Cycling through all six. Tap any point to stop.
Measured on six things
Bot QA platform for chatbots & conversational AI
Speed
46Desktop Lighthouse lands at 89/100, but mobile is 57/100 with a 14.3s LCP and 7.5s FCP. CLS is a clean 0, so the layout is stable — the problem is how long the page takes to actually show up on a phone.
Screenshots
1 / 4



About this app
Inquio is a specialized bot QA platform that analyzes raw chatbot conversations to surface what your bot is getting wrong. It generates a detailed report card with an Inquio Score™, identified issues ranked by severity, benchmark comparisons, and actionable recommendations. Standout features include Defender for safety incident detection and Sales Radar for buying signals and churn warnings. Deploy as SaaS, on your own LLM tenant, or on-premise, with a free Starter plan and pay-as-you-go Growth pricing at $0.012 per conversation.
Key features
- 1Inquio Score™ report card with severity-ranked issues, benchmark comparisons, and actionable recommendations
- 2Defender for safety incidents and policy violations; Sales Radar for buying signals and churn warnings
- 3Flexible deployment: managed SaaS, your own LLM tenant, or fully on-premise with your infrastructure
Target customer profile
Drawn from the product itself, not from a survey.
Demographic
Conversational AI product owners and CX teams
Pain points
Manual conversation review is slow and misses critical bot failures
Primary needs
Automated QA, actionable recommendations, and benchmark comparison
Demographic
Enterprise security and compliance teams
Pain points
Data cannot leave infrastructure; LLM provider contracts restrict new processors
Primary needs
On-premise or BYO LLM deployment, SSO, and DPA compliance
Demographic
Sales and marketing operations in chatbot-driven businesses
Pain points
Buying signals and churn risks hidden in conversations go unnoticed
Primary needs
Automated Sales Radar insights and shareable reports
Scout Review
Written by AI from measured evidence, scored out of 100.
Inquio is a focused bot-QA tool with a clear pitch: upload conversations, get a scored report card, know what to fix. The design and onboarding are above average for its stage, the deployment flexibility is a genuine differentiator against ChatGPT and Google CCAI, and the product screenshots show a dashboard that actually communicates. The drags are a slow mobile homepage, a marketing site with thin security headers, and two accessibility misses. None are fatal; all are fixable.
Measure by measure
Usability
68Three-step onboarding, free Starter plan with no credit card, and 'results in minutes' make first value easy. Deployment options are explained clearly with a DPA link. Docs and a mobile menu aren't surfaced on the homepage.
Design
71Coherent green branding, soft gradients, and a clean report-card dashboard in maker media. Hero is direct with a strong CTA. The disconnected low-contrast icon column and abrupt shape cropping hold it back from the top of the band.
Speed
46Desktop Lighthouse lands at 89/100, but mobile is 57/100 with a 14.3s LCP and 7.5s FCP. CLS is a clean 0, so the layout is stable — the problem is how long the page takes to actually show up on a phone.
Security
63HTTPS enforced with HSTS, X-Content-Type-Options, SPF and DMARC (7/12 probe points). EU/US encrypted storage, DPA, and on-prem/BYO-LLM options are real strengths. Missing CSP, frame protection, Referrer-Policy, and no published SOC 2 or pen-test.
Accessibility
69Lighthouse accessibility scores 93/100, but two real audits fail: insufficient color contrast and links without discernible names. No WCAG statement or accessibility page found. Solid automated baseline, with concrete gaps to fix.
Growth
62A real, specific problem — bot QA is manual and misses failures — with a genuine wedge: bot-specific scoring, severity ranking, and benchmarks a general LLM won't produce. Defender and Sales Radar widen the buyer. Early stage (domain from Aug 2025).
