Vamsi Talasila
Technology & AI Advisory · Mumbai · working globally

AI that survives production, scale and audit.

I'm Vamsi Talasila. For more than two decades I've built the part of a system nobody sees in the demo: the part that decides whether a platform holds at a hundred million users, and whether AI is safe to put in front of a regulator. Today I help boards, CEOs and CTOs get that part right, and carry the systems and people they already have into AI, quantum-safe and next-generation computing.

CostPerformanceGovernance & complianceArchitectureScaleQuantum-ready
Vamsi Talasila in a navy blazer, outdoors
Ex-Group CTO · Nazara

Technology behind India's first gaming-company IPO, 2021

The living architecture · many models, one governed gateway RequestApproved outcomeStopped by policy
2 decades+building and running technology platforms
100M+users on platforms I scaled, in 65+ countries
~6Bevents a day at 99.99% uptime
1stgaming-company IPO in India, NSE & BSE, 2021
200+engineers led across 11 group companies
257governed AI agents across 23 model providers
65–75%lower AI run-cost on my own platform
6legal jurisdictions on one sovereign AI platform

Where the work has run

  • Nazara Technologies
  • WizardsTech Global
  • aayu.health
  • QX Lab AI
  • AVA Connect
  • IIMX
  • MediConnect
What I believe

From my field notes on enterprise AI that survives production, scale and audit.

Everyone will soon have strong models. The companies that win will have the best architecture around them. Security isn't a firewall you add. Compliance isn't paperwork after launch. Cost control isn't just a cheaper model. These are design decisions. Get them right and cost, accuracy, scale and control improve together. Anyone can pick a model. Architecture decides when, where and how it's allowed to think.
Vamsi Talasila
The moat

Six design decisions any organisation can build on

Whatever the industry, the same six decisions separate AI that pays from AI that stalls. The top is what a CEO buys; the middle is what I design; the base is what most advisers skip.

What the board buysThe moat: lower cost, faster growth, managed risk

Cost

Model cascades, caching and FinOps, so AI spend grows slower than usage.

65–75% lower AI run-cost

Performance

Latency and quality designed in, with evaluations that gate every release.

Evals before every launch

Governance & compliance

EU AI Act, ISO/IEC 42001 and DPDP by design, human review where it matters, full audit.

Governance in the kernel

Architecture

One governed gateway for every model call. Swap models by configuration, not code.

257 agents · 23 providers

Scalability

Event-driven platforms built to hold the next tenfold jump without heroics.

100M+ users · ~6B events a day

Future-readiness

Post-quantum cryptography now, and an architecture ready for quantum and bio-computing.

Quantum-safe by design
The human bridgeLegacy systems and the teams who run them, carried into AI, quantum and bio-computing one step at a time.
How I work

Five steps, one workflow proven before anything scales

  1. Listen

    Your goals, your constraints, and the P&L line the board will judge.

  2. Audit

    Architecture, data, cost and compliance posture, measured rather than assumed.

  3. Architect

    The target design, the trade-offs, and what not to build.

  4. Prove it on one workflow

    Ship one high-value workflow, with evals and a cost baseline.

  5. Scale and hand over

    Roll out, train the team, and leave them owning it.

Where AI goes next

2026–2036, and the proof already in hand

I'm not predicting this future from the outside. The bottom of each column is something I've already built or am building now.

2026–2028 · now

Agents reach production

  • Governed agents replace pilots
  • AI run-cost becomes a CFO topic
  • Regulation moves from guidance to enforcement
Already builtA 257-agent governed AI operating system, 65–75% cheaper to run
2028–2031

Small, sovereign, quantum-safe

  • Owned small models go mainstream
  • Hybrid quantum-classical pilots
  • Post-quantum migration is mandatory
Already builtNyayasiddhi and Jurexio, a sovereign legal-AI platform: six jurisdictions, small models, post-quantum cryptography
2031–2036

The autonomous enterprise

  • Humans govern by exception
  • Bio-computing leaves the lab
  • Provenance and audit become product features
Already buildingMulti-omics precision health at Dirghayu, on 100M-user scale experience
Industries

Where I've built, and where I advise

Separating the two is what makes "any industry" believable.

Recognition
  • 2024
    Speaker, ET NOW Tech NextThe Times Group · New Delhi, 21 March 2024 · as CTO, QX Lab AI
  • 2022
    AAYU recognised by India's Ministry of AyushAcknowledged by the Prime Minister at the Digital Yoga Exhibition, Mysuru, International Day of Yoga
  • 2022
    Asia's 100 Power Leaders in TechnologyWhite Page International
  • 2021
    Man of Excellence AwardIndian Achievers' Forum · for outstanding professional achievement and contribution to nation building
  • Award
    Entrepreneur of the Year (Healthcare)MSME India Business Awards · Industry Live, with Zee Business
Asia's 100 Power Leaders in Technology 2022 certificate, White Page International Man of Excellence Award 2021 certificate, Indian Achievers' Forum Receiving Entrepreneur of the Year (Healthcare), MSME India Business Awards Prime Minister Narendra Modi at the AAYU stand, Mysuru, 2022
Latest thinking
Start a conversation

If your AI works in the demo and worries you in production, let's talk.

I take on a small number of board, advisory and executive mandates each year.