Rollout Intelligence Platform

Ship changes, not incidents.

AI-native feature flags that watch your rollouts, adjust in real time, and auto-rollback before a human notices.

Start for free See how it works
99.98% uptime SLA
0.2s median rollback
<10ms edge evaluation
Upstream rollout dashboard — feature flags and live metrics

Live demo

Watch a safe rollout in 18 seconds.

POST /v1/rollouts Idle
5%
25%
50%
75%
100%
1.5% 1.0% 0.5% 0.0% error rate SLO 1.0%
4.2M rollouts managed
$0 incident cost this quarter
99.98% platform uptime
0.2s median rollback time
Upstream API terminal — curl command for feature flag evaluation

A quiet kind of infra

Your flags know what's happening. They should know what to do.

Classic feature flags answer one question: is this feature on? Upstream answers a second one: should it stay on? The moment metrics drift, it acts — before an alert fires.

  • ✓ SDK evaluates flags at the edge in <10ms
  • ✓ AI monitors error rate, latency, and conversion in real time
  • ✓ Rollback executes in 0.2s median — 2,000+ users safeguarded before you read the ping
  • ✓ Flag docs auto-generated from your codebase

Five capabilities

Everything a rollout needs.

Dynamic config. AI decisions. Automatic safety nets. No 3am pages.

Dynamic Config API — REST API for feature flags
01 — Dynamic Config API

Dynamic Config API

Core REST API for flags, multi-env support, audience targeting, and percentage rollouts. Edge latency <10ms.

AI Rollout Pilot — autonomous rollout management
02 — AI Rollout Pilot

AI Rollout Pilot

Define your SLOs. Upstream watches metrics and ramps up automatically — or pauses when something looks off.

Anomaly Guard — real-time anomaly detection and auto-rollback
03 — Anomaly Guard

Anomaly Guard

Real-time anomaly detection on business and technical signals. Auto-rollback or human-review pause, based on severity.

04 — Codebase Intelligence

Codebase Intelligence

SDK introspects your codebase, maps every flag usage, detects dead flags (unused >30d), and auto-generates docs.

05 — Config Copilot

Config Copilot

Ask in plain English: "which flags are active for Enterprise customers in EU?" Get answers and 1-click actions.

SRE engineer — Upstream flag rollout intelligence

Built for SREs who sleep

5% is a guess. Upstream decides the next step for you.

"We watch your rollouts so you don't have to. When something looks off at 2am, Upstream rolls back — not your oncall."

No runbook. No "someone set a threshold wrong" postmortem. Just a system that knows what healthy looks like and defends it automatically.

Setup

From zero to safe rollout in 3 steps.

No config overhead. No dashboards to babysit.

01

Connect your SDK

Drop our SDK in. Five lines of code, any language. Flags start evaluating at the edge immediately.

02

Define your SLOs

Tell Upstream what healthy looks like: error rate, p95 latency, conversion. The AI takes it from there.

03

Ship with confidence

Upstream ramps, monitors, and rolls back automatically. You get a Slack ping — not a 3am alert.

SLO monitoring curve — Upstream error rate tracking

Your SLOs are the source of truth.

Define once. Upstream enforces them across every flag, every rollout, every environment — automatically and continuously.

Transparent pricing.

Start free. Upgrade when your team does. No surprises.

Free
$0

For side projects and personal experiments.

  • 1 environment
  • 10 flags
  • 10,000 evaluations/mo
  • 7-day audit log
  • Community support
Get started
Most popular
Team
$49/mo

Up to 10 seats. Everything your team ships with.

  • Unlimited flags
  • 3 environments
  • 1M evaluations/mo
  • AI Rollout Pilot
  • Slack / Linear / GitHub integrations
  • 90-day audit log
  • Email support
Start free trial
Scale
$499/mo

Unlimited seats. Serious infra for serious teams.

  • Unlimited environments
  • Unlimited evaluations
  • SSO / SAML
  • 1-year audit log
  • SLA 99.99%
  • Dedicated infra option
  • Priority support
Contact sales
Enterprise
Custom

SOC2, HIPAA, on-prem, custom SLO agreements.

  • SOC2 Type II
  • HIPAA-ready
  • On-prem option
  • Custom SLO contracts
  • Dedicated CSM
  • Custom integrations
  • 24/7 support SLA
Talk to us

In the wild

Saved our 3am.

"We had a flag rollout spike error rates at 2:47am. Upstream caught it at 2:47:12am and rolled back. I found out the next morning in Slack. That's the product."

Priya Narayan
Staff SRE · Series B fintech, 140 engineers

"We migrated 80 flags from LaunchDarkly in one afternoon. The AI Rollout Pilot has replaced about 90% of our manual ramp-up work. The other 10% is us wanting to feel involved."

Marcus Chen
Eng Lead · PLG SaaS, ~$8M ARR

"The Codebase Intelligence found 14 dead flags we'd been shipping around for 8 months. The Config Copilot means our PM can now answer her own 'is X on for customer Y?' questions."

Lena Hoffmann
VP Engineering · Berlin B2B SaaS

Common questions

Technical clarity.

You define SLO targets (error rate, p95 latency, conversion). Upstream evaluates metrics over a rolling window and advances the rollout percentage only when all targets are met. If any signal degrades, it pauses and alerts.
Median rollback time is 0.2 seconds. Anomaly Guard runs at 1-second intervals, and the rollback API call is fully synchronous at the edge. 2,000+ users are typically safeguarded before a human reads the alert.
Yes. We have migration importers for LaunchDarkly, Split.io, and Statsig JSON exports. Flags come over with their targeting rules intact. You can run both in parallel during transition.
Our SDK evaluates flags locally with a cached snapshot. If the edge cannot be reached for >30 seconds, flags default to the last known stable state. We maintain 99.98% uptime with a committed SLA on Scale and above.
Yes. Every workspace is isolated at the data layer. Scale and Enterprise customers get dedicated infrastructure with their own edge nodes. SOC2 Type II audit available on request.

Ready?

Ship your next change safely.

Upstream handles the risk. You handle the roadmap.

Start for free — no credit card