CHAPTER 01 · PHILOSOPHY For founders building margin — not collecting tools.

Own your AI.
Don't rent it.

On Day 1, rented AI is better than private AI at almost everything. On Day 365, for your specific business tasks, private AI is better. On Day 730, it's not close.

Sovereignty as infrastructure. One operator, end to end, no middlemen.

Book 30 min with Meet → See the work
400 → 9KCars / Month · Automobile Ops
350+Telecom Systems Shipped
8 LakhCalls Audited / Day
38 → 25%BPO Attrition Reduction
SCROLL
WHAT WE BUILD · FOUR WAYS

One operator. Four compounding layers.

Expertise. Cashflow. Platform. Passion. Pick one, pick four — every engagement ends with a deployed system, not a deck.

01
EXPERTISE · CORE

Custom Models

I build custom models for your business-specific use case. Fine-tuned on your data. Where the data doesn't exist yet, we synthesise it from your hypothesis and operating reality.

Remember your Day 1 with GPT or Claude — how much context you had to repeat. Compare it to today. Imagine a year of that compounding, but the knowledge stays inside your walls. I build models that self-improve and end up understanding your business better than 99% of employees.

That 1% of employees? They're the gems. No intelligence replaces them — the model just makes them leverageable across the whole company.

On-prem · VPC · air-gapped Fine-tuned LLMs on domain corpora
Open ai.dotsai.in →
02
CASHFLOW · BREADTH

Tools That Save, Grow & Create Margin

Twenty-two things I ship — end to end, one operator, no vendor chain. Pick what moves your P&L this quarter.

AI Agents for business ops Complex data analysis · margin recovery Full product strategy consulting Data architecture for 1M users Web apps iOS & Android apps
Open zeroonedotsai.consulting →
03
PLATFORM · PRODUCT

Infinity Nexus

Home for your employees' dedicated AI agents — built inside ZeroOne, tested with a closed audience for a year before going to market.

The simplest productivity booster you'll deploy this year. Each agent has memory, role-based access, an A2A mesh for agent-to-agent handoff, and alignment scoring so you always know why a decision happened.

A2A mesh & task engine 1 year of closed-audience testing
Open dotsai.cloud →
04
PASSION · ONGOING

1:1 AI Partnership

I teach you how to use the complex parts of AI in the simplest possible way for your world.

Keeping up with AI is hard. You're a founder, an influencer, a business owner — your time is too valuable to read every release note. I sit on your side, weekly, and translate what matters into action you take on Monday morning.

This is the part I'm most passionate about. If the call doesn't leave you with a clearer system than you walked in with — you wasted my time, not yours.

Weekly 1:1 AI office hours Interim AI head for transitions
Open assist.dotsai.in →
WORK · CASES IN PRODUCTION

Shipped. Running. Compounding.

Three engagements currently in production. Each replaced a missing department — not a tool. Landing pages and live references linked below.

CASE 01 · EXPERT FIRM REPORTING · ENTERPRISE

NeoNir

Water-treatment specialist · Vasu Chemical group · Reporting to: Reliance · IOCL · Aarti Industries

A reporting portal that lets a chemical specialist submit field sample analytics to its enterprise clients at Fortune-500 vendor posture — not paper-and-email across three cities.

3 cities → 1Paper chase → unified portal
Fortune-500Client submission grade
6 modulesIn production · Sept 2025
See what we shipped 6 modules
  • Visit Observation Report portal — built for enterprise-client submission, not internal filing
  • Per-system parameter matrix with control limits — out-of-limit readings flagged red
  • Parameter trend charts on every PDF — actual reading vs. min / max control bands
  • Hierarchy-aware recipient ordering — mirrors the client's chain of command, never alphabetized
  • POC consolidation — one plant-wide leadership report, not twelve fragmented field notes
"We used to chase paper forms across three cities. Now every field visit becomes a data point in the same dashboard. We caught issues we didn't know existed." — Nishant Kapadia · CEO, NeoNir (Vasu Chemical group)
STATUS In production
CASE 02 · GLOBAL IT SERVICE FIRM

WORO

Global IT services + 6-brand ecosystem · India & UAE

A full AI operating system for a global IT services firm — custom infrastructure, ad management, and every margin-adjacent workflow end to end.

6 brandsMulti-property AI ops
8 modulesShipped · infra → funnel
360°Ads + content + web + revenue
See what we shipped 8 modules
  • Full AI infrastructure — private models + RAG + agent mesh
  • Ad management across Meta & Google (campaign → closed deal)
  • Content management across all 6 brand properties
  • Multi-brand web design with Meta Ads integration on every landing
  • JamaSuite + WeWork client workflows handled as managed pipelines
  • Web presence: SEO · GEO · AEO with end-to-end event analytics
  • Funnel automation + real-time monitoring — revenue & margin both tracked
  • Email automation — humanised, full-context inquiry replies
"Meet is the Agentic Automation Genius. Myself Being in the IT and Service industry since long but have seen very Few people who solve problem at scale like him. I strongly feel his ability understand and process what we were dictating is Amazing — He ask minimal questions and still deliver exactly what was in my mind." — Harshit Sharma · CEO, WORO
STATUS Live across 6 domains · reference available under NDA
CASE 03 · FINTECH · LOAN DISBURSEMENT

Aamdhanee

Gig-worker lending platform · India

End-to-end loan disbursement for gig workers, running on an isolated private environment — real loans, real disbursements, not a pilot.

