For manufacturing & processing industries

From registers to real-time.

Turn shift logs, QC checksheets and SAP exports into live dashboards, faster approvals and fewer defects — one line, one pilot at a time. In Tamil and English.

  • Works with SAP and your ERP
  • On-site in Tamil Nadu
  • 4-week pilot on one line

100+

projects delivered

20+

clients · North America, Europe & Asia

5.0

average client rating

PhD

AI-led delivery, every project

Weeks

not months, to a working pilot

Smart factory, step by step

Five practical upgrades for the shop floor

Most plants start with Paper to Digital — it is low-risk and creates the data every other step needs.

Paper to Digital

The problem: Shift registers, QC checksheets, gate passes and challans sit in files nobody can analyse.

What we build: Photo or scan capture that reads handwritten and printed logs into a searchable, chartable database.

Months of logs searchable in days; faster audits

Proof: Title-document extraction for a US law firm

Plant Pulse Dashboards

The problem: OEE, downtime and dispatch numbers come together only at month-end, from SAP exports and Excel.

What we build: SAP-connected dashboards for production, OEE, downtime and dispatch, plus custom analytics.

Your daily plant report ready by 9 am

Proof: Workplace-safety risk scoring in Power BI for a US insurance & manufacturing client

Safety & Quality Vision

The problem: Defects are caught at final inspection — or by the customer. PPE lapses go unseen.

What we build: Camera-based defect detection at the station and PPE / unsafe-zone alerts. Focused on safety and quality, not on watching individuals.

Fewer rejects and safety incidents

Proof: Computer-vision pilot — [add project]

Ask Your Plant

The problem: Supervisors phone around for stock, order status or SOPs. Approvals wait on email.

What we build: A WhatsApp assistant that answers in Tamil or English from your SOPs and live data, and routes approvals.

Answers in seconds; shorter approval cycles

Proof: Grounded assistants for a healthcare startup and a customer-service team

Field & Farm Intelligence

The problem: Raw-material sourcing and site decisions rely on site visits and guesswork.

What we build: Satellite imagery analysis for crop health, acreage and site monitoring — for agri-linked processing units.

Earlier, wider visibility of supply

Proof: Satellite analytics — [add project]

Now enrolling · Founding Plant Partner Program

Founding Plant Partners

Chennai · Hosur · Coimbatore · Manufacturing & processing

The challenge

We are selecting three Tamil Nadu plants for a discounted 4-week Paper to Digital pilot, in return for a published case study.

What the pilot includes

  1. 1We digitise one register or checksheet on one line.
  2. 2You get a live dashboard and weekly summary on WhatsApp.
  3. 3We agree one number up front — and report on it at week 4.

The result

4 weeks

From paper registers on one line to a live dashboard your plant head checks every morning.

Apply for a pilot slot

How we work

Start small, prove it works, then grow it.

01 · Free

30-min AI review

We look at how work moves today and name the one task worth automating first.

02 · 2–4 weeks

Fixed-scope pilot

A working slice on your real data, with one number agreed up front to judge it by.

03 · Go live

Production, with you in control

Guardrails, cited answers and human approval on every high-stakes step.

04 · Ongoing

Care & improve

Monitoring, fixes and upgrades on a monthly plan. You own the code — no lock-in.

Results

Projects we have delivered

14 projects across 11 industries and 6 countries. Client names stay confidential — each project is described by the type of organisation, the problem and what we built.

Most relevant to Manufacturers shown first

Healthcare · Ophthalmology & optometry
Relevant to youIn production

Product-acceptance insights platform for eye-care equipment

Eye-care technology company (small business) · USA

Problem type
Customer & market insight
Service area
Insights Engine
Used by
Optometry equipment manufacturers
The challenge
Optometry equipment manufacturers wanted to understand how their products are received across different demographic groups — evidence sales figures alone could not give them.
What we built
A production chat and insights platform over an enriched knowledge base. Retrieval keeps every answer grounded in source data, and sentiment analysis rolls up into brand-sentiment reports and dashboards.

Manufacturers get grounded, demographic-level insight into how their products are accepted.

AI approach
RAG over an enriched knowledge baseSentiment analysisGrounded report generation
Tech stack
LLM chatVector retrievalInsight dashboards
Read the case study →
Healthcare · Ophthalmology
Relevant to youDelivered

Social-media trend & sentiment tracker for ophthalmology brands

Eye-care technology company (small business) · USA

Problem type
Trend & sentiment monitoring
Service area
Insights Engine
Used by
Product and marketing teams
The challenge
The team needed to know which ophthalmology products, brands and companies were trending in social-media conversations — and how people felt about each of them.
What we built
A pipeline that collects posts from relevant social-media communities, scores sentiment towards each product, brand and company, and turns the results into word clouds and charts.

Detailed trend and sentiment insight on ophthalmology products and brands.

