Every option gives you the full product: Inquio Score™, identified issues, benchmarks, recommendations, Defender and Sales Radar.
1 • YOUR DATA
Bot conversations
CSV upload or API, from any
chatbot or voicebot
platform
2 • INQUIO
Analysis & scoring logic
Our evaluation pipeline,
benchmarks and report
card
3 • YOUR TENANT
Your LLM endpoint
Azure OpenAI, Amazon
Bedrock, Google Vertex AI
or a private model
4 • RESULT
Your report card
Inquio Score™, issues,
recommendations,
Defender and Sales Radar
No extra AI sub-processor for your legal team to approve
LLM usage billed to your existing cloud commitment
Your provider's data residency and logging settings apply
ON-PREMISE
For organisations where conversation data can't leave the network. We install the whole Inquio platform in your environment and keep it up to date with you.
1
Architecture call
We map your infrastructure, LLM options and conversation sources with your IT and security teams.
2
Pilot
Validate results on a sample of anonymised conversations before anything is installed.
3
Installation
Delivered as container images / Helm chart into your environment and connected to your SSO and LLM.
4
Run and update
Dedicated support with an SLA and regular updates, released on your schedule.
RUNS ON
Docker / Kubernetes; Linux x86_64
LLM
Your private endpoint or NVIDIA RTX PRO 6000 Blackwell — 96 GB
MINIMUM RESOURCES
8 vCPU / 32 GB RAM / 500 GB NVMe SSD
Single sign-on
Sign in with your identity provider and manage access centrally.
Admin controls
Decide who can upload data, view reports and export results.
GDPR-ready DPA with Standard Contractual Clauses and every sub-processor named.
Read the DPA
US or EU hosting
Choose where your data is stored in Inquio Cloud, or keep it in your own environment.
Export your data within 15 days of the contract ending. Everything is deleted within 90 days.
We'll complete your security questionnaire and join your architecture review.
"Inquio allows us to better understand conversations with our users, which helps us make sure our bot responds more accurately."
Lukas Spurny
Product Owner, Vodafone
