Track Record
We Didn't Start With AI. That's Why Our AI Work Holds Up.
Most AI shops started in 2023. We've been shipping production software since 2010 — distributed systems at scale, enterprise platforms with real users, cloud architecture on AWS. When we build AI systems, they run on infrastructure we actually understand.
AI Systems We’ve Shipped
Built and running in production
Each system exposed operational gaps that textbooks and prototypes don’t reveal. The lessons learned here became the diagnostic methodology we now apply for clients.
Agentic Commerce Platform
Conversational product discovery, comparison, and purchase — running on production AWS infrastructure with MCP protocol integration.
Per-request AI costs without a metering layer bleed margin invisibly
AI-Powered Virtual Data Room
AI document analysis for property due diligence — surfacing key clauses, risk flags, and cross-document inconsistencies.
Legal and financial documents break naive RAG chunking — page boundaries, tables, and cross-references need domain-aware retrieval
Conversational AI for Hospitality
Production conversational AI handling hotel bookings over WhatsApp — room availability, pricing, confirmation, and post-booking queries.
Retrieval failures at scale surface problems invisible in staging
From Building to Diagnosing
Every Diagnostic We Run Comes From a Problem We Hit First
We built it
The AI systems above aren’t client projects — they’re where we encountered every production AI problem firsthand. Margin bleed with no metering. RAG that broke on real documents. Cost surprises at scale. We didn’t read about these — we debugged them.
We confirmed it
When we started talking to other AI companies at a similar trajectory — across forums, communities, and founder conversations — the same patterns kept surfacing. Regardless of revenue or market cap, the operational gaps were identical. That’s when we realized these weren’t our problems. They were the industry’s problems.
We can fix it
The client engagements below prove the engineering discipline to actually fix them. Distributed systems processing 80 million products. Platforms serving 200,000 members across 50 languages. When we diagnose your AI system, we’re not guessing at infrastructure — we’ve built it.
Client Platforms at Scale
Delivered for clients since 2010
Enterprise platforms, distributed systems, and production infrastructure — the engineering foundation behind everything we build today.
Enterprise Blueprints
Business NetworkingSingle global platform replacing 3 legacy systems for the world’s largest business referral network — 200,000+ members across 50+ languages.
“Plavaga has taken the initiative of meticulously understanding what we wanted and delivered beyond par.”
Prakash Sethuraman, Managing Partner
Taglr
Retail / E-commerceDistributed product catalog and real-time search across 80 million products with auto-scaling architecture.
“Your experience and guidance has been the perfect match for our enthusiasm. Working with you all has been a pleasure.”
Nia, Founder
Ugam Solutions
Retail AnalyticsAutomated dynamic pricing engine for a global retail analytics leader — distributed rules engine processing 50,000 products in under 3 minutes.
eMyPA
Sales / CRMMobile SaaS with ML-powered contact intelligence — NLP and computer vision to classify business card scans into structured fields like names, addresses, and roles.
“We have been working with Plavaga for over 5 years. They displayed tremendous maturity in understanding the problem we were attempting to solve.”
Ravi Shankar, Founder Director
Satmetrix
Enterprise SaaSAnalytics module rebuild for an enterprise Customer Experience Management platform — modern interactive charts with a pattern library that cut new report development from weeks to days.
“Plavaga understood the business requirements and made excellent suggestions for improving the customer experience.”
Christina Ravaglia, Senior Director, Product Management
Radisson Blu
HospitalitySmart IoT lighting solution for a leading hospitality chain — tablet-controlled scenes, cloud monitoring, motion-sensor automation.
Cordis
InsuranceInsurance workflow management product for a UAE-based provider — dynamic rules engine with per-tenant custom workflows.
A leading utilities / public sector company
Utilities / Public SectorNear real-time IoT smart metering solution for a state-owned power distribution company — GPRS meters, cloud analytics, predictive maintenance, and payment integration.
A leading edtech company
EdTechArchitecture consulting for a national-scale computer-based testing platform at IIT JEE and CAT scale — multi-layered cryptographic security and edge-server resilience.
Industries We’ve Operated In
Same production discipline, different domains
Client voices
What our clients say after working with us for years
Long-term partnerships built on production delivery, not slide decks.
“Plavaga understood the business requirements and made excellent suggestions for improving the customer experience.”
Christina Ravaglia
Senior Director of Product Management, Satmetrix
“Plavaga has taken the initiative of meticulously understanding what we wanted and delivered beyond par.”
Prakash Sethuraman
Managing Partner, Enterprise Blueprints
“We have been working with Plavaga for over 5 years. They displayed tremendous maturity in understanding the problem we were attempting to solve.”
Ravi Shankar
Founder Director, eMyPA
“Your experience and guidance has been the perfect match for our enthusiasm. Working with you all has been a pleasure.”
Nia
Founder, Taglr
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