AI & Data Analytics Solutions Built for Indian Businesses
We design and build AI assistants, automation systems, and data dashboards tailored to how Indian businesses work. Our clients use these to handle routine tasks more efficiently, reduce manual data entry, and get cleaner visibility into their numbers — without needing to hire a large in-house technology team.
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Repetitive manual work is a problem your competitors are beginning to solve
Most growing businesses in India lose several productive hours every day to tasks that software can now handle reliably: answering the same customer questions, typing invoice data into accounting software, preparing reports from multiple spreadsheets, going through lead lists one by one, and drafting routine correspondence.
The technology behind this — large language models like GPT-4, Claude, and open-source alternatives — has become considerably more capable and affordable over the past two years. Businesses that begin building with these tools now will have a working advantage over those that wait. We help companies understand which tasks are genuinely worth automating, build the right system for their situation, and support it after it goes live.
Support Automation
Handle common customer queries automatically, at any hour, in Hindi or English.
Document Processing
Extract data from invoices, KYC documents, and contracts without manual re-entry.
Business Dashboards
All your key numbers in one view, updated automatically from your existing systems.
Custom AI Assistants
Built on your own content and processes, hosted privately on your infrastructure.
Eight services across AI development and data analytics
Every engagement is led by engineers who have delivered production systems, not prototypes. All projects include team training, a documented handover, and three months of support after go-live.
AI Chatbots and Virtual Assistants
Chatbots connected to your own content — product details, service FAQs, policy documents, standard operating procedures — so answers are drawn from your material rather than a generic model. Deployable on WhatsApp, your website, Slack, or Microsoft Teams.
- Customer support and initial lead engagement
- Hindi, English, and major Indian regional languages
- Transfers to a human agent when needed
Document Processing and Data Extraction
Automated reading of invoices, GST documents, identity submissions, bank statements, and contracts. Extracted data is structured and can be sent directly into Tally, Zoho Books, or your ERP — removing the manual re-entry step entirely.
- Invoice processing and KYC document handling
- Contract and clause identification
- Direct posting to Tally, Zoho, and SAP
Business Intelligence Dashboards and Reports
A single dashboard combining data from Tally, your CRM, advertising platforms, GA4, and other sources. Updated automatically, with scheduled email summaries for management. No more waiting for the monthly numbers to be compiled by hand.
- Sales, finance, and operations monitoring
- Automated weekly or monthly reports by email
- Mobile-accessible view for management
Predictive Analytics and Machine Learning
Forecasting and scoring models trained on your historical data — for demand planning, sales prioritisation, credit assessment, and identifying customers likely to churn. Models are tested, documented, and updated periodically as your data grows.
- Sales volume and demand forecasting
- Customer retention risk scoring
- Credit and fraud risk assessment
AI-Powered Workflow Automation
Connecting AI reasoning to the tools your team uses daily — through Zapier, n8n, or direct API integration. Email sorting, lead routing, draft proposals, and scheduled reports can all be handled without constant manual intervention.
- Email processing and CRM record updates
- AI-drafted proposals and standard replies
- Alerts and summaries to Slack or Teams
Search, Summarisation, and Text Analysis
Semantic search across your internal documents, call recordings, and email correspondence. Automatic summaries of meetings, contracts, and customer feedback — useful when you have more information than your team can read through.
- Internal knowledge base search
- Meeting and call notes
- Customer feedback analysis and categorisation
Computer Vision and Image Analysis
Image-based inspection, document OCR, object detection, and visual search — for manufacturers, retailers, and service businesses. Can run in the cloud or on a local device at a production site or warehouse.
- Production line quality inspection
- Identity document and form OCR
- Visual product matching
Data Engineering and Pipeline Development
Consolidating and cleaning data from your existing systems — Tally, ERP, CRM, ad platforms — into a single reliable source. The data foundation that most AI and reporting projects require before anything more sophisticated can be built on top.
- Connecting Tally, ERP, and CRM data sources
- Cloud data warehouse implementation
- Scheduled and real-time data pipelines
AI Strategy and Advisory
A two-week structured assessment of your operations, identifying where AI investment is likely to produce measurable returns and where it is not. Delivered as a prioritised plan with realistic effort and cost estimates for each item on the list.
- Current process and data assessment
- Prioritised list of AI opportunities
- 12-month implementation plan with budget estimates
How this works across different types of businesses
The following examples are from actual client projects. Numbers are approximate and shared with the clients' permission.
D2C Brand — Customer Support Automation
For a personal care brand based in Delhi: an AI assistant on WhatsApp handles order tracking, return requests, and product questions. The large majority of queries reach a resolution without involving a support agent.
CA Firm — Invoice Entry Automation
For a CA practice in Noida: AI reads vendor invoices from PDFs and photos, validates GST details, and creates draft entries for a junior to review before posting to Tally. A process that previously occupied most of a working day now takes a fraction of that time.
3PL Company — Order Volume Forecasting
For a third-party logistics company in Gurgaon: a machine learning model predicts order volumes by delivery zone for the week ahead. Operations managers use the forecast to schedule vehicles and staff more reliably than was possible with manual estimation.
Education Company — Lead Qualification
For an education technology company in Bangalore: an AI assistant on WhatsApp answers course questions, qualifies incoming enquiries, and books demo sessions into the sales team's calendar. Salespeople now spend more of their time on calls with genuinely interested prospects.
Diagnostic Chain — Report Summaries
For a chain of diagnostic centres: AI prepares plain-language summaries of lab reports for patients alongside the clinical report. Staff report fewer follow-up calls from patients who previously found the technical report difficult to understand.
