Business Consultation
We don’t just consult to validate your ideas; we consult to understand the viability and the nature of your ideas. We define roadmaps and guide teams responsible for the execution of these ideas from scratch.

AI is something that cannot go unnoticed for businesses, yet somehow, for most businesses, it is still a roadmap that needs to be defined for them. Enter: Webnautical, a team of highly competent individuals, seasoned with experience, geared with the awareness of the tools that can be used to nudge the business in the correct direction. We build systems that fit in your day-to-day usage rather than forcing your business to adapt to the AI, that’s popular that day.
It can be a built enterprise you’ve developed, or a startup you believe in that has the potential – the aim is clear: to give you a simple, smarter, meaner, lighter, and stronger operating system that converts business into results.

A common question that most of the projects ask us: What does the data tell us? At Webnautical, our Machine Learning Models help businesses identify patterns, hidden trends, predict markets, locate demands, and even the decimals that go unnoticed to make any decision make a better decision.

We understand that organisations often have tasks that consume a lot of time and add very little value to the overall development. Webnauticals AI developed solutions help enterprises be free from the tiny tidying work that might drain resources, and helps the team focus on making strategic leaps.

A thumb-rule for any business; it runs on communication. Enter: NLP – helping enterprises understand complex text, emotions, and even context. Whether it’s understanding Chatbots, summarising important documents, or basically making any information more useful and usable, simplifying your tasks.

An image usually carries a lot of information, whether it’s pixels or a message that any computer translates for you to finally make it make sense for you to understand what it is about. Our Computer Vision Solutions help you conduct a real-time visual check of the images you get.

Analysis, but backed with predictions that help you reduce risks, prepare for fluctuations, and even reduce risks, thus helping you plan better for the next decision. The next time you walk in with a problem, you have evidence-backed planning instead of guessing what to do.

At Webnautical, we dont want to raid on your current systems and take them away from you, resulting in you having to adapt to everything or losing your previous data. We simply make your existing systems work better by integrating our AI solutions into them.
A few steps or Milestones occur during the journey of an AI development process.
Discuss a projectUnderstanding, evaluating, integrating and executing from end to end, our team has got you covered.
When the data is correct so is the planning. We take pride in formatting the data in an organised manner that later helps us prepare to get your projects executed.
This is where ideas become functional. Models are designed, tested, and refined until they meet the expected performance.
Nothing leaves our sight untested and unassured. Quality assurance, stabilising the deployment, and making sure the enterprise does not face any difficulties during the deployment – Webnautical looks over it all.
Its not something that ends with deployment – tracking the operations, reducing errors and even assuring constant performance to deliver results by time is something that comes with getting onboarded with us.
A clear, intuitive design helps users navigate the app easily, making their user experience smooth and satisfying from start to end.
A clear, intuitive design helps users navigate the app easily, making their user experience smooth and satisfying from start to end.
A clear, intuitive design helps users navigate the app easily, making their user experience smooth and satisfying from start to end.
A clear, intuitive design helps users navigate the app easily, making their user experience smooth and satisfying from start to end.
A clear, intuitive design helps users navigate the app easily, making their user experience smooth and satisfying from start to end.
A clear, intuitive design helps users navigate the app easily, making their user experience smooth and satisfying from start to end.

Driving Growth Across Multiple Sectors
Innovative Projects, Lasting Contributions
Transforming ideas into future-ready solutions.
Figma
Shopify
CodeIgniter
AWS
Photoshop
illustrator
Docker
Chat gpt
Node Js
laravel
Php
React
JQuery
Java Script
Canva
IOS
Flutter
Figma
Shopify
CodeIgniter
AWS
Photoshop
illustrator
Docker
Chat gpt
Node Js
laravel
Php
React
JQuery
Java Script
Canva
IOS
FlutterDriving Growth Across Multiple Sectors
Voices That Define Our Success
Tailor-made tools for tailor-made desired results, not your average one-for-all solution. The best results, no fluff.
At Webnautical, we believe in the 30 percent rule; at least 30% of the tasks should be carried out by AI for any integration to be of worth.
Well, it might not be as complicated as the backend might make it sound. It involves general identification of the problem, preparing data that helps the model solve it, and then testing to a point where it deploys. Additionally, it also involves us improving as newer data comes in.
That’s something that depends on the enterprise. A custom solution is usually reliable based on the problem that needs to be resolved.
Depends on the size of the data, the needs of any integration, and the complexity of the problem. Basic tools might be quite affordable, whereas the bigger enterprise systems may need more investment.
A good partner would be someone reliable who has a strong technical understanding of the industry and can deliver when the time comes, with optimised results with transparency, and clear communication.
An AI model that is developed around your very own business data, hence helping you identify problems and solve them to get the best results for your enterprise.
It goes like this in a chronological order: Planning, Collecting Data, Preparing Data, Designing Model, Evaluating it, and then deploying.
It’s on the business’s priorities. On what might be needed, whether it’s predicting or automating or even a model that can simply be integrated in your existing model.
Not going for the custom solution, rather building your own tailor-made model that works around your particular business needs.
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