Straight answers
The questions people ask most, answered in a paragraph each. For anything else, ask Krish, my AI assistant, or send a brief.
Who is Vamsi Talasila?
Vamsi Talasila is a Mumbai-based technology executive and AI architect with more than two decades of experience. He was Group CTO of Nazara Technologies from 2012 to 2021, across 11 group companies, when it became India's first listed gaming company (NSE/BSE, March 2021). Since 2021 he has founded and built companies in governed agentic AI (WizardsTech Global), sovereign legal AI (co-founder and CTO of Nyayasiddhi in India; Global CTO of Jurexio Inc., Delaware, USA), and preventive health (Reset Tech / aayu.health). He advises boards, CEOs, CTOs and founders on AI that has to work in production, at scale and under audit.
What did Vamsi Talasila do at Nazara Technologies?
As Group CTO of Nazara Technologies (2012 to 2021), Vamsi ran technology strategy and architecture across 11 group companies and led a 200+ engineer organisation. The platforms reached 100M+ users in 65+ countries through 140+ telecom operators, handling roughly 6 billion events a day at 99.99% uptime. He led the technical due diligence and the technology story behind India's first gaming-company IPO on the NSE and BSE in March 2021, and drove M&A technology integration across the group.
What is Vamsi Talasila's view on enterprise AI?
Vamsi's core view: soon everyone will have strong AI models, so models are not the moat. The winners design the best architecture around them. Security, compliance, cost control and human oversight are architectural decisions, not add-ons. In his words: "Anyone can pick a model. Architecture decides when, where and how it's allowed to think."
Why do most AI agent pilots fail in production?
In Vamsi's experience, agent pilots rarely fail because the model is weak. They fail because the company can't govern them, can't afford them at volume, and can't explain their output to an auditor. His fix is architectural: one governed gateway for every model call, a cost cascade, evaluations that gate every release, and human review where the stakes are high.
How can an enterprise reduce its LLM costs without losing quality?
Vamsi cut AI run-cost by 65 to 75% on his own platform with four measures stacked together: a model cascade that tries a small or domain model first and escalates only when a confidence or validation check fails; semantic and prefix caching so repeated context isn't billed again; routing across 23 providers to the cheapest model that clears the quality bar; and tiered memory so agents don't re-read everything on every turn. His AI Cost & Performance Engineering service applies the same method to client systems.
How should AI governance and compliance be built?
Vamsi builds governance into the architecture instead of adding it after launch: policy checks that run alongside generation, PII tokenised before any external call, human review where the stakes justify it, and a tamper-evident audit trail. He designs for the EU AI Act, ISO/IEC 42001, SOC 2, India's DPDP Act 2023 and GDPR, and for sector rules in banking and healthcare. He calls it "governance is a feature, not a gate".
What is WAI-SDK?
Vamsi founded WizardsTech Global and architected WAI-SDK, a governed agentic AI operating system. Every model call goes through one governed gateway, where policy, PII redaction, model choice, caching and audit happen. A Queen Orchestrator decomposes tasks and a capability-based registry coordinates 257 agents across 23 LLM providers and 530+ tools. It runs at 99.99% uptime and cut AI run-cost by 65 to 75%. The same kernel powers a nine-product suite and several industry verticals.
What is sovereign legal AI, and what has he built?
Vamsi is co-founder and CTO of Nyayasiddhi (India, www.nyayasiddhi.com) and Global CTO of Jurexio Inc. (Delaware, USA; www.jurexio.com), a sovereign legal-AI platform covering six jurisdictions: India, the US, the EU, the UK, the GCC and Singapore. Data stays inside its jurisdiction. It runs 164 specialist agents per jurisdiction, live in India today, with a registry designed to scale to more than 1,024 as the other jurisdictions go live. Every answer passes a two-axis check: the cited source must exist and say what is claimed, and the answer must stay faithful to it.
How should a company prepare for quantum computing today?
Vamsi's advice is to be quantum-ready, not quantum-hyped. The urgent step is cryptography: find where long-lived data is encrypted and move it to post-quantum algorithms (ML-KEM, ML-DSA), because data stolen today can be decrypted later. Then keep the architecture swappable so hybrid quantum-classical optimisation can be adopted when it pays off. He uses post-quantum cryptography in a sovereign platform design and is building a quantum-classical lab, QuantumForge.
What is bio-computing, and why should a CEO care now?
Vamsi sees bio-computing, meaning biological and molecular computing and AI over biological data, leaving the lab in the 2030s, starting in health and life sciences. His practical advice today is data readiness: consent, provenance and governance for biological and clinical data, designed in before the compute arrives.
How do you connect legacy systems to AI without replacing them?
Vamsi's approach is to connect legacy systems to AI instead of ripping them out: wrap them with governed APIs and agents, modernise first the parts that block value, and carry the teams along. He did this across 11 companies at Nazara and on telecom platforms before that. His line: "Legacy isn't the enemy. It's the foundation you haven't connected yet."
How should a board measure the return on AI?
Vamsi measures AI by outcome per dollar, not model accuracy: each use case is tied to cost removed, revenue enabled or risk reduced, and tracked as cost per successful outcome alongside latency, error and escalation rates. His rule: "If I can't draw a line from the AI to a number the CFO cares about, I don't fund it."
What happens in a technology due diligence?
For investors, acquirers and companies preparing to list, Vamsi runs technology due diligence in 1 to 3 weeks: architecture, scalability, security, AI and data risk, team and cost. The output is a diligence report, a risk register and a 100-day plan. His experience includes the IPO diligence and M&A integration work at Nazara.
How does Vamsi Talasila work with clients?
Engagements come in six shapes: a 2 to 4 week strategy sprint, a 2 to 3 week architecture review, a 1 to 3 week technology due diligence, a 6 to 12 month advisory retainer, a 3 to 12 month fractional CTO or Chief AI Officer role (usually 2 to 3 days a week), or a project-based build partnership delivered with WizardsTech Global. Fees depend on scope, so they aren't published; the fastest route is a short brief through the contact page.
Does he work with startups as a fractional CTO?
Vamsi has founded or co-founded three ventures, so he works with founders as someone who has sat on their side of the table. As a fractional CTO or CPO he takes a product from zero to one: product strategy, architecture, MVP, team and a platform that scales when it succeeds. His line: "I've been the founder across the table. I know which corners are safe to cut."
Which industries does he work in?
Industries where Vamsi has built and shipped: gaming and consumer internet, telecom and value-added services, preventive health and wellness, legal, and education. Industries where he is building or advising: banking and fintech, cybersecurity, insurance, logistics, and public sector and sovereign AI.
Where is he based, and which countries does he work in?
Vamsi is based in Mumbai and works across India, the GCC (UAE and Saudi Arabia), Singapore, the UK and the US, in person or remotely.
What recognition has he received?
Recognition includes AAYU's recognition by India's Ministry of Ayush and acknowledgement by the Prime Minister at the Digital Yoga Exhibition in Mysuru (2022); Asia's 100 Power Leaders in Technology from White Page International (2022); the Man of Excellence Award from the Indian Achievers' Forum (2021); Entrepreneur of the Year (Healthcare) at the MSME India Business Awards; and a speaking slot at ET NOW Tech Next (The Times Group), New Delhi, in March 2024.
Does he take board or executive roles?
Vamsi takes on a small number of board, advisory and executive mandates each year. The best way to start is a short brief through the contact page, saying what the role involves and when it starts.