Rema
Alpha onboarding — design partners

Chat to shipping
with approvals and real artifacts.

Rema is an Autonomous Work Engine for technical teams. It turns goals into plans, runs work in isolated workspaces, and returns things you can actually use: PRs, scripts, reports, dashboards.

Request early access Investor deck
  • Human-in-the-loop approvals for sensitive actions
  • Persistent workspaces for multi-day projects
  • Audit-friendly logs + artifacts for review
Rema / Mission Log
workspace-102 • isolated Ready
You Stripe payments are failing after yesterday’s deploy. Investigate and ship a fix.
Rema Plan proposed (requires approval):
  1. Pull Stripe event samples + errors
  2. Correlate with backend logs + deploy diff
  3. Patch and run tests in workspace
  4. Open PR with evidence and rollout notes
Artifact PR #142 — Fix Stripe webhook signature parsing 
+ const sig = req.headers["stripe-signature"];
 if (!sig) throw new Error("Missing signature");
 // verify + normalize line endings
 const event = stripe.webhooks.constructEvent(rawBody, sig, secret);
Tests: passing Evidence: attached Rollout: staged
Includes an approval gate.
Not a chatbot: an execution system that produces reviewable work.

Built for technical execution

Three primitives that make autonomy useful in real engineering environments.

Plans you can approve

Rema turns vague intent into a concrete plan with checkpoints, risks, and explicit permissions.

  • Proposed steps
  • Risk annotations
  • Approve/deny gates

Isolated workspaces

Work runs in controlled environments so it can operate on real code without “magic” or blind trust.

  • Repo + dependency setup
  • Repeatable runs
  • Credential boundaries

Artifacts you can ship

Outputs are PRs, scripts, reports, and dashboards—paired with evidence so humans can review fast.

  • Diff + tests
  • Logs + trace
  • Rollback notes

Use cases that steal senior time

Pick the work you want off your plate. Rema returns evidence, not vibes.

Fix failing CI end-to-end

Reproduce the failure, isolate the root cause, patch, and open a PR with passing tests and a short explanation.

Try:
“The build is red—make it green and show the root cause.”
  • PR + diff
  • Test output
  • Root-cause summary
  • Rollout notes

Triage incidents with evidence

Correlate logs, deploys, and alerts. Produce a structured incident report and a prioritized fix plan.

Try:
“Payments started failing after the last deploy. Investigate.”
  • Incident report
  • Suspect diff
  • Proposed patch
  • Comms draft

Ship migrations safely

Break large changes into incremental PRs with validation steps and rollback plans, so you can ship without downtime drama.

Try:
“Migrate auth to the new service and keep backward compatibility.”
  • Stepwise PR series
  • Backfill scripts
  • Validation checklist
  • Rollback plan

Turn messy data into answers

Write analysis scripts, generate tables/plots, and return a report you can share.

Try:
“Analyze Q4 revenue drivers and summarize in a report.”
  • Reproducible notebook/script
  • Charts + tables
  • Executive summary
  • Exported datasets

Automate the “small painful” work

Rotate secrets, update configs, cut releases, and create runbooks—without handing the keys to an opaque agent.

Try:
“Create a runbook for this service and propose alerts we’re missing.”
  • Config changes
  • Runbooks
  • PRs + evidence
  • Approval checkpoints

Artifact library (templates)

Less “trust me,” more “here’s what you’ll review.” These are example artifacts Rema produces for humans to sign off.

Incident report

A tight write-up: timeline, root cause hypothesis, fix plan, and comms draft.

Open template

Runbook

Step-by-step rollout + validation + rollback that an on-call can actually follow.

Open template

PR evidence pack

Diff summary, test output, and “why this is safe” notes for reviewers.

Open template

Autonomy you can control

Designed for security reviews, audit trails, and humans who need to stay in the loop.

Approval gates

Rema proposes actions and waits for explicit approval on sensitive or destructive steps.

Workspace isolation

Work runs in controlled environments with scoped access and predictable behavior.

Artifact trail

Every task produces diffs, logs, and outputs you can review, share, and archive.

Least-privilege integrations

Connect tools via a gateway so credentials stay scoped and exposure is minimized.

Simple architecture, real execution

Opinionated components that make tasks long-running, debuggable, and safe.

Chat UI
Intent + context
Planner
Plan + risk + approvals
Executor
Runs tools + code
Workspace
Isolated runtime
Artifacts
PRs, reports, logs

Investor snapshot

Clear buyer, clear wedge, and a path to defensibility.

Buyer

Engineering leaders accountable for reliability and velocity: managers, staff+ engineers, and platform teams.

Start where execution has obvious ROI: CI, on-call, migrations.

Wedge

High-frequency, high-context work with measurable outcomes and clear evidence trails.

Win a lane, then expand into broader engineering execution.

Moat

Execution history + workspace state + integrations create compounding context and switching costs.

Artifacts become the product: reviewable, auditable, reusable.

FAQ

Short answers investors and design partners usually ask.

Is this just another chatbot?
It’s an execution system: plans, approvals, isolated workspaces, and artifacts. The UI is chat because it’s the lowest-friction command surface.
How do you keep it safe?
Rema proposes actions, waits for explicit approvals, and runs work in controlled environments with a reviewable artifact trail.
What do I get back?
Artifacts: PRs, scripts, reports, dashboards, plus the evidence needed to trust them (tests, logs, diffs, rollout notes).
When can I try it?
We’re onboarding design partners for alpha access. Tell us your stack and the work you want automated and we’ll respond with next steps.

Get alpha access

If you run engineering work that can’t stay “just advice,” let’s talk. Send your use case and we’ll reply with fit + timeline.

Email us

Prefer investors? Send an intro or request the deck.

What to send
  • Your stack (language, repo size, CI)
  • Your top 1–2 recurring pain points
  • Security constraints (SOC2, prod access)
  • What “success” looks like (PRs/week, MTTR)