What is confirmed
The engagement itself and the bounded technical narrative drawn from The Algorithm’s delivery history.
Leadership-confirmed delivery history
Real engagements. Technical context without invented precision.
The Algorithm leadership confirms these engagements as company history. Client identities remain generalized, and exact metrics, timelines, quotations, and audit outcomes are published only after the corresponding fact and publication authority are confirmed.
What remains controlled
Exact measurements, durations, client sentiment, audit results, certifications, commercial terms, and identifying details.
Healthcare
Recovering a Stalled Multi-Facility EHR Program
Regional hospital system in the American Midwest. A mix of acute care hospitals, outpatient surgical centers, and affiliated physician practices running on fragmented systems that didn't talk to each other. Patient records lived in four different platforms. Nurses spent more time navigating software than treating patients.
Modernizing a Legacy Hospital EHR Through Parallel Operation
A confidential healthcare organization engaged The Algorithm around ehr, migration, hipaa. Client identity, location detail, scale, and commercial terms remain withheld. The system worked, but it was a ticking regulatory time bomb.
Unifying Clinical Operations Across a Multi-Specialty Network
A multi-specialty clinic network across three states. Twenty-three locations spanning orthopedics, neurology, cardiovascular, primary care, and allergy. Each specialty had its own scheduling system, its own patient portal, and its own documentation workflow. The network had grown through acquisition and every acquired practice brought its own technology stack.
Engineering Accountable AI for Opioid Prescribing Support
A pain management practice network operating across multiple states in an opioid crisis corridor. Their physicians were caught between two pressures: patients in legitimate pain who needed treatment, and a regulatory environment that increasingly scrutinized every opioid prescription. The practice wanted a system that would support clinical decision-making — not replace it, but inform it with data that neither the patient history nor the physician's intuition alone could provide.
Building a Privacy-Aware Behavioral Therapy Platform
A behavioral therapy startup founded by a clinical psychologist with two decades of experience working with neurodivergent youth. She had developed a therapeutic methodology for building social-emotional skills — structured, evidence-based, designed for learners with autism spectrum disorder, ADHD, and intellectual disabilities. She needed it to work digitally — as an interactive platform that therapists, parents, and special educators could use with their learners.
Rebuilding Hospital Revenue-Cycle Workflows
Small-to-medium sized hospital system in the southern US. Operating at a loss — like the majority of hospitals in their size category. Revenue cycle was bleeding money: charge capture gaps, coding errors, denied claims sitting unworked, and an EMR system that created more administrative burden than clinical value.
Automating Primary-Care Workflows Without Removing Clinical Control
A confidential healthcare organization engaged The Algorithm around ai, hipaa, healthcare. Client identity, location detail, scale, and commercial terms remain withheld.
Federated Population-Health Analytics Across Hospital Boundaries
A five-hospital academic health system. They wanted population health analytics — disease prevalence patterns, readmission risk prediction, resource utilization optimization — across their entire patient population. The problem: their data governance committee wouldn't approve any architecture that moved identifiable patient data outside the hospital's on-premise data centers.
Engineering a Remote Cardiac-Monitoring Platform
They had a growing population of patients with implanted cardiac devices generating continuous monitoring data. Each device manufacturer provided their own siloed monitoring portal. A single cardiologist might need to check three different portals to review all their patients' device data.
Building a Scalable Revenue-Cycle Intelligence Platform
They had the domain expertise — former hospital CFOs, revenue cycle directors, charge capture specialists — but their technology was a patchwork of Excel models, manual data pulls from client EMRs, and quarterly reports that told hospitals what they already knew: they were losing money.
Financial Services
Building a Security-Conscious Personal-Finance Application
A fintech startup with a clear vision: a personal finance management app that helped everyday consumers understand their money without the complexity of tools designed for financial advisors.
Engineering an End-to-End Digital Mortgage Workflow
A confidential financial services organization engaged The Algorithm around fintech, finance, compliance. Client identity, location detail, scale, and commercial terms remain withheld. The borrower experience was so poor that their NPS score was negative.
Integrating Underwriting Automation With Regulatory Reporting
Their compliance team was manually reviewing every loan file, manually generating HMDA and CRA reports, and manually checking state-specific regulations.
Oil & Gas
Applying Machine Learning to Drill-Site Evaluation
A mid-size exploration and production company operating across the Permian Basin in West Texas. Dozens of active wells, hundreds of potential drill sites. Their geologists were evaluating sites using seismic data, well logs, production history, and professional judgment. Good results — but expensive judgment calls.
Securing Document Exchange Across Oil and Gas Partnerships
An oil and gas operating company managing joint venture partnerships with multiple investment entities. Partnership agreements, land records, revenue distribution statements, drilling reports — thousands of documents flowing between partners with different security requirements. Others were family offices operating on email and spreadsheets.
Designing a CRM Around Oilfield-Service Operations
An oilfield services company providing drilling, completion, and production services across Texas, Oklahoma, and New Mexico. They had been using Salesforce — configured by a generalist partner — to manage client relationships, bids, and service delivery. Salesforce was built for B2B sales, not for tracking multi-stage drilling operations with well-level granularity.
Turning Historical Operations Data Into Pipeline-Integrity Signals
Aging infrastructure, increasing regulatory pressure on pipeline integrity, and a monitoring system that was essentially manual — field technicians driving routes and checking gauges.
Cybersecurity
Engineering a Real-Time Threat-Analysis Engine
A cybersecurity firm serving mid-market enterprises — companies too large to ignore security and too small to build a full SOC internally. They offered managed detection and response (MDR) but their analysis engine was falling behind. Their detection pipeline hadn't scaled with it.
Making Global Attack Telemetry Operationally Legible
A cybersecurity company that needed a live visualization of actual attack traffic their sensors were observing across their client base and honeypot infrastructure. The visualization had two audiences: their SOC analysts needed it as an operational tool, and their sales team needed it as a demonstration of capability.
Connecting Security Alerts to Accountable Resolution Workflows
They had assembled their SOC from best-of-breed point tools — a SIEM, a ticketing system, a threat intel platform, an EDR console, a vulnerability scanner — none of which talked to each other. Analysts spent more time switching between tools and copy-pasting data than actually analyzing threats.
Construction
Building a CRM Around General-Contractor Workflows
They had invested in Salesforce with a construction 'overlay' from a consulting partner. The overlay added some construction terminology but fundamentally it was still a B2B sales CRM trying to pretend it understood construction project management.
Making Construction Cost and Schedule Data Actionable
A confidential construction organization engaged The Algorithm around construction, analytics, real-time. Client identity, location detail, scale, and commercial terms remain withheld.
Unifying Subcontractor Bidding, Compliance, and Payment Workflows
A confidential construction organization engaged The Algorithm around construction, compliance, vendor-management. Client identity, location detail, scale, and commercial terms remain withheld.
Outdoor Recreation
Combining Field Data, Identification, and Regulation in a Fishing Platform
Alaska's sportfishing industry operates in one of the most data-rich and regulation-heavy environments in outdoor recreation. Salmon runs are tracked by state sonar stations publishing daily escapement counts. Regulations change in real time through Emergency Orders — a river can open for bait fishing at 6am and close for king salmon retention by noon. All of this data existed — scattered across ADF&G websites, NOAA buoy feeds, USGS river gauges, FAA weather cameras, and paper regulation booklets that disintegrated in the rain.
Coordinating Seasonal Operations Across Tourism Properties
A tourism operator managing multiple properties across a popular US destination region — lodges, guided tours, equipment rentals, and seasonal staff across locations that each had their own booking systems, their own pricing, and their own scheduling.
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