Sariki Technologies

Data Intelligence as a Service

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.

What DiaaS means

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.

How it works

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.

What you receive

  • End-to-end managed data pipeline — from field collection to dashboard delivery
  • Weekly or monthly clean dataset in your specified format (CSV, JSON, API feed)
  • AI-assisted data quality validation and anomaly alerts
  • Interactive intelligence dashboard with district or programme-level drill-down
  • Quarterly data health review and pipeline optimisation report

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 service

Why 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.