Aqueduct

What Aqueduct does

Herald, operating under the legal entity RunLLM, Inc. and headquartered in San Francisco, is an AI-native Site Reliability Engineering (SRE) platform that autonomously detects, investigates, and delivers root cause analysis (RCA) for infrastructure incidents before alerts fire or customers are impacted. Founded by PhDs and professors from UC Berkeley's RISELab, the platform is built on a proprietary context graph that ingests observability data, codebase, CI/CD pipelines, documentation, and dependencies to model normal behavior per environment. It layers custom anomaly detection models (trained per data stream without thresholds) onto this graph and uses LLM-based multi-hypothesis investigation to evaluate candidate root causes against the right data sources in parallel.

The product surface is a single AI agent rather than a suite of tools. It claims 100% RCA accuracy on known issues and 70%+ on novel incidents, with a published Snorkel AI case study reporting 93% accuracy on engineering questions and minute-scale incident resolution. Customer adoption spans AI infrastructure (Databricks, Anyscale, LlamaIndex, Snorkel AI), data management (DataHub, Monte Carlo, MotherDuck), cybersecurity (Corelight), and AI/LLM observability tooling (Arize, DSPy, Eppo, Embrace). Herald is a strategic partner in the ClickHouse HouseMates program, offering up to $25,000 in usage credits to ClickHouse customers.

Herald monetizes via SaaS subscription with a freemium entry point and enterprise plans, using a hybrid go-to-market that combines a self-serve product-led free trial with enterprise 'Book a Demo' field sales and inbound inside-sales. The company is privately held with no public ownership disclosures and a reported headcount of 1-10 employees, indicating an early commercial stage. Notable historical action includes the May 2026 rebrand from RunLLM to Herald, repositioning the company from an LLM-tooling vendor to a focused AI SRE provider.

Name

Aqueduct

Legal name

RunLLM, Inc.

Website

https://aqueducthq.com

Company type

Private

Founded year

2020

Operating status

Operating

Headcount range

1–10 employees

Short description

Herald (legally RunLLM, Inc.) is an AI SRE platform that autonomously detects, investigates, and delivers root cause analysis for infrastructure incidents before customers notice. It serves engineering and DevOps teams at AI and data-infrastructure companies including Databricks, Anyscale, and Snorkel AI.

Ownership category

akta.pro rank

Product category

Site Reliability Engineering Software

NAICS

Computer Facilities Management Services (541513)

SIC

Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

Site Reliability Engineering (SRE) & Reliability Operations (BPAEAKAD)

akta.pro secondary industries

Service Reliability Engineering (SLO/SLI) & Reliability Analytics (HDABAJAL), Observability, Monitoring & AIOps (BPAEAKAG), Site Reliability Engineering (SRE) & Resilience Engineering Tooling (HDABAIAE)

Keywords

• AI SRE platform
• Anomaly detection software
• Incident root cause analysis
• Observability automation platform
• AI DevOps intelligence

Headquarters

HQ city

San Francisco

HQ country

United States

HQ region

North America

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations

Revenue model

1. SaaS Subscription: AI SRE platform offered as a subscription service with free tier and enterprise plans, likely billed on a per-seat or tiered basis

Pricing tiers

Go-to-market motion3 records

Distribution channels3 records

Marketing channels4 records

Core offering

Aqueduct offers an AI-powered Site Reliability Engineering (SRE) platform that proactively detects potential issues across code, infrastructure, and telemetry, autonomously investigates incidents, and delivers root cause analysis before alerts fire or customers complain. The platform eliminates the need for thresholds and runbooks by building custom anomaly detection models per data stream and a context graph that maps codebase, CI/CD, documentation, and dependencies, then uses multi-hypothesis investigation to identify root causes in minutes rather than hours.

Product overview

Herald is a single, unified AI SRE (Site Reliability Engineering) platform. The core product is the Herald AI agent platform that provides predictive anomaly detection, autonomous investigation, and root cause analysis capabilities. Built on UC Berkeley research from RISELab, the platform learns the customer's codebase, infrastructure, and tools to deliver proactive incident prevention without requiring manual threshold configuration or runbook creation. The product was formerly known as RunLLM before its May 2026 rebrand.

Differentiator

Problem solved

Functional benefit

Quantifiable outcome

• 70%+ accuracy on novel incidents for one of the world's biggest B2B2C platforms
• +4 more outcomes

Named customers12 records

Segments2 records

Ideal customer profiles2 records

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability8 records

Feature4 records

Partnerships

Two partnerships are on record, tiered core.

• ClickHousecoreGTM or Marketing Partner · 25 June 2026Herald joined ClickHouse HouseMates Partnership Program, enabling ClickHouse customers to access Herald's AI DevOps intelligence on telemetry data. ClickHouse customers can receive up to $25,000 in free Herald usage credits.
• UC Berkeley RISELabcoreStrategic or Co-development PartnerHerald was founded by PhDs and Professors from UC Berkeley's innovation center, RISELab, combining expertise in AI, LLMs, data systems, and scalable infrastructure. The technology is powered by UC Berkeley research.

Scale indicators5 records

Recent moves6 records

Expansion highlights4 records

Direct peers

• Shoreline.io: Shoreline provides an automated reliability platform with runbook automation and incident remediation on cloud infrastructure, closely overlapping with Herald's autonomous SRE investigation and RCA capabilities for engineering teams.
• BigPanda: BigPanda is an AIOps platform that correlates alerts, detects anomalies, and accelerates incident root cause analysis for IT operations teams, directly comparable to Herald's AI-driven anomaly detection and RCA approach.
• Rootly: Rootly is an incident management and on-call automation platform that streamlines incident response and post-incident learning for engineering teams, competing for the same SRE buyer that Herald targets with autonomous investigation.
• incident.io: incident.io delivers incident response natively inside Slack and Linear, offering automated workflows, retros, and status updates for engineering teams, addressing the same SRE/incident workflow use case as Herald.
• Firehydrant: Firehydrant is an incident response and SRE platform with alerting, on-call, and retrospectives, competing directly with Herald for engineering team budgets dedicated to reliability and incident management.

Broad incumbents

• PagerDuty: PagerDuty is the established incident management and digital operations platform with broad enterprise adoption; it overlaps with Herald's RCA and incident prevention capabilities as part of a much wider portfolio.
• Datadog: Datadog is a leading cloud observability and monitoring suite that already invests heavily in AI-driven alerting and RCA features; it competes broadly with Herald across observability and reliability analytics.
• ServiceNow ITSM: ServiceNow's IT Service Management and IT Operations products cover incident, problem, and change management for large enterprises, addressing the same reliability and incident response buyer as Herald but at a much larger scope.
• Splunk Observability: Splunk's observability and APM products provide enterprise-scale monitoring and analytics, overlapping with Herald's reliability analytics and anomaly detection capabilities as part of a much broader data platform.

Emerging players

• Honeycomb: Honeycomb offers observability for production engineering teams with structured events and tracing, and has been expanding into incident response tooling that overlaps with Herald's investigation and RCA capabilities.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/aqueducthq

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds1 record

Investors1 record

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Aqueduct