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Also serving Bangalore and Bengaluru
Bengaluru has no shortage of AI talk; what its pharma units, precision shops and product firms need is a working model wired into the systems where their data already lives.
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Photo: Gpkp · CC BY-SA 4.0, cropped · via Wikimedia Commons
Trusted by 200+ organisations across India & overseas — including
Pharma and biotechnology
Classification and search across batch records, protocols and regulatory documents for units in the Bommasandra belt, with values extracted from instrument reports into structured records and access controls suited to regulated data.
Precision engineering and aerospace suppliers
Reading inspection and test certificates, checking values against drawing tolerances and flagging deviations for a quality engineer, deployed on private infrastructure where a customer's confidentiality terms require it.
Startups and SaaS
AI features built into an existing product, such as summarisation, smart search or an in-app assistant, delivered by a team that works alongside the founders' own engineers. The startup keeps its roadmap and owns the code.
Bengaluru Urban is where much of India's AI research happens, which makes buyers here harder to impress and clearer about what they want. A pharma unit in Bommasandra wants batch records classified and searchable. An engineering shop in Doddanakundi wants inspection reports read and checked against tolerances. A SaaS company in Indiranagar wants a smart feature inside its product without building a machine-learning team to get it.
Acube is an AI development company for that practical middle ground. We build custom solutions: language-model assistants grounded in your documents, document extraction and classification, forecasting on your sales and stock history, and automation agents that complete defined back-office jobs. Each is built to order and connected to ERPNext or your existing software through APIs. We say plainly when a simpler rule will do.
Case studies
Kera Cabs
Kera Cabs — 55% of Bookings Moved Off the Phone and Into the App
Kochi Metro Rail Limited (KMRL)
Kochi Metro (KMRL) — ERPNext Property & Lease Management, Zero Paper
Kerala State Road Transport Corporation (KSRTC)
KSRTC — ERPNext Courier System Delivered ₹1 Crore in Profit
Many Bangalore companies own a promising notebook demo that nobody can deploy. We engineer the unglamorous parts: data pipelines, access control, monitoring, fallbacks and a user interface, so the model becomes a tool staff can open on a Monday morning.
Specifications, SOPs, contracts and test reports sit in shared drives where search fails. A retrieval-based assistant answers questions from those files with the source cited and respects who may see what. New staff find answers without interrupting a senior colleague.
Purchase and production planners reorder from experience. Models trained on your own sales, seasonality and lead times suggest quantities, and the planner stays free to overrule them. Forecasts are compared with actuals each cycle so trust is earned rather than assumed.
An example
A quality team at a formulation unit in Bommasandra Phase II starts Tuesday with a customer audit due on Thursday. The auditor has asked for every deviation on one product over two years. Before, that meant a week in filing cabinets. Now the quality head types the product code into the assistant, which searches the scanned batch records and deviation reports, lists each incident with its date and CAPA reference, and shows the page it came from. She checks three, exports the list and moves on. Meanwhile the analytical lab's instrument printouts from the morning are read by the same system, and their values land in the batch record without retyping. By evening the audit binder is assembled.
We work with Bengaluru clients as a remote engineering team based in Kochi. A project opens with a data review and a short feasibility exercise, so nobody commits to a build on hope. Workshops with domain experts happen at your site when the knowledge is in people's heads rather than in files. After launch we monitor accuracy and retrain or adjust on an agreed cycle.
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.
Both, depending on the problem. For language tasks we usually build on established large models with your data supplied at query time. For forecasting or classification on tabular data we train on your history. The proposal explains the choice and its effect on hosting.
Yes. Where data cannot leave your environment, as is common for defence suppliers and research firms in Bengaluru, we deploy on your infrastructure or a private cloud account you own, and design around open models that can be self-hosted.
We agree a metric before building: extraction accuracy on a test set, how many queries are answered correctly, forecast error against actuals. The pilot is judged on that number using your own data, and the result decides the next step.
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.
Indian Institute of Scienceinstitution
research university, established 1909
The research university sets the district's expectations of what AI can do; businesses here have read the papers and want a build that survives contact with their own messy data.
Source: iisc.ac.inBommasandra Industrial Area (KIADB, Phases I–IV)park
On Hosur Road in Anekal taluk, south of Electronics City; about 1,119 acres across four phases plus a further 712-acre extension in KIADB's list; pharma/biotech, engineering and auto-component units; the Yellow Line metro terminates at Bommasandra (opened August 2025).
Pharma and biotech units along Hosur Road keep years of batch records, deviations and instrument printouts; document AI that reads and indexes them is a direct answer to audit pressure.
Source: dcmsme.gov.inDoddanakundi Industrial Area (KIADB, Stages I–II)park
About 525 acres on the Whitefield–Mahadevapura side of east Bengaluru, between the Outer Ring Road and EPIP.
Engineering units between the Outer Ring Road and the export park produce inspection reports by the hundred, the raw material for tolerance-checking models.
Source: dcmsme.gov.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