The Future of Observability is Streaming

Start resolving incidents in-flight. Stop storing noise.

Request a Demo See How It Works
10×
Faster Triage
5:1
Alert Consolidation
80%
Data Reduction
Chiron Root Cause Analysis
The Problem

Today's Observability Tools Were Never Built for This Reality

Modern mission-critical applications demand instant resolution. Legacy platforms were designed for a different era — and the gap is costing you.

01
High MTTR is Catastrophic
Live streaming, financial transactions, cloud security, and data infrastructure cannot tolerate slow mean-time-to-resolution. Every minute of delay compounds damage and erodes customer trust.
02
Prohibitive Total Cost of Ownership
Legacy platforms store all raw metrics, events, traces, and logs — driving massive storage costs. Worse, critical time is lost querying that storage precisely when SLA breaches demand immediate action.
03
The SLA Breach Death-Spiral
Metrics, logs, traces, and events live in incompatible silos. During an incident, humans and AI SREs must manually correlate data across all sources — overloading systems and responders when speed matters most.
How It Works

Intelligence in Real Time

Start resolving incidents in-flight. Stop storing noise.

01
Pre-Compilation
We pre-compile causal intelligence as systems evolve. Causal relationships are generated before incidents occur, creating a live dependency graph that is updated dynamically — not queried reactively.
02
Streaming M-E-L-T Correlation
We sniff industry streams in real time — metrics, events, logs, and traces — intercepted at the source before they hit storage. Smartly sampled and aggregated for real-time correlation. No need to store all raw data.
03
Breakthrough Intelligence
Instant detection with predictive insights. Early warnings and actionable RCA delivered to prevent disruption, not just diagnose it. One alert. One root cause. Zero guesswork.
 
Chiron Data Flow
Metrics
+
Events
+
Logs
+
Traces
↓ Intercepted in-flight before storage
Compiled Intelligence
+
Stateful Streaming
↓ In-memory, zero-shuffle correlation
Output
1 Alert · 1 RCA · Deterministic Causality
Before
20–30 min triage
With Chiron
< 2 min triage
Proven Results

Validated in Production

Measured at a Fortune 100 Streaming Giant, a Security Unicorn, and a Global Genomics Enterprise. These are not benchmarks — they are real production deployments.

10×
Faster Triage
Resolution time drops from 20–30 minutes to under 2 minutes. Your team acts on a single enriched alert instead of hunting through siloed dashboards.
2 min vs 20–30 min MTTR
5:1
Alert Consolidation
Dramatic reduction in alert noise through intelligent M-E-L-T correlation. Dozens of disconnected alerts collapse into one actionable signal.
Validated across multiple Fortune 100 deployments
80%
Data Reduction
Massive storage volume savings without losing diagnostic context. Smart sampling and in-flight aggregation means you store what matters, not everything.
70–80% cost reduction in raw data storage
The Technology

Four Capabilities That Make Chiron Categorically Different

Proprietary technology that no generic streaming engine or legacy observability tool can replicate.
⬡
Observability-First Streaming Platform
Built specifically for the unique demands of telemetry data — metrics, logs, traces — not a generic streaming solution retrofitted for observability. Purpose-built operators handle variable signal latency natively.
⬡
Heterogeneous & Cascaded Correlation
Our proprietary technology performs state-level, cascaded correlation — linking raw telemetry states across different layers: infrastructure, services, and business SLAs simultaneously.
⬡
Time-Window-Agnostic Correlation
Our approach traces issues across any timeframe, breaking the limitations of fixed-window streaming solutions that miss critical cross-signal connections in distributed environments.
⬡
Maintains Tiny & Optimal Context
We maintain only a smart, tiny in-memory state perfectly suited for AI/ML analysis — enabling complex, real-time insights without massive storage costs. Zero-shuffle correlation happens in local memory.
The Impact

Before & After Chiron

The difference is not incremental — it's transformational.

Without Chiron
Dozens of disconnected alerts across multiple tools require manual correlation
Engineers manually query siloed data under time pressure during the exact moment speed matters most
20–30 minutes to triage a single incident, with no certainty of root cause
Post-storage AI queries give probabilistic guesses — never deterministic answers
Skyrocketing storage costs as raw M-E-L-T data piles up
With Chiron
One alert. One RCA. Zero guesswork — ready for your on-call team or AI SRE to act on instantly
Chiron consolidates signal noise and delivers a single, actionable alert with deterministic root cause
Under 2 minutes to triage. Continuous, real-time intelligence — not a query you run after the fact
Compiled intelligence produces deterministic causality — no AI hallucinations in your RCA workflow
80% data reduction while preserving full diagnostic context where it matters
Competitive Landscape

Why Generic Engines Can't Do This

Existing solutions fall into three categories — all with fundamental architectural limitations Chiron was built to overcome.

Legacy Observability
Silo Powerhouses
Datadog, Splunk, New Relic, Elastic, AppDynamics
Great per-signal analytics, but correlation is post-storage search. Expensive to operate and architecturally reactive by design.
Unified Attempts
M-E-L-T Platforms
Grafana stack, Apache Pinot, ClickHouse, AI SRE copilots
Built for faster queries on stored data — not continuous, multi-dimensional real-time correlation. Data quality issues persist at scale.
AI-First Tools
Reactive AI
AI SRE agents, AIOps copilots, LLM dashboards
Advanced logic on old, store-and-query data. Expensive to run 24×7 and fundamentally reactive — they diagnose, not prevent.
Getting Started

Live in One Week

Non-invasive deployment alongside your current stack. No instrumentation changes. No rip and replace.

1
Identify key SLAs — define what matters most to your business and users.
2
Review telemetry sources and incident workflows — no changes needed, just visibility.
3
Discover causal relationships of your applications and infrastructure automatically.
4
Start monitoring — Chiron begins streaming correlation immediately.
5
Deliver Chiron alerts (with full RCA) to your existing pager systems or data lakes.
No instrumentation changes required

Non-invasive alongside your current stack

No rip and replace needed
Deployment Timeline
Week 1
Key SLA(s) actively monitored
Month 1
Comprehensive coverage across your stack
The Team

Built by Distributed Systems Veterans

Deep expertise in streaming infrastructure, observability, and scaling mission-critical systems at the world's largest companies.

Rohit Shekhar
Founder & CEO
Ex-Principal at Confluent. Led 4 successful startups. Distributed systems visionary with a deep track record in streaming infrastructure.
Punit
Co-Founder
Ex-Google. Scaled technical products through Product and Solutions leadership. Deep expertise in bringing complex infrastructure to enterprise customers.
Advisors
Mark Shelton — Ex VP Couchbase
Gordon Chaffee — Ex Sr Dir Google
Prasenjit Sarkar — Distinguished Engineer, Rubrik
11
Patents filed by the founding team in streaming state stores and causal rule compilation. Engineering team alumni from Nutanix, Veritas, IBM, Google, and Yugabyte.
Ready to Get Started

Join the Leaders Already
Transforming Incident Resolution

Engineering leaders at Fortune 100 enterprises are already detecting, correlating, and resolving incidents at streaming speed — with deterministic precision.

Drop us a message Visit Our Website
Email
info@chironvision.com
Website
www.chironvision.ai