Customer Success
Measured, not claimed. Proven in production.
Real outcomes from real enterprise engagements — organized by solution area. Every metric ties directly to business impact because our pricing depends on it.
Client
Global High-Tech Manufacturing Company
Challenge
A publicly traded semiconductor company with a global engineering customer base needed to completely modernize its digital experience — fragmented content systems, disconnected search, limited personalization, and no self-service capabilities for marketing teams.
Solution
Composable DXP on Acquia Cloud with headless Drupal 11, AI-powered parametric search via Algolia, role-based experiences for engineers, procurement, and distributors, and a content architecture designed for marketing self-service.
Key Outcomes
- →Unified search across thousands of technical products, datasheets, and application notes
- →Role-based experiences for engineers, procurement, and distributors
- →Marketing self-service for landing pages and campaign content via Site Studio
- →Automated content governance — draft → legal review → publish
Avinash Thakur
Enterprise AI Data & Cloud Sales Leader, AWS & GCP Certified AI/ML Expert
“I've had the pleasure of working closely with Varada at LTTS, where he has been instrumental in driving high-impact digital transformation solutions for our strategic customers. He possesses a rare combination of deep technical knowledge, nuanced expertise in enterprise transformations, and sharp business acumen. He doesn't just know the how — he knows the why behind every move. Whether advising on strategic do's and don'ts or architecting a complex solution, he consistently adds value that wins both trust and business.”
Client
tvameva.ai
Challenge
Build and launch a complete AI-powered lead generation website in 2 days — 19 pages, CMS integration, automated testing, security scanning, visual components, and production deployment — without an agency and without a traditional dev team.
Solution
The founders directed the vision. AI agents wrote the code, created the content, built the tests, published to the CMS, and deployed to production. The same AI Pod model we deliver to clients — applied to ourselves first.
Key Outcomes
- →AI agents deployed — content creation, coding, testing, security, CMS publishing, solution architecture
- →Full CMS-driven content via headless Drupal CMS with React front-end
- →Automated test suite covering every page, integration, and deployment
- →CMS-driven visual components — architecture diagrams, metrics comparisons, interactive infographics
Client
Global Specialty Manufacturing Company
Challenge
44 manufacturing plants worldwide with approximately 2,000 cameras — all passive. Safety monitoring depended on human observers who cannot maintain consistent vigilance across thousands of camera feeds, around the clock, at every plant. Safety incidents that AI could detect in seconds were discovered in minutes or not at all.
Solution
A safety intelligence platform built on the InsightLens practice — predictive and prescriptive analytics capability extended to industrial computer vision. Edge inference via NVIDIA Metropolis, cloud training on GCP Vertex AI, analytics through BigQuery and Gemini.
Key Outcomes
- →Conversational safety intelligence — "Show me PPE violations at Plant 12 this week"
- →Agentic delivery model with automated model retraining and intelligent alert tuning
- →Composable architecture — edge inference + cloud training + analytics, independently upgradeable
- →System improves continuously after deployment through AI-driven feedback loops
Client
Professional Services Firm
Challenge
Senior consultants spending 40% of their time on pre-sales activities — 10–12 people per major proposal, weeks of elapsed time, and a structural bottleneck limiting the number of opportunities the firm could pursue.
Solution
Four purpose-built AI agents covering the full pre-sales pipeline — Opportunity Intake, POV Development, Demo Iteration, and Proposal Development — with human review and approval at every stage.
Key Outcomes
- →100% on-time RFP submission rate — zero missed deadlines
- →35–40% reduction in overall preparation effort
- →White-label delivery in the firm's brand profile — DOC, PDF, PPT
- →Institutional memory — every deal compounds learning across the firm
Venugopal Arcot
Board Member, Strategic Advisor, Keynote Speaker
“We used to throw 10–12 people at every major proposal — senior consultants pulled off billable work for weeks. With Tvameva's agentic AI approach, a small team with the AI pipeline produces a better proposal in a fraction of the time. We went from scrambling on every RFP to never missing a deadline — not once. 35–40% less prep effort, higher win rates, and our senior people are back on client work where they belong. We're scaling it across all our practice areas now.”
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