17th Edition · Category 03 of 31

The AI Innovation Award

Core AI is where the model itself is the innovation — not an application that happens to call one. For teams building foundation models, agentic systems, retrieval architectures, inference at the edge and the MLOps that keeps any of it running in production.

Judged by an independent panel of 250Ceremony 18 February 2027Venue Hotel Ashoka, New Delhi
Independent jury
250

Academics, scientists, officials, investors

Innovations evaluated
4,500+

Across seventeen editions

AI winners, 16th edition
21

Enterprise and startup tracks

Running since
2008

India’s longest-running innovation award

Before you enter

Three AI categories. This is the one about the model.

Most nominations that fail here fail because they were in the wrong category. Read across before you write anything.

You are here

Innovation in Core AI

The AI itself is the innovation — the model, the architecture, or the engineering that makes it run.

Agentic AIFoundation ModelsRAGEdgeMLOps

This category

Adjacent category

Innovation in Functional AI

AI applied to a business function that almost every company has, judged on that function’s own results.

SalesMarketingCXOperationsFinanceSupply Chain
Adjacent category

Innovation in Industry AI

AI shaped around one sector’s regulation, physics or workflow.

BFSIHealthRetailTelecomManufacturingAgriculturePublic Sector
Eligibility

Who should enter

  • Teams that have trained, fine-tuned or distilled a foundation model for a real workload
  • Agentic systems that plan and act across multiple tools, not a simple wrapper around a single chat model
  • Retrieval-augmented systems that solve a genuine accuracy or up-to-date information problem
  • Edge and on-device inference where latency, cost or privacy forced the design
  • MLOps and evaluation platforms that make models ready for production and easy to monitor

You do not need to have trained your own model. Fine-tuning, distillation, retrieval architecture and inference engineering all qualify. What does not qualify is a thin layer over a commercial API.

If the novelty is in a business function such as sales, CX, finance or operations rather than the AI itself, Functional AI is the better fit. If it is shaped around one sector’s rules or workflow, look at Industry AI instead.

Assessment

What the jury looks for

  1. Problem definition & market opportunityWhether the innovation solves a real problem, backed by evidence and a measurable impact on its target audience.
  2. InnovativenessNovelty and uniqueness — new technology, functionality or business model — measured against what already exists, including IP.
  3. Market potential & impactSize and growth of the addressable market, competitive landscape, and scalability across geographies.
  4. Social impact & sustainabilityContribution to society and the environment, including social responsibility and the UN Sustainable Development Goals.

These are the same four criteria — problem definition, innovativeness, market impact and social/sustainability impact — used to assess every category. Read the full evaluation criteria.

The panel

Who reads your nomination

Nominations are assessed by an independent jury, not by the organisers. Jurors are matched to the categories where their expertise lies. These are among those who evaluate AI entries.

Dr. Aloknath DeDr. Aloknath DeFormer Chief Technology Officer, Samsung R&D Institute India
Prof. Julie WallProf. Julie WallProfessor of AI & Advanced Computing, University of West London
Dr. Ashutosh ModiDr. Ashutosh ModiAssistant Professor, Computer Science & Engineering, IIT Kanpur
Dr. Avik SarkarDr. Avik SarkarSenior Research Fellow, Big Data and AI, Indian School of Business
Prof G C NandiProf G C NandiFull Professor, IIIT Allahabad
Prof C Krishna MohanProf C Krishna MohanProfessor & Dean, Computer Science & Engineering, IIT Hyderabad
Mr. Jibu EliasMr. Jibu EliasResearch and Content Head, INDIAai, National AI Portal
Prof. Anshul KumarProf. Anshul KumarProfessor, Computer Science & Engineering, IIT Delhi

Eight of roughly 250. The full panel spans the IITs, IIMs, IIITs, the Indian School of Business, the Department of Science & Technology, MeitY, CERT-In, ICMR, the ITU, GSMA and firms including Khosla Ventures and Blume Ventures. See the full jury panel.

