# Acute

*/Startups/Acute*

## Startup Overview

This system aggregates monitoring signals across technical environments, correlating related anomalies and routing actionable incidents directly to the correct on-call engineer. It suppresses redundant warnings during widespread infrastructure failures, ensuring responders receive a single, unified notification containing the active fault context.

Site reliability engineers and DevOps teams frequently operate in environments where a single service degradation triggers thousands of downstream application errors. Legacy incident response tools like PagerDuty, Opsgenie, and Splunk On-Call process each of these errors as a discrete event, creating severe alert fatigue and obscuring the root cause.

By functioning with native context-awareness, the platform automatically groups symptomatic alerts around their common infrastructural origin before paging human operators. It also replaces industry-standard per-seat billing with a model priced strictly per resolved incident, allowing engineering teams to deploy comprehensive monitoring without incurring arbitrary software costs.

## Startup Founding Hypothesis

**Approach**: that correlates and routes critical infrastructure alerts
**Competitors**:
- [PagerDuty](/Competitors/PagerDuty)
- [Opsgenie](/Competitors/Opsgenie)
- [Splunk On-Call](/Competitors/Splunk_On-Call)
**Differentiator2x2**: priced per resolved incident and natively context-aware

## Startup Solution Coordinate

**Solution**: [Contextual Alert Router](/Software/Contextual_Alert_Router)

## Startup Position2x2

```mermaid
quadrantChart
title Alert Routing and Incident Response
x-axis Seat-Based Pricing --> Per-Incident Pricing
y-axis Rule-Based Routing --> Natively Context-Aware
PagerDuty: [0.15, 0.40]
Opsgenie: [0.10, 0.30]
Splunk On-Call: [0.20, 0.35]
Acute: [0.85, 0.90]
```

## Startup Offer

**Proof**:
- Aiming to eliminate 75% of duplicate and noisy alerts before they reach on-call engineers.
- Targeting a 40% reduction in mean time to acknowledge (MTTA) for mid-market reliability teams.
- Designed to autonomously resolve high-frequency, low-complexity infrastructure alerts without human intervention.
**Tiers**:
- Name: Intelligent Routing · Price: ~$5–$12 per resolved incident · Inclusions: Alert deduplication, context enrichment, and payload-based routing to the appropriate on-call engineer.
- Name: Auto-Remediation · Price: ~$25–$50 per auto-resolved incident · Inclusions: Execution of standard operating procedures and automated recovery scripts prior to human escalation.
- Name: Enterprise Shield · Price: Custom annual floor (~$15k–$40k/yr) · Inclusions: Volume discounts, custom runbook execution limits, and intended integrations with legacy on-premise ITSM platforms.
**Guarantee**: If an alert is routed to the wrong escalation policy or fails to append the necessary telemetry context, the resulting incident is not billed.
**Business Function**: ProvideService
**Objection Handlers**:
- Objection: 'How do you define a resolved incident to calculate billing?' Rebuttal: An incident is only billed when the alert is either successfully auto-remediated by the system or acknowledged and closed by the correctly routed engineer.
- Objection: 'What happens if the routing engine cannot identify the correct service owner?' Rebuttal: The system falls back immediately to your predefined default escalation policy to ensure no alert is ever dropped.
- Objection: 'Does this replace our existing observability monitors?' Rebuttal: No, Acute is designed to ingest webhook payloads from your existing tools (like Datadog or Prometheus) to act exclusively as the correlation and routing layer.
**Pricing Architecture**: UsageMeter
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Authoritative and concise, prioritizing absolute clarity during high-stakes system outages.
**Tagline**: Correlate and resolve critical infrastructure alerts without the noise.
**Icon Concept**: pager
**Palette Intent**: electric-signal
**Visual Identity**: Terminal-inspired deep blacks and electric neon green highlight critical routing paths through dense system logs, paired with crisp monospaced typography for exact readability.
**Archetype Reference**: the-sage

## Startup Buyer Chain

**Chain**: Acute → Platform Engineering Manager → On-Call Developer
**Gtm Motion**: Acquires individual DevOps teams via a self-serve tier applied to high-noise, low-criticality alert streams, bypassing traditional procurement with its per-resolved-incident pricing. Expands to enterprise-wide adoption as platform leads consolidate tooling to avoid the per-seat licensing costs of legacy systems.
**Agent Channel**: Designed to list its routing API in agent registries like the LangChain tool directory or OpenAI schema network, allowing autonomous infrastructure agents to discover and invoke context-aware human escalation paths.
**Primary Channel**: Targeted search engine marketing capturing high-intent queries like 'PagerDuty per seat alternative' or 'Opsgenie alert correlation', alongside intended integration listings in the Datadog and AWS marketplaces.

