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AI Systems
that fit your workflow, not the other way around.

Red Buffer builds production AI systems for information-heavy workflows across legal, insurance, healthcare, financial, field, and operational teams. We design around your sources, review steps, exceptions, approvals, outputs, integrations, and audit needs.

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Human-AI Hybrid Engineering

Need product engineering capacity? Red Buffer delivers senior-led software teams through a project-level AI delivery system.

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Built Around the Way Work Actually Moves

Red Buffer starts with the workflow: where information comes from, who reviews it, what decisions matter, where exceptions go, and what the output needs to be.

Then we design the AI system around that reality: your documents, data, users, approvals, integrations, edge cases, and audit requirements.

How We Build

2013

Operating Since

60+

Clients

150+

AI & software projects

50

Engineers

Built For Information-Heavy Work Across Industries.

Red Buffer has delivered AI and software systems for clients across North America and other international markets, including healthcare, insurance, legal, fintech, field operations, enterprise software, and operational automation.

What Red Buffer Builds

Production AI systems for workflows where information has to be extracted, reviewed, routed, trusted, and acted on.

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Insurance & Medical Review

Claims, medical records, clinical histories, and reviewer queues organized into summaries, classifications, predictions, and review workflows.

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Custom Agentic AI Solutions

Design and deploy customized AI systems that plan, act, and integrate with your tools and data. Outcomes: higher throughput, lower unit cost, and new capabilities that were previously uneconomic.

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Deal & Financial Operations

Diligence, revenue checks, investor reporting, royalty operations, monitoring, and exception review built around trusted financial context.

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Custom Agentic AI Solutions

Design and deploy customized AI systems that plan, act, and integrate with your tools and data. Outcomes: higher throughput, lower unit cost, and new capabilities that were previously uneconomic.

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AI Partner & Customer Onboarding

Intake, verification, compliance, approvals, EDI mapping, KYB checks, and operational handoff workflows.

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Inspection, Survey & Asset Intelligence

Photos, videos, GPS, satellite imagery, survey data, and mobile submissions turned into reports, maps, assignments, estimates, and decisions.

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AI-Native Engineering

Human-AI Hybrid Engineering.
Delivered as Software.

Red Buffer uses a project-level AI delivery system to carry specifications, decisions, tasks, reviews, tests, documentation, and project knowledge across the build.

Experienced engineers remain responsible for architecture, product judgment, code review, and production readiness.

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8 systems

Shipped in one 30-day delivery window, across six domains.

Read how we shipped eight production systems in thirty days →

How We Build

Start with the workflow. Design the system around it. Build and operate it in production.

Understand the Workflow

We map the sources, systems, people, review steps, exceptions, approvals, outputs, and constraints behind the work.

Design the System

We define what AI handles, what people review, how outputs are trusted, and where the system plugs into existing operations.

Build and Operate

We ship working software, monitor it in production, improve the workflow, and support the system as usage grows.

Case Studies

Selected examples of AI systems built around real workflows: document review, claims and medical records, onboarding, field inspection, customer operations, financial intelligence, and AI-native software delivery.

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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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Achieving 90% Accuracy in Insurance Claim Cost Prediction with AI-Driven Medical Records Analysis

Achieving 90% Accuracy in Insurance Claim Cost Prediction with AI-Driven Medical Records Analysis

Insurance claims assessment depends on reviewing complex medical records - a process that is manual, inconsistent, and slow. Different reviewers reach different conclusions from the same files. Red Buffer built an AI platform that automates extraction, classifies documents visually, and predicts claim costs with 90% accuracy.
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Automating EDI Mapping to Achieve 70% Faster Partner Onboarding

Automating EDI Mapping to Achieve 70% Faster Partner Onboarding

EDI onboarding requires manually mapping each new partner's data formats to internal systems, a process that takes weeks and must be repeated for every format variation. During M&As, heterogeneous systems multiply the problem. Red Buffer built an ML-driven platform that learns mapping patterns and automates transformations, cutting onboarding time by 70%.
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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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Accelerating Startup Evaluation from Weeks to Seconds with ML-Driven Venture Intelligence

Accelerating Startup Evaluation from Weeks to Seconds with ML-Driven Venture Intelligence

VCs evaluate hundreds of startups annually through manual, subjective processes that take weeks per deal and vary by analyst. The data to make it systematic exists, it just isn't synthesized. Red Buffer built an AI engine that aggregates multi-source data, scores startups with ML, and delivers structured evaluations in seconds.
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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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Start With One Workflow

Red Buffer builds production AI systems around the way work already moves: documents, data, decisions, review queues, approvals, integrations, and operational outputs.