ArcGlass vs. OnClarity (formerly Anecdote)

Last updated: September 27, 2026

Company data compiled from public sources; figures are approximate and may have changed since publication.

Strategic positioning

	ArcGlass	OnClarity (formerly Anecdote)
Buyer	COO and CEO first; also CMO, VP Sales, RevOps, Customer Success, founders	CX, contact center and support leaders; product teams for VoC; often in regulated industries
Headline value	"Stay close to customers. Without sitting in every meeting."	"Agentic CX AI that checks its own work."
Center of gravity	Your team's own conversations: what customers say in meetings and email, and how your people deliver the message	A closed CX loop: listen (VoC), act (AI support agent), verify (Agent QA), learn (knowledge updates)
Primary data	Meetings (Zoom, Meet, Teams), notetakers, Gong and Chorus calls, email, Slack and Teams chat	Voice and IVR, chat, email, WhatsApp, tickets (Zendesk, Intercom, Freshdesk), surveys, app stores, reviews, social; Salesforce
Output	Daily leadership briefing, per-meeting analysis, account health, rep moments, messaging and product signals, tasks written back to CRM and calendar	Themes and alerts, AI answers to customers, drafted replies for agents, QA scorecards, reports pushed to Slack, Jira and Linear
Recent direction	Leadership views (Pulse, positioning, messaging analysis) and a free on-device notetaker (Listen)	AI support agents, Agent QA, on-premise deployment for regulated markets

OnClarity has moved well beyond the feedback analysis this page used to compare. Today it overlaps with ArcGlass only on surfacing what customers ask for and struggle with. Different buyers and different jobs, with a narrow overlap on customer signals.

Overlap surface

1. Sources each product reads Different sources

OnClarity reads the contact center and public feedback. ArcGlass reads your field team's conversations.

• ArcGlass: Reads the conversations your team has: Zoom, Google Meet and Microsoft Teams meetings; notetaker output from Fireflies, Fathom and Granola; Gong and Chorus calls; Gmail, Outlook and Exchange email; Slack, Teams chat, Discord and Google Chat. It does not ingest support tickets, IVR recordings, surveys, reviews or public social posts.
• OnClarity (formerly Anecdote): Connects to 100+ feedback sources: voice and IVR recordings, chat, email and WhatsApp, support platforms (Zendesk, Intercom, Freshdesk, Kustomer, Gorgias), surveys (Typeform, Delighted, Medallia), app stores and review sites (Google Play, Trustpilot, G2), social (Reddit, Instagram, TikTok) and Salesforce.

2. Voice of customer themes and alerts OnClarity wins

• ArcGlass: Groups topics per meeting with sentiment, share of conversation and the evidence quote, and rolls recurring themes up for leaders. It is not built to theme high volumes of tickets, reviews and surveys.
• OnClarity (formerly Anecdote): Classifies feedback by topic and sentiment, surfaces root causes, alerts in real time when complaints rise, and pushes daily reports and bug insights into Slack, Jira or Linear. It can join a public complaint spike with a contact-center ticket spike on the same data layer. A customer cites 55% less time on VoC analysis.

3. Product signals Different evidence

This is the real overlap.

• ArcGlass: Product Signals shows, per product area, where customers had a strong reaction and where they voiced unmet needs, with each item linked back to the source call. The evidence comes from sales and account conversations.
• OnClarity (formerly Anecdote): Surfaces feature requests and bugs from support, reviews and social at volume, with counts per issue, and routes them to engineering through Jira or Linear.

OnClarity tells you which bug is generating the most tickets. ArcGlass tells you which unmet need came up in buyer conversations this month.

4. Customer-facing AI and support OnClarity only

• ArcGlass: ArcGlass has no customer-facing AI agent, does not answer customers, and has no support inbox or ticketing. It works after the conversation, for the people who lead the team.
• OnClarity (formerly Anecdote): AI Support Agent resolves chat and voice conversations end to end, with confidence thresholds that hand off to a human. Agent Assist drafts replies with their source for human agents. Answers are grounded in approved knowledge, and the loop writes fixes back to the knowledge base.

If you want AI to answer your customers, this is OnClarity's territory, not ArcGlass's.

5. Conversation QA and coaching Different teams

• ArcGlass: Coaches the people-facing field: per-meeting rep moments (standout, coaching, worth sharing as a model), conversation health, per-rep trends and coaching memory in Staff, and communication coaching in Listen.
• OnClarity (formerly Anecdote): AI Agent QA scores 100% of voice and text interactions against the customer's own evaluation rubric, with timestamp-anchored evidence per criterion, calibration views, compliance alerts and coaching playlists. It is built for contact-center QA teams.

