FinOps-led cloud cost optimization for Bangalore product companies, venture-backed startups, AI/ML scale-ups, and GCCs. INR-priced engagements. Deep AI-infrastructure and GPU-economics expertise. Built by the team behind the Fintropy platform — 470 scan rules across AWS, Azure, GCP, Kubernetes, and VMware.
On-site workshops in Koramangala, HSR, Indiranagar, Whitefield, Electronic City, ORR, and Marathahalli. Remote-first delivery for assessments.
Bangalore is India's startup and product-engineering capital. The cost questions are different from a typical enterprise estate — unit economics, burn discipline, GPU spend, and platform-team bin-packing dominate.
For Series B+ Bangalore startups, cloud spend is the largest controllable cost line and the most volatile. We deliver roadmaps that translate to board-level commitments — and savings-share pricing means you only pay against realized reductions.
Bangalore's AI/ML cohort burns GPU budget faster than most CFOs realize. We model inference and training separately, evaluate spot vs. reserved GPU strategies, instrument per-model cost attribution, and identify when right-sizing the model beats right-sizing the hardware.
For Bangalore marketplaces and multi-tenant SaaS, gross margin per cohort or per tenant matters more than the absolute bill. We instrument tenancy-level attribution and pivot optimization toward defending margins as you scale.
Bangalore-based captives of Microsoft, Amazon, Google, Walmart, Goldman, JPMorgan, and Cisco run hundreds of accounts. Chargeback discipline, dev-environment cleanup, and showback to engineering teams unlock more savings than any single rightsizing pass.
Fixed-fee assessment, prioritized roadmap, governance setup, execution support. Scoped to your Bangalore estate.
Unified view of AWS, Azure, GCP, Kubernetes spend. 470 Fintropy scan rules applied across accounts in scope.
Inference vs. training cost separation, spot/reserved GPU strategy, per-model cost attribution, model-right-sizing recommendations.
Every finding has owner, effort, savings estimate. Board-presentable for startup CFOs.
RI / Savings Plans modeling against your workload mix. Critical for AWS-heavy Bangalore product estates.
For SaaS and marketplaces — gross margin per tenant or cohort, not just total bill.
Kick-off, mid-point, and roadmap handover on-site. Remote-first for everything else.
Yes. Nuvika delivers cloud cost optimization services across Bangalore (Bengaluru) — covering Koramangala, HSR Layout, Indiranagar, Whitefield, Electronic City, Outer Ring Road, and Marathahalli. Engagements with Bangalore-based clients are priced and invoiced in INR. We run on-site workshops at your office, with assessment and ongoing scan work delivered remote-first via the Fintropy platform from our Thane HQ.
Bangalore is India's product-company and startup capital, plus the densest GCC concentration in the country. We have depth in venture-backed SaaS scale-ups (Series B through pre-IPO), AI/ML product companies wrestling with GPU economics, marketplaces with thin-margin unit economics (Flipkart, Swiggy, Zomato-adjacent ecosystem), and global capability centres of Microsoft, Amazon, Google, Walmart, Goldman, JPMorgan, and Cisco.
Yes. For Bangalore's AI/ML scale-ups, GPU spend often dwarfs the rest of the bill within a quarter of product-market fit. We model inference vs. training cost separately, evaluate spot vs. reserved GPU strategies, instrument per-model cost attribution, and identify the workloads where rightsizing the model itself beats rightsizing the infrastructure.
Yes. Cloud burn is the lever most Bangalore Series B+ startups have but rarely pull — engineering teams chase product velocity and cost surprises arrive in board meetings. We deliver a 3-week assessment that turns into a 90-day roadmap your CFO can present to the board, and we offer outcome-aligned pricing (savings-share) so you only pay against realized reductions.
Yes — all three, plus Kubernetes (EKS, AKS, GKE, OpenShift) and VMware. Bangalore estates skew heavily toward AWS (product cos and startups), with GCP increasingly common for AI/ML workloads and Azure dominant in GCC estates of Microsoft-aligned enterprises. Our Fintropy platform normalizes billing across all three using the FOCUS 1.2 schema.
Three weeks for the assessment. Week 1 — data collection, Fintropy scan setup, kick-off workshop on-site in Bangalore if desired. Week 2 — findings review with your engineering, FinOps, and platform leads. Week 3 — prioritized 90-day roadmap with owner, effort, and savings estimates. We are happy to run intensive 5-day variants for startups in a hurry.
Assessments are fixed-fee in INR. Ongoing engagements are retainer-based or savings-share. For Bangalore startups we are open to outcome-aligned pricing — you pay against realized reductions, which often makes board-level cost commitments easier to defend. Most engagements pay for themselves within the first quarter.
Most cloud cost optimization companies serving Bangalore are global IT consultants or DevOps shops where FinOps is one of many service lines. Nuvika is FinOps-first, India-headquartered, with our own scan engine (Fintropy, 470 rules across AWS, Azure, GCP, Kubernetes, VMware) and INR-priced engagements. For AI infrastructure cost discipline and venture-backed-startup burn defense, our specialization is the differentiator.
3 weeks. Fixed-fee. Read-only access. INR-priced. Savings-share pricing available for venture-backed startups.
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