1 iterationConcept → live disbursement
100% privateZero data leaves VPC
Live loansActual gig-worker disbursals
See what we shipped 6 modules
  • Web app for the full loan disbursement lifecycle
  • Indian KYC with DigiLocker integration
  • Bank statement analyser — isolated private environment (no data leaves the VPC)
  • Gig-score AI from spending-habit analysis
  • End-to-end AI + human-driven document verification
  • On-ground customer testing & live loan disbursement alongside founders
"The major blocker we had was how to integrate AI-driven bank statement verification and scoring without data leaving our infrastructure and passing all the banking audits. I can't believe Meet executed the whole flow in a single iteration." — Ankur Thakur, CEO · Aamdhanee
STATUS In production · actual loans disbursed · reference + CEO intro available under NDA (Ankur Thakur, CEO)
WORK · NUMBERS THAT MOVED

What the systems actually did for the P&L.

Not hypothetical. Not "benchmarks". Production numbers from live engagements.

400 → 9K
CARS / MONTH
AUTOMOBILE OPS
350+
TELECOM SYSTEMS
SHIPPED
8 Lakh
CALLS / DAY
BPO VOICE AUDIT
38 → 25%
ATTRITION
REDUCTION
10 → 2 min
AUDIT TIME
PER CALL
WORK · THE OPERATING LOOP

How I actually work — five compounding steps.

Not theory. Not a deck. This is the pipeline I run on every engagement, every week.

01 · Ideation

Builder by instinct.

Four to five hours a day in the idea-tinkering loop — GTM angles, user empathy, edge cases. The system you ship is downstream of how clearly you can see the problem.

02 · Product Design

High-ticket consumer reflex.

Nearly three years inside Spinny taught me what high-spend buyers actually expect. Minimum clicks, maximum signal, every step optimised so the next one compounds. That's the bar I design to.

03 · Engineering

Where AI and human handoff.

I run my own training stack and ship a production service every week, solo. Built to hold for 1 user or 1M users — zero downtime, zero overheats, no server bloat. Same code path, same discipline.

04 · Ops · AI Automations

Pre-AI automation reps.

I've been automating operations since 2018 — when "AI" meant Python, scrapers, and rate-limited APIs running on an i3 with 4 GB RAM. Seven-plus years of doing this before it was easy.

05 · Reliable · Human-Free · Profitable Scale

Survival of the system at scale.

Scale isn't can it grow — it's whether the system survives at multiples. Five platforms before ZeroOne ran me through that test, from machinery automation at JSW to a 20× user-scale window at Spinny.

Scale window = the multiple of growth the platform crossed during my tenure. Numbers reflect platform-wide activity, not personal credit.

WHERE WE SHIP

Six regions. Local compliance, global build quality.

The same stack, scoped to the regulator you answer to. Every engagement starts with the compliance map — not an afterthought bolted on six months later.

INDIA · HQ

Built here. Shipped from here.

DPDP-compliant. Rupee-first pricing. Founder on every call from Ahmedabad.

WANT TO ACTIVELY SOLVEFintech · D2C ops · SME transformation

UAE · GCC

Multilingual by default.

PDPL-ready. Arabic + English interfaces. Free-zone entity structures and UAE-hosted infra where the regulator requires it.

WANT TO ACTIVELY SOLVEFamily office · Concierge ops · Trade finance

UNITED KINGDOM

Where the regulator writes the playbook.

GDPR + FCA SS1/23 for financial services. BoE third-party outsourcing alignment. Compliance gates mapped before code ships.

WANT TO ACTIVELY SOLVEFintech · Insurance · Regulated SaaS

UNITED STATES

Fastest regulatory pace.

SOC 2 + HIPAA-aligned builds for regulated verticals. East-coast hours, West-coast product pace, India build cost.

WANT TO ACTIVELY SOLVEHealthcare · Fintech · Enterprise ops

SOUTH AFRICA

Emerging AI. Early adopters.

POPIA-compliant. Banking and insurance modernisation where the stack is still being chosen — not retrofitted.

WANT TO ACTIVELY SOLVEBanking · Insurance · Mining ops

INDONESIA

270M mobile-first users. OJK in the room.

OJK-aligned for financial services. Bahasa Indonesia interfaces. Local payment rail integration as standard — not "next phase".

