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Also serving Calicut
Hospitals, traders and exporters in Kozhikode spend hours each day copying data between papers and screens; AI and automation take that copying away.
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Photo: Keerikkadanjose · CC BY-SA 4.0, cropped · via Wikimedia Commons
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No. It helps, because an open system is easy to connect to, but we also integrate with Tally exports, spreadsheets and other software. What matters is that there is somewhere reliable for the extracted or captured data to go.
Malayalam and mixed Malayalam-English messages can be handled for chat and voice. Printed Malayalam documents are workable; handwriting varies and must be tested on your actual samples. We will show you accuracy on your own papers before you commit to anything.
We design for that from the start. Patient records and trade data stay in systems you control, access is restricted by role, and we agree in writing what data any external AI model may see. For Calicut hospitals this discussion comes first, before any build.
After a first conversation about the process you want to automate, where its data lives and how you measure it today, we agree the scope and send you a written quotation. The price, the deliverables and the timeline are fixed against that scope before any work starts, so nothing grows without your sign-off.
You speak to someone who does this work, not a call centre. They ask about the work that takes the most hours, where its data lives and what a good result would look like. If it looks like a fit, we agree the scope and put it in writing, with the timeline, before any work starts. If it does not, we tell you.
Most automation conversations start in the wrong place, with the technology. In Kozhikode the right starting point is the desk where work piles up. The billing counter of a private hospital near the medical college re-entering insurance forms. The spice exporter's clerk typing supplier invoices line by line. An arecanut trader on Nut Street in Vadakara answering the same dispatch question from a dozen buyers on WhatsApp.
Acube builds custom AI for those desks: document reading that extracts figures from invoices and forms, chat and voice assistants that answer routine questions in Malayalam and English, and workflow automation that moves an approved entry into ERPNext without a person in between. Each solution is built for the client, not bought off a shelf.
Case studies
Connect N Cabs Tours & Travels Pvt. Ltd.
Connect N Cabs — A Custom Travel ERP That Lifted Fleet Utilisation 35%
Della Fashions
Della Fashions — ERPNext POS Made Checkout 60% Faster Across Every Outlet
Dumas Bakes N Meals Private Limited
Dumas Bakes N Meals — ERPNext Lifted On-Time Deliveries by Over 40%
A trading house receives purchase bills in every format imaginable, some printed, some handwritten. Document AI reads the supplier, items, quantities and tax, and presents a draft purchase invoice for a clerk to confirm. The person checks; the machine types.
Is the item in stock, has my order left, what is my balance. Distributors and clinics answer these by phone all day. An assistant connected to your system answers them directly and hands over to staff only when the question is unusual.
Overdue payments, pending lab reports, quotations not yet answered. These slip because someone has to remember them. Automated reminders and task creation based on rules make follow-up a routine and not a personal virtue.
An example
An offset printing unit in the city opens its inbox to the usual mix: a wedding-card order as a phone photograph, a school's exam-paper job as a PDF, a supermarket flyer brief typed into a chat window. Document AI reads each one, pulls out quantity, paper size, colour count and delivery date, and drops a draft quotation in front of the estimator. He corrects one paper weight and approves the rest. A customer messages to ask whether her invitation proofs are ready; the assistant checks the job status and replies, in Malayalam, with the proof attached. At noon the purchase clerk receives three supplier bills for paper and ink, and the same reader turns them into draft purchase invoices in ERPNext. The owner spends the afternoon at the press, where he would rather be.
We start small on purpose. One visit to your Kozhikode premises to watch the process, one narrow pilot on real documents or real queries, and a clear measure of whether it saved time. Development is done by our AI team in Kochi and reviewed with you on calls. If the pilot earns its place, we extend it; if it does not, you have spent little finding out.
Discovery. We map your processes and rank use cases by payback and by how ready the data is.
Pilot on your data. The first narrow use case, measured openly against your current baseline.
Human review. Your team checks the output until accuracy clears your bar.
Go-live with guardrails. Fallback to a person, confidence thresholds, audit logs and security controls.
Scale what works. The next use case, only once the first one has proved itself.
The scope and timeline are agreed in writing before work starts.
Healthcare and hospitals
Reading referral letters and insurance forms into structured records, appointment reminders by message or call, and answering visiting-hour and report-status questions so front-desk staff deal with the patients in front of them.
Spices and coffee trading
Extracting data from shipping and quality documents, matching purchase contracts with arrivals, and daily summaries of open positions sent to the owner's phone each morning.
Wholesale and retail trade
Order capture from WhatsApp messages and voice notes into sales orders, automatic payment reminders for retailers on credit, and alerts when fast-moving items fall below reorder level.
Government Medical College, Kozhikodeinstitution
Kerala's second medical college (1957), one of the largest hospital campuses in India by area, under Kerala University of Health Sciences
Kerala's second medical college and one of the largest hospital campuses in India by area; the private hospitals and labs that grow around such a campus run on referral letters and insurance forms that document AI can read.
Source: en.wikipedia.orgOffset Printers Cluster, Kozhikodecluster
Common facility centre for the offset-printing cluster taken up in 2007-08 through K-BIP (hard intervention) in DC-MSME's cluster list
A printing cluster with a common facility centre taken up through K-BIP in 2007-08; job orders arrive here in every format, so quotation and purchase automation has an obvious first desk.
Source: dcmsme.gov.inNut Street, Vadakaramarket
collection and distribution centre for coconut and arecanut, dried, packed and sent to other states
The collection and distribution centre for coconut and arecanut sent to other states; traders here handle dozens of weighment slips and dispatch documents a day that no clerk should retype.
Source: en.wikipedia.orgPlaces and organisations are named for local context only. Acube Innovations is not affiliated with or endorsed by them.
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Kochi (Kadavanthra & Infopark) · Thiruvananthapuram · across India & overseas · In business since 2011