Packaging Manufacturer — Visual Quality Inspection
For a packaging manufacturer in Faridabad: cameras on the production line feed images to a vision model that identifies surface defects before products are packed. Customer returns and internal rejection rates have both come down since deployment.
NBFC — Loan Document Processing
For a non-banking finance company: AI extracts and cross-validates information from KYC submissions, income documents, and bank statements. The time from document submission to credit decision has been reduced considerably.
Software Company — Sales Call Analysis
For a software company's sales team: AI transcribes every sales call, compares the conversation against the agreed sales framework, and drafts the CRM entry automatically. Salespeople spend more time in client conversations and less on administrative follow-up.
Law Firm — Contract Drafting Assistance
For a law firm: an AI assistant trained on the firm's existing document library produces first drafts of standard agreements including NDAs, service agreements, and lease contracts. Lawyers review and finalise rather than drafting from a blank page.
How a CA firm in Delhi reduced manual data entry by more than half
NC & Associates
A CA practice with 22 staff serving over 380 SME clients. Junior accountants were spending most of their working day on invoice data entry, leaving little time for higher-value work.
The Situation
Five junior staff members were each spending five to six hours daily typing invoice information — vendor names, GST numbers, line items, and tax breakdowns — from PDFs and photographs into Tally. Errors required correction time. Senior staff spent a disproportionate part of their day reviewing data entry rather than advising clients. Taking on more clients would have required hiring more juniors, which the billing economics of the practice did not support.
What We Built
A document processing pipeline: invoices arrive by WhatsApp or email and are read by a vision AI model that extracts the relevant fields. The extracted data is validated against GST portal records and presented to a junior staff member on a review screen. The reviewer approves or corrects each entry — typically in under a minute. Anything the system rates as uncertain is flagged clearly for manual attention before any entry is posted.
Technology Used
OpenAI GPT-4 Vision · Python (FastAPI) · PostgreSQL · Tally Connector · WhatsApp Business API · Hosted on AWS Mumbai (ap-south-1)
A practical stack, chosen for Indian business conditions
We do not have commercial partnerships with any tool vendor. We recommend what is most appropriate for the specific problem, budget, and data environment — which varies from one project to the next.
From first conversation to a working system
A repeatable process that works for clients new to AI and for those with previous project experience. No surprises on scope, timeline, or cost.
Initial Discovery
A 45-minute call to understand your operations, identify the specific problem, and assess what data you have to work with. We document what we learn and share a written summary with a preliminary cost and timeline estimate — at no charge, regardless of whether you proceed with us.
Proof of Concept
A working demonstration built on a sample of your real data. The aim is to show you how the AI handles your specific content and edge cases — not a scripted presentation — so you can make a go or no-go decision based on what you actually see.
Build and Connect
Development of the full system and integration with your existing tools — Tally, CRM, WhatsApp, ERP. We hold a demonstration every Friday throughout this phase with time to raise questions and request adjustments before the next sprint.
Pilot and Calibrate
The system runs alongside your existing process with a small team. We measure accuracy against the agreed targets, gather feedback, and make adjustments before opening to the full team. Nothing goes live before the pilot confirms it is ready.
Live Operation and Support
Full deployment with a monitoring dashboard tracking the agreed metrics. We continue to adjust and retrain the system as your data, volume, and requirements develop over the months following launch.
Off-the-shelf software, an internal team, or an external partner
All three are legitimate approaches. The right choice depends on your specific situation. We are willing to tell you honestly if one of the alternatives would suit you better.
| What matters | Veylon Custom AI | SaaS Tools (off-shelf) | Build In-House |
|---|---|---|---|
| Setup time | 4–8 weeks | Days to weeks | 6–18 months typically |
| Upfront cost | ₹2–15 lakh fixed price | Minimal | Substantial team cost |
| Ongoing cost | ₹15–50k/month | Scales with seats or usage | ₹6–12 lakh+/month |
| Trained on your data | Yes — on your content | Generic baseline only | Yes, if built correctly |
| Your data stays yours | Private deployment option | On vendor servers | Yes |
| Customisation | Built to your workflow | Limited configuration | Full, if resourced |
| Tally / Zoho / SAP integration | Included | Varies by product | If built |
| Hindi & Indian language support | Hindi and 9+ languages | Often limited | If built |
| DPDP compliance alignment | Addressed by design | Depends on vendor | If prioritised |
| You own the code | Yes — fully | No — vendor lock-in | Yes |
Your business data is not shared with any AI provider for training purposes
The most common concern we hear when businesses first consider AI is straightforward: what happens to their data? It is a reasonable concern, and one we address through specific technical and contractual measures rather than general reassurances.
- API-only access. We use the commercial API versions of OpenAI, Anthropic, and Google — not the consumer-facing chat applications. API terms explicitly state that submitted data is not used for model training.
- Zero-retention configured. Where the platform supports it, we configure data retention to the minimum required for the service to function.
- India-region hosting. Data is processed and stored on AWS Mumbai or Azure Central India infrastructure, keeping your customer data within the country.
- DPDP-aware by design. Consent flows, deletion capability, and audit logs are addressed from the start of a project, not added later.
- On-premise option for regulated sectors. For financial services, healthcare, and government clients, we deploy open-source models entirely within your own infrastructure so no data leaves your network.
ISO 27001
Aligned controls
DPDP Act
India-ready
SOC 2
Process aligned
End-to-end
Encryption
Questions we hear most often before a project starts
If your question is not here, write to us directly — we respond the same working day.
Book a free call and find out what is worth automating in your business
The call takes 45 minutes. We go through your current processes, identify where AI is likely to provide genuine value, and are direct about where it is unlikely to be worth the investment at this stage. You receive a written summary afterwards, regardless of what you decide.