Teleskope closed a $25M Series A in November 2025 led by M13, with participation from Primary Venture Partners and Lerer Hippeau.

The company previously raised a $2.2M pre-seed round in July 2023, followed by an estimated $7M seed round in late 2024. Total funding raised to date stands at $32.2M across these three rounds.

Teleskope operates as an automated data security platform that continuously discovers, classifies, and remediates sensitive data across enterprise environments. Think of it as an intelligent agent that roams through a company's entire data infrastructure—cloud storage, SaaS applications, databases, and on-premises systems—identifying sensitive information and automatically fixing security issues without human intervention.

The platform connects to over 30 data sources including AWS, Google Cloud, Azure, Snowflake, BigQuery, Slack, Jira, Google Workspace, Salesforce, GitHub, and Box. Once authenticated, Teleskope scans both data-at-rest and data-in-motion, creating a searchable catalog that security and privacy teams can navigate like Google Drive.

At the core is a proprietary multi-stage machine learning pipeline that classifies over 150 entity types including personally identifiable information, protected health information, payment card data, API keys, and other sensitive content. The system achieves high precision while processing large volumes of data at scale.

The platform's newest capability, Prism, uses fine-tuned large language models to understand entire documents rather than just individual data elements. This allows the system to categorize complex content like employment contracts or merger documents and enables natural-language policy creation.

Teleskope's Policy Maker engine lets teams create declarative rules that automatically trigger remediation actions. When the system detects violations—such as overprivileged access to sensitive files or stale data that should be deleted—it can revoke permissions, redact content in place, create tickets in project management systems, or send alerts to team channels.

The platform also exposes APIs that developers can embed directly into CI/CD pipelines and data processing workflows, enabling real-time data classification and redaction as part of the software development lifecycle.

Teleskope operates a B2B SaaS model with subscription pricing that scales based on the number of data sources monitored and the volume of sensitive data processed. The platform charges customers for both the discovery and classification capabilities as well as the automated remediation actions performed across their environments.

The business model centers on continuous monitoring rather than point-in-time assessments. Once deployed, Teleskope runs perpetually across customer infrastructure, generating ongoing value through automated policy enforcement and compliance maintenance. This creates strong retention dynamics as the platform becomes embedded in critical security workflows.

Revenue expands within accounts as customers connect additional data sources and enable more sophisticated remediation policies. The API-first architecture allows for consumption-based growth as development teams integrate classification services into more applications and data pipelines.

Teleskope's cost structure includes both cloud infrastructure for processing and machine learning inference, as well as the ongoing development of classification models and integration connectors. Unlike pure software plays, the company invests heavily in training and maintaining AI models that must adapt to evolving data types and regulatory requirements.

The automated remediation focus differentiates Teleskope from discovery-only competitors by positioning data security as a revenue enabler rather than just a compliance cost center. Customers can accelerate product development and data initiatives knowing that sensitive information is automatically protected according to policy.

The data security posture management market has seen massive consolidation as larger security platforms acquire point solutions to bundle DSPM capabilities. CrowdStrike acquired Flow Security to expand its cloud security platform, while Rubrik bought Laminar to combine data protection with backup and recovery services.

Veeam's acquisition of Securiti for $1.73B creates a formidable competitor that can offer data security alongside backup services to a massive existing customer base. These integrated players compete on price bundling and single-vendor convenience, making it harder for standalone solutions to win large enterprise deals.

Fortinet's acquisition of Next DLP and Proofpoint's purchase of Normalyze demonstrate how network security and email security vendors are folding data discovery into existing data flows. This creates competitive pressure around pricing and forces pure-play vendors to differentiate on automation capabilities.

Cyera has emerged as the category leader with $760M raised and a $6B valuation, positioning itself as a comprehensive data security platform. The company's massive funding advantage allows for aggressive R&D investment and market expansion that smaller competitors struggle to match.

Concentric AI focuses specifically on AI-powered data classification and has raised $67M to build advanced natural language processing capabilities. The company competes directly on classification accuracy and the ability to understand unstructured data at scale.

These well-funded pure-plays create a two-tier market where companies like Teleskope must differentiate through specialized capabilities like automated remediation rather than competing on breadth of features or market coverage.

OneTrust and BigID have expanded from privacy and governance into data security posture management, leveraging existing enterprise relationships and compliance workflows. These platforms offer broader regulatory coverage but typically require more complex implementations.

Securiti, before its Veeam acquisition, positioned itself as a comprehensive data intelligence platform spanning privacy, security, and governance. Traditional GRC vendors compete on regulatory expertise and established compliance processes rather than technical automation capabilities.

The launch of Prism represents a significant expansion beyond traditional data classification into business-level document understanding. By using large language models to categorize and summarize entire documents, Teleskope can address enterprise knowledge management, insider risk monitoring, and AI training data governance use cases.

This capability opens opportunities in legal document review, intellectual property protection, and contract lifecycle management—markets that extend well beyond traditional data security buyers. The natural-language policy creation and recommendation features could appeal to business users rather than just technical security teams.

Teleskope's API-first architecture and real-time classification endpoints position the company to capture developer security tooling budgets estimated at $6B to $8B annually. By embedding data classification directly into CI/CD pipelines and application development workflows, the platform can expand beyond security team buyers.

The shift toward compliance as code and DevSecOps practices creates demand for automated data protection that doesn't slow down software development. Teleskope's redaction-as-a-service capabilities can serve development teams building AI applications that need to sanitize training data or user inputs.

The explosion of privacy regulations creates opportunities for jurisdiction-aware automation across multiple markets. With 17 state privacy laws already active and additional regulations coming in Brazil, India, and South Korea, companies need adaptive compliance solutions that can handle regional requirements.

Teleskope's policy engine can be localized and packaged as compliance frameworks for specific jurisdictions, creating recurring revenue opportunities as regulations evolve. The Asia-Pacific security posture management market is projected to grow at nearly 15% annually through 2030, offering greenfield expansion opportunities.

As 74% of enterprises cite data security as the primary barrier to AI adoption, Teleskope can position itself as an enabler of safe AI initiatives. The platform's ability to classify and protect training data, monitor AI model inputs, and ensure compliance with emerging AI regulations creates a new category of AI governance buyers.

This positions Teleskope to capture budget from chief technology officers and chief AI officers who need to implement responsible AI practices while accelerating AI adoption across their organizations.

Acquisition pressure: The rapid consolidation in DSPM through acquisitions by larger security platforms creates pressure for Teleskope to either be acquired or compete against well-funded, integrated offerings that can bundle data security with existing security tools at aggressive pricing.

Classification accuracy: Teleskope's value proposition depends heavily on the accuracy of its AI-powered data classification, and any significant false positives or missed sensitive data could undermine customer trust and create compliance liability for enterprise customers.

Platform commoditization: As cloud providers like AWS, Google Cloud, and Microsoft Azure build native data classification and governance capabilities into their platforms, the differentiation around data discovery and basic classification may erode, forcing a shift toward more specialized remediation and policy automation features.