We are building the ultimate Jugaad for GPUs as we don't want to pay for tokens or GPUs on the cloud for testing our agents. 5x 4GB GPUs connected to a 4 core, 16GB machine. This should give me ample room to run qwen or Llama. 😎✌🏻

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India AI Impact Summit starts today. AI pilots are easy. AI in production is hard. 2026 will separate experimenters from operators. #IndiaAISummit2026 #ClarityFirst

Republic Day always makes me reflect on how much systems matter — not just in governance, but in business and society. Proud to be building in this ecosystem and contributing, in our own way, to a stronger digital India 🇮🇳. #RepublicDay

The next decade won’t be won by adopting more tools - but by building systems that scale trust & decisions together. Read more: https://t.co/OyxdZvD81S #BFSI #Vision2026 #FinTech #AIinFinance #ClarityFirst

India’s BFSI transformation is entering a new phase - resilience, regulatory agility & faster decision-making are now boardroom priorities. Grateful to share my views as part of the #Elets BFSI Vision 2026 Series. 👇

No resolutions. Only direction. Welcome to 2026 ⚡

Built. Learned. Grew. Goodbye 2025 — let’s go. 🚀✨

Enterprises don’t need another vendor, they need a trusted guide. We're building ourselves to be just that…!! #ClarityFirst

We didn’t start THQ to sell tools. We started it to solve problems. Whether it’s a CIO fighting ballooning cloud costs or a CISO worried about ransomware—our role is to simplify complexity. That’s why THQ is positioned at the intersection of AI, Cloud, and Cybersecurity.

Observability ≠ monitoring Monitoring tells you what broke. Observability tells you why it broke. Enterprises still confuse the two—and it’s costing them downtime, customers, and revenue. At THQ, we help enterprises design observability strategies that scale with complexity.

We’ve seen companies throw lakhs into AI pilots, to discover the real bottleneck isn’t the model. It’s the mess feeding the model. Before you talk AI, fix: - your data quality - your data lineage - your data ownership - your integrations AI is only as smart as the data it eats.

Enterprises don’t have an AI problem. They have a data hygiene problem. Everyone wants AI automation. But if your input data is incomplete, inconsistent, or sitting in 12 silos… AI won’t automate your process — it’ll automate your nonsense.

If your AI strategy starts with “What can we automate?”, flip it to: 👉 “Where are we wasting the most human hours?” That’s where ROI lives. #AI #startup

The hype promises transformation. Reality demands integration, governance, security, and patient iteration. At THQ, the projects that succeed are the ones that start with one painful problem — not “AI everywhere.”

99% of AI posts on LinkedIn sound like magic. 99% of enterprise AI projects fail bcz reality isn’t magical. Everyone talks about AI like it’s a silver bullet. In reality, Enterprises struggle with: - messy data - legacy workflows - unclear ownership - unrealistic expectations

But here’s the surprising part: enterprises want partners who’ve walked this journey. They respect battle scars, not polished pitches. If you’re a founder in enterprise tech—don’t hide the struggle. Share it. It’s what builds trust. #startup

Leaving a stable corporate role to build THQ was the hardest decision I’ve made. From Dell to Dynatrace, I had comfort and predictability. As a founder, it’s been the opposite—chaos, uncertainty, and long cycles.

Do you remember when you joined X? I do! #MyXAnniversary

The biggest theme at #GFF2025: AI is no longer optional for financial services. The challenge isn’t vision — it’s execution. That’s exactly what @Clarity2Cloud is helping fintechs solve.