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Squint

Squint offers an AI‑driven Manufacturing Intelligence platform that captures, digitizes, and centralizes tribal knowledge into an interactive, searchable library. It automatically generates step‑by‑step SOPs from video and other inputs, delivers real‑time guidance to frontline workers via an AI Assistant, and provides workflow orchestration and analytics to reduce downtime and improve quality across multiple sites.

San Francisco, United States · HQ
Founded 2021957K+ followers
  • Artificial Intelligence
  • Data & Analytics
  • Enterprise Software
  • Internet of Things
  • Manufacturing / Industry 4.0
  • Software Only
Updated 4 months ago

Funding

Raised to date

$59MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

across 3 rounds

TW

$40M · Series B

Announced Aug 2025

Disclosed cumulative: $40M

Not on chart (date unknown): Series A $13M, Seed $6M

Founders

3 founders

Devin Bhushan

CEO

Dylan Conway

Founding Customer Lead

Jim Zhu

Founding Engineer

Product

Problem

Manufacturing plants often rely on fragmented sources of operational knowledge—manuals, disparate systems, and undocumented expertise held by individual workers—leading to inconsistent procedures, prolonged downtime, and quality defects.

Solution

Squint provides an AI‑driven Manufacturing Intelligence platform that captures, digitizes, and centralizes tribal knowledge into an interactive, searchable knowledge library. The system automatically generates step‑by‑step SOPs from video, transcripts, and user inputs, then delivers those procedures to frontline workers through an AI‑powered Assistant that offers real‑time guidance and troubleshooting. Integrated workflow tools orchestrate task assignment, execution, and data capture across any location, while analytics surface performance trends and enable rapid, organization‑wide improvements. By connecting to existing ERP, MES, and CMMS systems via APIs, Squint enriches current technology stacks without requiring extensive re‑engineering.

Target Audience

Primary customers are large‑scale manufacturers, plant operations teams, and maintenance organizations that need to standardize procedures, reduce downtime, and improve product quality across multiple sites.

Features

  • AI‑generated procedures created from recorded work, video, and contextual inputs, producing standardized SOPs in minutes
  • Unified knowledge hub that stores procedures, documents, videos, and spatial notes with enterprise‑grade version control and access governance
  • Real‑time Assistant that surfaces relevant diagnostic steps and guidance on the shop floor without leaving the workflow
  • Workflow engine for digital work assignment, step‑by‑step execution, and automatic capture of photos, timestamps, and operator inputs
  • Built‑in verification and multimedia instructions to enforce critical steps and reduce rework
  • API and integration marketplace for seamless connection to ERP, MES, CMMS, and other plant systems
  • Analytics dashboard that aggregates frontline data to identify variation, bottlenecks, and improvement opportunities
This profile is AI-generated and may contain inaccuracies.