Also known as: Dataland
AI-powered internal tools platform that enables frontline teams to search, analyze, and automate operations across all business systems.
Frontline teams in customer support and operations spend excessive time manually retrieving data from multiple disconnected systems, creating bottlenecks and forcing reliance on engineers for routine queries.
Frontline teams in customer support and operations spend excessive time manually retrieving data from multiple disconnected systems, creating bottlenecks and forcing reliance on engineers for routine queries.
AI-powered platform that provides a unified interface for querying, analyzing, and automating operations across all business systems using natural language, enabling non-technical users to access data and trigger automations independently.
AI-powered platform that provides a unified interface for querying, analyzing, and automating operations across all business systems using natural language, enabling non-technical users to access data and trigger automations independently.
Appears active as of February 2026 based on Y Combinator company directory and operational website.
Appears active as of February 2026 based on Y Combinator company directory and operational website.
Dataland is an AI-powered internal tools platform designed to help frontline teams—including customer support, operations, and business users—access, analyze, and act on data across their entire technology stack without requiring engineering support. The platform integrates with systems of record such as Postgres, MongoDB, Stripe, and HubSpot, providing a unified interface for complex data operations.
Frontline teams in customer support and operations frequently face significant friction when accessing critical business data. Support agents often need to pull information from multiple disconnected systems, a process that can consume hours of manual work. For example, retrieving details across 50 to 200 orders from four different systems can require stepping away from customer interactions for extended periods. This fragmentation creates bottlenecks, slows response times, and forces teams to rely on engineers or data analysts for routine queries, diverting technical resources from higher-value work.
Dataland is an AI-powered internal tools platform designed to help frontline teams—including customer support, operations, and business users—access, analyze, and act on data across their entire technology stack without requiring engineering support. The platform integrates with systems of record such as Postgres, MongoDB, Stripe, and HubSpot, providing a unified interface for complex data operations.
Frontline teams in customer support and operations frequently face significant friction when accessing critical business data. Support agents often need to pull information from multiple disconnected systems, a process that can consume hours of manual work. For example, retrieving details across 50 to 200 orders from four different systems can require stepping away from customer interactions for extended periods. This fragmentation creates bottlenecks, slows response times, and forces teams to rely on engineers or data analysts for routine queries, diverting technical resources from higher-value work.
Subscription-based SaaS with free plan and paid plans starting at $70 per user per month.
Subscription-based SaaS with free plan and paid plans starting at $70 per user per month.
Fast-growing startups and public companies with complex operations, customer support teams, and multiple systems of record.
Fast-growing startups and public companies with complex operations, customer support teams, and multiple systems of record.
Active website and Y Combinator directory listing as of February 2026.
Hiring: Hiring for Founding Forward Deployed Engineer role ($150K–$400K, 1% equity, 3+ years experience).
Active website and Y Combinator directory listing as of February 2026.
Hiring: Hiring for Founding Forward Deployed Engineer role ($150K–$400K, 1% equity, 3+ years experience).
Dataland addresses this challenge by providing a fast, AI-powered interface that allows non-technical users to query and manipulate data across all their systems from a single platform. Users can search, filter, and trigger automations using natural language prompts, with AI handling the complexity of multi-system data retrieval. The platform includes an agents feature—currently in beta—that automates decision-making on operational tasks. For instance, an agent can review a queue of customer orders and automatically determine the appropriate action (such as issuing a refund or discount) based on predefined business rules.
Dataland addresses this challenge by providing a fast, AI-powered interface that allows non-technical users to query and manipulate data across all their systems from a single platform. Users can search, filter, and trigger automations using natural language prompts, with AI handling the complexity of multi-system data retrieval. The platform includes an agents feature—currently in beta—that automates decision-making on operational tasks. For instance, an agent can review a queue of customer orders and automatically determine the appropriate action (such as issuing a refund or discount) based on predefined business rules.
Dataland enables teams to execute line-item operations at high speed, perform complex data filtering, and set up automations without engineering involvement. The platform supports HIPAA compliance for healthcare organizations and maintains SOC 2 Type II certification. Data is encrypted both at rest and in transit throughout its full lifecycle. Users can ingest data from existing sources, filter it rapidly, and trigger automated workflows based on business logic.
Dataland enables teams to execute line-item operations at high speed, perform complex data filtering, and set up automations without engineering involvement. The platform supports HIPAA compliance for healthcare organizations and maintains SOC 2 Type II certification. Data is encrypted both at rest and in transit throughout its full lifecycle. Users can ingest data from existing sources, filter it rapidly, and trigger automated workflows based on business logic.
Customers report significant operational improvements. Support teams have achieved 4x faster case handling, with some users completing in seconds what previously required an hour of manual work across multiple systems. Operations teams have reduced manual work by weeks and improved data visibility. The platform has enabled teams to identify and remove problematic products from marketplaces in minutes rather than months, and to deliver internal tools without blocking on engineering resources.
Customers report significant operational improvements. Support teams have achieved 4x faster case handling, with some users completing in seconds what previously required an hour of manual work across multiple systems. Operations teams have reduced manual work by weeks and improved data visibility. The platform has enabled teams to identify and remove problematic products from marketplaces in minutes rather than months, and to deliver internal tools without blocking on engineering resources.
Dataland serves fast-growing startups and public companies that rely on complex operations and customer support at scale. The platform is particularly valuable for organizations with multiple systems of record and teams that need rapid access to operational data without technical intermediaries.
Dataland serves fast-growing startups and public companies that rely on complex operations and customer support at scale. The platform is particularly valuable for organizations with multiple systems of record and teams that need rapid access to operational data without technical intermediaries.
Dataland operates on a subscription model with a free plan and paid plans starting at $70 per user per month. The company has achieved multi-million dollar annual recurring revenue within eight months of launch while maintaining profitability.
Dataland operates on a subscription model with a free plan and paid plans starting at $70 per user per month. The company has achieved multi-million dollar annual recurring revenue within eight months of launch while maintaining profitability.
