Fleet management software built around your dispatch workflow — not a Samsara subscription you've outgrown.
Madgeek builds fleet management software — vehicle tracking platforms, dispatch automation systems, driver management portals, maintenance scheduling, compliance and HOS reporting, and AI-powered route and cost optimisation — for logistics companies, field service operators, and transportation businesses in the US, UK, and Canada. Custom-built for your fleet model. AI included. 8+ years enterprise software, 50+ systems shipped.
Building enterprise software since 2017
Enterprise systems shipped across regulated industries
Production AI systems deployed in operations
Clutch rating from verified reviews
Off-the-shelf fleet platforms stop working when your operation gets complex.
Samsara, Verizon Connect, and Geotab cover the basics: GPS tracking, basic compliance logging, fuel reporting. They work well for fleets that run straightforward point-to-point operations. When your dispatch involves multi-stop dynamic routing, mixed asset types, contract-specific billing rules, or integration with customer portals, the platform runs out of configurability fast.
Compliance is the highest-cost area to get wrong. FMCSA Hours of Service, ELD mandate compliance, IFTA fuel tax reporting, DVIR requirements — each has specific data capture and reporting obligations. Platforms that weren't built with your specific fleet types and regulatory requirements in mind generate compliance gaps that surface in audits.
The real cost is in the operational data that platforms don't capture well. Driver behaviour scoring, predictive maintenance triggers, route profitability analysis, customer SLA tracking — this data exists in your fleet, but it's fragmented across the GPS platform, your TMS, your accounting system, and driver apps that don't talk to each other. Decisions that should be data-driven are made on gut feel.
Custom fleet software solves the integration problem by design. When the tracking system, dispatch workflow, driver portal, maintenance records, and billing data live in a single data model, the analytics are real — not dashboards assembled from four exports.
Running a fleet operation that's outgrown your current platform? Let's talk about what a purpose-built system looks like.
Book a 30-minute callFleet management software built on your operational data — not a platform's data model.
We start with your fleet composition, your dispatch model, and your compliance requirements. Mixed fleets (HGVs, vans, specialised equipment), multi-region operations, and contract-specific reporting rules are handled in the data model from day one — not worked around in configuration.
AI is included. Route optimisation that accounts for traffic, driver HOS remaining, vehicle load capacity, and delivery windows. Predictive maintenance triggers from telematics data. Driver behaviour scoring with coaching prompts. Fuel cost analytics with anomaly detection. Every AI feature is production-grade — not a dashboard add-on.
Senior engineers in India with a US office in Irvine, California. We've built operations platforms for companies managing 50 to 500+ assets — including the AI call quality system deployed across 50+ contact centre agents. Fleet operations management is the same class of problem: real-time data, complex rules, production AI.
What we build for fleet operations.
We build for operations that run on real-time data and complex rules. Fleet management is the same engineering challenge.
Multi-role access control, real-time data processing, complex business rules, integration with legacy systems, production AI — these are the engineering problems we've solved across regulated industries for 8+ years.
AI in production operations: 50 to 80+ agents in 3 months
Situation: A growing operations team needed to scale quality assurance from 50 to 80+ agents without adding management headcount. Manual monitoring couldn't keep pace with growth, and quality consistency was slipping.
What we built: Custom AI-powered call quality monitoring with automated scoring, performance dashboards, and coaching workflows. The AI system processes every interaction, flags quality issues, and surfaces patterns — replacing manual review that would have required dedicated QA staff.
50 → 80+ agents scaled in 3 months
Tejas Networks: enterprise platform in a regulated environment
Situation: A publicly listed telecom equipment manufacturer ran multi-level purchase requisition approvals on paper forms. Physical sign-off at each tier. Finance and operations had no visibility into pending, approved, or blocked requests. Strict compliance requirements for audit trails and access control.
What we built: We built a purchase requisition platform with role-based approval chains, configurable escalation rules, real-time dashboards, and full audit trail on every transaction. Compliance-grade access control with department-level permissions and multi-tier approval workflows.
90% reduction in paper-based approvals
Manufacturing ERP: complex rules, real-time cost tracking, full audit trails
Situation: A manufacturer needed a custom ERP to handle non-standard cost estimation, procurement workflows, and production scheduling. Off-the-shelf ERP systems couldn't model their pricing rules or approval hierarchies.
