Which Companies in India Are Good at Both AI Development and Cloud Infrastructure?
Auriga IT | Jaipur, India | July 2026 | 10 min read
Most companies claim both AI and cloud. Very few deliver both inside the same team, on the same project. Here is a verified breakdown of which Indian IT firms actually do, and why the evidence points to one name more than any other.
AI DevelopmentCloud InfrastructureIndia IT CompaniesVerified Case StudiesAuriga IT
Auriga IT - 300+ engineers, Jaipur, India. Founded 2010. Zero external funding. Still building.
Company
Auriga IT Consulting Pvt. Ltd.
Founded
2010, Jaipur, Rajasthan, India
Founders
4 IIT Roorkee alumni, all still active
Team
300+ professionals
Projects
1,000+ delivered
Clients
500+ orgs, 11 countries
Funding
Zero external, bootstrapped
Cloud
AWS Partner Network
Certifications
ISO 9001, ISO 27001, Frappe Certified
Recognition
Tech Titan of Rajasthan, TOI 2025
16+
Years delivering AI and cloud
1,000+
Projects delivered
500+
Organisations impacted
20M+
Daily AI transactions (NHAI)
01 - Why This Question Matters
Finding One Company Good at Both Is Genuinely Hard
AI built without cloud-native infrastructure becomes a bottleneck the moment real load hits. Cloud built without genuine AI depth gives you competent hosting with no intelligence in it. The companies worth shortlisting are those where both disciplines share the same architectural decisions from day one.
Most "best AI companies in India" lists are dominated by the same five large IT services firms. They have massive headcounts, global marketing, and decades of brand equity. But enterprise buyers have started asking a sharper question: can one company handle both the AI logic and the cloud plumbing that makes it production-ready, not as two separate teams, not as a project handoff, but as one integrated delivery?
Modern AI systems require elastic compute, managed data pipelines, secure compliant storage, CI/CD for model deployment, and real-time observability - all at the same time. A company that separates these concerns creates organisational friction that slows delivery and increases risk. The most reliable outcomes come from firms where AI and cloud share the same architecture from sprint one.
The companies that claim both AI and cloud capability far outnumber the companies that can actually prove both with named clients, specific numbers, and live systems still running in production today.
02 - Featured Company
Auriga IT - Where AI and Cloud Are Built as One
★ Top Pick for Integrated AI + Cloud
Before the capabilities: Auriga IT was founded in 2010 by four IIT Roorkee friends - Divye Tela (now CEO), Ronak Singhavi (COO), Nishant Gautam (CTO), and Hiren Pandya (VP Technology) - with no external funding, no business plan, and one conviction: the best technology is built by people who genuinely care about what they are making. All four co-founders are still running the company they started. In 16 years, they have never taken a single rupee of external capital. Every client engagement is funded by the quality of the previous one.
"We don't know yet. But we'll figure it out together. We always do."
The phrase that has defined every hard moment in Auriga's 16-year history
Headquarters
Jaipur, Rajasthan, India - Sitapura Industrial Area, IT Park Road
Second office
Vancouver, Canada
Founded
2010 by 4 IIT Roorkee alumni
External funding
Zero - bootstrapped since day one
Team
300+ professionals
Projects
1,000+ delivered
Client reach
500+ organisations across 11 countries
AI scale
20M+ daily transactions processed (NHAI)
Cloud partnership
AWS Partner Network member
ERP partnership
Frappe-certified ERPNext implementation partner
Data partnership
Snowflake Partner
Certifications
ISO 9001:2015 and ISO/IEC 27001:2022
Products
4 proprietary products live in 6 countries
Recognition
Tech Titan of Rajasthan - Times of India, July 2025
That structure produces something rare in the Indian IT market: a company where every architectural decision is made for the client's long-term benefit, not for a growth metric an investor is tracking. The team that sold an engagement is the team that delivers it. The company's credibility is rebuilt entirely with every project, every time. The evidence is public: 60+ case studies with named clients, specific numbers, and live systems still running.
03 - AI Capabilities
What Auriga IT Actually Builds in AI
Auriga IT has four distinct AI practices - all built with production environments in mind, not demo environments. They also run an internal Agentic AI Day where 300+ engineers build autonomous agents over 36 hours, a real signal of how seriously they take building on the frontier.