On the night

AI winners at the 16th edition

Eighteen of the twenty-one AI and generative AI recognitions, photographed at the ceremony in New Delhi.

CAMB.AI receiving the Innovation in AI award at the 16th Aegis Graham Bell Awards
CAMB.AIInnovation in AI
Acsia Technologies receiving the Gen AI AI Infra, Orchestration and Platforms award at the 16th Aegis Graham Bell Awards
Acsia TechnologiesGen AI — AI Infra, Orchestration & Platforms
The Boston Consulting Group receiving the Gen AI AI Infra, Orchestration and Platforms award at the 16th Aegis Graham Bell Awards
The Boston Consulting GroupGen AI — AI Infra, Orchestration & Platforms
ITC Infotech receiving the Gen AI AI Infra, Orchestration and Platforms award at the 16th Aegis Graham Bell Awards
ITC InfotechGen AI — AI Infra, Orchestration & Platforms
Tata Consultancy Services receiving the Gen AI Autonomous Software and SDLC award at the 16th Aegis Graham Bell Awards
Tata Consultancy ServicesGen AI — Autonomous Software & SDLC
Decimal Point Analytics receiving the Gen AI BFSI, Wealth and Compliance award at the 16th Aegis Graham Bell Awards
Decimal Point AnalyticsGen AI — BFSI, Wealth & Compliance
Canara HSBC Life Insurance receiving the Gen AI BFSI, Wealth and Compliance award at the 16th Aegis Graham Bell Awards
Canara HSBC Life InsuranceGen AI — BFSI, Wealth & Compliance
Jio Platforms receiving the Gen AI CX, Sales and GTM Intelligence award at the 16th Aegis Graham Bell Awards
Jio PlatformsGen AI — CX, Sales & GTM Intelligence
Entomo receiving the Gen AI Ops, IT and Digital Workplace award at the 16th Aegis Graham Bell Awards
EntomoGen AI — Ops, IT & Digital Workplace
VF Worldwide (VFS) receiving the Gen AI Ops, IT and Digital Workplace award at the 16th Aegis Graham Bell Awards
VF Worldwide (VFS)Gen AI — Ops, IT & Digital Workplace
Emergys Solutions receiving the Gen AI Industry Vertical AI award at the 16th Aegis Graham Bell Awards
Emergys SolutionsGen AI — Industry Vertical AI
UpscaleAI receiving the Innovation in AI award at the 16th Aegis Graham Bell Awards
UpscaleAIInnovation in AI
BOT IT Services receiving the Gen AI AI Infra, Orchestration and Platforms award at the 16th Aegis Graham Bell Awards
BOT IT ServicesGen AI — AI Infra, Orchestration & Platforms
SandLogic Technologies receiving the Gen AI AI Infra, Orchestration and Platforms award at the 16th Aegis Graham Bell Awards
SandLogic TechnologiesGen AI — AI Infra, Orchestration & Platforms
MyFi Fintech receiving the Gen AI BFSI, Wealth and Compliance award at the 16th Aegis Graham Bell Awards
MyFi FintechGen AI — BFSI, Wealth & Compliance
Liquidmind receiving the Gen AI CX, Sales and GTM Intelligence award at the 16th Aegis Graham Bell Awards
LiquidmindGen AI — CX, Sales & GTM Intelligence
Surge Datalab receiving the Gen AI Industry Vertical AI award at the 16th Aegis Graham Bell Awards
Surge DatalabGen AI — Industry Vertical AI
Emvo AI receiving the Gen AI Industry Vertical AI award at the 16th Aegis Graham Bell Awards
Emvo AIGen AI — Industry Vertical AI
Precedent

AI winners, 16th edition

Twenty-one recognitions across AI and generative AI, in both tracks. This is the standard your nomination is read against.

