Purpose-built software systems tailored to the unique regulatory, scalability, and operational demands of your sector.
HIPAA-compliant telemedicine platforms, Electronic Health Records (EHR) integration, and AI-driven diagnostic tools.
View Case StudyPCI-DSS compliant payment gateways, blockchain ledger systems, and high-frequency trading algorithm deployment.
View Case StudyOmnichannel POS systems, AI-driven inventory forecasting, and high-conversion enterprise storefronts.
View Case StudyScalable Learning Management Systems (LMS), virtual classroom infrastructure, and student analytics dashboards.
View Case StudyIoT integration for real-time equipment monitoring, automated quality control, and supply chain ERP systems.
View Case StudyRoute optimization algorithms, real-time fleet tracking interfaces, and warehouse management software (WMS).
View Case StudyProperty management portals, AR/VR virtual tour integrations, and tenant background screening APIs.
View Case StudyHighly secure citizen portals, legacy database migration, and cloud-native infrastructure for public services.
View Case StudyReal-world examples of how we've transformed operations and scaled businesses across industries.
Client: Multi-site hospital group, 18 facilities
A fragmented patient care setup across 18 sites with no unified telehealth layer. Clinicians were using consumer video tools — a compliance exposure, a patient experience problem, and a billing nightmare.
AlgoHub built an end-to-end HIPAA-compliant telemedicine platform with encrypted video, BAA-covered infrastructure on AWS GovCloud, and role-based access across provider, patient, and admin personas. We integrated with Epic EHR via HL7 FHIR R4 APIs so appointments, notes, and prescriptions sync automatically, eliminating dual-entry. An AI triage module (NLP symptom parser) routes patients to the right care level before a clinician joins, cutting consult prep time by 34%. Automated CPT code suggestion from consult transcripts reduced billing team workload by 60%.
Client: Mid-market FinTech, $2.4B annual transaction volume
A fast-growing payments company had failed two PCI audits, couldn't scale beyond 800 TPS, and had latency spikes in their HFT system that were quietly eroding P&L every trading day.
AlgoHub re-architected the payment gateway on PCI-DSS Level 1 certified infrastructure with tokenisation, point-to-point encryption, and a dedicated cardholder data environment isolated via microsegmentation. A permissioned blockchain (Hyperledger Fabric) handles tamper-proof transaction audit logs. The HFT execution engine was rebuilt in C++ with kernel-bypass networking, slashing median order latency from 4.2ms to 180μs. An ML fraud scoring model runs inline at under 2ms, flagging suspicious transactions before settlement.
Client: National retail chain, 240 stores + D2C webstore
Siloed POS systems across 240 stores with zero inventory visibility between channels. Stockouts were costing an estimated $8M annually. Overstock tied up $12M in working capital. The online storefront was converting at 0.9%.
AlgoHub deployed a unified omnichannel POS layer connecting in-store, online, and mobile channels into a single real-time inventory ledger across all 240 locations. An AI demand forecasting engine (LSTM + XGBoost ensemble) trained on five years of SKU-level sales, weather, and local event data generates weekly reorder recommendations per store. The D2C storefront was rebuilt on a headless commerce architecture with personalised product ranking, producing a 2.6× conversion lift. A dynamic pricing engine adjusts margins based on competitor signals and live stock levels.
Client: National online university, 180,000 enrolled students
A legacy Moodle-based LMS was collapsing under load during exam periods. Course completion rates sat at 41%. Instructors had no signal on which content was failing students until end-of-term evaluations — too late to intervene.
AlgoHub re-platformed the LMS on a microservices architecture auto-scaling on Kubernetes, sustaining 50,000 concurrent users through exam windows without degradation. A virtual classroom layer was built with breakout rooms, collaborative whiteboards, and auto-transcribed session recordings. An adaptive learning engine adjusts quiz difficulty and content sequencing per student based on live performance signals. A student analytics dashboard surfaces at-risk learners three weeks before likely drop-off, giving instructors specific intervention prompts.
Client: Automotive parts manufacturer, 6 production facilities
Unplanned equipment downtime was costing $2.1M per quarter. Quality inspectors were manually reviewing 100% of output — slow, inconsistent, and still missing roughly 3.8% of defects. ERP data was running 48 hours stale.
AlgoHub deployed 1,400 IoT sensors across CNC machines, conveyor systems, and HVAC, feeding a real-time telemetry pipeline with sub-second latency into InfluxDB. Predictive maintenance models trained on three years of sensor history now predict bearing failures 72–96 hours in advance with 91% precision. A computer vision system (YOLOv8 fine-tuned on defect classes) replaced manual QC on production lines, catching 99.1% of defects at 120 units per minute. Real-time shop floor data was integrated into SAP ERP via custom middleware, eliminating the 48-hour lag.
Client: 3PL provider, 2,300-vehicle fleet, 14 warehouse sites
No real-time fleet visibility. Route planning done in spreadsheets. Warehouse pick accuracy at 94.2%, generating thousands of returns monthly. Dispatchers had no reliable ETAs to give clients.
AlgoHub built a live fleet tracking platform ingesting GPS telemetry from 2,300 vehicles at 30-second intervals, with a dispatcher map showing vehicle status, ETA, and deviation alerts in real time. A route optimisation engine handling multi-stop, time-windowed deliveries reduced average route distance by 19%. A custom WMS with barcode/RFID scan flows and directed-put-away logic lifted pick accuracy to 99.7%. A client-facing delivery tracking portal with live ETAs and proactive exception notifications cut inbound client support calls by 54%.
Client: PropTech platform, 85,000 rental units under management
Eighty-five thousand rental units managed through spreadsheets, legacy software, and manual tenant screening calls. Virtual showings done over generic video calls were unconvincing. Bad tenant placements were costing landlords an average of $4,200 per eviction.
AlgoHub built a unified property management portal for landlords (maintenance, rent collection, lease management, financials) and tenants (payments, requests, communications) on one platform. A 3D AR virtual tour capability lets tenants walk through photo-realistic property models from any browser — no app install. A multi-bureau tenant screening pipeline via TransUnion and Plaid APIs delivers a full credit, criminal, eviction, and income verification report in under four minutes with an AI-generated risk score. Automated lease generation with digital signature and ACH rent collection reduced admin time per property by six hours per month.
Client: Provincial government agency, 4.2M citizens
Fourteen citizen-facing services running across disconnected legacy systems — some on infrastructure from 1998. Citizens averaged 3.4 in-person visits to complete a single request. A recent audit had flagged the infrastructure as a serious cybersecurity liability.
AlgoHub designed a unified citizen portal consolidating all 14 services under a single authenticated identity layer with MFA, accessible via web and mobile, meeting WCAG 2.1 AA accessibility standards. A zero-downtime migration moved 4.2M citizen records from legacy COBOL/Oracle systems to a cloud-native PostgreSQL cluster on GovCloud with full audit trail and rollback capability. A SIEM-integrated security posture with SOC 2 Type II controls, intrusion detection, and automated vulnerability scanning replaced the legacy security model. Serverless event-driven architecture handles spikes during tax season and licence renewals without manual capacity planning.