WANT TO ACTIVELY SOLVEFintech · Super-apps · Gig-economy ops

COMPLIANCE MAPPED INTO EVERY BUILD
DPDP · INDIA GDPR · UK + EU SOC 2 · USA
ENGAGEMENT MODEL

Regional pricing, global build quality.

Three engagement sizes. Six-currency regional pricing so an India build doesn't carry Bay Area overhead — and a UAE build doesn't carry India risk discount.

PILOT · 4 WEEKS

Scoping + first ship

₹4–12L  ·  $5–15K

One bucket, one deliverable, production-ready. You decide continuation only after seeing the output.

BUILD · 12–20 WEEKS

Full system deployment

₹15–60L  ·  $18–75K

Two-to-four buckets wired together. Custom model + margin system + second brain. Runs on your infra.

PARTNER · ONGOING

AI head, fractionally

From ₹3L / $3.5K / mo

Weekly 1:1, quarterly roadmap, continuous retraining, 24×7 lifetime free support — included.

Serving India · UAE · Indonesia · UK · South Africa · USA — each in local currency.
Exact scope and number live on cal.com/meetdeshani.

THE DIFFERENTIATOR

Lifetime free support.

The industry standard is 15–25% of the build cost — billed every year, forever, for "maintenance". ZeroOne charges that number zero. The system we ship is the system we support, for the life of it.

STANDARD AGENCY

15–25% / yr
ANNUAL MAINTENANCE · FOREVER
  • Annual maintenance fees scale with build size
  • Hourly rates for every tweak after launch
  • Rebuild cycle every 18–24 months
  • Vendor lock-in on their stack
  • Cost climbs as the system grows

ZEROONE

0% / yr
LIFETIME FREE SUPPORT
  • No maintenance fee for the life of the system
  • Your infrastructure, your IP, your model weights
  • Continuous retraining included in the partner retainer
  • Open stack — you can hire anyone to fork or extend it
  • Every hour we spend here compounds your moat, not ours

The only way I can ship a system I'm proud of is if I'm still around to fix it.

— Meet Deshani, on why Lifetime Free Support isn't a marketing line

FROM THE FOUNDER

One person. Full stack. Zero middlemen.

I started ZeroOne because I watched founders pay agencies for decks and vendors for rentable tools. Neither gave them a system they owned.

Five years building production systems. Two years shipping AI. One full-stack operator on every call — no account manager translating your problem to an engineer who won't ever meet you.

If we work together, I am the person who scopes, codes, ships, and supports it. HQ in Ahmedabad, plus 7 AI Masters across India, UAE, Indonesia, UK, and South Africa when a project needs specialist reach.

If your first chat with me doesn't leave you with a clearer shape of the system you need — whether you engage us or not — the call was free and I wasted your time, not mine.

FOUNDERMeet Deshani
HQAhmedabad, India
WHATSAPP+91 83200 65658
BOOK A CALLcal.com/meetdeshani
BOOK · ON MEET'S CALENDAR

Pick a time. First call is free.

Thirty minutes, scoping-first. You leave with a shape of the system whether you engage ZeroOne or not — that's the deal.

30-minute scoping call

Calendar not loading? Book directly at cal.com/meetdeshani/30min.

ANSWERS

The questions founders actually ask.

How is ZeroOne different from ChatGPT, Claude, or a generic AI consultant? +

Think about Day 1 with GPT or Claude versus today. Those are tools everyone else also has. We build business-specific systems fine-tuned on your data — so they keep getting sharper with use. Your model, your weights, your moat.

What does "Private AI" actually mean? +

Your data stays in your environment. Your model is yours. No shared inference endpoints, no training on your data by third parties. We build on isolated infrastructure — VPC, on-prem, or air-gapped — when compliance or sensitivity requires it. Aamdhanee's bank-statement analyser runs this way.

Is Lifetime Free Support really real? +

Yes. The industry charges 15–25% of build cost in annual maintenance — every year, for the life of the system. ZeroOne charges that number zero. We ship it, we support it, we retrain it. The partner retainer covers strategy and continuous improvement; support itself is included at zero marginal cost. The only way I can ship a system I'm proud of is if I'm still around to fix it.

Who actually builds the work? +

Meet Deshani leads full-stack: scoping, architecture, code, ship, support. 5+ years in systems, 2+ years in AI. HQ in Ahmedabad, plus 7 AI Masters across India, UAE, Indonesia, UK, and South Africa for specialist work. No account managers, no offshore handoffs.

How do I start? +

Book 30 min on cal.com/meetdeshani or WhatsApp +91 83200 65658. The first call is a free scoping session — you leave with a clear shape of the system regardless of whether you engage us.

What size of company do you work with? +

Founders of 10–500 person operations where an AI system replaces a missing department. Too small and you don't have the data; too large and internal politics slow the build. The sweet spot is operators who ship — not committees who evaluate.

Thirty minutes. Free scoping.

Leave the call with a clear shape of the system — whether you engage ZeroOne or not. That's the deal.

Book with Meet → WhatsApp +91 83200 65658