AI approach
NLPEntity-level sentiment analysisTrend tracking
Tech stack
Python NLPWord cloudsCharting
Read the case study →
Legal · Real estate
Relevant to youIn production

Automated deed-order generation

Real-estate law firm (small business) · USA

Problem type
Manual document processing
Service area
Document & Content Automation
Used by
Legal staff preparing deed orders
The challenge
Preparing deed orders from title commitment documents was slow and manual, and every deed type needed a different template.
What we built
GPT-4 reads each uploaded title commitment and extracts the grantors, grantees, property address, state and county. A staff member confirms the details, then the correct deed template is filled automatically, emailed through a Make (Integromat) workflow and filed in Google Drive.

10× less manual effort on deed preparation, with 100% precision through human-in-the-loop validation.

AI approach
LLM document extractionHuman-in-the-loop validationTemplate-based generationWorkflow automation
Tech stack
OpenAI GPT-4Make (Integromat)Google Drive
Read the case study →
Healthcare · Longevity & Traditional Chinese Medicine
Relevant to youPilot delivered

AI video avatar of a longevity-medicine expert

Longevity-health startup · China

Problem type
Scaling scarce expert knowledge
Service area
Conversational Agents
Used by
Patients
The challenge
The client wanted a visual expert that could talk with patients, help identify their issues and respond with empathy — answering strictly from approved Chinese medical texts, with no made-up advice.
What we built
Approved medical texts in a vector database with RAG on Azure OpenAI; GPT-4 fine-tuned for an empathetic, doctor-style manner; speech-to-text and text-to-speech for voice; and a Wav2Lip lip-synced video avatar served through a FastAPI web app.

Pilot delivered with 100% precision on generated answers and no hallucinations; validated for production development.

AI approach
RAG on approved sourcesLLM fine-tuningSpeech-to-text & text-to-speechLip-synced video avatar
Tech stack
Azure OpenAI GPT-4Vector databaseWav2LipFastAPI
Read the case study →
Insurance · Manufacturing
Relevant to youDelivered

Workplace safety risk prediction

Insurance & manufacturing client (consulting engagement) · USA

Problem type
Risk prediction & prioritisation
Service area
Insights Engine
Used by
Safety and risk teams
The challenge
Workers’ compensation claims were costly, and there was no consistent way to tell which workplaces were most likely to have safety issues.
What we built
A machine-learning model that scores each workplace’s safety propensity from factory size, employee count, machinery size and weight, and audit history — with results delivered in Power BI dashboards.

Workplaces ranked by safety risk, so interventions go where they matter most.

AI approach
Predictive modellingRisk scoringBI dashboards
Tech stack
Pythonscikit-learnAWSPower BI
Read the case study →
Travel & tourism
In production

Persona-based travel destination recommender

Travel-tech startup · Singapore

Problem type
Personalisation at scale
Service area
Recommendation Systems
Used by
Travellers planning trips
The challenge
Travellers wanted destination suggestions that matched who they are — adventure, business, nature, family or couples — not a generic list. It also had to stay fast and affordable as usage grew.
What we built
An end-to-end AI pipeline: data prepared with AWS Glue and Spark, BERT classifiers that profile traveller personas, and multi-agent orchestration on AWS Bedrock combining graph and document retrieval so every suggestion is grounded in real data.

Personalised recommendations in production, with cost and latency cut at scale through prompt caching, model right-sizing and batch processing.

AI approach
Multi-agent orchestrationGraph + vector RAGPersona classificationPrompt caching & model right-sizing
Tech stack
AWS BedrockAWS GlueApache SparkBERT
Read the case study →
Browse every case study →

What clients say about working with us

“She validated requirements and explained possibilities clearly. Her serious approach, efficient communication and patience were remarkable.”
Pierre BarnaudProduct Manager, Future Energy · UK
“Her work was excellent, communication was top-notch, and she met all deadlines.”
John VillanovaJL Solutions · USA
“Constant updates, so we always knew the status of her work. The results exceeded our expectations.”
Jim SullivanOxsome Web Services · USA
Dr. Shiney Jeyaraj, founder of SharkAI Solutions

Who you'll work with

“You'll work with me directly — from the first call to go-live.”

Dr. Shiney Jeyaraj holds a PhD in AI, has published with IEEE and Elsevier, and is a Top Rated Upwork freelancer with a 100% Job Success Score. She leads every SharkAI project personally, with a delivery team amplified by our own AI agents — senior expertise at a cost that works for small teams.

PhD, Artificial IntelligenceIEEE · Elsevier publicationsUpwork Top Rated · 100% JSSMSME registered · Chennai

AI Perspectives

Practical thinking from Dr. Shiney and the team

Browse all 32 articles →

Questions plant heads and MDs ask us

Will it work with our SAP system?

We connect through standard SAP interfaces and exports. We confirm your version and access in the free review.

Where does our data stay?

In your cloud account or on your own servers if you prefer. Nothing leaves without your approval.

Can supervisors use it in Tamil?

Yes. Assistants and summaries work in Tamil and English, by text or voice on WhatsApp.

Is the camera system worker surveillance?

No. It is designed around safety and quality — PPE, unsafe zones and defects — not tracking individuals.

Let’s put one line on a live dashboard this quarter.

Book a free 30-minute AI review. You'll leave with one task worth automating first — whether or not you work with us.