## Startup Customer Journey

```mermaid
flowchart LR; A[Datadog Marketplace] --> B[Self-Serve Tier]; B --> C[Alert Payload]; C --> D[On-Call Developer]; D --> E[Auto-Remediation Script]; E --> F[Platform Engineering Manager]; F --> G[Legacy ITSM Platform]; G --> H[LangChain Tool Directory];
```

## Startup Proof Points

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**Pilot Goals**:
- 30-day shadow mode pilot ingesting webhook payloads alongside existing ITSM tools to prove a 75% noise reduction in duplicate alerts without dropping a single critical incident.
- 60-day auto-remediation trial on a non-critical staging environment aiming to successfully execute automated recovery scripts for five predefined, high-frequency alert types.
- 45-day intelligent routing rollout restricted to a single engineering squad to measure MTTA reduction against baseline metrics before authorizing expansion to the entire organization.
**Target Metrics**:
- Target: 75% reduction in total duplicate and noisy alert volume reaching on-call engineers.
- Aim: 40% reduction in Mean Time to Acknowledge (MTTA) for critical infrastructure incidents.
- Target: 30% of total weekly incidents successfully auto-remediated via standard operating procedure execution.
- Aim: 0 billable incidents resulting from incorrect escalation routing or missing telemetry context.
**Target Case Studies**:
- A mid-market SaaS Site Reliability Engineering (SRE) team demonstrating the consolidation of fragmented webhook payloads from existing observability monitors into a single deduplicated queue to reduce page fatigue.
- An enterprise infrastructure operations team showcasing the implementation of auto-remediation for high-frequency, low-complexity alerts to eliminate manual nighttime escalations.
- A fast-growing fintech DevOps team highlighting the use of payload-based intelligent routing to bypass default escalation policies and immediately page the exact service owner.
**Testimonial Targets**:
- VP of Site Reliability Engineering expressing relief that intelligent deduplication restored sleep schedules and prevented engineer burnout during high-severity outages.
- Lead DevOps Engineer confirming that the auto-remediation tier reliably executes standard recovery scripts for predictable infrastructure failures before triggering a human escalation.
- Director of IT Operations validating the fairness of the usage-metered pricing model, specifically appreciating that they only pay when an incident is accurately routed or autonomously resolved.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: A platform outage during a customer incident prevents critical alert routing, permanently breaking trust and causing immediate churn. · Mitigation Status: in-progress
- Severity: high · Description: The per-resolved-incident pricing model creates unpredictable revenue streams and incentivizes customers to manipulate incident resolution statuses to avoid billing. · Mitigation Status: unmitigated
- Severity: high · Description: Major monitoring platforms restrict API access or alter their webhook payloads, breaking the native context-aware correlation engine. · Mitigation Status: in-progress
- Severity: moderate · Description: Incumbents bundle automated alert correlation into existing enterprise contracts, preventing Acute from securing initial pilot deployments with enterprise engineering teams. · Mitigation Status: unmitigated

## Startup Competitors

- [PagerDuty](/Competitors/PagerDuty) — Legacy Incumbent
- [Opsgenie](/Competitors/Opsgenie) — Bundled Alternative
- [Splunk On-Call](/Competitors/Splunk_On-Call) — Enterprise Incumbent
- [BigPanda AIOps](/Competitors/BigPanda_AIOps) — Correlation Competitor
- [Manual Alert Triage](/Competitors/Manual_Alert_Triage) — Status Quo

## Startup Solution Stack

- [Incident Resolution Service](/Services/Incident_Resolution_Service) — Service-as-Software
- [Alert Triage Agent](/Agents/Alert_Triage_Agent) — Agent
- [Topology Context Worker](/Agents/Topology_Context_Worker) — Agent
- [Event Ingestion API](/Software/Event_Ingestion_API) — Software
- [Correlation Rules Engine](/Software/Correlation_Rules_Engine) — Software