Improvement areas
- Mobile performance: 14.3s LCP and 57/100 Lighthouse score undercut the 'results in minutes' promise
- Marketing-site security headers missing CSP, frame protection, and Referrer-Policy; no published SOC 2
- Two failing accessibility audits (contrast, unnamed links) and no WCAG statement or docs surfaced in nav
Design & Usability
Inquio's design is the strongest part of the package. The green branding is consistent, the hero headline does its job, and the report-card dashboard in the maker media shows real information hierarchy — a score gauge, categorized incidents, a topics chart. The weak spot is a low-contrast icon column that reads like an unfinished sidebar. Usability follows the same pattern: a three-step onboarding, a free Starter plan with no credit card, and a clear explanation of Cloud vs. own-LLM vs. on-prem. What's missing is the boring stuff — no visible mobile menu, no docs or help center linked from the homepage.
Speed & Security
Speed is a tale of two devices. Desktop Lighthouse scores 89/100, but mobile lands at 57/100 with a 14.3-second LCP and 7.5-second FCP. CLS is 0, so nothing jumps around — the page just takes its time arriving on a phone, which undercuts the 'results in minutes' promise before a visitor even signs up. Security is more balanced: HTTPS enforced with HSTS, SPF and DMARC in place, and a genuinely thoughtful data story with EU/US encrypted storage, a DPA, and on-prem or bring-your-own-LLM deployment for teams that can't add processors. The gaps are on the marketing site itself — no CSP, frame protection, or Referrer-Policy — and no published SOC 2 or pen-test report.
Accessibility & Growth
Accessibility scores 93/100 on Lighthouse, which sounds better than it is: two audits fail, for insufficient color contrast and links without discernible names, and there's no WCAG statement anywhere. The automated baseline is solid; the concrete fixes are small and obvious. Growth is where Inquio earns its keep. The problem it names — manual bot conversation review missing failures — is real, and the wedge is specific: a bot-focused report card with severity-ranked issues and benchmark comparisons that a general LLM won't produce on its own. Defender and Sales Radar stretch the buyer from QA to CX and sales ops, and the on-prem/BYO-LLM option targets regulated teams the alternatives structurally can't serve. It's early — the domain dates to August 2025 — but the idea has room.
Conclusion
For a product this young, Inquio has the right instincts: a specific problem, a specific buyer, and a wedge the big platforms don't bother with. The next wins are unglamorous — cut the mobile LCP, add CSP and frame protection, name your links, publish a WCAG statement, and put docs where people can find them. Do that and the report card you're selling starts to look like the one you'd give yourself.
Suggestions for improvement
- Fix the 14.3s mobile LCP — compress hero imagery and defer non-critical scripts to get mobile Lighthouse above 75.
- Add CSP, frame protection, and Referrer-Policy headers to the marketing site to match the security posture you sell.
- Resolve the two failing a11y audits: raise contrast on the icon column and give every link an accessible name.
- Surface docs and a mobile menu in the nav so visitors can self-serve before booking a demo.
Alternatives comparison
Named competitors, point by point. Nobody paid to appear here or to be left out.
| Bot-specific QA scoring and report card | Yes — Inquio Score™ with severity-ranked issues and benchmarks | No — general LLM, requires custom prompting, no scoring or report card | Partial — contact center analytics, not a dedicated bot report card |
|---|---|---|---|
| Benchmark comparison against industry averages | Yes — built-in benchmark comparison | No | Limited — analytics dashboards, no bot benchmark scoring |
| On-premise / bring-your-own-LLM deployment | Yes — SaaS, own LLM tenant, or on-premise | No — cloud only | Enterprise options via Google Cloud, not self-hosted |
| Safety incident and buying-signal detection | Yes — Defender and Sales Radar modules | No — requires custom analysis | Partial — contact center insights, not bot-specific safety/sales modules |
| Free tier / low-friction start | Free Starter plan, no credit card; Growth at $0.012/conversation | Free tier available; paid plans per seat | Enterprise pricing, no free self-serve tier |
ChatGPT
General-purpose LLM that can analyze conversations but lacks specialized QA scoring and bot-specific reporting.
Google Cloud Contact Center AI
Suite for contact centers with analytics, but not a dedicated bot report card or benchmark comparison tool.
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