Gallimore Software
Gallimore Enterprises builds and operates focused businesses with practical software, AI systems, and technical platforms for high-consequence workflows. The company offers a four-week, one-on-one AI build coaching track that guides individuals through shipping a live application while applying lessons from industrial decision optimization to its approach.
- Artificial Intelligence
- AI Agents
- Software Only
Funding
Founders
Product
Problem
Individuals and organizations often struggle to translate AI capabilities into working software that addresses real operational needs-rounded by a gap between technical potential and practical, accountable delivery. Many attempts fail due to unclear scope, lack of hands-on guidance, or reliance on abstract courses rather than actual shipped applications.
Solution
Gallimore Enterprises develops software products, supports operating businesses, and applies practical AI to high-consequence workflows, starting with the operating decision and respecting real constraints. The company's flagship offering is a four-week Build Track: a one-on-one coaching program where participants bring an idea and weekly sessions work directly on their code, resulting in a deployed, live application by week four. Each session is recorded, async code review is provided between sessions, and the method taught can be reused independently afterward. The approach combines human-led strategy and architecture with automated frontend, backend, and testing pipelines, informed by founder experience in industrial decision optimization for glass manufacturing.
Target Audience
Primary customers are individuals who want to build software themselves rather than commission it, who have a specific app idea, can commit roughly five hours per week, and are comfortable with or willing to learn terminal usage.
Features
- Four-week, one-on-one AI build coaching with 4 x 90-minute weekly sessions and written async code reviews between them, capped at two submissions per week with 24-hour turnaround
- Outcome guarantee of one working application deployed and live on a real domain by week four, plus a written method for building future apps
- Week-one setup includes repo, environment, AI tooling, and a live URL on day one; weeks two and three focus on core functionality and real-world states; week four covers deployment and handoff
- Industrial AI background: founder experience developing float-glass optimizers and a deep reinforcement-learning glass-gob optimizer for bottling lines, collaborating with Microsoft Azure ML research
- Human-led strategy and architecture paired with automated frontend/backend development, audited security, and managed DevOps workflows
- Scope terms explicitly state no income is promised; the product sold is capability, not financial outcomes