Upstream is an AI-native feature flagging tool that ships changes, not incidents. It provides intelligent rollout decisions, anomaly detection, and auto-rollback to ensure safe software delivery.
Upstream is an AI-native feature flagging and rollout intelligence platform designed to prevent incidents during software deployments. It offers dynamic configuration with a core REST API, multi-environment support, audience targeting, and percentage rollouts with edge latency under 10ms. The AI Rollout Pilot watches metrics and automatically ramps up or pauses rollouts based on defined SLOs like error rate and latency. Anomaly Guard provides real-time anomaly detection on business and technical signals, executing auto-rollbacks in 0.2 seconds median or pausing for human review. Codebase Intelligence introspects code, maps flag usage, detects dead flags, and auto-generates documentation. Config Copilot allows natural language queries for flag management and 1-click actions. It integrates with popular tools like Slack, GitHub, and PagerDuty, and offers migration importers for LaunchDarkly and Split.io.
Best used for
Ideal for developers, product managers, and startup founders who need to deploy new features safely, automate rollout decisions based on real-time metrics, and prevent incidents with intelligent auto-rollback. Especially valuable for teams seeking to reduce manual oversight and ensure high availability during software delivery.
Common actions
manage feature flags
automate software rollouts
detect deployment anomalies
prevent incidents
monitor application health
productivity toolcontent analysisinformation retrievalcontent understandingResearch assistantknowledge extractionAI QAgenerative AI
Capabilities
Key features
AI-native feature flags
Intelligent rollout decisions
Anomaly detection
Auto-rollback
Dynamic config API
Codebase intelligence
Config Copilot
Target Audience
developerproduct managerstartup founder
Integrations
slackgithublinearpagerdutydatadogprometheussegmentlaunchdarkly+ 1 more
Pricing & Plans
Freemium · Paid · Enterprise
Not Disclosed
FAQs
How does Upstream's AI Rollout Pilot decide when to ramp up a feature?
The AI Rollout Pilot uses your defined SLO targets, such as error rate, p95 latency, and conversion. It evaluates metrics over a rolling window and only advances the rollout percentage when all targets are met. If any signal degrades, it pauses the rollout and sends an alert.
How quickly does Upstream perform an auto-rollback?
Upstream's Anomaly Guard executes an auto-rollback with a median time of 0.2 seconds. It runs at 1-second intervals, and the rollback API call is fully synchronous at the edge, safeguarding thousands of users before a human can even read an alert.
Can I migrate my existing feature flags from other platforms to Upstream?
Yes, Upstream supports migration from existing feature flag setups. It provides JSON importers for LaunchDarkly, Split.io, and Statsig, allowing you to transfer targeting rules and environments. You can also run both systems in parallel during the transition phase.
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