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Intelligence,
Engineered for Impact

Bringing together the erstwhile L&T Smart World business, ParadigmIT and AM Intelligence Labs, the company combines established systems integration experience with AI engineering, technology development and infrastructure capabilities. This convergence creates a foundation for addressing some of the most complex challenges in public service delivery.

AM Intelligence Labs
AI compute and data centre infrastructure
ParadigmIT
Agentic platforms and AI products
L&T Smart World, an LTTS company
Systems integration across critical infrastructure

The Foundations of AMI Paradigm

Engineering the Next Generation of Public Systems

By combining its domain experience, established presence in public services and critical infrastructure and growing portfolio of proprietary AI solutions, AMI Paradigm aims to help governments and public institutions adopt AI in a secure, sovereign and scalable manner.

AMI Paradigm’s ambition is to enable AI driven public service ecosystems where intelligent platforms and AI agents can support governance, automate workflows, improve operational decision making to enhance service delivery.

AMI Paradigm has built and deployed technology solutions across the public services ecosystem spanning urban governance, revenue systems, digital forensics and defence.

This experience has built a deep understanding of the operational complexities of public institutions, the environments in which governments work and the demands of delivering solutions at population scale.

AMI Paradigm aims to become a strategic technology partner for public services across the Global South, helping governments and public institutions adopt AI in a secure, sovereign and scalable manner.

By combining experience in public service delivery with the capabilities of AI, the company seeks to help build more intelligent, responsive and citizen centric public systems.

25+
Smart cities and technology programmes
300M+
Lives impacted
55M+
People reached by early warning systems

Our Approach

Actionable Agentic AI

01

Embed

Our engineers work inside your operations for three to four months and learn the real workflow, not just the documented one.

02

Model

Your entities, rules, approval chains and government orders become an ontology and knowledge graph, written with your officers.

03

Act

Agents reason over that graph and act within set guardrails and tolerance limits, grounded in your rules.

04

Approve

An officer approves every consequential action. Nothing is sent automatically, and every step is logged.

Sovereign by default
Your data stays inside your boundary: on-premise, air-gapped or in-country cloud.
Faster each time
Every deployment is reusable. The next police unit or tax office starts 70–80% pre-built.
Outcome first
We start from data you already hold and show the result on systems you have already paid for.
Leadership

The Team

Anil Kumar Chalamalasetty
Anil Kumar Chalamalasetty
Chairman
Sridhar Gadhi
Sridhar
Gadhi
MD
LinkedIn
Alliances

Global Partner Ecosystem

Vendor-neutral by design: we bring the right OEM for the outcome and stand behind the integrated system.

Google
Google
Gemini Centre of Excellence
Google Cloud, Gemini and Vertex AI for education, agritech and workplace productivity programmes.
Microsoft
Microsoft
Cloud & productivity
Azure and the Microsoft stack for hybrid public-sector estates and enterprise integration.
NVIDIA
NVIDIA
Accelerated compute
GPU platforms, DeepStream and inference tooling behind our vision analytics and AI factory work.
Cisco
Cisco
Networking
Routing, switching and secure networking across our city, defence and data-centre programmes.
Palo Alto Networks
Palo Alto Networks
Cybersecurity
Next-generation firewall and security platforms for SOC, NOC and critical-infrastructure protection.
Dell · HPE
Dell · HPE
Infrastructure
Compute, storage and edge infrastructure for on-premise, air-gapped and data-centre deployments.

Bring Us Your Vision. We’ll Build and Run It with You.

One accountable partner, with your data kept inside your boundary.

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