Sherlocks.ai
Sherlocks.ai is an AI-native incident response platform that autonomously investigates production incidents in cloud-native environments and delivers root cause analysis through Slack, targeting enterprise and mid-market SRE and DevOps teams.
- Company typePrivate
- Founded2025
- HeadquartersDover, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Sherlocks.ai does
Sherlocks.ai is an AI-native incident management platform that autonomously investigates production incidents in complex cloud-native environments and delivers structured root cause analysis (RCA) directly through Slack. The platform is built around three core technical components: the Watson Agent — an autonomous AI agent deployed via Helm inside the customer Kubernetes cluster with read-only access to infrastructure; the Awareness Graph — a living map of service dependencies, behavioral baselines, historical incident patterns, and team knowledge derived from telemetry and Slack context; and an Investigations workflow that generates and tests root-cause hypotheses across metrics, logs, traces, and deployment events. The product integrates with more than 30 tools across cloud providers (AWS, GCP, Azure), Kubernetes, databases (MySQL, PostgreSQL, MongoDB, Redis, Cassandra, Elasticsearch), message queues (Kafka, RabbitMQ, SQS, Azure Service Bus), observability platforms (Prometheus, Datadog, New Relic, Sentry, Coralogix), and CI/CD systems (GitHub, Jenkins, GitHub Actions, Azure Pipelines).
The company sells on a SaaS subscription basis with quote-based pricing and no public price list, delivered via SaaS, Self-Hosted, Hybrid, or In-VPC deployment models with SOC2 Type 2 compliance. Its go-to-market combines enterprise field sales for North American engineering teams with a Slack-native product-led growth path (Add to Slack / @sherlocks commands) for mid-market self-serve onboarding. The platform primarily targets enterprise and mid-market SRE and DevOps teams facing long mean-time-to-resolve (MTTR), high on-call toil, and fragmented observability tooling; secondary segments include Managed Service Providers managing multiple client environments. Headquartered in Dover, Delaware, with founders based in India, the company was founded in 2025 by Gaurav Toshniwal (CEO) and Akshat Sandhaliya (CTO), and has raised a Rs 7.5 crore pre-seed round led by SenseAI Ventures with Upekkha participation.
Sherlocks.ai firmographics
Firmographics- Name
- Sherlocks.ai
- Legal name
- Sherlocks.ai
- Website
- https://sherlocks.ai
- Company type
- Private
- Founded year
- 2025
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Sherlocks.ai is an AI-native incident response platform that autonomously investigates production incidents in cloud-native environments and delivers root cause analysis through Slack, targeting enterprise and mid-market SRE and DevOps teams.
- Ownership category
- akta.pro rank
Sherlocks.ai industry classification
Industry- Product category
- AI-Powered SRE / Incident Management Software
- NAICS
- Software Publishers (5132)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF)
- akta.pro secondary industries
- Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG), Model Monitoring, Accountability & Incident Management (HDAAAMAF)
Keywords
Where Sherlocks.ai is headquartered
LocationHeadquarters
- HQ city
- Dover
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
Sherlocks.ai business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Operations, Infrastructure
Revenue model
- SaaS Platform Subscription: Cloud-native SaaS model with Watson agent deployed in customer VPC. AI reasoning happens in Sherlocks cloud. Results delivered via Slack. Multiple deployment models available: SaaS, Self-Hosted, Hybrid, and In-VPC LLM with Azure OpenAI.
Go-to-market motion3 records
Distribution channels3 records
Marketing channels7 records
Sherlocks.ai product offering
Product offeringCore offering
Sherlocks.ai is an AI-native incident management platform that autonomously investigates production incidents and delivers root cause analysis (RCA) in minutes. Its Watson Agent reads telemetry across 30+ tools (cloud providers, Kubernetes, databases, observability, CI/CD), correlates signals, and reports findings back to engineering teams through a Slack-native interface. The platform is sold as a SaaS subscription with VPC-native deployment for security and compliance.
Product overview
Sherlocks.ai is an AI-powered SRE (Site Reliability Engineering) platform that provides autonomous incident investigation and root cause analysis. The core Sherlocks AI Platform serves as the unified product, with Watson Agent as the primary AI engine that continuously monitors infrastructure. The platform builds an Awareness Graph from correlated telemetry data and uses an Investigations workflow to autonomously analyze incidents, generating comprehensive RCA through the RCA Generator module. All interaction happens natively through Slack, where users can ask questions (@sherlocks why is the API slow?) and receive instant analysis. The platform integrates with 19+ systems including cloud providers (AWS, GCP, Azure), Kubernetes, databases (MySQL, PostgreSQL, MongoDB, Redis, Cassandra), message queues (Kafka, RabbitMQ, SQS), observability tools (Prometheus, Datadog, New Relic, Sentry, Coralogix), and CI/CD systems (GitHub, Jenkins, GitHub Actions, Azure Pipelines).
