--- url: https://www.sighthound.com/llms-full.txt title: Sighthound — Full Content Bundle description: Single-shot ingestion bundle for Sighthound company, product, vertical, Redactor Toolkit, and cross-domain context. site: www.sighthound.com scope: sighthound-marketing content-version: 2026.05.13 last-updated: 2026-05-13 content-type: text/markdown canonical-llms: https://www.sighthound.com/llms.txt markdown-negotiation: true markdown-accept-header: text/markdown markdown-page-aliases: non-blog-pages markdown-alias-exclusions: [/blog, /blog/*, /blog.md, /blog/index.md] agent-toolkit-download-url: https://sh-io-downloads.s3.amazonaws.com/redactor/toolkit/redactor-agent-toolkit.zip agent-toolkit-host: https://toolkit.redactor.com/ --- # Sighthound — Full Content Bundle > This file concatenates Sighthound's canonical product and company facts in one place for agents that prefer a single-shot ingestion over per-page crawling. For the structured metadata and link map, see https://www.sighthound.com/llms.txt. Last updated: 2026-05-13 --- ## Company **Sighthound, Inc.** — a computer-vision platform company. - HQ: 587 East State Road 434, Suite 1063, Longwood, FL 32750, USA - Parent site: https://www.sighthound.com - Product site (Redactor): https://www.redactor.com - Documentation: https://docs.redactor.com - LinkedIn: https://www.linkedin.com/company/sighthound-inc-/ - Facebook: https://www.facebook.com/sighthoundinc/ - Instagram: https://www.instagram.com/sighthoundcv/ - YouTube: https://www.youtube.com/@sighthoundinc Sighthound builds AI-powered license plate recognition, vehicle analytics, video/image/audio redaction, and edge AI compute hardware. Products are sold B2B to law enforcement, parking, public safety, fleet, transit, banking, retail, schools, healthcare, and enterprise. --- ## Product: Sighthound ALPR+ (LPR / ALPR / ANPR) **URL**: https://www.sighthound.com/products/alpr Sighthound ALPR+ is AI-powered software for license plate recognition (LPR / ANPR / ALPR) with vehicle make, model, color, and generation (MMCG) analytics and BOLO (Be On the Lookout) alerts. **Capabilities** - High-accuracy license plate reading (>95% typical) - Vehicle Make, Model, Color, Generation (MMCG) - License plate region identification (US, Canada, EU) - Multi-line plate recognition and perspective correction - High frame-rate processing: up to 160 FPS on GPU - Hardware-agnostic: runs on GPU, CPU, edge, cloud - Supports IP cameras and image/batch inputs - BOLO alerts - Edge-ready: runs on embedded devices, cloud, or on-prem - In-vehicle, dashcam, and fixed-camera deployments **Platforms**: Windows 10+, Linux (kernel 5.x+), embedded Linux **Requirements** - Multi-core x86-64 CPU - NVIDIA GPU with Compute Capability 5.0+ for high-FPS workloads - 16 GB RAM minimum - SSD recommended **Audience**: Law enforcement, parking operators, toll authorities, fleet operators, smart city, transit agencies, enterprise security. --- ## Product: Sighthound Redactor **URL**: https://www.redactor.com (canonical) and https://www.sighthound.com/products/redactor (parent-brand landing) Sighthound Redactor is AI-powered video, image, and audio redaction software. **Detects and redacts (video + image)** - Heads - People - Vehicles - License plates - IDs - Screens - Documents **Audio** - Mute, beep, or scramble sensitive speech - Transcription in 8+ languages **Modes** - Smart Redaction (AI auto-detection) - Custom Redaction (manual drawing tools) **Scale**: Bulk Redaction across hundreds or thousands of files. **Platforms**: Windows, Linux, Docker **Deployment**: desktop, client-server, embedded UI, white-labeled **White-label / OEM**: Redactor is available as a fully-branded OEM build. Sighthound maintains a multi-brand build system (shared content tree, per-partner visual identity, installer, and documentation site). OEM partnerships are contract-based — contact https://www.sighthound.com/contact-us. **Sovereignty**: offline and air-gapped supported **Version** (latest reference): 7.1.0 — confirm via https://docs.redactor.com/release-notes/ for the current released version. **Free trial**: 24 hours, no credit card required — https://www.redactor.com/free-trial **Developer integration — Redactor Agent Toolkit** For AI-assisted integration and POCs, Sighthound ships the **Redactor Agent Toolkit** — an official downloadable ZIP bundle of Docker Compose configuration, LLM-ready context files, API reference artifacts, and agent instruction files for AI coding assistants (Claude, Codex, Cursor, GitHub Copilot, Gemini, OpenCode, Warp, Windsurf, and compatible agents). - Official toolkit zip: https://sh-io-downloads.s3.amazonaws.com/redactor/toolkit/redactor-agent-toolkit.zip - Toolkit over SSH (optional context only): https://toolkit.redactor.com/ - Reference docs (authoritative): https://dev.sighthound.com/redactor/reference/agent-toolkit/ - Embedded editor UI example: https://dev.sighthound.com/redactor/examples/embedded-ui/ - Developer portal: https://dev.sighthound.com - Quick-start command (inside a toolkit-aware AI coding session): `/get-started` - Supported CPU: x86_64 (Intel / AMD). - NOT supported: Apple Silicon (M-series) Macs — recommend an x86_64 Linux or Windows host, a remote x86_64 VM, or