OnClarity grades support agents against a rubric. ArcGlass shows sales and account leaders what their best people do differently.

6. Customer questions and messaging ArcGlass wins

• ArcGlass: Customer Questions collects what customers actually ask across conversations. Messaging analysis shows what lands, what falls flat and how your best people deliver it, with pitch options for the CEO, COO and CMO. Positioning separates what the company claims from what customers raise unprompted across accounts.
• OnClarity (formerly Anecdote): OnClarity's public materials center on customer service quality, support automation and product feedback. It does not position itself around sales messaging or how a field team delivers the pitch.

7. Accounts and leadership view ArcGlass wins for field teams

• ArcGlass: Home gives each leader an "Act now / Watch / Working" list and a week-over-week view of what changed across customers. Companies shows account health (At risk / Watch / On track) with a one-line reason. Follow-ups write back to Salesforce, HubSpot and the calendar.
• OnClarity (formerly Anecdote): Leaders get contact-center views: tickets resolved and handed over, QA scores, CSAT, agent leaderboards and VoC dashboards. Strong for running a service operation; not organized around B2B account relationships.

8. Deployment and data residency OnClarity wins for regulated buyers

• ArcGlass: ArcGlass never trains models on customer conversations, stores no recordings, and is tenant-isolated and encrypted. Listen records on-device, and for enterprise the transcripts can stay inside the customer's network or VPC. SOC 2 Type II is in progress.
• OnClarity (formerly Anecdote): Runs as SaaS, in-region cloud or fully on-premise with the same architecture, and states SOC 2 compliance, GDPR and PDPL alignment. It sells into banks, telecoms and government bodies where data must stay in-country.

Coverage areas only one side has

Takeaways

1. This is a different company from the one we used to compare. Anecdote is now OnClarity, and its center of gravity has moved to the contact center: AI agents, QA and voice of customer in one loop. The overlap with ArcGlass is smaller than it was.
2. OnClarity wins on service operations and VoC volume. If you run a contact center or support team and want AI that answers, scores and learns, OnClarity is built for that. ArcGlass does none of those.
3. ArcGlass wins on field and account conversations. Sales and account meetings, email and how your people deliver the message are where ArcGlass is strongest, aimed at the COO, CEO and CMO.
4. The overlap is customer signals. Both surface what customers ask for and struggle with. OnClarity sees it through support and public feedback; ArcGlass through the conversations your field team has.
5. If you're choosing between them: pick OnClarity (formerly Anecdote) if our problem is running customer service at scale: we want AI answering customers, every support conversation scored, and feedback from tickets, reviews and social turned into fixes, possibly on-premise. Pick ArcGlass if our problem is that leaders cannot see what is happening in our team's meetings, calls and email, which messages land, and which accounts need attention this week. A company with a large contact center and a B2B field team could run OnClarity for service and VoC and ArcGlass for leadership's view of sales and account conversations. They read different conversations and serve different leaders.

How ArcGlass thinks about the overlap

We do not compete with OnClarity. It has become a customer experience platform for service teams, with AI agents and QA that ArcGlass does not offer and does not plan to. Earlier versions of this page called Anecdote a direct competitor on feedback analysis; both companies have since moved in different directions.

Where we meet is the question every leader asks: what are customers telling us? OnClarity answers it from the support floor and public feedback. ArcGlass answers it from the meetings, calls and email your own people are in, with the evidence linked to the conversation.

Sources

1. OnClarity home page (anecdoteai.com redirects here) (accessed 2026-09-27)
2. OnClarity: About (states Anecdote rebranded to OnClarity in Sep 2025) (accessed 2026-09-27)
3. OnClarity: Explaining Our Story ($12M raise and rename) (accessed 2026-09-27)
4. OnClarity: Voice of Customer (accessed 2026-09-27)
5. OnClarity: AI Agent QA (accessed 2026-09-27)
6. OnClarity: Deployment and Data Sovereignty (accessed 2026-09-27)
7. OnClarity: Integrations (accessed 2026-09-27)
8. OnClarity: Customer stories (accessed 2026-09-27)
9. OnClarity: Changelog (accessed 2026-09-27)
10. Retail Technology Innovation Hub: Clarity raises $12 million in Prosus Ventures led round (Sep 2025) (accessed 2026-09-27)
11. Crunchbase: Anecdote company profile (accessed 2026-09-27)

Questions about this comparison? Reach out at hello@arcglass.io — we're happy to dig into specifics for your stack.