DataVolt helps businesses turn their data into three kinds of value — stories that build authority, applications that automate processes, and foundations that make AI work.
Most businesses want to jump to AI. Some want to automate first. Very few think about publishing their data. We think the order matters — and here's why.
Data Stories comes first because it forces the most valuable discipline: finding what's actually interesting in your data. That clarity makes your applications more focused and your AI investments more targeted.
From original research reports to FMCG reconciliation apps to HR analytics — here's what DataVolt has delivered for real clients.
Turned a D2C client's 200K return records into a published benchmark report on return rates by ZIP code cluster and product category — generating 40+ inbound leads for the client.
Replaced a manual Excel-based HR attrition process for a consulting firm — from 2 days of prep per client to a one-click, upload-and-run application.
Built an automated transaction classification system for a mid-size FMCG distributor — handling multi-UPI payment routing and bank reconciliation without manual intervention.
Tell us what you're working on — a dataset, a manual process, or an AI ambition. We'll tell you honestly which service fits, in what order, and what it would cost.
No commitment · No sales deck · Just an honest conversation
DataVolt turns your proprietary business data into original research reports, benchmark studies, and data-backed articles — published under your brand, impossible to replicate with AI or generic content.
There's a category of content that the best B2B companies — Stripe, Shopify, Semrush — use to dominate their markets. They publish original research from their own data. Reports that become industry benchmarks. Articles that get cited for years.
Most companies can't do this because they don't have the analytical capability to find the story inside the data, and most content agencies can't do it because they don't understand data.
DataVolt sits exactly at that intersection.
Three steps. You provide the raw material. We provide everything else.
Give us access to a dataset — transaction records, survey responses, usage logs, customer data, operational data. It doesn't have to be clean. We handle that. We sign NDAs, we keep it confidential, always.
We analyse the data, look for patterns, anomalies, benchmarks, and surprising findings. Then we decide the angle — the specific insight that's interesting enough to publish and share. This is where the real work happens.
We write the report, article, or study — with your brand on it. Data visualisations, key findings, methodology, executive summary. Ready to publish on your blog, LinkedIn, or as a gated lead magnet.
Each format serves a different marketing goal — from thought leadership to lead generation to PR.
These are representative examples of the kind of angles we find — based on data types we commonly work with.
Not a content agency that learned about data. The difference matters enormously in practice.
Most content agencies will interview your team and paraphrase what they say. We go to the data directly, run the analysis ourselves, and find insights your own team may have missed.
Send us a description of your data — what it covers, how many records, what business you're in. In 48 hours we'll come back with 2–3 story angles and a rough scope.
"We had two years of return data sitting in our warehouse. DataVolt found a geographic pattern our entire team had missed — and turned it into a report that became the most-shared piece of content we'd ever published."
— Head of Marketing, D2C Brand (India)NDA signed before we see any data · 48hr turnaround on story angles
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. And someone has to manually stitch it together — every month, every quarter.
The real risk isn't the time lost. It's the calculation errors that slip through, and the decisions made on numbers nobody can fully trust.
We translate your business rules and data sources into a reliable, repeatable application.
We understand where your data lives — databases, APIs, files — and exactly what your business rules require. Every calculation, every edge case, documented.
We connect your data sources and build an application that pulls, processes, and calculates with precision. One run, correct output, every time.
Your team operates the application independently. As your rules change or new sources are added, we update it. You scale, we keep pace.
Whether your data lives in a database, API, Excel, or all three — DataVolt processes it reliably.
Multi-tier, role-based commission structures pulling live data from your CRM or database — calculated automatically, every period.
Split revenues across partners 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 or database in real time.
Pull usage data via API, apply your rate cards, and generate reconciled billing outputs — without a single manual step.
Connect to ERP, bank feeds, CRM simultaneously — match, flag, and resolve discrepancies automatically.
Complex slab-based, retroactive, SKU-level scheme calculations — from Excel upload, Tally export, or a live database.
From HR analytics to FMCG reconciliations.
An HR consulting firm was rebuilding the same Excel analysis from scratch for every client — capping how many they could serve.
A mid-size FMCG distributor needed to classify bank transactions across costs, payments, and sub-categories — with multi-UPI routing making reconciliation complex.
A handloom fabric brand needed to find visually similar fabrics from a large swatch library — for designers finding replacements for out-of-stock items.
Whether it's commissions in Excel, billing stitched across three APIs, or a reconciliation that costs your team two days every month — in 30 minutes we'll show you 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 only to find the output is unreliable. The bottleneck is almost never the AI. It's always the data underneath — fragmented, inconsistent, and not structured for machine consumption.
Before any AI can work reliably, 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.
Map every data source, assess quality, identify what's missing or unreliable.
Build clean pipelines, structured storage, and unified connectors.
Identify which processes are genuinely AI-ready — and which aren't yet.
Integrate the right AI — classification, forecasting, anomaly detection, or LLM.
AI applications that make real, measurable difference — grounded in the verticals we work with.
Automatically classify bank transactions into cost categories, payment types, and sub-buckets — with human review only for exceptions.
FMCG · Finance · DistributionPredict demand at SKU and channel level using historical sales, seasonal patterns, and external signals.
D2C · FMCG · RetailFlag billing irregularities, reconciliation mismatches, or unusual patterns before they become disputes.
Finance · Ops · SalesAsk questions about your data in plain language and get structured answers — no SQL, no pivot tables.
Leadership · Finance · OpsExtract structured data from PDFs, invoices, contracts, and delivery challans — fed into your data pipeline.
Procurement · Legal · FinanceIdentify customers at high churn risk before they leave — based on behavioural patterns in your 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 real ROI — and that sometimes means telling you what not to do first.
Our AI Readiness Assessment is a structured conversation — not a sales pitch.
45-minute call · No commitment · Written summary included