ArcGlass vs. Enterpret

Last updated: September 27, 2026

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

Strategic positioning

	ArcGlass	Enterpret
Buyer	COO and CEO first; also CMO, VP Sales, RevOps, Customer Success, founders	Product, CX and support leaders; increasingly cross-functional GTM (product marketing, RevOps)
Headline value	"Stay close to customers. Without sitting in every meeting."	"Customer intelligence infrastructure for teams building with AI."
Center of gravity	Your team's own conversations: what customers say in meetings and email, and how your people deliver the message	High-volume feedback: tickets, reviews, surveys and social, structured into one taxonomy
Primary data	Meetings (Zoom, Meet, Teams), notetakers, Gong and Chorus calls, email, Slack and Teams chat	50+ channels including Zendesk, Intercom, surveys, app and review sites, Reddit, social, Gong transcripts and CRM data
Output	Daily leadership briefing, per-meeting analysis, account health, rep moments, messaging and product signals, tasks written back to CRM and calendar	Themes with volume and sentiment trends, Wisdom answers, reports, alerts, and actions pushed to Jira, Linear, Slack and Salesforce
Recent direction	Leadership views (Pulse, positioning, messaging analysis) and a free on-device notetaker (Listen)	Agentic platform: Agent OS automations, Sales Intelligence win/loss, MCP access from Claude and ChatGPT

Both products surface what customers want. Enterpret does it across the whole feedback stream for product decisions; ArcGlass does it inside the conversations your field and account teams are having, for the people who lead them. Adjacent products with a narrow overlap, not substitutes.

Overlap surface

1. Sources each product reads Different sources

This is the root of every other difference on the page.

• 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, surveys, app-store reviews or public social posts.
• Enterpret: Built to pull feedback from 50+ channels: support platforms such as Zendesk and Intercom, surveys, review sites and app stores, Reddit, Instagram and X, community, plus Gong transcripts and CRM data. If a customer wrote it down somewhere, Enterpret is designed to collect it.

Enterpret starts from the feedback stream. ArcGlass starts from the conversation your own people were in.

2. Theme taxonomy Enterpret wins

• ArcGlass: Groups topics per meeting with sentiment, share of conversation and the evidence quote, and rolls recurring themes up for leaders. It does not maintain a deep, product-wide hierarchy that product ops curates over time.
• Enterpret: Adaptive Taxonomy is the core of the product. Enterpret says it structures feedback into a five-level hierarchy that learns the company's language and adjusts as products change, with no manual tagging. Canva is cited as handling ten times more feedback with the same team.

If you need a clean, evolving map of every request by product area, use Enterpret.

3. Product signals Enterpret wins at volume

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, so it reflects what buyers and existing customers say to your people, not what the wider user base types into a ticket.
• Enterpret: Quantifies feedback themes by volume, sentiment and trend across every source, and its customer knowledge graph connects them to accounts, segments and revenue impact. Wisdom answers questions over millions of records. For roadmap prioritization at scale this is deeper.

Enterpret tells you how many customers want it. ArcGlass shows you the exact moment a buyer asked for it on a call.

4. Sales conversations and win/loss Different angles

• ArcGlass: Reads every sales and account meeting as it happens: account signals labeled "Jump on this / Tread carefully / In good shape", the actors in the deal, suggested follow-ups, and third-party companies named in meetings. Win/loss views only appear once a CRM is connected.
• Enterpret: Sales Intelligence (April 2026) analyzes closed deals from Salesforce or HubSpot plus Gong transcripts to explain why deals were won or lost and map lost ARR to product gaps. It is aimed at product managers, RevOps and product marketing as much as sales leaders.

Enterpret explains closed deals for product decisions. ArcGlass reads live deals for the people still working them.

5. 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.
• Enterpret: Enterpret's public materials center on what customers say about the product and why deals close, not on how your team delivers its message in live conversations. Its data can inform messaging, but coaching the pitch is not what it is built for.

6. Accounts and people ArcGlass wins for field teams

• ArcGlass: Companies shows account health (At risk / Watch / On track) with a one-line reason, trended weekly. Staff shows each rep's trends and coaching memory, and per-meeting analysis flags standout and coaching moments. Access follows the reporting tree.
• Enterpret: Links feedback to accounts and revenue through its customer knowledge graph, which is useful for weighting requests by ARR. It does not publicly position itself around rep coaching or per-rep performance.

