Jeter AI
From Product Vision to Live MVP in 5 Months
Turning a Vision into Reality: How Jeter AI scaled with the right Development Partner
Project at a Glance
What We Were Working With
Dating Tech / AI
Industry
Dedicated Development Team
Service
AI Matchmaking, Compatibility-Based Matching, Singles Events Platform, Payment Processing
Technologies
4 Engineers (Full Dedicated Team)
Team Size
5 Months
Duration
Project Overview
What Jeter AI Does
Jeter.ai is a patent-pending AI matchmaking platform for singles seeking meaningful connections, not casual dates. The platform prioritizes compatibility first. Every user completes a detailed test before meeting anyone.
Matches are based on values, personality, and behavior rather than looks. The build was technically complex from day one. Multiple advanced features had to work seamlessly together, making coordination a high-risk challenge for the founder.
All matches are pre-selected for maximum alignment. The ultimate goal is to help people avoid wasting time, money, and energy on relationships unlikely to succeed while creating meaningful, lasting connections.
The Challenge
What Jeter AI was Up Against
The founder of Jeter.ai had vision and market knowledge, needing a trusted team to manage technical complexity confidently.
Complex Build from Day One
The platform required multiple advanced features to work seamlessly from day one. Coordinating the full scope while maintaining quality and meeting deadlines made this a high-risk project.
Speed Without Compromise
The client needed a team that could deliver quickly without compromising quality. Any delay could push back the launch, slow user testing, and risk losing early adopters or investor interest.
A partner, not just a vendor
The founder's previous experiences showed the risks of unclear portfolios, poor accountability, and weak communication. He needed a trusted partner who understood both the product and the process.
The Solution
How We Helped
A dedicated team of four engineers took over full end-to-end delivery across the five-month engagement.
Built a Working Demo Before Commitment
Before any contract was signed, 6sense HQ delivered a fully interactive MVP demo. This hands-on demo proved the team understood the product, shifting the conversation from evaluation to partnership.
Delivered a Client-Forward Contract
Every legal concern was addressed with clarity. The MSA, NDA, and Work Order outlined IP ownership, exit clauses, and code portability, all under US jurisdiction. There was no ambiguity about who owned what.
Gave the Project a Face
The client had direct access to the founders and the Fractional CTO overseeing the project. There were no anonymous offshore teams or support emails - just visible, accountable people responsible for delivery.
Keeping Delivery Continuous
What Happened When Things Changed
The five-month engagement covered a significant amount of ground. Here is how the team handled the moments that matter.
1
When scope questions came up
The team focused on reducing development time, not extending it. This proactive approach ensured the project stayed on track and was one of the key reasons the partnership succeeded.
2
When legal and IP questions arose
Every concern was addressed through detailed documentation: hundreds of pages of SRS, strict code commenting standards, layered testing, and a complete handover package. Any developer could pick up the codebase without starting over.
3
When the Client Wanted to Stay Engaged
Daily standups, clear communication, and regular check-ins kept the founder informed without handling day-to-day decisions. The client could focus on growing the business, knowing the product and the team were in good hands.
Results
What Jeter AI Achieved
5 Months
From first meeting to live product
100%
Sprint completion — on time, within budget
50%+
Reduction in delivery costs vs. traditional software vendors
1500+
Hours of product engineering delivered
Zero
Production downtime
From the Client
What Jeter AI Said
You guys are light years in front of your competitors.
Gabriel Sotomayor
Founder, Jeter AI
The reason we are here is the trust factor.
John Smith
CTO, Jeter AI