AI solutions that are Useful, Accurate, Private, Practical.
We build AI and machine learning features that solve specific business problems: answering customers, reading documents, forecasting demand and spotting defects.
AI that earns its place
Cloudi5 is an AI development company that builds generative AI, chatbots, document AI, forecasting and computer vision into the software businesses already use. We start with one measurable problem, test it on your own data, then connect the model to your ERP, CRM, website or app. Your data stays protected and the solution is yours.
A small proof of concept on your real data that shows accuracy, time saved and cost before you commit.
Chatbots and document AI that answer questions and read invoices, orders and reports for your teams.
Machine learning and computer vision that forecast demand, flag risks and inspect products automatically.
Tools and stack
We pick proven, well-supported technology for AI & ML Solutions, so your product is fast today and easy to hire for and extend tomorrow.
Python
TensorFlow
PyTorch
Pandas
Django
Node.js
React
PostgreSQL
Docker
AWS
Google Cloud
Our standards
Your data is never used to train public models, with masking and role-based access built in.
Every model is tested on held-back data, and results are reported before go-live.
Low-confidence answers and decisions are routed to your staff for review, not guessed.
Seven steps that move from a clear problem to a monitored, working system.
We list the tasks where AI could save time or money, estimate the gain for each one, and pick the use case with the clearest and fastest return for your business.
We check what data you have, how clean and complete it is and how sensitive it is, then plan how to collect, clean or label anything that is still missing.
A small working version is tested on your own data, and we report its accuracy and the time it saves, so you decide on the next step based on facts.
We choose or train the right model, then build the prompts, data pipelines and screens around it, releasing in stages so your team can review and test working versions early.
The AI is connected to your ERP, CRM, website, WhatsApp or mobile app, so results appear inside the tools your teams already use every day, not in a separate system.
We test accuracy, safety and tricky edge cases, then roll out carefully, with human review switched on for any answer or decision the model is not confident about.
After launch we track accuracy and usage, update knowledge bases and retrain models as your data and business change, so performance holds up over time.
What you get
Assistants that draft replies, summarise documents and answer staff questions from your own knowledge base.
PythonNode.jsWebsite and WhatsApp chatbots that answer customers, capture leads and book appointments, with handover to your team.
Node.jsReactReading invoices, purchase orders, forms and reports, extracting the data and pushing it into your systems.
PythonPyTorchMachine learning models that predict demand, sales, cash flow and stock needs from your history.
PythonPandasTensorFlowCamera-based defect detection, counting, safety monitoring and OCR for factories, warehouses and retail.
PyTorchTensorFlowSecure hosting, APIs, usage tracking and accuracy monitoring so AI keeps performing after launch.
DockerAWSGoogle CloudCase studies
Ways to work with us
Some clients hand us the whole project, others need extra hands for their own team. Tell us how you work and we will suggest the model that fits.
Find the right modelWe own the build from plan to launch at an agreed price and timeline, while you focus on running the business.
Our designers and engineers join your team, follow your process and tools, and add capacity exactly where you need it.
A full-time developer or a small product squad that works only on your product, month after month, on flexible terms.
Why us
AI only pays off when it fits into real work. We build it into your systems, not beside them.
We start from a measurable business task, not from the latest AI trend.
A fixed-price proof of concept shows results on your data before bigger spend.
AI connects to the ERP, CRM, apps and websites we already build.
Private hosting options and no training of public models on your information.
Data, AI, backend and app engineers in one team, so delivery stays simple.
We monitor accuracy and retrain models as your business and data change.
Our value proposition
Typical agencies
Where we work
Our whole team works from one office in Coimbatore and serves clients across India, the UK, the US, Australia and the Middle East.
Head office
+91 97874 67575 [email protected] Get directions
Clients across
Still have a question? Talk to the people who will actually build it.
Talk to usCost depends on the use case, the data available and how deeply the AI must connect to your systems. A chatbot or document-reading tool built on existing models costs far less than training a custom model. We usually start with a small proof of concept at a fixed price, then quote the full rollout once results are proven.
It depends on the scope and your data. A proof of concept on your own data is usually a matter of weeks, while a production chatbot, document AI or custom model connected to your systems takes a few months and ships in stages. You see working results early, and you get a written timeline before any work starts.
Machine learning finds patterns in your data to predict or classify, for example forecasting sales or detecting faulty parts. Generative AI creates new content such as answers, summaries or drafts, usually using large language models. Many useful solutions combine both, and we recommend the right mix for your problem.
Yes. We build AI assistants that answer questions from your manuals, policies, product catalogues and past tickets using retrieval-augmented generation. Answers cite the source document, stay within your content and can hand over to a human. They can run on your website, WhatsApp or inside internal tools.
Yes. We use enterprise AI services that do not train on your data, or host open-source models on your own cloud when privacy demands it. Access is role-based, sensitive fields can be masked, and every request is logged. We explain exactly where your data goes before any work begins.
Not always. Chatbots and document AI can work well with the documents you already have, because they build on pre-trained models. Forecasting and computer vision need historical records or labelled images. During the free review we check what you have and suggest how to fill any gaps.
Why choose Cloudi5?
Point at a tile to see what you get when you build with us.