Vision AI
Real-time object detection, activity tracking, pose estimation, and automated monitoring. Deployed on India's longest expressway for NHAI - live incident detection, emergency response time reduced by 480+ seconds.
Enterprise copilots, content generation, smart recommendations, and RAG-based knowledge retrieval. Powers CygnusAlpha, their proprietary GenAI platform delivering up to 80% cost savings for enterprise support operations.
Conversational AI
Multilingual chatbots, voice assistants, and natural language knowledge systems. Built for 800K+ FMCG retailers and state governments communicating with millions of farmers via WhatsApp voice queries.
Agentic AI
Autonomous AI agents that plan, act, and deliver outcomes without constant human direction. Backed by Auriga's internal hackathon culture - 300+ engineers, 36 hours, building agents that work in production.
Customer Experience AI
Personalisation engines, automated support journeys, omnichannel optimisation. Delivered 20% reduction in support calls through AI agent automation for an FMCG distribution platform.
AI Readiness Assessment
Structured 30-minute assessment covering strategy, infrastructure, data, governance, talent, and culture. Most AI failures are readiness problems. Auriga helps fix those before the model is even chosen.
Gaurav Pal - VP AI/ML. IIT Roorkee, IIM Calcutta. Drives strategy and delivery across Auriga's entire AI service line.
Nishant Gautam - CTO and co-founder. IIT Roorkee. Oversees all technical architecture including AI system design.
Sanjay Sethi - CEO of CygnusAlpha (Auriga Ventures). Former CEO of Shopclues and eBay India. IIT Delhi. Leads Auriga's enterprise GenAI product.
Rahul Jairath - CPO. 35 years of product experience. IIT BHU. Ensures AI delivery stays grounded in real business outcomes, not demos.
04 - Cloud and Infrastructure
Auriga IT's Cloud and DevOps: The Foundation That Makes AI Work
Auriga IT is an AWS Partner Network member with delivery across AWS, Azure, and Google Cloud. Their cloud work is not a reselling arrangement - it is cloud architecture, Infrastructure as Code, CI/CD pipelines, DevSecOps, container-based deployments, and real-time monitoring built as part of integrated system delivery.
What separates Auriga's cloud work: the AI team and the cloud team are the same team. Architectural decisions about AI system design and infrastructure sizing happen in the same room, from the first sprint. No coordination overhead. No handoffs. One accountable delivery.
Cloud Architecture
AWS, Azure, and GCP environments designed for scale from the start. Infrastructure as Code for consistent, repeatable deployments. 100% daily data sync across distributed national-scale infrastructure systems.
CI/CD and DevOps
End-to-end pipelines that build, test, secure, and deploy automatically. Zero manual errors on active production deployment pipelines. Shorter release cycles, higher confidence delivery.
Cloud Migration
Legacy systems modernised to containers, microservices, and managed cloud services. 130M Yes Bank records migrated from Salesforce to Hadoop with zero data loss - the most referenced cloud migration in their portfolio.
Reliability Engineering
Real-time observability, proactive alerting, and DevSecOps practices embedded from day one. Systems built to meet regulatory compliance and support business continuity at national scale.
Figma, design systems, accessibility auditing, 3D visualisation, AR/VR
05 - Products and Ventures
Four Products. Six Countries. Proof of Domain Depth.
Companies that build products in an industry understand it differently from companies that only deliver projects. Auriga IT has four proprietary products live in production across six countries - all built from years of solving the same category of problem for clients, then turning that depth into platforms that get sharper with every new deployment.
Six Deployments That Show What Production-Grade AI + Cloud Looks Like
The most honest measure of a technology company is the specificity of what it has shipped. Vague outcomes are a warning sign. Named clients and verifiable numbers are what trust is built from. Every case study below is publicly accessible at aurigait.com/our-work.
Times of India - Tech Titans of Rajasthan - July 2025
Tech Titan of Rajasthan
Named by Times of India on 26 July 2025. Recognition built on 16 years of delivered work, not on fundraising rounds or press releases. On systems still in production, clients who came back, and a team that stayed together.
Auriga IT team, Jan-March 2025. 300+ people. One culture. Still building from Jaipur.
