Monday
Sprint planning
The IMS team shows up with tickets already pointed and ready for decisions. No planning theatre — just decisions.
We help companies adopt AI at scale.
You need engineers who've already solved this at scale, not consultants building roadmaps. We embed into your stack, align with your team, and ship the thing.
/ About
We embed senior AI engineers into ambitious teams to deliver production-scale systems. We build the infrastructure your business relies on, and stay accountable through to launch and beyond.
Lovable/ Work
Featured Projects
Scroll to step through what we've shipped.
Internal tooling across a two-year partnership. One tool, built in days, replaced a $180k/year role.
Measure AI
Automated HVAC bid estimation. 80% faster BOQ generation, shipped in 3 weeks.
Our team
Want to join? →What we do best?
/ Process
A process we've refined over 7 years
Monday. Wednesday. Friday. That's the week.
Wednesday
Next sprint shaped
We work with your team to organise next week's tickets. Ideas get discussed, push back is normal — honest conversations about what the next sprint should be.
Friday
Ship day
A video and Slack changelog of everything shipped that week. Your live app runs from day one, so you're constantly giving feedback and pointers for next week's sprint.
/ Testimonials
What our clients are saying about us
The teams we've shipped with, in their own words.
"The team at Imaginary Space captured my vision from day one and played a pivotal role in bringing it to life. What truly set them apart was their infectious enthusiasm and genuine investment in the success of my product."
Nick HarveyLandible
"Imaginary Space has been a genuine multiplier for our business. Over two years, they've turned manual, disconnected processes into real tools our teams use every day, while keeping us ahead of where AI is actually going."
Greg BrownDude Wipes
"We came to Imaginary Space with a marketplace that only existed as an MVP. They helped us turn it into something real, and they moved at the speed a young company actually needs. Harry, Luciano and Franco felt like part of our team, not an agency on the other side of a brief."
Matteo Di LisciandroSponsero
/ Blog
Our thoughts
AI Strategy
AI Adoption ROI: The Metrics Most Firms Get Wrong
Only 18% of professional services firms track AI adoption ROI. Here's how the real return gets measured, and what unmanaged AI risk costs the other 82%.
Engineering
RAG Development Services: What Actually Gets Built
More than 1,200 court cases now involve AI-fabricated citations. Most of what gets sold as RAG development doesn't fix the problem behind that number. Here's what actually does.
AI Strategy
How to Choose a Custom AI Agent Development Company
Kirkland & Ellis is spending $500 million to build its own AI platform. Most firms can't do that, here's how to pick the company that builds it for you instead.
AI Strategy
AI Agents for Enterprise: What Actually Works Inside Document-Heavy Firms
Most "AI agents for enterprise" are rebranded chatbots. Here's what genuine agents do inside law firms, RIAs, and investment banks, and how to tell the difference.
/ FAQ
Common questions
Imaginary Space is an AI implementation team that has shipped over 50 production AI systems. We build RAG pipelines, AI agents, and custom AI operating systems for law firms, RIAs, investment banks, and other document-heavy professional services firms.
Agents that draft, review, and act — scoped to exactly what they are allowed to touch. We wire them into a real workflow in your stack, with permissions, an audit trail, and a human in the loop where it matters, so they run in production rather than as a demo chatbot.
We offer three core services: AI Agent Development (custom agents built around how your team actually works), AI Integration (RAG pipelines, agents, and model APIs wired into your existing systems), and AI Consulting (architecture audits and build-vs-buy guidance). Every engagement ships production code, not a prototype.
We work primarily with law firms, RIAs, investment banks, VC firms, and other enterprise teams running document-heavy workflows. We've also delivered production systems in healthcare, government technology, and fintech for teams with similar compliance and scale requirements.
Most AI agencies hand you a roadmap. We hand you production code. Our founders built mission-critical systems for the UK and Argentine armed forces, and the team has spent the last decade in this industry learning what actually holds up at enterprise scale and what doesn't. Security and compliance are built in from day one, not bolted on before launch.
Engagements start with a discovery call and a written delivery plan: milestones, owners, and what "done" means for your users. From there we embed in your tools (Slack, Linear, GitHub) with Monday planning and Friday sprint reviews. Two meetings a week, full visibility, zero surprises.
Yes. Our engagement model is designed for enterprise and VC-backed teams that need full visibility, compliance-ready code, and predictable delivery, without adding extra meetings to their calendar.
You do, 100%. Every engagement ships with clear ownership, full documentation, tests, and CI, so your team can run and extend the codebase without us. No proprietary frameworks, no lock-in.
We're SOC 2 and GDPR compliant. Every line of AI-generated code is reviewed by a senior engineer before it ships. No blind AI output in production. Your data stays encrypted, private, and yours.
Yes. Tell us your constraints during discovery: region, cloud provider, on-prem, whatever your compliance team requires, and we architect around them from day one.
You get a full handoff: documentation, tests, and CI included, so your engineers can maintain and extend what we built. If you want ongoing support, we can scope that separately. It's never required.
Yes. We embed in Slack, Linear, and GitHub next to your engineers — we don't replace them. The usual pattern is we take a scoped slice of the AI work, ship it in the open, and leave your team able to own it.
