A unique AI/ML engine for live data

Zynapto connects to your existing data streams, creates a live representation of how your product behaves, and pushes enriched signals back into the tools your team already trusts.

• Stream events from product analytics, billing, logs, and internal APIs into a single AI/ML layer.
• Train temporal and behavioral models that adapt as your customer and system patterns evolve.
• Route scored outcomes directly into feature flags, workflows, alerts, and dashboards.

Traditional monitoring tools flood teams with noisy alerts and static dashboards. Zynapto focuses on the handful of events that actually matter, so on‑call and product teams can move faster.

• Models are tuned for live decision‑making, not just offline reporting or slide decks.
• Signals carry context: who is affected, how severe the impact is, and what changed recently.
• Confidence scores and explanations are included, so humans stay in control of the final call.

These early numbers come from live deployments monitoring customer traffic and internal services, not synthetic benchmarks. As Zynapto scales, the product is designed to keep latency low even as data volume and model complexity grow.