About Build Gravity
We remove friction so your team can focus on high-value work
Our Mission
70% of software projects fail to deliver what was promised.[1]
We built BuildGravity to solve this problem differently. We work with domain experts from the start. Our founders have delivered $750M in construction projects, navigated 17 years of licensing regulations, and built healthcare systems. Projects with clear requirements are 97% more likely to succeed.[2]
Our Vision
Organizations shouldn't have to choose between generic software that doesn't fit and custom solutions they can't afford. With AI, we can finally build software tailored to specific operations at costs that make sense. Software that fits how businesses actually work, not the other way around.
Our Approach
- Client-Centric: We begin with deep listening to understand your operations and identify root causes of inefficiencies.
- Simplicity-Focused: We deliver clean, user-friendly solutions without unnecessary complexity.
- ROI-Driven: We target high-impact opportunities that deliver measurable value.
- Non-Disruptive: We work behind the scenes without burdening your existing teams or workflows.
References
[1] Multiple sources on software project failure rates. 70% of Projects Fail to Deliver What Was Promised
[2] Engprax study of 600 software engineers, May 2024. Clear Requirements Increase Project Success by 97%
Our Team
Meet the founders behind Build Gravity
Jason Deichert
Founder & CTO
James Banks
Founder & COO
Christa Montpetit
Founder & CEO
Our Experience Includes
Open Source Contributions
Educational tools and research systems we've contributed to the community
Interactive Psychology Experiment Builder
We created this step-by-step tutorial to help University of Waterloo psychology students build experiments without coding expertise. The interactive guide walks users through creating their own psychological experiments, making complex technical processes accessible to researchers who want to focus on their science, not programming syntax.
Clinical Data Analysis Tool
Developed for cystic fibrosis research at SickKids Hospital, this Python tool automates complex fluorescence data analysis that previously required hours of manual processing. The system handles sophisticated scientific data processing while maintaining the reliability and precision that healthcare research demands.