7. Agents and actions Different jobs

• ArcGlass: Suggests tasks and follow-ups from each meeting and writes back to Salesforce, HubSpot, Google Calendar and Outlook, with PagerDuty and OpsGenie for escalations. Task Sweeper runs a short triage session, and Pulse shows leaders recurring task classes and owner overload.
• Enterpret: Agent OS (beta, June 2026) adds the Enterpret Agent, reusable Skills and Agent Automations such as Help Center Gaps, Launch Monitor and Escalation Shield, with connections to Jira, Linear, Slack, Salesforce and GitHub. An MCP server exposes feedback to Claude, ChatGPT and internal tools.

Enterpret's actions serve product and support workflows. ArcGlass's serve the people who own the customer relationship.

8. Leadership view Different lenses

• ArcGlass: Home gives each leader an "Act now / Watch / Working" list, a week-over-week view of what changed across customers, and a narrative of the period. It is built so a COO or CEO can stay close to customers without sitting in every meeting.
• Enterpret: Gives leadership a product-feedback lens: top themes, sentiment trends, revenue impact of requests, and executive-ready win/loss reports. Strong when the question is what the customer base wants from the product.

9. Rollout and data handling Comparable

• ArcGlass: Connect a source in about two minutes, with no rollout project and no change to how reps work. Every plan starts with a 14-day free trial. ArcGlass never trains models on customer conversations, stores no recordings, and SOC 2 Type II is in progress.
• Enterpret: Pricing is quote-based on data volume and integrations, with unlimited seats, customer-specific ML models and a dedicated success manager on every plan. Enterpret publishes a data usage page and a security page.

Coverage areas only one side has

Takeaways

1. Adjacent, not substitutes. Enterpret answers "what does our customer base say about the product?" ArcGlass answers "what is happening in our team's customer conversations, and what should leaders do about it?" Most companies that need one do not need the other to do its job.
2. Enterpret wins on volume and taxonomy. If feedback arrives through tickets, reviews, surveys and app stores in large volumes, Enterpret's taxonomy and Wisdom engine are the right tools. ArcGlass does not read those sources.
3. ArcGlass wins on the conversation itself. Sales and account meetings, email threads and how your people deliver the message are where ArcGlass is strongest, and they are aimed at the COO, CEO and CMO rather than the product team.
4. The overlap is product signals. Both surface unmet needs. Enterpret counts them across the whole base; ArcGlass ties them to specific buyer conversations. Product teams often value both kinds of evidence.
5. If you're choosing between them: pick Enterpret if our problem is that product feedback is scattered across tickets, surveys, reviews and social, and the product team needs one structured, revenue-weighted view of it. 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. Run Enterpret for the product feedback map and ArcGlass for leadership's view of field and account conversations. ArcGlass's Product Signals add call-linked evidence to the themes Enterpret quantifies.

How ArcGlass thinks about the overlap

We do not position ArcGlass as an Enterpret replacement. Enterpret has built a strong taxonomy and feedback platform for product teams, and it reads sources we do not read. Earlier versions of this page called us direct competitors; that was based on a product we no longer sell.

Where we meet is product signals. ArcGlass hears unmet needs and strong reactions in the conversations your sales and account teams are having, links each one to the call, and puts it in front of leadership. If you already run Enterpret, that evidence complements the volume view rather than competing with it.

Sources

1. Enterpret home page (accessed 2026-09-27)
2. Enterpret pricing (accessed 2026-09-27)
3. Introducing Enterpret 2.0: The Foundation for Customer Intelligence (Oct 2025) (accessed 2026-09-27)
4. Introducing Agent OS: Customer Intelligence That Starts Itself (Jun 2026) (accessed 2026-09-27)
5. Introducing Sales Intelligence (Apr 2026) (accessed 2026-09-27)
6. SiliconANGLE: Enterpret adds agents to its customer feedback analysis platform (Oct 2025) (accessed 2026-09-27)
7. Business Wire: Enterpret Announces $20.8 Million Series A (Dec 2024) (accessed 2026-09-27)
8. Wikipedia: Enterpret (accessed 2026-09-27)

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