Jobs with Startups
JobsStartupsInvestorsMCP
Startups

Strac

Strac logo

Strac

Data Discovery, DLP, DSPM for SaaS, Cloud, Gen AI & Endpoints

strac.io
HQ: Bellevue, WA, USA
1-10
B2B

Company research

Public company, workplace, funding, and market signals

Overview

AI-native data security platform for SaaS, cloud, GenAI, browsers, and endpoints, combining DLP and DSPM to discover, classify, and automatically remediate sensitive data.

Primary product

Unified DLP/DSPM platform for SaaS, cloud, GenAI, browser, and endpoint data security

Founded

2021

Headquarters

Bellevue, Washington, United States

Team size

10-20

Work style

Flexible

Industry

Computer and Network Security

Sub-industry

Data Loss Prevention (DLP), DSPM, and AI data security

Offices

Bellevue, Washington, United States

Business model

B2B SaaS
Enterprise software
Custom-scoped quote / sales-led subscription

Funding

Stage

Seed

Total raised

$4M

Latest round

Seed · Jul 2022

Latest amount

$3.5M

People & investors

Leadership

Aatish Mandelecha

Founder & CEO

Alfred Chiesa

VP, Engineering

Investors

FUSE
Liquid 2 Ventures
Rogue Capital Partners
Undisclosed angel investors
Unshackled Ventures
Wayfinder Ventures
Y Combinator

Work & culture

Customer-obsessed, security- and productivity-minded, and described publicly as a lean, cash-flow-positive team of ex-Amazon builders.

Work style

Flexible

Compensation

Public YC job postings show roughly $60K-$210K USD for U.S. roles, ₹2.5M-₹5M INR for India engineering roles, and 0.01%-0.20% equity depending on role.

Product & market

Pricing

Custom quote based on protected surfaces, connected integrations, data volume, and headcount; itemized quote returned within 24 hours after scoping.

Differentiators

  • —Agentless, API-first deployment that can go live in minutes
  • —Unified DSPM + DLP across SaaS, cloud, GenAI, browser, and endpoints
  • —Real-time remediation instead of alerts-only workflows
  • —OCR and ML-based detection for screenshots, PDFs, images, and other unstructured content
  • —Built-in actions like redaction, masking, tokenization, blocking, deletion, and revoking sharing
  • —Broad SaaS integrations including Slack, Gmail, Google Workspace, Salesforce, Zendesk, Notion, Jira, Confluence, and Intercom
  • —Compliance-oriented templates for PCI, HIPAA, SOC 2, GDPR, ISO 27001, and NIST
  • —MCP / AI-agent coverage and browser DLP for GenAI workflows

Technology

Intercom
JavaScript
React
Python
Java
SQL
Google Cloud
Terraform
Kubernetes
Docker
GitHub Actions
Datadog
GitHub
Slack
OpenAI
Hugging Face
Zendesk
Salesforce
OAuth
Sentry

Customers

UiPath
Databricks
thredUP
B Capital
Crypto.com
Trivium
Seis
Zeta
Hostinger
Rho

Competitors

Microsoft Purview
Forcepoint
Proofpoint
Netskope
Zscaler
Symantec DLP (Broadcom)
Trellix DLP
Digital Guardian
Cyera
Varonis

Scale & contact

Estimated revenue

approximately $1M-$2M ARR (public estimates vary)

Estimated monthly visits

12.3K

hello@strac.io+1 (418) 547-0286

Latest news

Best DLP Software: Top 13 Data Loss Prevention Tools & Solutions (2026)

Strac blog · Jul 2026

2026 comparison guide positions Strac as the best overall DLP option for SaaS, cloud, GenAI, and MCP, and compares it with legacy vendors such as Symantec, Microsoft Purview, Proofpoint, Netskope, and Zscaler.

AI-Native Compliance Automation Software: The 2026 Guide

Strac blog · Jul 2026

Introduces Strac Comply and the AI Evidence Agent, framing Strac as a security-first compliance automation platform for evidence collection and remediation.

The Best Data Loss Prevention Solution for the Modern Age

Strac blog · Jul 2026

Positions Strac as a modern DLP solution spanning SaaS, cloud, endpoints, browsers, and GenAI, with real-time remediation and OCR-based detection.

Zscaler vs Netskope: DLP, CASB & SASE Compared (2026)

Strac blog · Jul 2026

Explains how Zscaler and Netskope differ and frames Strac as the complementary data-security layer for at-rest data and AI/GenAI workflows.

Protect AI Agents: Block & Redact Sensitive Data Before It Reaches AI (2026)

Strac blog · Jul 2026

Shows how Strac applies browser, endpoint, and MCP-layer controls to stop sensitive data from reaching or leaving AI agents.

AboutBlogContactGitHubIntegrationsJobsLinkedIn companyPricingWebsiteX
SourcesOfficial homepageAbout StracPricingContactTerms and ConditionsYC JobsLinkedIn company pageTechCrunch funding articleGeekWire funding articleGitHub organizationWayfinder Ventures profileLatka revenue estimateOfficial blog: DLP tools comparison

Jobs and careers at Strac

0 jobs at Strac

No open positions

Check back later for new openings

Explore startup hiring

Startup Hiring PulseBrowse all startup jobsJobs at Y Combinator startupsJobs at AI startupsJobs at venture-backed startupsB2B startup jobs

Jobs with Startups © 2026

Browse jobsMCP guideAboutPowered by Supabase