
Consulting. He has a keen interest in building high-performance
software development organizations and has spent his entire
career in this field. Scott has been a guest on the CTO Podcast,
where he shared insights and strategies for Chief Technical
Officers.

10. Monetization 2023 the Platform has helped us pass 5M
USD in ARR with fast growth increments
for 2024 and beyond
● MRR per long term billable resource
ranges from 5,000 to 8,000 USD
Real Opportunities:
1. AI-Model Licensing: Leverage the unique AI algorithms for talent matching
and prediction. Businesses can license the use of these models for their own
HR and recruitment purposes.
2. Data Enrichment Services: Offer services to enhance clients' existing talent
data using TeamStation's AI technology, improving their decision-making and
talent management capabilities.
3. API Access: Provide API access to TeamStation's AI and data enrichment
models, allowing businesses to integrate our advanced capabilities directly into
their systems for a fee.
4. Custom AI Solutions: Design and implement custom AI solutions for
businesses with unique or complex talent management needs, providing a
high-value, high-margin service offering.
5. Partnerships & Integrations: Form strategic alliances with other HR tech
companies, job boards, or recruitment agencies, providing them with access to
our AI capabilities in exchange for a fee or revenue share.
6. Data Analytics Services: Use the AI's predictive capabilities to offer
advanced data analytics services, helping businesses forecast talent needs,
understand market trends, and optimize their HR strategies.

11. Exit Strategy 1. Tech Giants: Companies like Google, Microsoft,
Amazon, or Facebook for their HR technology solutions
and diverse product offerings.
2. Professional Social Networking Platforms: LinkedIn to
enhance job matching and talent management
capabilities.
3. Enterprise Software Companies: Firms like Oracle,
SAP, or Salesforce integrate TeamStation's AI into their
existing HR and talent management platforms.
4. HR Tech Companies: Large HR techs companies like
Workday, ADP, or Indeed for enhancing their talent
acquisition and management solutions.
5. Staffing and Recruitment Agencies: Global staffing
firms like Adecco or Randstad modernize their talent
sourcing and placement processes.

12. Seeking 5M in seed funding
10-15% equity stake
Investment Opportunity
Proposed Allocation of $5M Investment:
● Product Development: $1.5M (30%) - Enhancing our AI and ML models
and expanding product features.
● Data Acquisition & Management: $500K (10%) - Improving data
acquisition processes, investing in data management infrastructure.
● Sales & Marketing: $1M (20%) - Expanding our marketing efforts and sales
team to drive revenue growth.
● Customer Success: $500K (10%) - Building a solid customer success team,
investing resources to ensure customer satisfaction.
● Research & Development: $1M (20%) - Funding continuous innovation to
stay ahead of the competition and meet evolving customer needs.
● Strategic Partnerships: $250K (5%) - Forming partnerships to expand our
reach and provide comprehensive solutions.
● Operational Costs: $250K (5%) - Covering necessary operational expenses
to support our growing business.

13. What do we plan to do with the capital we raise?
U.S. Team:
● Sales Representative: $75,000 - $95,000 per year
● Digital Marketing Specialist: $65,000 - $85,000 per year
● Customer Success Manager: $85,000 - $105,000 per year
● Business Development Manager: $85,000 - $115,000 per year
● CTO: $215,000 per year
Latin America Team (Mexico):
● 6x Software Engineers: $210,000 - $270,000 per year
● QA Testers: $30,000 - $40,000 per year
● UX/UI Designers: $30,000 - $40,000 per year
● Data Engineers: $35,000 - $45,000 per year
● Database Administrators: $35,000 - $45,000 per year
● Technical Support Representatives: $25,000 - $35,000 per year
● HR Manager: $35,000 - $45,000 per year
● Finance Manager: $35,000 - $45,000 per year
● Administrative Staff: $25,000 - $35,000 per year
● Chief Scientist: $85,000 per year
The combined estimated cost
for the U.S. and Mexican
teams is between $1,080,000
and $1,310,000 annually.

14. In an age where technology advances at an
unprecedented rate, we are here to ensure
that human capital keeps up.
Just as SpaceX revolutionized space
exploration, TeamStation is here to
redefine the future of Human
Capacity
Our mission: Harness the
power of AI to close the
widening gap between
technology growth and human
capacity alignment. We aim to
make the process of hiring not
just efficient, but also
predictive and precise.
Our AI technology doesn't just match
resumes with job descriptions. It learns
about company culture, goals, and
technologies, aligning human capital with
business objectives - just like aligning the
right parts for a spaceship
Any questions?
Lonnie McRorey CEO
lonnie@fwscience.com
Jesús Romero CFO
jesus@fwscience.com