Enterprise AI Development Studio.
Landable
AI agents automating government RFI responses. 10x faster proposal turnaround.
Flor.work
AI sprint planning agent. 40% less meeting time, 3x faster planning.
Public Pulse
Real-time news intelligence system. Deployed production-ready in 21 days.
Measure AI
Automated HVAC bid estimation. 80% faster BOQ generation, shipped in 3 weeks.
Betr Health
AI-powered meal scanning and coaching. Processing 50K+ daily food logs.
EduConnect
Adaptive learning platform with personalized AI tutoring. Built in 6 weeks.
Landable
AI agents automating government RFI responses. 10x faster proposal turnaround.
Flor.work
AI sprint planning agent. 40% less meeting time, 3x faster planning.
Public Pulse
Real-time news intelligence system. Deployed production-ready in 21 days.
Measure AI
Automated HVAC bid estimation. 80% faster BOQ generation, shipped in 3 weeks.
Betr Health
AI-powered meal scanning and coaching. Processing 50K+ daily food logs.
EduConnect
Adaptive learning platform with personalized AI tutoring. Built in 6 weeks.
Landable
AI agents automating government RFI responses. 10x faster proposal turnaround.
Flor.work
AI sprint planning agent. 40% less meeting time, 3x faster planning.
Public Pulse
Real-time news intelligence system. Deployed production-ready in 21 days.
Measure AI
Automated HVAC bid estimation. 80% faster BOQ generation, shipped in 3 weeks.
Betr Health
AI-powered meal scanning and coaching. Processing 50K+ daily food logs.
EduConnect
Adaptive learning platform with personalized AI tutoring. Built in 6 weeks.
Trusted by innovative companies
About Us
Why enterprises choose Imaginary Space
Senior engineers amplified by AI. Enterprise roadmaps delivered in 6-week sprints, not 12-month cycles.
2 MEETINGS A WEEK
Monday planning, Friday sprint review. Between meetings, we're embedded in your Slack and GitHub, shipping code, not slide decks. Full visibility, zero surprises.
AI-AMPLIFIED ENGINEERING
Our Human-in-the-Loop workflow pairs senior engineers with production-grade LLMs. The result: 12-month enterprise roadmaps compressed into 6-week delivery sprints.
DEFENSE-GRADE STANDARDS
Our founders built mission-critical systems for NATO, US, UK, and Argentine armed forces. Every enterprise project inherits the same security protocols and code review standards.
WEEKS NOT QUARTERS
Enterprise MVPs in 4 to 12 weeks. Full-stack AI products, from RAG pipelines to autonomous agents, production-ready and deployed, not prototyped.
Development Services
Select the AI development service that fits your project.
The people
Our Engineering Team
Harry Roper
Co-Founder & CEO
Thomas Olson
Co-Founder & COO
Franco Albarracin
Co-Founder & CTO
Marcelo Diaz
Co-Founder & Developer
Leonel Lombardo
Senior Developer
Verity Formentera
US Operations
Luciano Paz
Developer
Kabir Anifowose
Designer
Ulises Gil
Head of Communication
Federico Deniard
Developer
Santiago Zarate
Developer
Dylan Halder
Marketing
Francisco Diaz
Developer
Adrian Dias da Costa de Lima
Tech Lead
Latest Updates
Insights & News
View all articles
Why Most AI Products Fail After Launch, And What Production-Ready Actually Means
80% of AI projects fail after the demo. Here's what separates products that survive production from prototypes that don't — and the specific decisions that make the difference.
How We Built an AI Sprint Planning Tool That Replaced Standups
How Imaginary Space built Flor.work, an AI sprint planning agent that generates sprint plans in seconds, assigns tasks by skill and capacity, and keeps engineering teams in sync through Slack. 40% less meeting time. 3x faster planning. Here's what we built, what we cut, and what we'd do differently.
How to Build an AI Product That Pulls From Multiple Data Sources (Without Breaking in Production)
Most AI products that aggregate external data don't fail because of the model. They fail because of the architecture decisions nobody made in week one. Here's what getting it right actually looks like.
Open Source LLM vs. API: How to Make the Build-vs-Buy Decision for Your AI Product
Open source LLMs now match frontier APIs on most benchmarks. Here's the framework for deciding which approach is right for your AI product and when the math changes.
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