## Startup Story Brand

**Hero**:
- **Need**: to be the strategic architect of system reliability, not a reactive firefighter
- **Want**: to stop waking up for duplicate alerts and low-priority system noise
- **Identity**: the on-call engineer at a mid-market technology company
**Plan**:
- Step: Submit · Detail: Direct your Datadog or Prometheus webhooks to our ingestion endpoint for immediate payload analysis.
- Step: Audit · Detail: Review the automated correlation logic to see how noise is filtered and context is enriched.
- Step: Approve · Detail: Activate the routing policy to send clean, context-aware incidents to the correct service owner.
**Guide**:
- **Empathy**: You shouldn't still be drowning in duplicate alerts. PagerDuty wasn't built to correlate infrastructure context automatically.
**Problem**:
- **Villain**: alert fatigue
- **External**: Sifting through PagerDuty notifications for Prometheus webhooks takes hours of manual correlation during a critical outage
- **Internal**: You feel burnt out by constant context switching and the dread of missing a real fire
- **Philosophical**: Engineering talent belongs in building resilient systems, not in sorting through webhook noise.
**Success**: Your on-call rotations are quiet, and critical infrastructure issues are resolved automatically or routed to the right person with full context.
**One Liner**: Alert fatigue costs engineering teams their focus and uptime. Acute correlates and routes critical infrastructure alerts so you only wake up for real incidents.
**Positioning**:
- **So That**: eliminate alert noise and pay only for resolved incidents
- **Unlike**: PagerDuty or Opsgenie
- **For Whom**: on-call engineers at mid-market companies
- **Category**: Incident correlation and routing platform
**Call To Action**:
- **Direct**: Route first incident
- **Transitional**: View sample payload enrichment
**Failure Stakes**:
- Slower mean time to acknowledge critical outages
- Top engineering talent burnout and turnover
- Revenue loss from prolonged system downtime
**Transformation**:
- **To**: the reliability team's strategic lead
- **From**: the exhausted engineer triaging manual Datadog logs
**Controlling Idea**: Infrastructure alerts should be intelligent, context-aware, and priced by the resolution.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: Alert fatigue costs engineering teams their focus and uptime. Acute correlates and routes critical infrastructure alerts so you only wake up for real incidents.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: 8a7027c7af16cc78

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Incident correlation and routing platform for on-call engineers at mid-market companies. Unlike PagerDuty or Opsgenie — eliminate alert noise and pay only for resolved incidents.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: f5dac1d647769a1a

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Sifting through PagerDuty notifications for Prometheus webhooks takes hours of manual correlation during a critical outage
Solution: Alert fatigue costs engineering teams their focus and uptime. Acute correlates and routes critical infrastructure alerts so you only wake up for real incidents.
Customer: on-call engineers at mid-market companies
Unlike: PagerDuty or Opsgenie
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: 54df10ed09e9aab6

## Startup Token M E D D P I C C

**Pain**: Sifting through PagerDuty notifications for Prometheus webhooks takes hours of manual correlation during a critical outage
**Metrics**: Target: Your on-call rotations are quiet, and critical infrastructure issues are resolved automatically or routed to the right person with full context.
**Rendered**: Pain: Sifting through PagerDuty notifications for Prometheus webhooks takes hours of manual correlation during a critical outage
Economic buyer: Platform Engineering Manager
Metrics: Target: Your on-call rotations are quiet, and critical infrastructure issues are resolved automatically or routed to the right person with full context.
Competition: PagerDuty or Opsgenie
**Mechanism**: spine-derived-v1
**Competition**: PagerDuty or Opsgenie
**Economic Buyer**: Platform Engineering Manager
**Vocab Fingerprint**: e0b13fedeb4aedcc

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Incident correlation and routing platform for on-call engineers at mid-market companies

on-call engineers at mid-market companies — Sifting through PagerDuty notifications for Prometheus webhooks takes hours of manual correlation during a critical outage Alert fatigue costs engineering teams their focus and uptime. Acute correlates and routes critical infrastructure alerts so you only wake up for real incidents.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: d4f907fc1a2ad96d

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Incident correlation and routing platform. Alert fatigue costs engineering teams their focus and uptime. Acute correlates and routes critical infrastructure alerts so you only wake up for real incidents. Serves on-call engineers at mid-market companies.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: 2c9682861849bbd5

## Neighborhood

### Candidate solutions

- [Active Threat Dispatching](/Problems/Active_Threat_Dispatching) — candidate solution for · Problems

### What it offers

- [Contextual Alert Router](/Software/Contextual_Alert_Router) — offers · Software

### Composed of

- [Incident Resolution Service](/Services/Incident_Resolution_Service) — composes · Services
- [Alert Triage Agent](/Agents/Alert_Triage_Agent) — composes · Agents
- [Topology Context Worker](/Agents/Topology_Context_Worker) — composes · Agents
- [Event Ingestion API](/Software/Event_Ingestion_API) — composes · Software
- [Correlation Rules Engine](/Software/Correlation_Rules_Engine) — composes · Software

### Competitors

- [BigPanda AIOps](/Competitors/BigPanda_AIOps) — competes with · Competitors
- [Manual Alert Triage](/Competitors/Manual_Alert_Triage) — competes with · Competitors
- [PagerDuty](/Competitors/PagerDuty) — competes with · Competitors
- [Opsgenie](/Competitors/Opsgenie) — competes with · Competitors
- [Splunk On-Call](/Competitors/Splunk_On-Call) — competes with · Competitors

### Embodies

- [Software](/Theses/Software) — embodies · Theses

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