Hand off the task. Get back a verified change.
Remy is an AI engineer that takes a task from request to a verified software change, inside the tools your team already uses. Every change comes back with evidence: test results, build results and a change summary.
Why teams hand Remy real work
Works like an engineer, not an autocomplete
Remy understands the task, plans, changes the code, runs the checks and submits the change. You review the result, not every keystroke.
Evidence with every change
Tests, builds and a change summary come back with the change. Results and limits are stated plainly, so review takes minutes.
The right model, picked for you
Dynamic selects the model for each task and escalates to a stronger one when execution stalls. Remy works with leading closed and open-weight models, and with ours.
What you can hand to Remy
Real prompts from how we use Remy at Corepass. Each runs end to end, with checks before anything comes back.
What Remy does
Remy
SlackHow a task runs
Understand
Reads the task, the code and the context around it.
Plan
Breaks the work into steps and picks the model for each.
Change the code
Edits, writes tests, runs commands and uses the browser when needed.
Verify
Runs tests, builds and checks. Retries on a failed check; escalates when stuck.
Submit
Delivers the change with its evidence, and states what it could not verify.
Built in
Model agnostic
Works with leading closed and open-weight models, and with Corepass Models such as Scout for code retrieval.
Computer and browser use
Operates apps and websites to test and finish real work, not just write it.
Skills and files
Shared team instructions, project notes and file handling, so Remy works the way your team does.
Dynamic
Picks the model per task and escalates to a higher tier when execution stalls. Per-step cost routing is in development.
Subagents
The main agent plans work, delegates parallel subtasks and collects the results.
Desktop, CLI and web
Runs where you work: the desktop app, the terminal and the browser, in your existing repos, CI and review flow.
How we measure
Deploy with confidence
Controls for who can do what, what a team can see, and how every finding was reached.
Identifiers, not content
Admins see counts, costs, models and repository names. Never a conversation, a prompt, or the code Remy reads or writes.
Roles for every team
Owner, admin and member roles in Remy; processors, underwriters and AEs in LendingOS.
Training only with consent
Only data from teams that opt in enters training. Everything else stays out of the pipeline.
Isolated by customer
Each customer’s code, documents, context and memory are kept apart from every other customer’s.
Works with the tools you already use
Bring in specs, designs, records, contact lists and conversations from the systems your team relies on.
HubSpot
LinkedIn
Atlassian
Confluence
GitHub
AWS
ChromeLeading closed and open-weight models, plus Corepass Models such as Scout for code retrieval. Dynamic picks the model for each task, so you never choose one.
Not unless your team opts in. Only data from consenting teams enters training, and every other customer’s data is kept out of the pipeline.
In the desktop app, in the terminal and on the web. It works inside your existing repositories, CI and review flow, so nothing has to change on day one.
Download Remy and sign in; your account is created the first time you do. To roll it out across your team, talk to sales.
More solutions
Hand Remy its first task.
Download Remy and bring one real task from your backlog. We will measure the result together.