Your AI is live. Prove it actually works.
We evaluate, build, and monitor AI systems so they work in production — not just in demos. Structured testing and measurable evidence for every engagement.
0%
Enterprise AI projects fail to deliver ROI
$0B
Cost of AI hallucinations globally in 2025
0%
AI proofs-of-concept never reach production
$0B
Addressable AI services market by 2027
Why AI Projects Fail in Production
The gap between a demo and a dependable system.
Hallucination Without Guardrails
Models confidently produce false information with no detection mechanism in place.
$112B global cost in 2025Broken RAG Pipelines
Poor chunking and retrieval strategies return irrelevant context, degrading answer quality.
88% of POCs never reach productionAgentic Systems With No Observability
Multi-step agents fail silently — no traces, no state management, no recovery.
80% fail to deliver ROIDemo-to-Production Gap
Systems that impress in demos break under real-world data, scale, and edge cases.
$300B addressable market by 2027How We Solve It
A five-step reliability pipeline.
Discover
Audit existing AI systems, prompts, and workflows.
Evaluate
Score performance with LLM-as-judge benchmarks.
Optimise
Redesign prompts, retrieval, and agent logic.
Validate
Re-test with measurable before/after evidence.
Monitor
Ongoing tracking with monthly trend reports.
Services
Engagements scoped for enterprise reliability.
AI Quality Audit
Score any AI system 0–100 on accuracy, relevance, safety, and compliance — with a before/after comparison.
RAG Pipeline Design & Build
End-to-end retrieval-augmented generation systems — ingestion, chunking, embeddings, vector DB, hallucination controls.
Agentic Workflow Architecture
Multi-step autonomous agents with observability, state management, and retry logic — integrated with your systems.
Continuous Monitoring Retainer
Monthly evaluation runs, trend reports, anomaly alerts, and ongoing optimisation for live AI systems.
Enterprise AI Reliability Sprint
A 4–8 week comprehensive engagement: full audit, RAG build or remediation, agent architecture, compliance validation, documentation, and a 90-day monitoring retainer.
Why Tvaksa for AI
Established credibility. Applied AI science.
| Capability | Generic Vendor | Tvaksa |
|---|---|---|
| Enterprise eval experience | Limited | Yes |
| Measurable evidence | Anecdotal | Before/after scores |
| Existing trust foundation | None | Capgemini, Pearson VUE, AWS |
Enterprise evaluation experience across live AI products
Applied science methodology — LLM-as-judge, structured test cases
Measurable, evidence-based optimisation reports
For Business Partners
Partnership models for B2B contacts.
Referral
Refer enterprise clients to Tvaksa for AI evaluation and build engagements — earn referral commission.
Subcontractor
Bring Tvaksa in as the AI engineering subcontractor on your existing client engagements.
White-Label
Deliver Tvaksa's AI evaluation and build services under your own brand to your clients.
FAQ
Common questions.
Ready to build the AI reliability layer your enterprise needs?
Get In Touch
Talk to the AI Services team.
AI Services Contact
AI Quality Audits, RAG pipelines, agentic workflows, and continuous monitoring.
ai@tvaksatech.com
Phone
+91 70260 02096
Hours
Calls: 9:00 AM – 6:00 PM | WhatsApp & Message: Anytime