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Also serving Mangalore and Mangaluru
Dakshina Kannada has the data, from cargo manifests to patient records and loan ledgers. AI development turns that data into predictions and assistants built for one business at a time.
Or call +91 62358 66111
Trusted by 200+ organisations across India & overseas — including
Cashew processing
Vision models to assist grading and defect spotting on the sorting line, yield analysis by supplier lot and origin, and demand and price trend analysis for planning the export calendar.
Marine products and fish meal
Yield and quality prediction from landing data, image-based inspection of raw material at intake, and models that relate catch season, moisture and processing settings to the protein grade a buyer pays for.
Banking and finance
Early warning on repayment stress from account behaviour, document classification for loan files, and an assistant that answers staff queries from policy circulars.
Artificial intelligence is discussed in every boardroom in Mangaluru, usually without a clear next step. The honest starting point is a question. Which decision in your business is made daily, on gut feel, with data you already hold? For a cashew exporter in Puttur it may be grading or price timing. For a lender it may be which accounts will slip. For a hospital it may be theatre scheduling.
Acube builds custom AI: machine learning models, language-model assistants grounded in your documents, computer vision for inspection, and the plumbing that connects them to ERPNext and other systems. We do not resell a packaged tool. For a Dakshina Kannada business we scope a narrow pilot, measure it against how the task is done today, and let the results decide whether to continue.
Case studies
Muthoot Securities Limited
Muthoot Securities — MScan, the Flutter App That Cut Document Search Time by 70%
Queue Off
Queue Off — Digital Payments That Work on a Feature Phone, With No Internet
Adventure Sports Cover 360 (ASC360)
ASC360 — ERPNext + Mobile App Cut Policy Issuance Time 70%
Useful history sits in Tally files, hospital software, spreadsheets and email. Before any model, we bring it together and clean it. Often this step alone shows owners in Mangalore patterns they had not seen.
AI trials fail when they belong to nobody. We insist on one named process owner, one measurable outcome and a fixed review date, so the pilot ends with a decision and not a drift.
Banks, societies and hospitals cannot act on a guess. We design for human review, show the evidence behind each output, and keep logs. Where confidence is low the system says so and hands over.
An example
The first shift at a cashew unit near Puttur starts with a lorry of raw nuts from a new supplier. Sample bags pass under a camera at the intake bench; the model estimates outturn and flags a higher share of immature nuts than usual, so the purchase manager renegotiates before unloading. On the grading line an overhead camera watches kernels move past and tallies wholes against splits and pieces, live, while the supervisor checks only the pieces the system is unsure about. At the end of the shift the owner's dashboard shows yield by lot and by line. Nobody has counted anything by hand, and the discussion at lunch is about the supplier, not the number.
We begin with a data review under a confidentiality agreement, done remotely from Kochi. A pilot is built in a contained environment and demonstrated to your management in Mangaluru, in person where the decision warrants it. Rollout, user training and monitoring follow. Dakshina Kannada clients receive the model, the code and the documentation, not a black box on rent.
Discovery and feasibility. Use cases ranked by payback and data readiness: a plan, not a pitch.
Pilot on real data. The first use case, measured for accuracy and time saved against your manual baseline.
Human review loop. Your team validates outputs while we tune to your threshold.
Production hardening. Audit logs, fallback paths, monitoring and access controls.
Scale and integrate. Rolled into your web and mobile apps and your dashboards.
The scope and timeline are agreed in writing before work starts.
Often yes, though not always in usable shape. A few years of transactions, documents or images is a reasonable start for many problems. We assess this first and tell you frankly if the data will not support the idea.
It can. Depending on sensitivity we deploy on your own cloud account or on premises. For financial and medical data in Dakshina Kannada, keeping it inside your environment is usually the right choice.
Narrow, frequent and measurable. Reading supplier invoices, flagging overdue accounts likely to default, or grading on a sorting line are good first steps. A grand company-wide AI programme is not.
After a first conversation about the use case, the data behind it and the accuracy you need, 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 decision or task you want AI to handle, the data behind it and the result you need. 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.
ICAR-Directorate of Cashew Research, Putturinstitution
national nodal centre for cashew research at Darbe, Puttur
The national cashew research centre sits at Darbe in Puttur, in the middle of the processing belt. Grading, outturn and kernel quality are measured here scientifically, and the same measures are what a vision model learns to estimate on a factory line.
Source: cashewresearch.inMarine products, fish meal and fish oil, Mangaluru coastcluster
Fish meal and fish oil are exported through New Mangalore Port and marine products are a listed key sector; units cluster along the coastal belt from Bunder to Mukka.
Fish meal and fish oil plants along the coast turn a variable catch into a graded product. Predicting yield and protein grade from intake data is a well-shaped first machine learning problem.
Source: dcmsme.gov.inSTPI Mangaluru, Derebailinstitution
Software Technology Parks of India centre set up in 2001, about 12,000 sq ft with incubation space and data-communication services for software exporters
The STPI centre at Derebail has supported software exporters since 2001. Product firms around it are natural partners for embedding models into their own applications rather than buying a black box.
Source: bengaluru.stpi.inPlaces 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
