Conversational assistants
Chat and support assistants grounded in your own documentation and product data, so answers are accurate rather than invented.
Globosoft builds next-generation applications that are intuitive, adaptive and genuinely useful, from smarter automation to personalised customer experiences. Our team works from Palarivattom, Kochi with businesses across Kerala, India and the UAE.
It means adding capability an application could not otherwise have: understanding language, recognising patterns in your data, making a recommendation, or automating a decision that a person currently makes by hand. By integrating artificial intelligence into custom-built applications, we create software that adapts rather than just responds.
Every business is different, so we build AI features around the specific need, improving customer engagement, automating a repetitive internal process, or surfacing something useful buried in data you already hold. The starting question is always which problem is worth solving, not which model is fashionable.
We integrate advanced artificial intelligence into custom applications so they adapt to the people using them.
Chat and support assistants grounded in your own documentation and product data, so answers are accurate rather than invented.
Product and content recommendations based on behaviour, catalogue relationships and purchase history.
Reading invoices, forms and documents into structured data, replacing manual entry that is slow and error-prone.
Search that understands intent rather than only matching keywords, across catalogues and knowledge bases.
Demand, stock and trend models built from your historical data, with honest confidence bounds.
Automating repetitive decisions and routing, with human review kept where the cost of an error is high.
Applications that adapt to user preferences through machine learning and data-driven interface decisions.
AI features wired into the ERP, CRM, commerce or booking systems you already run.
Most AI projects that fail were solutions looking for a problem. We begin by understanding your business challenges and goals, and working out where AI integration would genuinely change an outcome, and where a well-designed form or a database query would do the same job for a fraction of the cost.
If the honest answer is that you do not need machine learning for this, we will say so. That is more useful to you than an impressive-sounding build that nobody uses.
AI features are built on data, and the quality of that data sets a ceiling on what can be achieved. Before design we look at what you hold, how clean it is, how it is labelled and whether you are permitted to use it for this purpose.
Where the data is not yet good enough, the first phase becomes getting it into shape. That is less exciting than model work but it is what makes the model work.
We design and develop the intelligent algorithms that power the application's features, creating customised models that integrate cleanly with the rest of the system rather than sitting beside it.
Every model is evaluated against a held-out test set and against the baseline it is meant to beat. If it does not beat the baseline, that is reported rather than hidden behind a demo.
Four phases, with a genuine go or no-go decision after feasibility.
Understand the business challenge and goals, and identify where AI integration would change an outcome.
Review the data you hold, its quality and permitted use, and confirm whether the problem is solvable at acceptable cost.
Design and build the algorithms, integrate them into the application, and evaluate against a baseline.
Release with monitoring, watch for drift, and retrain or adjust as real usage data arrives.
Kerala clients can run discovery and feasibility workshops in person at our Palarivattom office. UAE requirements are coordinated through our Dubai office.
Clear answers for teams evaluating providers, budgets, timelines and regional delivery.
Often not. If a rule, a form or a database query solves the problem, that is cheaper, faster and easier to maintain. AI earns its place where the input is unstructured, the pattern is too complex to write down, or the volume makes manual handling impractical. We assess that honestly during discovery.
It depends on the feature, but generally enough historical examples of the thing you want predicted or automated, in reasonable quality, that you are permitted to use for the purpose. Where data is not yet ready, the first phase becomes preparing it.
Yes. Most of our AI work is integrated into systems clients already run, commerce platforms, booking systems, CRMs and internal tools, rather than delivered as a separate product.
Every model is evaluated against a held-out test set and against the baseline it is meant to beat, and we keep human review in the loop wherever the cost of an error is high. We report accuracy honestly, including when it is not good enough to ship.
It depends on data readiness, problem complexity and integration scope. We structure engagements so feasibility comes first and is inexpensive, giving you a genuine go or no-go decision before committing to a full build.
Describe the decision, the manual process or the customer experience you want to improve, and what data you hold. We will tell you whether AI is the right answer and what a feasibility phase would cost.
What happens after you get in touch
Kochi, India · Dubai, UAE
Tell us what you sell, who buys it and where it has stalled. We come back with scope, cost and timeline in writing, so you can compare us against anyone else on the same terms.
Prefer to talk? +91 8086 677 990
Enquiry received
Your enquiry is with our team in Kochi. We reply once, in writing, with scope, cost and timeline — normally within one working day.
Want an answer sooner? Send the same details straight to us on WhatsApp.