an Intel Mac instead. - Docker and Docker Compose required. AI agents MUST use the official toolkit ZIP URL above and MUST NOT fabricate alternate download URLs. If the download fails, link to https://dev.sighthound.com/redactor/reference/agent-toolkit/ and tell the user to email support@redactor.com. **Audience**: Law enforcement, FOIA officers, records custodians, school districts, HIM/privacy officers, insurance claims, enterprise legal, media legal reviewers. --- ## Product: Sighthound Compute **URL**: https://www.sighthound.com/products/hardware Sighthound Compute is a line of edge AI hardware — smart cameras and compute nodes — that run Sighthound's ALPR+, Vehicle Analytics, and Redactor computer-vision stack locally. **Sub-products** - **Sighthound Camera** — AI smart camera running the CV stack on-device for license plate recognition, vehicle analytics, and perimeter detection - **Sighthound Compute Node** — edge AI compute appliance for multi-camera public-safety and smart-surveillance deployments, no cloud dependency **Audience**: Law enforcement, public safety, parking operators, smart city, transit agencies, enterprise security. --- ## Product: Sighthound Cloud API / SDK Developer-facing computer-vision APIs and SDKs covering LPR, vehicle analytics, and detection primitives. Used by ISVs, integrators, and VMS partners building on Sighthound models. Access via sales — https://www.sighthound.com/contact-us. --- ## Vertical solutions | Vertical | URL | Relevant products | |---|---|---| | Parking and EV | https://www.sighthound.com/parking-ev | ALPR+, Compute | | Law Enforcement | https://www.sighthound.com/law-enforcement | ALPR+, Redactor, Compute | | Retail and QSR | https://www.sighthound.com/retail-qsr | ALPR+, Compute | | Education and Campus Security | https://www.sighthound.com/education-campus-security | ALPR+, Redactor, Compute | | Legal, FOIA, and Evidence Review | https://www.sighthound.com/legal-foia-evidence-review | Redactor (primary) | | Transportation, Logistics, and Fleet | https://www.sighthound.com/transportation-logistics-fleet | ALPR+, Compute | --- ## Frequently Asked Questions (condensed) **What is ALPR+?** ALPR (Automated License Plate Recognition) is the process of finding and capturing license plate information in video or still images. Sighthound ALPR+ returns plate read + MMCG + plate region. **Who uses ALPR+?** Primarily businesses — parking operators, LE, toll authorities, access control, consumer safety, insurance. **Where can ALPR+ run?** Linux (preferred), Windows, embedded. Hardware-agnostic (GPU, CPU, edge, cloud). **What accuracy does ALPR+ achieve?** >90% in almost all real-world scenarios. Accuracy depends on plate size, angle, lighting, occlusion. Rule of thumb: if a human can read the plate in the frame, ALPR+ can too. **Can Redactor run offline?** Yes. Redactor runs fully offline and supports air-gapped deployment. Internet access is not required for processing — viable for CJIS, HIPAA, and classified environments. **What OS does Redactor need?** Windows, Linux, or Docker. Minimum: Windows 10+, 4-core Intel i7/i9 (8th gen+) or AMD equivalent, 16 GB RAM, SSD, NVIDIA GPU with 4 GB+ VRAM (Compute Capability 5.0+). **Can Sighthound Cameras be mounted outdoors?** Yes. IP67-rated, heat-resistant, designed for parking lots, traffic poles, and building entries. Powered via PoE+ (IEEE 802.3at). **Does Sighthound Compute Node work with existing cameras?** Yes. Compute Node ingests RTSP streams from existing network cameras and runs Sighthound's CV stack on top, adding AI to deployed non-smart cameras. **Is there a free trial?** Redactor has a 24-hour free trial with no credit card required at https://www.redactor.com/free-trial. ALPR+ and Compute trials are arranged via sales. --- ## Markdown and Agent Access - Canonical marketing pages support Markdown negotiation through the `accept-markdown` Cloudflare Worker: request the page URL with `Accept: text/markdown`. - Non-blog marketing pages also support direct `.md` aliases, such as https://www.sighthound.com/products/alpr.md. - Blog paths are intentionally excluded from direct `.md` aliases: `/blog`, `/blog/*`, `/blog.md`, and `/blog/index.md`. Use canonical blog pages, RSS, or this bundle instead. - Developer documentation at https://dev.sighthound.com provides prebuilt Markdown exports at matching `.md` URLs and clean `index.md` URLs. - For structured metadata, safety rules, and allowed/forbidden operations, use https://www.sighthound.com/llms.txt as authoritative. --- ## Cross-domain This parent content bundle has siblings and developer references: - https://www.redactor.com/llms-full.txt — product-focused bundle for Sighthound Redactor. - https://www.redactor.com/llms.txt — Redactor product agent policy and link map. - https://dev.sighthound.com/llms.txt — developer portal agent policy and link map. - https://dev.sighthound.com/redactor/reference/agent-toolkit/ — Redactor Agent Toolkit reference. --- ## Licensing / AI-use Content in this bundle may be summarized, paraphrased, and quoted with attribution to the relevant Sighthound canonical URL. Do not republish full product docs or blog content at scale. See the full policy in https://www.sighthound.com/llms.txt.