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Perch AI
Built for work where a wrong answer has consequences
A verifiable AI coworker for legal, finance, research, and coding. It reads your files, does the work, and shows you the source behind every claim.
I'm a law student at Emory, and this started with a problem I kept running into. AI tools would confidently invent case citations that did not exist. In my finance and operations internships I watched the same thing happen with numbers. That is fine for a rough draft and genuinely dangerous the moment the work has consequences, like an audit, a financial model, or a legal memo. Everyone I knew either avoided AI for real work or used it and then re checked everything by hand, which erased the time it was supposed to save.
So I built Perch: an AI coworker that shows the source behind every claim. It reads your actual files, does the work, whether that is forensic analysis, spreadsheets, research, or code, and cites where every number and statement came from, so you can verify it in one click instead of re doing it yourself.
A few things that make it different: • Verifiable by default. Every answer traces back to a source in your files, and numbers are computed, not guessed. • Works where you work. Web, a Mac Desktop app that runs on your approved local folders, and a CLI. • Built for consequential work. Legal, finance, and research, not just quick chat.
I built the whole thing myself, from the engine to the models, and wrote up the failure modes and design principles behind it at perchai.app/research if you want to go deep.
It is free to start, no credit card, and Pro is $10/mo during early access. I'll be here all day and I would genuinely love your honest feedback, especially if you work in law, finance, or research. What would it take for you to trust an AI with real work?
About Perch AI on Product Hunt
“Built for work where a wrong answer has consequences”
Perch AI was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #15 on the daily leaderboard. A verifiable AI coworker for legal, finance, research, and coding. It reads your files, does the work, and shows you the source behind every claim.
On the analytics side, Perch AI competes within Fintech and Artificial Intelligence — topics that collectively have 520.3k followers on Product Hunt. The dashboard above tracks how Perch AI performed against the three products that launched closest to it on the same day.
Who hunted Perch AI?
Perch AI was hunted by Perch AI. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Perch AI including community comment highlights and product details, visit the product overview.
Perch AI
Hey Product Hunt, I wanna introduce Perch.
I'm a law student at Emory, and this started with a problem I kept running into. AI tools would confidently invent case citations that did not exist. In my finance and operations internships I watched the same thing happen with numbers. That is fine for a rough draft and genuinely dangerous the moment the work has consequences, like an audit, a financial model, or a legal memo. Everyone I knew either avoided AI for real work or used it and then re checked everything by hand, which erased the time it was supposed to save.
So I built Perch: an AI coworker that shows the source behind every claim. It reads your actual files, does the work, whether that is forensic analysis, spreadsheets, research, or code, and cites where every number and statement came from, so you can verify it in one click instead of re doing it yourself.
A few things that make it different:
• Verifiable by default. Every answer traces back to a source in your files, and numbers are computed, not guessed.
• Works where you work. Web, a Mac Desktop app that runs on your approved local folders, and a CLI.
• Built for consequential work. Legal, finance, and research, not just quick chat.
I built the whole thing myself, from the engine to the models, and wrote up the failure modes and design principles behind it at perchai.app/research if you want to go deep.
It is free to start, no credit card, and Pro is $10/mo during early access. I'll be here all day and I would genuinely love your honest feedback, especially if you work in law, finance, or research. What would it take for you to trust an AI with real work?