What we built: Purpose-built ERP with configurable business rules, multi-level approval chains, real-time cost tracking, and full audit logging. Every calculation traceable. Every approval recorded. Integration with existing accounting and inventory systems.
Complex business rules + full audit trails
What we build for fleet and logistics operations.
Every fleet engagement is different. Here's the range of what we build — configured to your fleet composition, dispatch model, compliance requirements, and reporting needs.
Real-time vehicle tracking, geo-fence alerts, sensor data collection, and asset utilisation analytics. Integrates with existing GPS hardware or new telematics devices. Built for your asset types — not a generic vehicle template.
Dynamic routing with live traffic, driver availability, vehicle capacity, and delivery window constraints. Multi-stop optimisation at scale. Integrates with your customer-facing order management and proof-of-delivery workflow.
FMCSA ELD and HOS compliance, DVIR digital inspection records, IFTA fuel tax reporting, and DOT audit documentation. Compliance is tracked continuously — not assembled at audit time.
Driver behaviour scoring, predictive maintenance modelling, fuel cost anomaly detection, route profitability analysis, and SLA performance tracking. Built on your operational data, not platform exports.
Three concerns fleet operators raise.
"We already have Samsara/Geotab for GPS. Do we need to replace it?"
Not necessarily. We can build on top of your existing GPS platform by consuming its data via API. The custom layer handles the complex dispatch logic, compliance reporting, customer portal, and analytics that the platform doesn't support well. Your GPS hardware investment stays. The operational intelligence layer is built around it.
"Our fleet has mixed asset types — trucks, vans, and specialist equipment. Can the system handle that?"
Yes. Mixed fleet types are handled at the data model level — each asset type has its own configuration for compliance requirements, maintenance schedules, load capacity, and telematics data. The dispatch and routing logic applies rules appropriate for the asset assigned to the route. Multi-fleet management is a design choice, not a configuration workaround.
"FMCSA compliance is critical for us — can you build ELD-compliant logging?"
Yes. FMCSA-compliant ELD logging captures the required data fields (driving time, on-duty not driving, sleeper berth, off-duty, yard moves, personal conveyance) in the format required for roadside inspection. The HOS violation logic applies the correct ruleset for each driver type (property, passenger, short-haul exemption). Audit export produces the standard data transfer file format. We build to the current ELD mandate technical standard.
How fleet management engagements work.
Every engagement follows the same structure — with compliance requirements mapped before we write a line of code.
Enterprise systems we've shipped.
Production platforms for operations, compliance, and enterprise workflows — built and maintained long-term.
AI Call Center Software for Quality Monitoring
Enterprise client
A contact centre operation was scaling rapidly but had no automated way to monitor agent call quality at volume. Madgeek built custom AI call center software that scored agent calls against domain-specific criteria, surfaced coaching opportunities, and tracked performance trends in real time. The result: the operations team scaled from 50 to 80+ agents in 3 months without adding QA headcount.
agents scaled in 3 months
Custom Purchase Requisition Software for Enterprise
Tejas Networks Ltd.
A publicly listed telecommunications manufacturer was running procurement entirely on paper forms and manual approval chains. Madgeek built custom purchase requisition software with automated approval routing, purchase order generation, real-time inventory tracking, and document management. The result was a 90% reduction in paper-based approvals and full visibility across the procurement lifecycle.
reduction in paper-based approvals
Call Center SaaS Platform — ODC Partnership
Lead Tact
Lead Tact, a US-based call center SaaS company, needed a dedicated engineering team to build their platform from scratch — not a one-time vendor build, but an ongoing ODC partnership. Madgeek's dedicated team built and maintains the full product: dynamic call scripts, automated QA monitoring, real-time client portals, analytics dashboards, and lead management workflows. The same engineers from month one are still on the product, shipping features on Lead Tact's sprint cadence.
reduction in admin time for call center operations
Common questions about fleet management software development.
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Start with an operational audit — not a feature list.
We map your current fleet data landscape and compliance requirements before we scope anything. Discovery calls are 30 minutes. Proposals arrive within 5 business days.
Book a discovery call