Teleskope Tech Stack

Agentic data security platform for AI-era risk detection and remediation

Data Security Software Products New York 11–50 employees Founded 2022 Privately Held

Teleskope builds an ML-first data security platform centered on autonomous detection, classification, and remediation of data risks. The tech stack (Python, LangChain, Hugging Face, Go, Kubernetes) and active projects (agentic remediation pipelines, NLP-driven classification, production ML systems) reveal an engineering organization betting heavily on generative AI and reinforcement learning for data governance—not rule-based scanning. The hiring velocity (5 roles in 30 days, engineering-dominant) and explicit pain points around scaling ML systems and agentic production workloads signal they're moving from MVP toward enterprise-grade automation.

Tech Stack 15 technologies

Core StackPython LangChain Hugging Face Go AWS TypeScript React Java Terraform Kubernetes Docker SQL Azure GCP Bash

What Teleskope Is Building

◆Challenges

Data sprawl
Ai data security
Scaling ml systems for data classification
Enabling ai adoption
Scaling teams and systems at high-growth startups
Scaling engineering and ai organizations
Policy-based actions
Secure ai adoption
Customer adoption
Platform usage

▲Active Projects

Agentic ml pipelines for policy-driven remediation
Nlp and genai models for data classification and risk prioritization
End-to-end user-facing features for teleskope platform
Production ml systems for data risk detection and remediation
Productionization of ml-powered and agentic systems
Scaling engineering and ai organizations
Element classification system
Entity classification pipelines
Core ml systems for data classification
Core product development

Hiring Activity

Accelerating10 roles · 5 in 30d

Department

Engineering

Support

Product

Seniority

Senior

Staff

Director

Mid

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About Teleskope

Teleskope is a data security startup (founded 2022, 11–50 employees, based in New York) that automates data discovery, classification, and remediation for enterprises navigating AI adoption. The platform scans data in motion and at rest, applies ML-driven risk prioritization, and executes policy-based remediation actions that adapt to each organization's risk profile. The company operates across three technical centers: ML systems for data classification and risk detection, agentic pipelines for autonomous remediation, and end-to-end user-facing platform features. Hiring is concentrated in engineering (with senior and staff-level seniority), reflecting the maturity and complexity of production ML system work.

HeadquartersNew York

Company Size11–50 employees

Founded2022

Hiring MarketsUnited States

Frequently Asked Questions

What technology does Teleskope use to classify data?

Python, LangChain, and Hugging Face models for NLP and generative AI-driven classification. The stack also includes Go, SQL, and cloud infrastructure (AWS, Azure, GCP) for scanning and policy enforcement at scale.

What is Teleskope working on?

Agentic ML pipelines for policy-driven remediation, NLP and GenAI models for data classification, and production systems for scaling autonomous data risk detection. Core focus areas include element and entity classification, and productionizing agentic systems.