Modulus Infosystems builds custom software and AI systems for startups and enterprises worldwide. AI-accelerated, deadline-committed, quality-obsessed.
Projects Delivered
Countries Served
Years of Engineering
On-Time Rate
We use AI where it genuinely accelerates delivery — code generation, test scaffolding, research — while keeping senior engineers in control of every architectural decision. The result is faster shipping without the fragility that comes from blindly trusting a model.
Every codebase we ship would pass review at a top product company. Typed, tested, documented, and reviewed. We hold ourselves to the standards our European and enterprise clients expect — because that is the only standard worth holding.
When we agree on a date, we plan backwards from it and protect it. Scope is negotiated openly, surprises are surfaced early, and the timeline you sign off on is the timeline you get. Our on-time rate is not an accident.
You work directly with the people writing the code — no account managers, no offshore handoffs. A small, senior team means every engineer understands the whole system and takes personal responsibility for what ships.
Based in Ahmedabad (IST), our working hours overlap 4–5 hours daily with Central European Time — enough for live standups, real-time collaboration, and same-day feedback loops. Outside overlap hours, our async-first workflow keeps momentum going so nothing waits until tomorrow.
Purpose-built for your workflow
02Modern stacks, built to scale
03Automated, reliable infrastructure
04Interfaces users enjoy
05Seamlessly connected systems
06Real automation, real results
07Knowledge-powered AI answers
We start by understanding the business problem, not just the feature list. Through focused discovery sessions we map your workflows, constraints, and success metrics so every line of code we write later has a clear reason to exist.
We design the system before we build it — data models, service boundaries, and the delivery roadmap. You see the plan, the tradeoffs, and the timeline in plain language before development begins.
We build in short, reviewable iterations with working software at the end of each one. AI accelerates the routine work; senior engineers own the decisions that matter. You see progress weekly, not at the end.
Quality is built in, not bolted on. Automated tests, code review, and manual QA run continuously, so bugs are caught before they reach you and regressions are caught before they reach production.
We ship to production with monitoring and rollback in place, then stay on to support, optimize, and extend. The relationship doesn't end at launch — that's usually where the most important work begins.
A growing fleet operator was tracking hundreds of vehicles across disconnected spreadsheets, with no real-time visibility into status, maintenance, or location.
An automotive group managing multiple dealerships had no unified view of inventory, sales pipeline, or after-sales performance across brands.
An automotive OEM had no unified digital touchpoint for after-sales — service bookings, warranty claims, parts ordering, and customer feedback all ran through disconnected channels.
Technicians at a dealership network spent hours searching through thousands of pages of repair manuals and technical service bulletins to diagnose complex vehicle issues.
A university placement cell was coordinating thousands of students and dozens of recruiters entirely by email and spreadsheets, drowning in manual report generation.
An education provider was delivering the same content to every student regardless of skill level, resulting in high drop-off rates and poor course completion.
A university was running separate systems for attendance, grades, fee payments, and communications — forcing students and faculty to juggle multiple logins daily.
A growing mid-sized manufacturer ran on four disconnected tools for inventory, invoicing, HR, and reporting, with siloed data and reporting that took days.
A multi-facility manufacturer had no real-time visibility into raw material stock levels, leading to frequent production stoppages and over-ordering.
A factory's quality control and production reporting relied on paper forms and manual data entry, causing delays, errors, and zero traceability.
A financial services firm's compliance team spent weeks manually reviewing policy documents against changing regulations, risking missed updates and audit findings.
An insurance company's reporting team was manually compiling data from six different systems into monthly board reports, taking two full weeks each cycle.
A brokerage firm processed thousands of client documents monthly using manual classification, filing, and retrieval — leading to lost documents and compliance risks.
An online retailer's legacy backend couldn't handle traffic spikes during sales events and had no personalization capability, leading to lost revenue.
A fashion retailer's website showed the same trending products to every visitor, missing opportunities to cross-sell and upsell based on individual preferences.
A retailer with both online and physical stores had no unified view of orders, leading to overselling, fulfilment delays, and frustrated customers.
A logistics company had no real-time visibility across their supply chain — shipments were tracked via phone calls and manual spreadsheet updates.
A courier service managing 5,000+ daily shipments had no automated way to detect delays, predict ETAs, or notify customers proactively.
A delivery company's drivers followed static routes planned manually each morning, leading to wasted fuel, missed delivery windows, and uneven workload distribution.
A multi-speciality clinic was managing patient records across paper files and three different software systems, leading to lost records and duplicated tests.
A hospital network's appointment system caused frequent double-bookings, no-shows, and inefficient doctor utilization — frustrating both patients and clinicians.
A hospital group had vast clinical data locked in EHR systems with no way to identify treatment outcome trends, operational bottlenecks, or population health patterns.
A real estate firm's website had a basic listing page that couldn't handle complex searches, had no map integration, and lost leads due to slow response times.
A property developer's sales team tracked leads in personal spreadsheets with no visibility into pipeline, follow-up compliance, or conversion metrics.
A property management company processed lease agreements, renewals, and compliance documents manually — causing missed deadlines and legal exposure.
A mining operation had no real-time visibility into equipment health, leading to unexpected breakdowns that halted production and caused safety risks.
An energy company managed safety inspections, incident reports, and regulatory compliance through paper forms and email — creating audit risks and slow response times.
A mining company's production planning relied on historical averages and spreadsheet models that couldn't account for geological variability, equipment availability, or market price fluctuations.
A hotel chain managed reservations through a mix of phone calls, OTA extracts, and a legacy PMS that couldn't handle multi-property operations or dynamic pricing.
A luxury resort had no digital touchpoint with guests between booking and checkout, missing opportunities for upselling, feedback collection, and personalized service.
A hotel group's housekeeping, maintenance, and front desk teams operated on walkie-talkies and paper logs — leading to missed tasks, slow room turnovers, and no accountability.
Defined scope, defined budget.
Best when requirements are clear and you want certainty on cost and timeline. We scope tightly, agree on deliverables, and commit to a fixed price and date.
Milestone: Discovery/Design → 20%, Development → 30%, and so on
Billing: Invoice raised and payment collected upon completion of each milestone.
Best for: Well-defined projects & MVPs
Your team, our engineers.
A senior team that works as an extension of yours — full-time, fully accountable, and embedded in your workflow. Ideal for long-term products that need continuous momentum.
Nature: Ongoing dedicated resources, usually monthly.
Milestone: Month 1 → Base module delivered, Month 2 → Feature Set 1, and so on
Best for: Long-term products & scale-ups
Flexible scope, pay for what you use.
Best when requirements will evolve. You get full flexibility to change direction as you learn, with transparent billing for the time and resources actually used.
Nature: Hours-based; milestones can be functional or phase-based.
Milestone: Setup Dev Env & Initial Module → Timesheet hrs × rate
Billing: Invoice sent milestone-wise with hours verified by client.
Best for: Evolving scope & R&D
Benefits of Milestone Billing
No pitch decks. Just an honest conversation about your project and whether we're the right fit.