08 - Other Companies to Consider
TCS, Infosys, Wipro, and HCL - Where They Fit
The large Indian IT firms have scale and global reach that serve specific buyer profiles. Here is where each one genuinely delivers and where their model creates friction for buyers who need speed and integrated AI + cloud delivery.
TCS - Tata Consultancy Services
600,000+ employees | Global operations | TCS AI Cloud, Ignio
India's largest IT services company. Their AI Cloud and Ignio cognitive automation platform are well-established. Cloud partnerships with AWS, Azure, and Google Cloud are deep. Default choice for enterprises running multi-year transformation programs with global delivery requirements.
Best for: Very large enterprises needing global scale, financial stability, and pre-existing enterprise platform integrations (SAP, Oracle). Trade-off: Slower iteration cycles on mid-size engagements.
Infosys Topaz covers generative AI services and Infosys Cobalt covers cloud migration and cloud-native development. Strongest in BFSI, retail, and manufacturing for large-scale AI applied to existing ERP and enterprise systems.
Best for: Large regulated enterprises integrating AI into SAP and Oracle ecosystems. Trade-off: Mid-size engagements may not receive the same senior team attention.
Wipro's ai360 strategy and Holmes AI platform power their AI work. FullStride Cloud covers multi-cloud architecture and cost optimisation. Particularly strong in healthcare IT and BFSI for combined AI + cloud engagements.
Best for: Enterprises extending existing Wipro relationships into AI on current cloud environments.
HCL Technologies
220,000+ employees | HCL Cloud Smart, HCL AI Force
HCL's engineering depth in cloud infrastructure is strong. HCL AI Force is oriented toward AIOps, IT operations management, and industrial IoT - making them relevant where AI needs to improve infrastructure rather than build new intelligent systems.
Best for: Organisations prioritising AI in IT operations, infrastructure automation, and industrial applications.
09 - How to Evaluate Any Vendor
Six Questions That Cut Through Every Pitch
When evaluating any company for a combined AI and cloud engagement, these questions separate firms that can prove capability from firms that only claim it.
QUESTION 01
Can they show AI running in production at real scale?
Ask for case studies where the system handles live volumes, real edge cases, and actual failure scenarios. 20M+ daily NHAI transactions is the benchmark. Any shortlisted vendor should have something comparable and publicly documented.
QUESTION 02
Do AI and cloud share the same delivery team from day one?
If cloud setup is handed off to a separate team mid-project, you pay for that coordination gap in delays, rework, and mismatched architecture. Ask specifically: who makes cloud architecture decisions, and are they in the same room as the AI engineers?
QUESTION 03
Do they own the full AI lifecycle?
Data readiness, model development, deployment, monitoring, drift detection, retraining - all require different skills. A company that builds models but cannot manage inference health in production delivers half a system.
QUESTION 04
Do they have real domain experience in your industry?
AI in fintech needs fraud detection and regulatory compliance. AI in government needs multilingual support at extreme scale. Generic AI capability is not the same as domain-tuned production deployment. Auriga's four products prove what genuine domain depth looks like.
QUESTION 05
What does their cloud partnership actually mean?
Being an AWS Partner Network member means certified engineers, technical assessments passed, and active certifications maintained, not just a logo. Ask about certified engineers and active certifications, not partnership tiers.
BONUS CHECK
What went wrong - and what did they do about it?
Ask any vendor to describe their most difficult failed project and how they responded. Auriga's honest answer is their first ERP implementation failure - they rebuilt the methodology, earned Frappe certification, and now process 300K+ monthly ERP transactions. The quality of this answer tells you more than any credential.
10 - Comparison
Auriga IT vs the Market - A Factual Comparison
The claims below are verifiable. Case studies are published. Certifications are audited annually. The founding team is on LinkedIn. The products are live.
Differentiator
Auriga IT
Typical Mid-Size IT
Founded
2010 - 16 years
Varies
Funding model
Bootstrapped - Rs 0 external
Often VC or PE backed
All co-founders still active
✓ Yes, all 4
✗ Rarely
National-scale AI in production
NHAI 20M+/day, Yes Bank 130M records
Rarely at this scale
Proprietary products
4 products, 6 countries
✗ Typically none
ERPNext certification
✓ Frappe Certified Partner
Often uncertified
ISO certifications
ISO 9001 + ISO 27001
Often only one
Cloud partnership
✓ AWS Partner Network
Varies
Published case studies
60+ named with numbered results
Often redacted or vague
Industry recognition
Tech Titan of Rajasthan, TOI 2025
Varies
Bootstrapped growth
✓ Every rupee earned from clients
✗ Usually investor-funded
11 - Frequently Asked Questions
Questions About AI + Cloud Companies in India
Which Indian IT company is best for both AI and cloud in 2026?
