What we do
Living software
A platform that addresses every barrier in the journey from idea to adoption.
Historically, software was created when a problem got big enough to justify the cost of shipping a product. And that cost wasn't just writing code — it was everything around it: stability, deployment, distribution, support, payments.
So the market naturally selected for products that could serve millions, and everything converged toward the same generic workflows.
The Shift
AI broke one of those constraints. It's now dramatically easier to go from an idea to working code.
But that didn't automatically produce a wave of new, usable products, because the bottleneck didn't disappear — it moved. Prototyping got cheap. Turning prototypes into software people can actually rely on is still where most ideas die.
That's the gap DeepSpace is built to close: extending the promise of AI beyond code generation by absorbing the fixed costs around it so software can be created, shipped, shared, and adopted without rebuilding the entire stack every time.
What DeepSpace Is
DeepSpace is a platform where software is something you can assemble and reshape, not just download and use. Everything is modular and remixable.
Mini-apps, or “pods,” can be shared, forked, and adapted to each user's needs. Access to these pods happens through a single DeepSpace account, eliminating the need to create separate accounts or adapt to inconsistent interfaces across dozens of standalone microservices.
Unlike most apps, pods can pass data to each other, so you can create whole systems out of parts without a fragile tangle of custom wiring. That makes it easy for ideas to start anywhere, improve through iteration, and spread when other people find them useful.
Once created, they're instantly usable across web and mobile, with built-in sharing and real-time collaboration.
DeepSpace automatically connects to LLMs and to external APIs that are usually painful to wire up — data sources, niche services, internal systems — so pods can pull real data, trigger real actions, and automate multi-step workflows.
A New Model
Instead of requiring a mass market on day one, software can start from a specific need: a workflow, a team's internal tool, a niche community — and then expand if others find it valuable.
DeepSpace makes that expansion seamless by providing a discovery engine for what others built, an incubation space for new ideas, and an organizational layer for the software you rely on.
The point isn't that everything becomes “personal.” It's that software can compound.
Pods start specific, then get better and more useful with every fork, integration, and reuse. By centralizing both the infrastructure and the work itself, DeepSpace allows ideas to evolve organically in the direction of what users actually need.