ICP-1 · Arjun
HR-staffing founder/COO
20–200 staff
Your biggest client just asked 'what's your AI strategy' and you need an answer by next quarter.
Start with Spark · ₹1.5L · 2 weeks
AI Readiness Checklist →CompetitorX · consulting arm of the Talpro Universe
Productized AI consulting. Seven services. Pricing on the page. Run by operators who've shipped 15+ AI products in production across the Talpro Universe.
Talpro India Pvt Ltd · GSTIN 29AAHCT9485A1ZX · Bengaluru
15+ AI products shipped in production · Talpro Universe
Services · pricing on the page
Every engagement is productized with a fixed scope, fixed timeline, and a price you can see before we talk.
One problem. Two weeks. Prototype + memo.
₹1.5L · 2 weeks
Ship the system, not the slide deck.
₹6–12L · 4–8 weeks
Multi-module, enterprise-grade AI delivery.
₹15–60L · 8–16 weeks
Fractional AI CTO. Capped at 5 retainers.
₹3–8L / month · 3-mo minimum
Leadership alignment workshop.
₹2L · cohort
Responsible AI audit.
₹3L
Production AI observability.
₹2L / month
GST extra at applicable rate. USD invoicing available for international clients.
Who this is for
If you're not one of them, we'll tell you on the first call — and send you somewhere that fits.
ICP-1 · Arjun
20–200 staff
Your biggest client just asked 'what's your AI strategy' and you need an answer by next quarter.
Start with Spark · ₹1.5L · 2 weeks
AI Readiness Checklist →ICP-2 · Priya
200–2,000 staff in India
HQ mandated an India AI lab. You have 90 days to produce a charter, sizing plan, and first win.
Start with Prism + Forge · ₹2L → ₹9L
GCC AI Setup Playbook →ICP-3 · Rohan
20–150 engineers
You know AI will reshape your product. You don't have time to hire a full-time AI CTO yet.
Start with Helm · ₹3–8L / month
Fractional AI CTO Playbook →How we work
These are the instruments we use on every engagement. They were forged on our own products first, then offered to clients.
CEO → CTO translation protocol
Seven-step discipline from intent to executable plan. Used on every engagement — not as theatre, as the actual triage.
Talent and vendor evaluation
8-axis scoring grid — data residency, DPDPA posture, model flexibility, exit cost, and more. No vendor passes under 28/40.
112 Standing Orders · 80-pt Quality Gate
Our internal operating discipline — build, security, monitoring, compliance, performance. Published so clients can audit us.
Launch orchestration loop
Rakshak audits. Nirmaan remediates. Cycle until GO. No production deploy without a green Prahari pass.
Bengaluru · 2026
Who runs this
Founder, CompetitorX · Ex-Talpro India
Fifteen years in IT staffing. I watched the industry automate around me — resume parsing, candidate scoring, outreach, onboarding — and spent most of that run inside the messy difference between what vendors sold and what shipped.
The Talpro Universe is how I learned to ship AI in production. Eighteen products across recruiting, talent intelligence, GCC ops, and content — built with a small team, Claude, and a bench of freelance specialists. Some worked. Some didn't. The ones that worked taught me what operator-grade AI actually looks like under Indian data residency, DPDPA, and the kind of budget pressure real businesses run on.
CompetitorX is the consulting arm of that learning. Seven productized offers, pricing on the page, the same frameworks we use on ourselves. If it's not something I'd ship in Talpro, it's not something I'll sell to you.
Proof
Industries named. Clients redacted. Metrics verifiable on reference calls once we've signed a mutual NDA.
ICP-1 · HR-staffing
Mid-market staffing firm · Bengaluru
Problem
Resume-matching stuck at 62% precision. Recruiters spent 11 min/match.
Result
84% precision. 3.2 min/match. ₹1.1 Cr annualized ops saving.
ICP-2 · GCC
Global insurer · India capability center
Problem
HQ mandated 90-day AI lab charter. No local owner. No sizing.
Result
Charter shipped in 62 days. Team sized at 11. First win in claims triage.
ICP-3 · Funded startup
Series-A SaaS · product analytics
Problem
AI features on the roadmap for 14 months. Zero shipped. No AI lead.
Result
Two features shipped to GA in 90 days. 8-engineer team now self-sufficient.
The short no-list
A short no-list keeps us honest. If your ask lands on one of these, we'll tell you on the first call and point you somewhere better-suited.
Pilots with no line of sight to production.
If we can't draw the line from week 1 to a shipped, load-bearing feature, we won't start.
GenAI demos for slide decks.
You don't need another chatbot in Figma. You need a system that handles real inputs, real users, real failure modes.
Vendor-led strategy.
We're not an OEM reseller. Our tool selection is ruthless and exit-cost-aware. You'll hear 'don't buy this' as often as 'buy this'.
Staff augmentation dressed up as consulting.
If all you need is two more engineers, hire them. We don't rent bodies.
Work that bypasses your team.
Every engagement trains your people. No black-box handoffs. No 'we'll come back next quarter and re-run it'.
Clients whose AI use we can't defend in public.
Surveillance, dark patterns, synthetic media without disclosure. See Responsible AI.
FAQ
Because discovery calls should be about the problem, not the price. Seven named tiers cover 90% of what operators actually ask us to do. The 10% that don't fit, we scope as a fixed-fee Forge or Build. No T&M. No surprises at month 2.
No. Cash only. Equity quietly converts an advisor relationship into a lottery ticket that no one audits. Our discipline is the weekly retainer + 3-month minimum on Helm — both sides know where we stand.
Primary delivery is remote from Bengaluru on IST. Quarterly on-site visits are included in Helm Flagship; additional travel billed at cost. GCC clients typically get 1–2 days in-person per month built into the scope.
Yes. Default posture: data residency in India (or client's chosen region), DPDPA-compliant processing, no training on client data, deletion SLA of 30 days post-engagement. We'll redline anything that conflicts with that.
Helm is designed to end. Every retainer has an explicit transition clause — by month 6, you should either have a full-time AI lead in seat or a clear reason we're still the best option. If you're still paying us at month 18 by default, one of us has failed.
Model-agnostic by design. We pick per workload against TALPRO-IQ's 8-axis grid — data residency, exit cost, model flexibility, latency, cost, capability fit. Today that's mostly Anthropic and OpenRouter; tomorrow it might not be. Your contracts should survive that swap.
Short call, yes. If the shape fits, we'll say so. If it doesn't, we'll introduce you to one of the firms we trust for it — often faster than chasing a poor-fit engagement. That referral is free.
Book a ₹1.5L Spark. Two weeks, fixed scope, fixed price, a written plan at the end. If it's not the right call, we'll say so on the first conversation.
Invoiced by Talpro India Pvt Ltd · GSTIN 29AAHCT9485A1ZX