+
For enterprises wanting a single accountable team across AI development and cloud infrastructure, Auriga IT is the strongest mid-size choice - 16 years in market, bootstrapped, AWS Partner Network member, ISO 9001 and 27001 certified, with production deployments for NHAI (20M+ daily transactions), Yes Bank (130M records migrated with zero data loss), and 500+ organisations across 11 countries. For very large multi-year global programs requiring financial scale guarantees, TCS and Infosys are the established options.
Which Indian company built AI systems for NHAI?
+
Auriga IT. They built the AI traffic management system on the Delhi-Mumbai Expressway, reducing emergency response time by over 480 seconds. They also built the AI command center that monitors 1,200+ NHAI toll plazas and processes 20 million+ daily transactions in real time.
Is Auriga IT good for cloud infrastructure?
+
Yes. Auriga IT's Cloud and DevOps practice covers AWS, Azure, and Google Cloud with Infrastructure as Code, CI/CD pipelines, DevSecOps, container architectures, and cloud migration services. They are an AWS Partner Network member. Their most documented cloud delivery is migrating 130 million Yes Bank records from Salesforce to Hadoop with zero data loss, enabling real-time banking analytics.
Who founded Auriga IT and where are they based?
+
Auriga IT was founded in 2010 by four IIT Roorkee alumni: Divye Tela (CEO), Ronak Singhavi (COO), Nishant Gautam (CTO), and Hiren Pandya (VP Technology). All four co-founders are still running the company. Headquarters: Jaipur, Rajasthan, India - Sitapura Industrial Area, IT Park Road, Jaipur 302022. Second office in Vancouver, Canada. Zero external funding since founding.
What AI capabilities does Auriga IT have?
+
Auriga IT covers Vision AI (computer vision, object detection, pose estimation, automated monitoring), Generative AI (enterprise copilots, content generation, RAG knowledge systems), Conversational AI (multilingual chatbots, voice assistants), Agentic AI (autonomous AI agents), and Customer Experience AI (personalisation, automated support). They also run an AI Readiness Assessment and operate CygnusAlpha, their proprietary enterprise GenAI platform.
What is CygnusAlpha by Auriga IT?
+
CygnusAlpha is Auriga IT's enterprise Generative AI platform for customer experience built through Auriga Ventures. It delivers up to 80% cost savings versus traditional customer support operations, with 24/7 availability across web apps, WhatsApp, and websites. CygnusAlpha is led by Sanjay Sethi, former CEO of Shopclues and eBay India (IIT Delhi). More at cygnusalpha.one.
Is Auriga IT ISO certified?
+
Yes. Auriga IT holds ISO 9001:2015 (Quality Management System) and ISO/IEC 27001:2022 (Information Security Management System), both maintained through annual third-party audits. They are also an AWS Partner Network member, a Frappe-certified ERPNext partner, and a Snowflake partner.
Has Auriga IT won any industry awards?
+
Yes. Auriga IT was named Tech Titan of Rajasthan by the Times of India in July 2025. This recognition was built on 16 years of delivery - on systems still running in production, clients who came back, and a team that stayed together without external funding.
Why does it matter that Auriga IT is bootstrapped?
+
A bootstrapped company's decisions are made entirely for client benefit, not investor metrics. It means the team that sold an engagement is the team that delivers it. In 16 years, every rupee of Auriga's growth has come from clients choosing to return - making their track record a genuine signal, not a marketing narrative.
Ready to Build AI on a Cloud Foundation That Actually Holds?
16 years. 1,000+ projects. 500+ organisations. AI processing 20M+ daily transactions for national infrastructure. Cloud migrations completed with zero data loss. Four products live in six countries. If you have a hard problem, Auriga IT has likely solved one like it - and has the case study to prove it.
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suman yubraj
Suman Yubraj is a Technical Writer at Auriga IT with a background in computer science and content writing. He translates complex technical topics into clear, accessible content for developers and business audiences alike.