Differentiator
Problem solved
Functional benefit
Products and services
- Sherlocks AI Platform AI-native incident management platform that autonomously investigates production incidents and delivers root cause analysis in minutes. Integrates with 30+ tools across cloud providers, Kubernetes, databases, and observability platforms, and is operated by engineers through a Slack-native interface for questions and investigation triggering. Sold to enterprise and mid-market engineering teams.
Quantifiable outcome
- MTTR reduced by up to 70%
- +5 more outcomes
Companies that use Sherlocks.ai
Customer profileNamed customers9 records
Segments3 records
Ideal customer profiles3 records
Sherlocks.ai technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration27 records
AI capability7 records
Feature12 records
Sherlocks.ai partnerships and signals
Strategic signalPartnerships
Nine partnerships are on record, tiered core.
- SlackcoreSlack is the primary user interface and integration point for Sherlocks.ai. Users can 'Add to Slack' directly, trigger investigations via @sherlocks, and receive RCA findings directly in Slack channels. Deep product integration with Slack workspace monitoring.
- AWS (Amazon Web Services)coreIntegration with AWS services: EC2, RDS, Lambda, S3, CloudWatch, ECS. Cloud-native deployment model supports AWS infrastructure. Watson agent deployed in customer VPC on AWS.
- Google Cloud PlatformcoreIntegration with GCP services: Compute Engine, Cloud SQL, GKE, Cloud Monitoring. Watson agent compatible with GCP infrastructure.
- Microsoft AzurecoreIntegration with Azure services: VMs, Azure SQL, AKS, Azure Monitor. In-VPC LLM deployment option with Azure OpenAI Service. AWS Bedrock also supported for private LLM.
- Kubernetes / HelmcoreCore orchestration platform. Watson agent deployed via Helm in customer Kubernetes cluster. Integrations with pods, deployments, services, events, logs, resource metrics. Helm for release tracking.
- DatadogcoreIntegration with Datadog for infrastructure metrics, APM traces, logs, and dashboards. Sherlocks queries Datadog metrics for baseline establishment and anomaly detection.
- New ReliccoreIntegration with New Relic for APM, error tracking, and transaction metrics. Correlates New Relic data during incident investigations.
- PrometheuscoreIntegration with Prometheus for metrics, time-series, and alert rules. Read-only query API access for baseline establishment and anomaly detection.
- GitHubcoreIntegration with GitHub for commits, PRs, branches, and deployment events. Read-only access to repository metadata and commit history for correlating code changes with incidents.
Scale indicators5 records
Recent moves5 records
Expansion highlights5 records
Sherlocks.ai competitors and assessment
Company assessmentOthers
Direct peers
- Rootly: Incident response and on-call automation platform with Slack-native workflows. Competes with Sherlocks for SRE/DevOps team incident management budgets with overlapping Slack-first GTM motion.
- incident.io: Slack-native incident response and on-call management platform. Directly comparable to Sherlocks in targeting engineering teams via Slack for incident workflow automation, though with less autonomous AI investigation.
Broad incumbents
- PagerDuty: Incident management and alerting platform used by enterprises for on-call and response workflows. Sherlocks positions as complementary at the investigation layer, but PagerDuty is expanding into AIOps, making it the most direct competitive incumbent.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat4 records
Key risks5 records
Key highlights7 records
Customer concentration
Sherlocks.ai social profiles
Digital presenceSherlocks.ai compliance and trust
Trust signalCompliance2 records
Sherlocks.ai financial estimates
Financial estimateRevenue estimate
Valuation estimate
Sherlocks.ai leadership team
Management profileNumber of profiles
Profiles1 record
Sherlocks.ai funding detail
Funding detailFunding overview
Funding rounds2 records
Investors2 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Sherlocks.ai M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Sherlocks.ai
What does Sherlocks.ai do?
Sherlocks.ai is an AI-native incident management platform that autonomously investigates production incidents and delivers root cause analysis (RCA) in minutes. Its Watson Agent reads telemetry across 30+ tools (cloud providers, Kubernetes, databases, observability, CI/CD), correlates signals, and reports findings back to engineering teams through a Slack-native interface. The platform is sold as a SaaS subscription with VPC-native deployment for security and compliance.
Is Sherlocks.ai a public or private company?
Sherlocks.ai is a private company. It is classified as venture growth investor backed and is currently operating.
When was Sherlocks.ai founded?
Sherlocks.ai was founded in 2025. It employs 1 to 10 people.
Where is Sherlocks.ai based?
Sherlocks.ai is headquartered in Dover, United States, in the North America region.
How does Sherlocks.ai make money?
One revenue line is on record: saaS Platform Subscription.
Who are Sherlocks.ai's main competitors?
Datadog is listed as an others. Direct peers are Rootly and incident.io. PagerDuty is listed as a broad incumbent.
Does Sherlocks.ai have an API?
No public API is recorded for Sherlocks.ai.
What industry is Sherlocks.ai in?
Sherlocks.ai's product category is AI-Powered SRE / Incident Management Software. Its primary akta.pro industry code is HDAEANAF, AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety), with a secondary code of HDAEANAG, Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII). Its NAICS code is 5132 and its SIC code is 7372.