Real Projects. Measurable Outcomes.
Production engagements across FinTech, HealthTech, and Manufacturing. From agentic AI systems to legacy platform modernization, see the work behind the results.
The portfolio covers agentic AI development, application modernization, product engineering, and manufacturing software. Every engagement listed is a production delivery, not a pilot.
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Agentic AI for Investment Intelligence at Enterprise Scale
A US enterprise was manually evaluating thousands of cross-border investment prospects across fragmented data sources, losing actionability and consistency at scale. AnAr built an agentic AI platform with RAG-powered intelligence, real-time Moody's Analytics sync, and AI-generated personalized outreach emails, making billions in high-value investments actionable for consultants across global markets.
The Virtual Captive Team That Still Has Engineers From Year One
A UK-based FinTech company building AI and analytics software wanted a say in who joined its engineering team, and people who would still know its systems years later. AnAr recruits the people and keeps them on the account; the client's own technical leadership directs the work. Eight years on, some of the engineers who started it are still on it.
Cloud Operations for a US Software Product Company
Running and securing a cloud is full-time work that competes with building the product. AnAr operates a US-based software product company's cloud across Azure and AWS as an embedded part of their engineering team, with the entire estate defined in Terraform, shipped through automated CI/CD multiple times a week, watched through unified observability across both clouds, and operated to the technical controls the client's SOC compliance depends on.
Agentic AI for Tax Document Intelligence
An agentic AI application built for tax data gathering, with document processing at its core. Specialized agents handle document ingestion, extraction, and validation in parallel using Azure-hosted AI models. Salesforce integration connects extracted tax data directly into existing workflows, with an AI chat interface for on-demand query and review across processed documents.
The Dedicated Team That Hasn't Lost a Key Person in Four Years
A global supply chain technology company needed a dedicated team for two specialized Blue Yonder practices, staffed with specialists who already knew the systems, not generalists learning on the job. AnAr recruits, onboards, and retains that team as complete pods, each with its own team lead, working across Blue Yonder Billing Management and Blue Yonder Dispatcher WMS for logistics operators including one of the world's largest logistics and express delivery companies.
Delivery Platform and Apps for a Global QSR Brand
A global quick-service restaurant brand's India business runs its delivery platform and customer apps on engineering AnAr supplies. A product engineering team builds and extends the platform, the apps and the web properties. A DevOps team runs the deployment and infrastructure side, working alongside the client's own in-house tech team.
340B Drug Pricing Compliance Platform
A US healthcare company needed to manage complex 340B federal drug pricing data in real time while staying ahead of constantly changing regulations. AnAr built a data management platform with compliance dashboards, automated regulatory update workflows, and drug purchasing savings tracking, reducing administrative burden and minimizing penalty risk.
Cloud Modernization for a Global German Manufacturer
A German manufacturing leader's legacy Windows ERP system lacked the scalability and integration required for operations across multiple international offices. AnAr delivered a cloud-native rebuild on Angular, .NET Core 6.0, and Azure DevOps with full SAP ERP integration, multilingual support, and advanced analytics for global reporting.
In-Home Senior Care App for a US HealthTech Company
A US HealthTech company needed a product for caregivers delivering senior care in patients' homes, replacing paper notes, spreadsheets, and a separate scheduler. AnAr built the app: patient notes, patient records, and visit scheduling in one place, designed for use in the field rather than at a desk.
AI-Driven Insurance Claims Processing
Manual claims review processes were creating bottlenecks, delays, and inconsistencies across the insurance workflow. AnAr built an AI solution that automated claims processing steps, reduced manual review time, and simplified the full claims workflow for faster and more consistent outcomes.
Legacy Healthcare System Modernization for Substance Abuse Treatment Clinics
Methadone treatment clinics were running on a legacy VB.NET system with compliance gaps, poor scalability, and a user experience that drove staff resistance. AnAr rebuilt the stack to ASP.NET/C# with HL7 integration, HIPAA-compliant data restructuring, and redesigned intake, assessment, and claims processing modules.
