DataVolt builds custom data applications that connect your databases, APIs, and files into one reliable process — with the calculation accuracy your business decisions depend on.
Your CRM has the sales data. Your database has the transactions. Your finance team has the Excel. Your ops team has the CSV exports. And someone has to manually stitch it all together — every week, every month, every quarter.
The real risk isn't just the time lost. It's the calculation errors that slip through quietly, and the decisions made on numbers nobody can fully trust.
We translate your business rules and data sources into a reliable, repeatable application. No code needed from your end — ever.
We start by understanding where your data lives — databases, APIs, files, or a mix — and exactly what your business rules require. Every calculation, every edge case, documented.
We connect your data sources — live databases, third-party APIs, file uploads — and build an application that pulls, processes, and calculates with precision. One run, correct output.
Your team operates the application independently. As your business rules change or new data sources are added, we update it. You scale, we keep pace.
Whether your data lives in a database, a third-party API, an Excel file, or all three — DataVolt builds the application that processes it reliably.
Multi-tier, role-based commission structures pulling live sales data from your CRM or database — calculated automatically, every period.
Split revenues across partners, distributors, or agents with complex attribution logic connected directly to your transaction database.
Dynamic pricing engines with discount rules, volume tiers, and margin floors — fed from your product catalog API or database in real time.
Pull usage data via API, apply your rate cards and thresholds, and generate reconciled billing outputs — without a single manual step.
Connect to multiple data sources simultaneously — ERP, bank feeds, CRM — and match, flag, and resolve discrepancies automatically.
Complex slab-based, retroactive, SKU-level scheme calculations — whether the source is an Excel upload, Tally export, or a live database.
From HR analytics to FMCG reconciliations — here's what DataVolt has delivered.
An HR consulting firm was rebuilding the same Excel analysis from scratch for every client — capping how many clients they could serve.
A mid-size FMCG distributor needed to classify bank transactions across costs, payments, and sub-categories. Payments arrived via multiple UPIs — to the company, sales team, and receivables — making reconciliation complex and slow.
An astrology tech company needed visibility into sales orders, partial transactions, and the ROI of digital product marketing campaigns — with no reliable analytics infrastructure in place.
A social media startup needed to understand why users were churning and what differentiated their retained users — to make targeted product and UX improvements.
A handloom fabric brand needed a way to find visually similar fabrics from a large swatch library — to help designers and brands discover replacements for out-of-stock items.
We build on proven, enterprise-ready technology — not low-code tools that break at scale.
Whether it's a commission process in Excel, a billing workflow stitched across three APIs, or a reconciliation that costs your team two days every month — in 30 minutes, we'll show you exactly what a DataVolt application would look like.
No commitment. No sales deck. Just an honest conversation.
Most businesses aren't failing at AI because of the model. They're failing because their data is scattered, dirty, and unstructured. DataVolt fixes the foundation first — then helps you identify where AI actually creates value.
Businesses rush to buy AI tools or commission AI models — only to find that the output is unreliable, the results don't make sense, or the tool simply can't connect to their actual data.
The bottleneck is almost never the AI. It's always the data underneath it — fragmented, inconsistent, and not structured for machine consumption.
Before any AI can work reliably for your business, four things need to be true about your data.
We don't start with the AI layer. We start with the data layer — and work up. Every stage builds on the last.
Map every data source, assess quality, identify what's missing or unreliable.
Build clean pipelines, structured storage, and unified connectors across your sources.
Identify which processes in your business are genuinely AI-ready — and which aren't yet.
Integrate the right AI layer — classification, forecasting, anomaly detection, or LLM — on top of clean data.
These are the AI applications that make real, measurable difference for mid-market businesses in India — grounded in the verticals we work with.
Automatically classify bank transactions, invoices, or orders into cost categories, payment types, and sub-buckets — with human review only for exceptions.
FMCG · Finance · DistributionPredict demand at SKU and channel level using your historical sales, seasonal patterns, and external signals — to optimise inventory and reduce stockouts.
D2C · FMCG · RetailFlag billing irregularities, reconciliation mismatches, or unusual sales patterns before they become disputes — in real time across your data pipeline.
Finance · Ops · SalesAsk questions about your data in plain language and get structured answers — no SQL, no pivot tables. Connect your warehouse to an LLM layer.
Leadership · Finance · OpsExtract structured data from unstructured sources — PDFs, invoices, contracts, delivery challans — and feed it directly into your data pipeline.
Procurement · Legal · FinanceIdentify customers or users at high churn risk before they leave — based on behavioural patterns in your CRM, usage, and transaction data.
D2C · SaaS · SubscriptionsThe AI consulting space is full of firms that will sell you a model before you have the data to support it. We won't. Our job is to help you get real ROI from AI — and that sometimes means telling you what not to do first.
Here's what we stand for:
Our AI Readiness Assessment is a structured conversation — not a sales pitch. We map your data, identify genuine AI opportunities, and tell you honestly what needs to be fixed first.
45-minute call · No commitment · Written summary included