CAMB.AIInnovation in AIEnterprise
Tata Consultancy ServicesGen AI — Autonomous Software & SDLCEnterprise
The Boston Consulting GroupGen AI — AI Infra, Orchestration & PlatformsEnterprise
ITC InfotechGen AI — AI Infra, Orchestration & PlatformsEnterprise
Acsia TechnologiesGen AI — AI Infra, Orchestration & PlatformsEnterprise
Reliance Jio InfocommGen AI — CX, Sales & GTM IntelligenceEnterprise
Jio PlatformsGen AI — CX, Sales & GTM IntelligenceEnterprise
Decimal Point AnalyticsGen AI — BFSI, Wealth & ComplianceEnterprise
Canara HSBC Life InsuranceGen AI — BFSI, Wealth & ComplianceEnterprise
EntomoGen AI — Ops, IT & Digital WorkplaceEnterprise
VF Worldwide (VFS)Gen AI — Ops, IT & Digital WorkplaceEnterprise
Emergys SolutionsGen AI — Industry Vertical AIEnterprise
UpscaleAIInnovation in AIStartup
SandLogic TechnologiesGen AI — AI Infra, Orchestration & PlatformsStartup
BOT IT ServicesGen AI — AI Infra, Orchestration & PlatformsStartup
CloudanglesGen AI — Autonomous Software & SDLCStartup
Hyprbots SystemsGen AI — BFSI, Wealth & ComplianceStartup
MyFi FintechGen AI — BFSI, Wealth & ComplianceStartup
LiquidmindGen AI — CX, Sales & GTM IntelligenceStartup
Emvo AIGen AI — Industry Vertical AIStartup
Surge DatalabGen AI — Industry Vertical AIStartup

Winners from the 1st to the 16th edition are listed in the winners archive.

The route

What happens after you submit

  1. Stage one · now
    Nomination registration

    Register your company and category through the nomination process, then complete the detailed nomination form and processing fee.

  2. Stage two
    Jury presentation

    Present the innovation to the jury and take questions. Jurors score each entry against the four evaluation criteria and rank it within its category.

  3. Stage three
    Star Certification

    Nominees are also assessed for AGBA Innovation Star Certification, an independent maturity rating alongside the category judging.

  4. Stage four
    Finalists announced

    Once every category has been evaluated, finalists are announced on the website ahead of the ceremony.

  5. Stage five
    Award ceremony

    Winners are honoured on 18 February 2027 at Hotel Ashoka, Chanakyapuri, New Delhi.

Questions

Before you write your nomination

Do we need to have trained our own model to enter?

No. Fine-tuning, distillation, retrieval architecture and inference engineering all qualify. What matters is that the AI work itself is the innovation, rather than a thin layer over a commercial API.

How do I choose between Core AI, Functional AI and Industry AI?

Ask where the novelty lies:

  • Core AI — the novelty is in the model or the AI architecture itself: a foundation model, an agentic system, or a retrieval or inference approach.
  • Functional AI — the AI is built for a function that almost every company has, such as sales, CX, finance or operations, and the same approach would work in any industry.
  • Industry AI — the design only makes sense because of one sector’s regulation, physics or workflow, such as BFSI, health, retail, telecom, manufacturing, agriculture or the public sector.

Enter once — splitting a single innovation across categories weakens both entries.

Can a startup compete against Tata Consultancy Services and BCG?

Enterprise and startup entries are recognised in separate tracks. In the 16th edition, nine of the twenty-one AI recognitions went to startups.

Who actually reads the nomination?

An independent jury panel, not the organisers. For Core AI that means researchers and practitioners from institutions such as IIT Kanpur, IIT Delhi, IIT Hyderabad, IIIT Allahabad, the Indian School of Business, INDIAai and industry R&D.

What do winners receive?

Recognition at the 17th Aegis Graham Bell Awards ceremony on 18 February 2027 at Hotel Ashoka, Chanakyapuri, New Delhi, and a place on a roll of honour running back to 2008. Nominees may also be assessed for AGBA Innovation Star Certification.

How do I submit a nomination?

Through the nomination process, which sets out the stages, the supporting material required and the current edition’s dates.

17th Edition

Put your model in front of the panel

Nominations for the AI Innovation Award are read by an independent jury of academics, scientists and practitioners. Bring the numbers you can defend.