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SERVICE / DATA MODERNIZATION & AI

The intelligence factory for scalable AI

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Operationalize transformation with trusted data foundations and packaged AI use cases

Trusted data foundation, repeatable AI outcomes

AI without trusted data is just expensive guesswork.

  • Most AI programs fail because the data that feeds the model is ungoverned, siloed, or not AI-consumable. Converting that ambiguity into a trusted, governed foundation makes every AI use case repeatable and scalable.
  • Intelligence is the engine. The data platform is the fuel. We builds both. Ensuring time-to-value and adoption by embedding talent where delivery friction is highest.
Trusted data foundation (Fabric)

Governed interfaces and reusable patterns that make data interoperable and AI-consumable.

Packaged use-case starter packs

Industry-contextual AI use-case packs to convert AI ambiguity into repeatable, sellable outcomes with a clear reuse path.

Governed AI pipelines + RAG

Production-grade AI pipelines with retrieval-augmented generation. Governed, observable, and built to compound value with every deployment.

INDUSTRY SOLUTIONS

Each track is a pre-packaged, agent-accelerated data and AI play.

AI use case factory

What
Packages AI ambiguity into repeatable, industry-contextual use-case packs with a clear reuse path that scales across functions.
Why
Every engagement compounds rather than starts from scratch.

AI-ready data engineering

What
Builds governed, interoperable, AI-consumable data platforms, migrating legacy estates and engineering reusable pipelines across batch, streaming, and API integrations.
Why
Eliminates the fragmented, siloed estates that block every enterprise AI program.

AI squads (with FDE)

What
Embeds AI delivery talent directly into client programs, ensuring time-to-value and adoption by placing expert squads where delivery friction is highest.
Why
Ensures time-to-value and adoption and closing the gap between AI strategy and enterprise execution.  

BUSINESS OUTCOMES

Faster scaling from pilot to production

Packaged use-case starter packs compress the pilot-to-production journey across AI programs.

Higher reuse across functions

Governed interfaces and reusable data patterns eliminate costly one-off
builds.

Lower data & AI governance risk

Federated governance, compliance controls, and observable pipelines reduce risk at scale.

Faster time-to-value

AI delivery pods and FDE squads eliminate friction between strategy and execution, accelerating ROI.

Synapt AI

The AI-native suite of platforms and accelerators. The foundation that powers every solution and engagement we deliver.

Purpose-built | Deep Domain | Enterprise Scale

Synapt Context Substrate

The core enterprise-AI context platform that powers intelligent, context-aware operations across the entire Synapt IP suite.

Synapt Autonomous Operations

Runs Telecom network and service operations end-to-end, from order through assurance.

Synapt Data Transformation

AI-powered accelerators that migrate, structure, and modernize enterprise data into a governed, AI-ready foundation.

Synapt Agent Hub

A comprehensive platform to build, catalog, and manage enterprise-grade AI agents across their entire lifecycle.

6,500+ jobs migrated. Zero service disruption.

One AI-powered platform.

A global fintech migrated 6,500+ data processing jobs from legacy Hadoop infrastructure to Google Cloud — with zero service disruption across 400M accounts — using Prodapt's DataStreak.AI.

50% faster migration
30% lower infra costs
65% pipeline performance gain 

Less truck rolls. Fewer repeat visits..

One AI-powered platform.

A leading North American telecom replaced legacy, fragmented field operations with a cloud-native AI/ML platform on Google Cloud. Turning event streams into real-time intelligence at scale.

8% repair call reduction
25% faster revenue realization
$M OPEX savings 

10,000+ locations. Zero spreadsheets.

One AI-powered map.

A leading food distribution company replaced manual territory management with a cloud-native, AI-powered sales map — synced with Salesforce CRM

35% field productivity
70%→95% customer coverage
$250K annual savings

What makes DM&AI distinct

GEM

Wrapper thesis applied to data

Governed interfaces and reusable patterns beat one-off builds. Decouple AI innovation from underlying data complexity without any disruption.

GEM

Productization path

Use-case packs, reusable pipelines, and AgentHub attachment. Every engagement compounds into a delivery asset that scales.

GEM

Partner-powered delivery

Synapt IP + ServiceNow, Salesforce, GCP, AWS, Databricks, Snowflake.

Let’s connect

How can we help?

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