CODT Technologies is an enterprise software and AI engineering firm headquartered in Gurugram, India, with a North American office in Milpitas, California. Since 2017 we have designed, built and operated production systems for founders, scale-ups and CIOs across Switzerland, Australia, the United States and the EU.
Our work spans multi-tenant SaaS platforms, native and cross-platform mobile apps, AI voice agents and machine-learning systems, IoT-connected hardware, ERP and back-office portals, and cloud/DevOps infrastructure on AWS. Senior-only teams, honest scoping, and full IP transfer on every engagement.
CODT Technologies is an enterprise software and AI engineering firm headquartered in Gurugram, India, with a North American office in Milpitas, California. Since 2017 we have designed, built and operated production systems for founders, scale-ups and CIOs across Switzerland, Australia, the United States and the EU.
Our work spans multi-tenant SaaS platforms, native and cross-platform mobile apps, AI voice agents and machine-learning systems, IoT-connected hardware, ERP and back-office portals, and cloud/DevOps infrastructure on AWS. Senior-only teams, honest scoping, and full IP transfer on every engagement.
Location and contacts
Major clients
Processes and approach
How do you gather and validate client requirements?
Requirements start with a technical conversation, not a form. A senior engineer takes the first call and asks what the business actually does day to day — the repeatable steps, where the process breaks, what happens on the bad days. We map the existing workflow, interview the people who will use the system daily rather than only those commissioning it, audit the tools and data already in place, and capture constraints first. We write it back as a functional specification, resolve ambiguity before estimation, then validate with early prototypes and working demos at every milestone.
How do you ensure alignment with client goals and business strategy?
Alignment starts by refusing work that is not a fit — we give an honest read before a proposal exists. We then anchor the engagement to business outcomes rather than a feature list: what the system has to change commercially, what success looks like in measurable terms, and what is explicitly out of scope. Through delivery, alignment is maintained by visibility — working software at every milestone, a shared backlog, founders in the room for decisions with commercial consequence. Systems are built to absorb the strategy that comes next, and the client owns 100% of the code and IP.
Which software development methodologies do you use (e.g., Agile, Waterfall, Scrum)?
We work Agile — Scrum by default, Kanban for support and maintenance where work arrives continuously. Two-week sprints, a prioritised backlog the client can see and re-order, working software demonstrated at the end of every cycle, daily stand-ups, planning and retrospectives. We are pragmatic rather than dogmatic: discovery and architecture happen up front, because the systems we build are operationally critical and the data model is expensive to get wrong. Underneath it — pull-request review on every change, CI/CD with automated deployment, and infrastructure-as-code.
How do you keep clients and stakeholders updated on project progress?
Progress is visible continuously, not summarised after the fact. Clients see the same live backlog we do and can re-prioritise between sprints. Every cycle ends with a demo of working software, not slides. A short weekly written update covers what shipped, what slipped and why, and what needs a decision. Both sides have a named point of contact, plus a shared channel for questions that take minutes rather than a scheduled call. Clients get staging access from early on. Anything material — a constraint, a delay, a cost implication — is raised the day we know, with options attached.
How frequently do you hold check-in meetings or status updates?
Cadence is agreed at kickoff and adjusted to the phase of the project. By default: a daily internal engineering stand-up, so blockers surface within a day rather than a week; a weekly 30-minute client call covering progress, decisions and risks; a short written update the same week, whether or not the call happens; a sprint demo and planning session every two weeks; and a monthly milestone review for executives outside the day-to-day. We increase frequency during discovery, launch weeks and incident response, and scale back to monthly once a system is in steady-state support.
What quality assurance practices do you follow?
Quality is built into the pipeline, not bolted on at the end. Every change goes through peer-reviewed pull requests, with linting, static analysis and automated tests enforced in CI — a build that fails does not merge. A dedicated QA engineer tests against the acceptance criteria agreed during discovery, across real devices and hardware, with regression runs before each release. Separate dev, staging and production environments; nothing ships without client acceptance on staging. Access control, encryption, audit logging and regional hosting where data-sovereignty rules require it.
How do you identify and manage project risks?
Risk management starts before the contract, with an honest read on fit and feasibility — most project failures are visible at that stage and ignored. In discovery we capture constraints first, log every assumption with an owner and a date, and prototype the unproven parts early rather than discovering them at month four. Risky work is sequenced first, dependencies are isolated, and nothing reaches production without a rollback procedure behind it. Risks are revisited at sprint planning, and anything material is raised the day we know, with options attached.
What kind of support or maintenance do you offer after delivery?
We operate systems, we do not hand them over and disappear — the engineers who built it are the ones who support it. Delivery includes a free bug-fixing period and full handover: 100% of the code, IP and infrastructure, with documentation and deployment pipelines. Beyond that we run a support agreement scoped to what the system needs — monitoring and alerting with defined response times, security patching, cloud and cost management, performance tuning, and platform upgrades. Because the client owns everything, staying with us is a choice rather than a dependency.