Moonshot Factory solves your problems working directly with you and your teams — using a proprietary AI-native process, our own tools, and a team of engineers and AI agents. The process is flexible, tailored to your team, your workflows and your needs.
Forward-deployed engineers work inside a customer's problem instead of handing over a spec. We add AI agents to every engineer, so a small embedded team delivers what used to take a large one.
We work in your problem, your stack and with your users — not from a distance.
Each engineer directs AI agents for research, code, tests and operations — the throughput of a much larger team.
We stay through launch and operation. Working software, not slideware.
One team across the whole lifecycle — or just the stage where you're stuck.
Shape the opportunity, the user and what success looks like.
Research the market, data and feasibility before committing.
Product, architecture and AI system design built to last.
Full-stack implementation with evaluation and guardrails built in.
Automated and exploratory testing, including evaluation of AI behaviour.
Cloud infrastructure, CI/CD and reliable, cost-aware deployments.
Secure-by-design systems, data protection and compliance readiness.
Monitoring, cost control, support and continuous improvement.
Moonshot Factory helps organizations become AI-native: we train your workforce to use AI tools and agents, and redesign how work gets done around them.
Hands-on programs on AI tools and coding assistants, by role and skill level.
Identify, build and roll out agents that take real work off your teams.
Redesign workflows end to end so people and agents work together.
Policies, quality checks and measurement so adoption is safe and sticks.
Our process adapts to the rules, data and customers of your industry.
We're built for speed and ambiguity — the moments when a team needs to move faster than its size allows.
Go from idea to a working, launchable product without hiring a whole team first.
Turn a concept or domain expertise into an AI-powered product people use.
Accelerate the roadmap, scale what works, and make AI systems reliable and affordable.
Technical due diligence and hands-on acceleration for portfolio companies.
Extra senior capacity, embedded, when the roadmap outgrows the team.
AI enablement and process transformation across the organization.
Through Moonshot Factory Studio we build our own products — focused on developer and engineering processes and operations — and run them at scale. We incubate AI products end to end; some are in stealth, and we'll share more as they launch. It keeps our engineering honest: we operate what we build.

We're looking for software and AI engineers — professionals and students — who build with AI tools and think like product owners.
Openings are also posted on popular internship portals, LinkedIn and developer Discord communities.

Tell us what you're building, or what you'd like to build with us. We read every submission.
Our engineers embed with your team like forward-deployed engineers, and each one works with AI agents that handle research, coding, testing and operations tasks. You get senior judgment with much higher throughput.
AI agents and LLM products, AI-native SaaS, and general software engineering — at any stage from ideation and analysis through design, implementation and ongoing operation.
We combine a global pool of engineering talent with AI agents that take on research, coding, testing and operations work. That lets us scale a team up or down quickly, keep costs efficient, and focus senior attention where it matters — so you get a high return on every engagement.
A short call, then a scoped first milestone with a working result. We'd rather prove value in weeks than sell a long plan.
Yes — technical due diligence and hands-on acceleration for portfolio companies.
Software and AI engineers at any career stage, including students. You should have built something real and be comfortable working with AI coding tools.
Agentic forward-deployed engineering and AI enablement. Currently pre-launch.