The Seattle startup that watches you work once - then writes the code to do the job forever. Record-to-code automation for the professionals who bill by the hour.
THE LOOK: Not the founders at a whiteboard, not a stock photo of hands on a keyboard - just the mark itself. A looping "C" that never quite closes, which is roughly what a workflow feels like before someone automates it.
There is a specific kind of work that resists software. Not the glamorous work - the intake form, the document that has to move from one system into another, the invoice that needs to match a time entry, the calendar that never syncs. Professionals at law firms and financial advisories spend an alarming share of their day doing this, and every attempt to fix it has historically asked them to become, temporarily, a little bit of an engineer. Learn the automation tool. Map the fields. Build the flow. Most people, reasonably, decline.
Caddi's premise is that this is backwards. Instead of teaching the expert to build automation, you let the expert do what they already do - the job - while the software watches. A person records their screen, narrates what they're doing the way they'd train a new hire, and Caddi's system extracts the intent behind each click. Then, and this is the part that matters, it generates actual code that talks to the underlying application APIs. Not a bot clicking pixels. Not an AI agent improvising at runtime. Deterministic code, the same way twice.
The distinction sounds academic until you remember who the customers are. A law firm cannot have an automation that is usually right. Neither can a wealth manager or a mortgage company. "Predictable" is not a nice-to-have in regulated professional services - it is the entire ballgame. Caddi built its whole thesis around that constraint, which is a more interesting bet than it first appears.
ROI and cost-reduction figures are company-reported customer results and should be read as approximate.
You screen-record yourself doing a real workflow - client onboarding, filing a document, entering time - and talk through it out loud, exactly like onboarding a new colleague.
The AI analyzes the recording to understand not just what you clicked but why, then generates code that calls the apps' APIs directly instead of mimicking mouse movement.
The automation deploys across your existing tools and repeats the job reliably. Operations Intelligence flags which other tasks are worth automating next.
Traditional automation tools follow a recipe blindly - we actually understand the principles behind the process.
Converts a screen recording into deterministic, API-driven automation code - the core idea the whole company is built on.
Captures a workflow with audio narration so the person who knows the job can teach it directly, no IT ticket required.
Extracts intent from the demonstration, then builds and deploys the automation across connected applications.
Surfaces which repetitive processes across a firm are the best - and most valuable - candidates to automate.
Caddi points at the admin work that quietly eats billable hours. A representative sample:
It connects to the tools firms already own - Microsoft 365, Salesforce, DocuSign, Clio, NetDocuments, HubSpot, Slack, Box, Notion and dozens more - so the point is less "new software" and more "make your existing software finally talk to itself."
A two-time founder who scaled companies to $100M+ in combined sales, then went back to Cornell for a master's in computer science focused on computer vision and deep learning.
A data science specialist who led engineering teams at multiple startups and served as director of engineering at AgentSync.
Co-founded Caddi in 2024, rounding out the team behind the record-to-code approach to professional services automation.
Caddi emerged from stealth in March 2025 with a seed round that closed the month prior. The backers span the Pacific Northwest AI ecosystem and beyond.
Bar lengths are illustrative of round roles, not disclosed check sizes.
Our 'automation by demonstration' approach means professionals can train Caddi just like they would a new hire.
Helps make our internal lives easier and the systems we already have talk to each other.
Alejandro Castellano, Aditya Sastry and William Daugherty-Miller start Caddi to attack repetitive back-office work in professional services.
Round led by Ubiquity Ventures with Founders' Co-op and AI2 Incubator. Initial focus set on legal and financial sectors, with named early customers.
CEO Alejandro Castellano appears on the Value Drivers podcast to discuss using AI to tackle admin work across professional services.
Plenty of companies promise AI that automates your work. Caddi's twist is philosophical, and it shows up in the engineering. Most AI automation is autonomous - an agent decides, at runtime, how to handle each situation. That's flexible and occasionally impressive, and it is exactly the wrong property for a firm where a wrong answer has legal consequences. Caddi instead generates fixed code from a demonstration, trading some flexibility for the thing regulated customers actually want: the same result, every time, that a person can inspect.
There's a second, quieter benefit. When you record how an experienced staffer does a job, that knowledge stops being locked in one person's head. If they leave, the workflow stays. For a 20-person firm, that's less a feature than a form of insurance - and it's the kind of thing that doesn't fit on a pricing page but tends to close deals.
Caddi doesn't publish a public video library, so these point to the company's live demo and a founder interview.
Profile compiled from public sources. Figures are approximate and reflect company statements as of mid-2025.
Caddi is a Seattle-based AI company that turns screen recordings into working automations. Its 'record-to-code' platform watches a professional demonstrate a repetitive back-office task - client intake, document filing, billing, data entry - and generates deterministic, API-driven code that runs the workflow across 80+ tools. Aimed at law firms, financial advisors, accountants and consultants, Caddi pitches itself as a way to do more work at the same headcount without asking teams to learn yet another complicated tool.
Last updated: