Data-derived intelligence,
built for the signal.
Datavyas turns transactions, sessions, and events into operational intelligence. We go deepest in two domains where the data is richest and the decisions are most expensive — ecommerce and gaming.
- SKU-2841Dairy · Milk 1LReorder +14%
- SKU-1190Bakery · LoafMarkdown 25%
- SKU-0772Produce · TomatoHold inventory
Every event is a signal. Most of them never get read.
Operators run on intuition. Teams fly blind on data they already have. Whole industries set strategy on aggregate dashboards while the underlying signal — transaction by transaction, session by session, action by action — is generated and immediately discarded. Datavyas is the layer that turns it on.
One data layer. Many decisions.
The same transaction stream feeds forecasting, market intelligence, loyalty, and pricing. Built once, compounding across every question commerce can ask.
Forecasting & prediction
Demand, retention, churn, lifetime value, conversion. Granular, calibrated, production-grade — at the SKU, the session, or the individual user.
Market & competitive intelligence
Anonymized, aggregated behavioral signal turned into category share, segment maps, and benchmarks. Built from data, not surveys.
Identity & lifecycle
Anonymous events become recognized people. Cohorts, segments, journeys, decay curves.
Decisioning & live-ops
Offers, placements, interventions, and experiments — automated where it pays.
Two domains. Both built on signal.
We focus where data is the asset and decisions are expensive. Ecommerce — the operating system of modern retail. Gaming — the richest behavioral telemetry on earth. The same intelligence spine serves both.
Gaming intelligence
Player behavior, retention and churn prediction, monetization analytics, and live-ops decisioning. The behavioral signal stack the largest studios run — built for teams that don't have a 200-person data org.
Ecommerce intelligence
Demand forecasting, market intelligence, retail media, and private-label identification. The operating system top retailers use to turn shelf data into a separate profit line.
We don't sell software. We build assets.
Datavyas is data-centric by construction. The intelligence layer is co-created with the operators who supply the signal — which means every partner owns a piece of the moat.
Connect
Read directly from your existing systems — POS, OMS, CRM, telemetry, game servers. No rip-and-replace. Encrypted, governed, auditable.
Model
Forecasting, segmentation, and decisioning tuned to your taxonomy and your players. Live within weeks, not quarters.
Monetize
Operational wins compound into a second revenue line — market intelligence, decisioning, and downstream products built on the signal.
Globally proven. Locally translatable.
Data-intelligence businesses operate at margins the industries they serve cannot. The pattern repeats across financial services, gaming, retail, and media — anywhere a signal stream meets a decision worth getting right.
Bloomberg Terminal annual revenue — financial intelligence as infrastructure.
Global gaming industry size (2024). Margins in the studios that read the signal best.
Kroger 84.51 operating profit — retail intelligence at scale.
Typical ROI on AI prediction systems in operationally complex businesses.
Digital wallet users across eSewa, Khalti, IME Pay — a behavioral data layer waiting to be activated.
Nepal's retail market — ~95% of it currently operates without analytics.
Forecasted annual intelligence subscriptions per vertical — brands, studios, operators.
Forecasted Datavyas revenue by Year 5 — conservative case across all specializations.
Forecast ranges derived from current market sizing, published global benchmarks for data-intelligence categories, and conservative adoption assumptions.
“Asset-light and margin-rich.”
— Stuart Aitken, CEO of 84.51 (Kroger's data subsidiary)
The largest companies in their industries don't win on product anymore. They win on the data their product generates. Datavyas is built to help operators capture that economic surface — before someone else does it to them.
Built by people who have shipped this.
Datavyas was founded by operators with five years of production experience in AI/ML applied to high-stakes operational decisions — including demand forecasting deployed across a 700+ store retail chain, and behavioral intelligence pipelines for esports broadcast telemetry.
We are not a generalist consultancy with an AI deck. We have shipped these models against real P&L. We know what breaks at production granularity, what survives a load spike, and what customers will and won't pay for. Every line of the platform is a decision someone made because the previous version cost real money.
The signal is already there.
If you operate a business that generates rich data — and want to see what it's already telling you — we'd like to talk.