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Automate everything with Infrastructure as Code for consistency and control

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Build secure, observable environments that prevent issues before they surface

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Optimize cloud spend while maintaining performance at scale

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Deploy without downtime and scale effortlessly as demand grows

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Automating Property Inspections: From Video to Report in Minutes

Automating Property Inspections: From Video to Report in Minutes

Property inspections produce slow, inconsistent reports that delay insurance claims, real estate transactions, and maintenance scheduling. Manual observation-to-documentation workflows don't scale with growing portfolios. Red Buffer built an AI platform that converts raw inspection video into structured, cost-estimated reports automatically and in minutes.
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Digitizing Property Tax Collection with Satellite-Based Computer Vision

Digitizing Property Tax Collection with Satellite-Based Computer Vision

Governments can't tax properties they don't know exist. Manual surveys miss buildings, field workflows rely on paper, and supervisors lack real-time visibility. Red Buffer built an AI system that detects properties from satellite imagery, assigns them to field officers automatically, and tracks collection progress in real time.
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Reducing Contract Review Time by 60–70% with NLP-Driven Analysis

Reducing Contract Review Time by 60–70% with NLP-Driven Analysis

Contract analysis is a bottleneck in every enterprise. Manual review averages hours per document, and different reviewers reach different conclusions from the same text. Red Buffer built an NLP platform that ingests contracts, extracts clauses and terms automatically, and routes structured data through a human-validated review workflow.
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Reducing Enterprise Cloud Costs by 25% with AI-Driven Forecasting and Anomaly Detection

Reducing Enterprise Cloud Costs by 25% with AI-Driven Forecasting and Anomaly Detection

Enterprise cloud spending grows faster than most organizations can track. Cost spikes go undetected until the monthly bill arrives, and inconsistent resource tagging makes team-level attribution impossible. Red Buffer built the AI/ML core of a platform that forecasts spend, catches anomalies in real time, and auto-tags resources across AWS, Azure, and GCP.
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Cutting Safety Content Creation from Weeks to Hours with RAG-Powered Automation

Cutting Safety Content Creation from Weeks to Hours with RAG-Powered Automation

Safety-critical industries maintain extensive libraries of checklists, instructional content, and visual guidelines all requiring constant updates for regulatory compliance. Manual creation takes weeks per deliverable. Red Buffer built a RAG-powered platform that generates, manages, and visually illustrates safety content automatically.
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Reducing ML Model Deployment from Days to Minutes with Automated MLOps

Reducing ML Model Deployment from Days to Minutes with Automated MLOps

Teams that train models in hours often spend days deploying them. Containerization, API generation, GPU allocation, and monitoring create friction that slows every release. Red Buffer built an automated MLOps platform that takes any ML model - pre-trained or custom from upload to production-ready API in minutes.
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