Capital Numbers Named Runner-Up at India Cross-Border Excellence Awards 2026

Capital Numbers Infotech Limited has been named Runner-Up in the AI & ML category under Service Exports at the Payoneer India Cross-Border Excellence Awards 2026, organized by Payoneer in association with The Economic Times.

The recognition was announced at the awards ceremony held in New Delhi on September 25, 2026. It marks another milestone in our journey as an AI-native digital engineering company, helping businesses adopt AI, modernize technology, and build scalable digital solutions.

Celebrating India’s Cross-Border Businesses

The Payoneer India Cross-Border Excellence Awards 2026 recognize Indian businesses expanding into international markets and contributing to the country’s growing cross-border economy.

The program builds credibility and visibility through:

• Evaluation by an independent jury of industry experts
• Recognition among India’s leading cross-border businesses
• National visibility across The Economic Times and Payoneer channels
• Editorial features, interviews, and social media visibility
• An exclusive awards gala dinner in New Delhi

Being named Runner-Up in the AI & ML category under Service Exports is an important milestone for Capital Numbers as we continue expanding our work with businesses across international markets.

The awards considered a broad range of business factors, including growth, market reach, innovation, employment impact, and digital infrastructure. For us, this recognition represents the collective progress of our teams, our continued focus on international delivery, and the trust clients place in us to solve complex technology challenges.

AI is an important part of that journey, alongside our broader capabilities in software engineering, cloud, data, platforms, and digital product development.

Turning AI Ideas Into Real Business Solutions

Businesses are increasingly using AI to build smarter products, automate workflows, work more effectively with data, and improve customer experiences. But moving from experimentation to dependable business use requires more than a model or standalone AI tool.

At Capital Numbers, we combine AI engineering with capabilities across product development, cloud, data, DevOps, enterprise platforms, and integration to help move AI from isolated experiments into real business environments.

Our  AI development services include:

• AI agents and intelligent automation
• RAG, enterprise knowledge systems, and copilots
• Generative AI applications and LLM integrations 
• Intelligent document processing and AI-enabled workflows 
• Model evaluation, security, and governance

The focus is on making AI useful within real business environments by connecting it with the applications, data, infrastructure, security controls, and workflows that organizations already depend on.

We also use AI across the software development lifecycle to improve engineering efficiency. Our engineers and delivery teams remain responsible for technical decisions, output review, quality, security, and alignment with business requirements.

This combination of AI and digital engineering helps clients move beyond isolated experiments toward practical, secure, and production-ready AI adoption.

InstaRAG: An Example of Applied AI Engineering

One example of this approach is InstaRAG, our reusable RAG engineering accelerator.

It helps businesses connect approved enterprise content with generative AI so users can access relevant, grounded information through natural-language questions.

InstaRAG can be adapted around enterprise content sources, access controls, workflows, integrations, security requirements, and governance policies.

It reflects the direction many businesses are taking with AI: moving beyond experimentation and focusing on how AI can work securely with existing data and systems in real operating environments.

A Message from Our CEO

“This recognition reflects the expertise and commitment our teams bring to solving real business challenges through AI and digital engineering. As more companies move from AI experiments to real-world adoption, our focus remains on building practical, secure, and scalable solutions that create lasting value.”

Mukul Gupta, Founder and CEO, Capital Numbers

A Milestone Made Possible by Our People

This recognition belongs to the people behind the work.

Across Capital Numbers, our engineers, AI specialists, architects, data professionals, designers, QA teams, DevOps engineers, project managers, delivery leaders, and business teams contribute to the solutions and client relationships that support our international growth.

Their work spans much more than individual technologies. It involves understanding complex business problems, collaborating across teams and geographies, maintaining engineering standards, and helping clients turn ideas into dependable digital products and platforms.

We are equally grateful to our clients and partners. Their trust gives our teams the opportunity to solve challenging problems, explore new possibilities, and continuously improve how we deliver technology solutions across global markets.

We thank every member of the Capital Numbers team, along with our clients and partners, for being part of this milestone.

What’s Ahead

This recognition is an encouraging milestone, but it also reflects the direction in which our work continues to evolve.

As businesses move from AI experimentation toward wider adoption, we will continue strengthening our capabilities across AI, software engineering, cloud, data, platforms, and enterprise technology.

Our focus remains practical: helping clients identify valuable opportunities, build the right technology around them, and move successful ideas into secure, reliable, and scalable production environments.

At the same time, we will continue investing in our people, engineering practices, and international delivery capabilities as Capital Numbers grows across global markets.

We are grateful for this recognition and excited about the opportunities ahead.

If you are exploring how AI can support your next product, workflow, or business initiative, let’s discuss your AI strategy.