KGT Solutions is an AI and software engineering company based in Noida, India. We work with mid-market and enterprise teams that need AI and software to work in production, not just in a pilot.
Our work spans five practices. AI Systems and Agents covers AI agents, document AI, enterprise search and AI process automation, with evaluation and human review built in. Software Engineering and Modernisation covers custom software, SaaS and MVP builds, ERP systems and the modernisation of legacy applications. Industrial AI and Operations covers predictive maintenance, machine vision and video analytics for plant safety. Cloud, Data and Platform Engineering covers cloud migration, DevOps, data pipelines and observability. Compliance and Traceability covers digital product passports, verifiable records and trade documents.
Each engagement starts with a scoped first piece of work on one process, line or dataset. We prove the result, then scale it. At handover the client receives the code, documentation and repository, so their team owns the system with no lock-in.
KGT Solutions is an AI and software engineering company based in Noida, India. We work with mid-market and enterprise teams that need AI and software to work in production, not just in a pilot.
Our work spans five practices. AI Systems and Agents covers AI agents, document AI, enterprise search and AI process automation, with evaluation and human review built in. Software Engineering and Modernisation covers custom software, SaaS and MVP builds, ERP systems and the modernisation of legacy applications. Industrial AI and Operations covers predictive maintenance, machine vision and video analytics for plant safety. Cloud, Data and Platform Engineering covers cloud migration, DevOps, data pipelines and observability. Compliance and Traceability covers digital product passports, verifiable records and trade documents.
Each engagement starts with a scoped first piece of work on one process, line or dataset. We prove the result, then scale it. At handover the client receives the code, documentation and repository, so their team owns the system with no lock-in.
Location and contacts
Major clients
Processes and approach
How do you gather and validate client requirements?
We start with a short discovery with the people who run the process: we review the existing systems and data, agree the result we expect to prove, and write it into a scope the client signs off before any build starts.
How do you ensure alignment with client goals and business strategy?
Every engagement is tied to one business result agreed at the start. We prove that result on a scoped first piece of work before scaling, so further spend follows evidence rather than promises.
Which software development methodologies do you use (e.g., Agile, Waterfall, Scrum)?
Agile delivery in short iterations, with a working demo at the end of each iteration and a prioritised backlog the client can see and change.
How do you keep clients and stakeholders updated on project progress?
A shared project board, a written update after each iteration and a demo of working software. Clients have access to the code repository throughout the project.
How frequently do you hold check-in meetings or status updates?
Regular check-ins, usually weekly, plus a demo at the end of each iteration. The cadence is adjusted to the client's own governance.
What quality assurance practices do you follow?
Code review on every change and automated tests in the delivery pipeline. For AI systems we also agree an evaluation set and acceptance thresholds with the client before go-live.
How do you identify and manage project risks?
We identify the biggest technical and data risks during discovery and test them first in the scoped first phase. Open risks are reviewed with the client at each check-in.
What kind of support or maintenance do you offer after delivery?
A full handover of code, documentation and repository, knowledge transfer to the client's team, and optional support and maintenance covering monitoring, fixes and model updates.