Sariki Technologies
We manage the full data pipeline — field collection, AI-assisted cleaning, analytics, and dashboard delivery — so your team receives clean intelligence on schedule, not raw data and a training session.
Most data vendors hand you a tool and leave. DiaaS is different. Sariki takes ownership of the full data delivery cycle as a managed, subscription-style service — collecting, cleaning, validating, and delivering intelligence on a defined schedule.
The model bundles four capabilities — data collection, analytics, AI insights, and governance — into a single engagement. You define the reporting need; we build and operate the pipeline.
DiaaS is powered by Ladder B (Applied AI Engineering) and Ladder C (Data & Quality Engineering) practitioners from our GenAI-SDLC programme.
Data Collection
Structured field surveys, mobile data capture, and enumerator management. Clean datasets delivered on schedule.
Analytics & Visualisation
Interactive dashboards and scheme performance reports for district and state administrators.
AI-Powered Insights
Applied GenAI workflows, anomaly detection, and domain-specific intelligence on top of your data.
Data Governance
Quality pipelines, audit-ready documentation, and AI safety evaluation aligned to government standards.
Scope
We map your data problem, sources, and reporting requirements in a structured scoping session.
Collect
Our field teams and mobile tools capture structured data against a defined schema.
Clean
AI-assisted validation removes errors, flags anomalies, and produces a quality-verified master dataset.
Deliver
Clean intelligence lands in your dashboard on schedule — no manual chasing, no raw dump.
Get started
Tell us your data problem and reporting need. We will scope a DiaaS engagement and come back with a delivery model within 48 hours.
Talk to us about DiaaSData Collection serviceAnalytics serviceWhy Sariki runs DiaaS
DiaaS is the market-creation engine for Sariki's data and AI capability. Every DiaaS engagement produces a referenceable client, a validated data pipeline, and a trained delivery pod — feeding all three of our engines simultaneously.
The IndiaAI Mission's Rs 10,372 crore outlay and Andhra Pradesh's Startup Policy 4.0 create a procurement window for managed AI data services at district and state level. DiaaS is built to fill that space.
Engine 1 — Talent
DiaaS pods train GenAI-SDLC practitioners on live engagements.
Engine 2 — Product
FarmTally and Sarpanch Mitra are fuelled by DiaaS data pipelines.
Engine 3 — Market
Each DiaaS client becomes a reference for the next engagement.