Rajneesh De, Group Editor, CXO Media explores AI development companies including Onlygood, QualiZeal, Teachmint, Apexon, Procol, Agora and their journeys as some of India’s top agentic AI developers across multiple domains.
In 2026, the country has emerged as a global hub for AI Agent Development. A large number of indigenous companies are developing tools focusing on GenAI, conversational AI as well as autonomous decision making. Several indigenous catalysts like a thriving tech ecosystem, highly skilled workforce, and a competitive innovation landscape are tailoring AI agent-based solutions that are helping
Indian AI Agent Development companies to flourish.
Key Features of AI Agent Development
Autonomous Decision-Making – AI agents are enabled to analyse data and act on that data without constant human intervention.
Context Awareness – AI agents develop the ability to understand environment, user needs, and adapt accordingly.
Multi-Agent Collaboration – Multiple AI agents can interact, share knowledge, and achieve collective goals through a collaborative approach.
Integration with LLMs & APIs – AI agents are increasingly leveraging advanced AI models and external APIs for smarter outputs.
Scalability & Customization – AI agents can be tailored for specific domains and subsequently scaled for enterprise use.
Top 6Agentic AI Tool Development Companies in India
Onlygood
Onlygood leverages cutting-edge technology, including AI and data analytics, to guide organizations on their sustainability journey. Onlygood is a leader in sustainable business practices, making sustainability a competitive advantage for its clients. Onlygood’s business model revolves around end-to-end sustainability solutions powered by an AI-driven digital platform. The platform automates processes such as measuring, managing, and achieving sustainability goals, ensuring that businesses can integrate sustainability seamlessly into their operations.
Onlygood’s key priorities include:
- Simplified Measurement: Build a platform for actionable ESG footprint measurement.
- User Experience: Deliver an intuitive interface for an effortless sustainability journey.
- AI-Powered Co-Pilot: Develop a Sustainability Co-Pilot to guide clients through their goals.
- Real-Time Analytics: Implement predictive analytics for emissions reduction and resource
optimization. - Smart Automation: Integrate sustainability data with ERP systems for seamless reporting.
- Tech Security: Ensure robust security and compliance for client data.
Their revenue strategy is focused on offering scalable, subscription-based pricing for their platform, making sustainability solutions accessible to businesses of all sizes while driving long-term profitability through efficiency and compliance. Onlygood has been instrumental in helping businesses reduce their environmental impact through real-time analytics, emissions reduction strategies, and resource optimization Onlygood plans to continue developing innovative solutions, such as a Sustainability Co-Pilot and integration with ERP systems, to accelerate the adoption of sustainability practices across industries.
“We aim to shape a future where sustainability and profitability go hand in hand, driving success for our clients and the planet,” claimed Shwetam Sinha, Chief Growth Officer, Onlygood.
QualiZeal
Founded in Dallas, QualiZeal Inc. is a global leader in digital quality engineering services and has its Global Delivery Center (GDC) in Hyderabad. QualiZeal’s business model revolves around delivering AI-driven quality engineering solutions for enterprises across 12+ industries. Its proprietary QMentisAI platform utilizes AI/ML to optimize testing processes, accelerate time-to-market, and reduce costs. Additionally, its QualiCentral platform offers customizable test automation and reporting tools, enabling businesses to streamline quality assurance. Revenue is driven by tailored solutions for startups, SMEs, and Fortune 500 companies, addressing the diverse needs of its client base. QualiZeal is expanding its footprint in India by establishing additional hubs beyond Hyderabad. The company is investing in advanced training facilities like the Grace Hopper Centers of Excellence to foster top-tier talent and drive innovation.
“We are on a trajectory to achieve unparalleled growth in the Quality Engineering services industry,” remarked Pradeep Govindasamy, President & CEO, QualiZeal.
Teachmint
Teachmint is an edtech startup that integrates AI and cloud computing to enhance teaching and learning experiences. It operates on a B2B and B2C model, providing advanced solutions like Teachmint X—an AI-powered Interactive Flat Panel (IFP). The device, coupled with EduAI, an intelligent teaching assistant, streamlines teaching workflows, enabling educators to create lesson plans, manage assignments, and track attendance with minimal effort.
