Problem

Sherloq addresses the fragmented, inefficient way data teams manage SQL. Analysts often store queries across notebooks, Slack, documents, dashboards, and personal files, so two people can answer the same business question differently. Finding, validating, sharing, and reusing prior work creates context switching, repetitive analysis, inconsistent definitions, and avoidable SQL errors. The economic pain is primarily lost analyst and stakeholder time, compounded as organizations accumulate more tables and queries without a reliable source of truth.

The killer use case is a large data organization trying to standardize and reuse its everyday SQL. In Sherloq’s AppsFlyer case study, the company had more than 10,000 tables and processed 2 million queries per day; analysts repeatedly solved similar problems because prior queries were difficult to find and reuse. After adoption, AppsFlyer reported a 70% reduction in time spent searching for data assets, with more than 1,600 queries organized into over 670 folders.

Product / Service

Sherloq is a collaborative SQL repository and AI data agent that turns an organization’s existing SQL work into searchable, reusable context. Users can save queries from their editor or import them from elsewhere, organize them into shared folders, create versions, manage permissions, and ask an AI assistant to work with their own SQL rather than generic code. Its AI capabilities include context-aware query generation and modification, syntax fixes, logic and filter extraction, join assistance, and finding relevant tables and fields.

The product is delivered as a lightweight plugin on top of existing SQL editors, including Chrome-based workflows and JetBrains, rather than as a replacement for the data stack. Sherloq says it requires no integration with customers’ data or metadata and does not store or access the underlying data, while offering SOC 2 Type II certification, SSO, and enterprise options. The commercial model is freemium: a free tier is limited by saved queries and AI usage, a Pro plan is listed at $16 per user per month when billed annually, and Enterprise pricing is custom.

Market

Sherloq competes in B2B SaaS at the intersection of analytics, generative AI, data-team collaboration, and SQL knowledge management. Its direct positioning is a shared, editor-native repository for SQL, while its practical alternatives include Notebooks, Slack, Notion or Google Docs, GitHub, and other query and analytics collaboration tools. Product Hunt lists adjacent alternatives such as LogicLoop AI SQL Copilot, PopSQL, SQLPilot, and Chat2DB Pro, although these products do not necessarily offer the same combination of repository, workflow, and organizational knowledge features.

The company was founded in 2022, participated in Y Combinator’s Winter 2023 batch, and is listed by YC as active with a six-person team. Customer evidence includes AppsFlyer’s reported deployment and measurable usage outcomes, as well as user testimonials from analysts at Taboola, Natural Intelligence, and AppsFlyer. Sherloq clearly has a paid commercial offering and enterprise sales motion, but the researched materials do not disclose revenue, customer-count, or funding figures; therefore, it cannot be labeled definitively pre-revenue from the available evidence.