A small team that knows what it's doing.
Deal-driven firms shouldn't need to hire an engineering team to benefit from AI. The opportunity is enormous — better sourcing, faster diligence, smarter monitoring — but the barrier to actually getting there is absurdly high. You need data engineers, prompt engineers, someone to maintain it, someone to improve it. Most firms try, get frustrated, and go back to doing things manually. We exist to close that gap. You bring the expertise in your market. We bring the AI that actually works.
We deliver two things: managed AI services that run autonomously across your deal pipeline, and a personal AI assistant for every person at your firm. We configure it, deploy it, and improve it every month. You don't need to learn a new tool or hire a new team. See how it works →
Four people who know what they're doing.
Joe Perkins
Co-Founder
Former investor who spent years watching firms try and fail to adopt AI. Built Amy to be the team he wished existed.
Gabriel Shin
Co-Founder
Engineer who’s built AI systems at scale. Designs the architecture that makes Amy reliable enough for institutional firms.
Amelia Wilkinson
Client Lead
Runs every client relationship. The person who makes sure Amy actually delivers what we promised.
Sheila
Operations
Keeps the operation running. If something needs doing, it’s already done.
David Muggleton
Lead Engineer
Leads the engineering team that builds and scales Amy’s core platform. Obsessed with reliability and making complex systems feel simple.
Tiago
Engineer
Full-stack engineer who ships fast and breaks nothing. Builds the integrations that connect Amy to the tools firms already use.
Lialia Sakhno
Engineer
AI and data engineer who turns messy real-world data into structured intelligence. The reason Amy’s outputs actually make sense.
James Frewin
Design Lead
Designs every interface and experience across Amy. Makes sure the product feels as sharp as the technology behind it.
We don't do handoffs. The same people who scope your engagement are the ones who manage it, month after month.
Learn
We start by spending time with your team. Not a questionnaire — actual conversations about how you work, what your pipeline looks like, where the bottlenecks are, and what “good” means for your firm. The people who run this scoping are the same people who’ll manage your account.
Build
We configure Amy for your firm — your data sources, your workflows, your terminology. We don’t hand you a platform and wish you luck. We build it, test it, and deploy it. You start seeing outputs within weeks, not months.
Improve
This is where most AI projects die. Not ours. We run monthly reviews with your team, adjust workflows based on what’s working, add new capabilities as they become relevant, and make sure the system gets better every single month. The relationship doesn’t end at deployment — that’s where it starts.