Revenue is generated through direct sales of Teachmint X via platforms such as Amazon, Flipkart, and IndiaMART, as well as through partnerships with institutional clients Teachmint’s flagship product, Teachmint X, is revolutionizing classrooms with cutting-edge features, including a 4K UHD display, real-time annotation tools, and cloud synchronization. “Our AI-driven Innovations Transform Traditional Classrooms into Interactive Spaces,”
claimed Mihir Gupta, Co-Founder and CEO, Teachmint. EduAI’s ability to deliver age-appropriate resources, concise lecture summaries, and instant insights has improved teaching efficiency and student engagement. The platform’s partnerships with schools, colleges, and private institutions have enabled widespread adoption of AI-driven learning tools, even in remote areas. The company plans to further enhance Edu AI & 39s capabilities, making it even more personalized and adaptive to different educational contexts.
Apexon
Apexon specializes in leveraging AI in engineering intelligent enterprises. It launched its Artificial Intelligence Center of Excellence (AI CoE) in Hyderabad that serves as a strategic center for developing next-generation AI solutions across agentic AI, generative AI, data engineering, and intelligent automation. Apexon brings together AI engineers, data scientists, platform architects, and domain specialists. The center focuses on designing and deploying scalable AI systems that help enterprises operationalize artificial intelligence across their technology and business ecosystems. The AI Center of Excellence will play a pivotal role in advancing Apexon’s proprietary AI platforms and accelerators, including AgentRise. This agentic AI platform is designed to orchestrate intelligent AI agents that automate complex enterprise workflows and enable autonomous decision-making.
The center will also drive innovation around AlphaSuite, Apexon’s portfolio of engineering accelerators that help organizations modernize core systems, unlock value from their data, and accelerate digital transformation. Together, these capabilities support Apexon’s vision of engineering intelligent enterprises by enabling organizations to move beyond isolated AI experiments and deploy scalable, production-grade AI solutions that deliver measurable business outcomes.
“Apexon is playing an increasingly important role in helping enterprises move from AI experimentation to enterprise-scale adoption by bringing together advanced engineering platforms, deep domain expertise, and a highly skilled AI workforce,” commented Sriniketh Chakravarthi, Chief Executive Officer, Apexon.
Procol
Procol has launched Clara, its system of AI agents designed to manage procurement and finance operations for enterprises autonomously. The platform executes the full procurement lifecycle, from sourcing and contract negotiation to supplier management, invoicing, and payment processing. This enabling BFSI organizations to optimize spend, streamline vendor operations, and free teams to focus on strategic decision-making that drives business growth. Despite years of digitisation, procurement and finance operations in many enterprises remain heavily dependent on manual coordination across emails, spreadsheets, ERP systems, and siloed tools. This fragmentation slows sourcing cycles, weakens compliance oversight, and limits real-time visibility into enterprise spend.
Clara eliminates these structural inefficiencies by embedding autonomous AI agents directly into procurement workflows. Moving beyond static systems of record, it actively executes procurement operations, runs sourcing events, stimulates supplier competition, enforces compliance protocols, accelerates vendor onboarding, and resolves invoice bottlenecks in real time.
“Everyone is talking about how AI will reshape the world, but a more useful question is what won’t change,” said Gaurav Baheti, Founder & CEO, Procol. “Strategic judgment, negotiations, and decision-making in enterprises will always remain human. What will change are the manual workflows that slow teams down. Today, much of procurement still involves collecting quotes, chasing approvals, and matching invoices across fragmented systems. Our system of AI agents removes these operational bottlenecks so procurement leaders can focus on supplier strategy, negotiations, and value creation.
Agora
Agora has launched its Conversational AI agent solutions for Customer Service and Sales & Marketing. These solutions are built on a unified platform designed to solve the technical friction that has kept Conversational AI from true enterprise-grade deployment. Agora’s Conversational AI platform eliminates high-stakes production hurdles by unifying three core technologies into a single, high-performance stack:
Agent Studio: A visual, no-code environment that enables enterprises to rapidly build, test, and deploy sophisticated voice AI agents.
Conversational AI Engine: An advanced orchestration layer that integrates Automatic Speech Recognition (ASR), Large Language Models (LLMs), and Text-to-Speech (TTS) for seamless real-time workflows.
SDRTN (Software-Defined Real-Time Network): Agora’s foundational, globally distributed infrastructure that ensures sub-second latency and reliability.
“By solving the latency and orchestration challenges that have historically limited voice AI, we are enabling companies to finally deploy conversational agents at scale without compromising on the quality of the customer experience,” commented Tony Zhao, Founder and CEO of Agora.
Outbound engagement has historically relied on rigid dialers and scripts that feel impersonal to customers. Agora’s AI Sales & Marketing Agents solve this by bringing conversational intelligence to outreach – powering high-impact use cases. These use cases include debt collection, payment processing, outbound lead qualification, interactive surveys, and real-time event polls through natural, real-time voice interactions.