NMLS Mortgage Platform Modernization
A US-based NMLS-approved mortgage education portal was constrained by a legacy codebase that could not scale and was difficult to maintain under active regulatory requirements. AnAr took over development and modernized the stack to .NET Core, Angular 11, and Azure, achieving 99% uptime and a 100% improvement in page response time.
Fertility Healthcare SaaS: From Silverlight to AWS
A fertility healthcare SaaS provider built on Microsoft Silverlight was losing users as browser support ended and competitors launched modern interfaces. AnAr delivered a phased migration to Angular 16, .NET Core, and AWS, restoring browser independence and the competitive positioning the platform needed to retain and grow its market.
Precision Sensor Upgrade for Concrete Logistics SaaS
A construction SaaS provider's camera-based IoT system for concrete mixer trucks was generating measurement errors that caused billing disputes and eroded customer trust. AnAr replaced it with Hall Effect sensors and Water Flow Meters on Raspberry Pi 4, eliminating measurement inaccuracies and restoring billing-level precision at scale.
Multi-Tenant SaaS for Senior Care Centers
Senior care centers were managing admissions, billing, scheduling, and patient records across disconnected manual processes with no cross-facility visibility. AnAr built a HIPAA-compliant multi-tenant SaaS with automated workflows, real-time reporting, and secure data management, reducing administrative overhead across locations.
Voice AI Agent for Outbound Sales Outreach
An AI voice agent built for outbound sales outreach, handling initial contact, qualification, and follow-up at scale. The agent conducts natural conversations, adapts based on responses, and hands off qualified leads to the sales team, compressing the top of the sales funnel without adding headcount.
Integrated Wellness and e-Commerce Platform
A wellness platform needed to serve both nutritionists and fitness trainers while connecting health data from wearables and enabling product sales in a single system. AnAr built a multi-tenant SaaS with Apple Health, Google Fit, and Shopify integration, plus real-time personalized health tracking and nutrition management.
SaaS Portal for Patients and Medical Practitioners
Building a unified platform for both patients and medical practitioners meant working through data privacy demands, adoption friction, and complex feature requirements across multiple user roles. AnAr delivered a secure SaaS portal with doctor discovery, appointment booking, online prescription management, and a HIPAA-compliant file vault.
Common Questions
The questions prospects ask most often after looking through this work, answered directly.
Why don't these case studies name the clients?
Client confidentiality is part of how we work. Most engagements run under NDAs, and the products we build are often a client's competitive advantage, so we describe the industry, the scale, and the outcome rather than the name. The same discretion applies to your project. If you want to validate a specific result, we can arrange a reference conversation once we are in active discussions.
Do you take on full product builds, or can you embed engineers into our existing team?
Both. Some clients hand us a problem and we build the product from architecture through delivery. Others bring us in as an embedded part of their existing team, where our engineers work alongside theirs on every sprint and release. One insurance analytics client has run that embedded model with us for eight years. We shape the engagement around how your team already works.
Can you work in regulated or compliance-heavy environments?
Yes. A large share of our work is in regulated sectors: insurance and financial reporting requirements in FinTech, and healthcare data rules like HIPAA and HL7 in HealthTech. Compliance is built into the design from the start, not added at the end. We treat audit readiness, data handling, and access controls as engineering requirements, not paperwork.
Has AnAr built production AI applications, or just pilots?
Production. Our AI work runs in live client systems, not demos. Examples in this portfolio include a RAG-based investment intelligence platform processing 11,000+ prospects monthly, an insurance claims workflow automated with AI, and a multi-agent system for tax document processing built on Azure-hosted models with Salesforce integration. We also build AI directly into the development process on every project.
Who owns the code and intellectual property?
You do. Across every engagement model, the client owns the source code, the IP, and the deliverables in full. We sign that into the contract before work starts. When the engagement ends, everything we built goes with you, including documentation and knowledge transfer.
We've seen a case study close to our problem. What's the first step?
Tell us about the problem through our contact form. You will get a written reply from an engineer, not a sales rep, with an honest read on whether AI, modernization, or a custom build fits, and what it would take. That first scoping exchange is the start of the work, not a sales pitch.
Have a question we didn't cover? See our full FAQ.
Building Something Similar?
Describe the problem. We will tell you whether AI, modernization, or a custom build is the right path, and what it takes to get there.
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