AI-powered relationship intelligence platform for sales teams
By Tanmay Verma, Founder · Last verified 29 May 2026
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For sales teams tired of manual relationship tracking and blind spots in deal progression, Regard offers a smart, automated layer of intelligence. It excels at surfacing stakeholder engagement gaps but may be redundant if your CRM already provides sufficient pipeline analytics.
Compare with: Regard vs Viz.ai, Regard vs PathAI, Regard vs Tempus
Last verified: May 2026
Regard fills a real gap in the sales tech stack by automating relationship intelligence that most teams piece together manually. If your deals are complex with multiple stakeholders and long cycles, Regard's relationship mapping and risk scoring are genuinely useful. However, if you have a simple sales process or already rely on detailed playbooks, the extra layer may not justify the cost. The closest alternative is Gong, which focuses on conversation intelligence rather than relationship dynamics. Regard wins on proactive relationship insights but lacks call recording and transcription features. A caveat: adoption requires team discipline to keep calendars and emails synced, and the automated insights are only as good as the data pipeline.
Skip Regard if Skip Regard if you are a solo practitioner or small clinic needing an affordable, self-serve AI transcription tool.
How likely is Regard to still be operational in 12 months? Based on 6 signals including funding, development activity, and platform risk.
Regard is an AI-powered relationship intelligence platform designed for sales and revenue teams. It automatically captures and analyzes communication data from email, calendar, and CRM to provide actionable insights on deal health, relationship strength, and next steps. By unifying scattered data, Regard helps reps prioritize accounts, reduce manual data entry, and close deals faster. Key features include automated relationship mapping, deal risk scoring, and a timeline view of stakeholder interactions. Regard integrates with common sales tools like Salesforce, HubSpot, and Outreach. Unlike generic CRM analytics, Regard focuses specifically on relationship dynamics to uncover hidden risks and opportunities in the sales pipeline.
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Concrete scenarios for the personas Regard actually fits — and what changes day-one when you adopt it.
At the end of a shift, opens Regard dashboard to review AI-generated SOAP notes for 15 patients seen that day.
Outcome: Notes are 90% accurate; spends 15 minutes editing and approving, saving 2 hours of manual documentation.
Evaluating Regard after a pilot in two units; reviewing analytics on documentation completeness and missed diagnosis flags.
Outcome: Decides to deploy system-wide after seeing 30% reduction in documentation errors and improved billing code capture.
Currently limited to inpatient hospital settings; requires hospital-wide EHR integration; no self-serve or per-physician pricing; custom pricing only.
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
For each published Regard tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Hospital
Custom
Ideal for
Single hospital facility looking for AI chart review and missed diagnosis detection with EHR integration.
What this tier adds
Starting tier includes AI chart review and missed diagnosis detection.
Health System
Custom
Ideal for
Multi-facility health system needing centralized analytics, custom condition monitoring, and broad deployment.
What this tier adds
Adds multi-facility deployment, analytics, and custom condition support.
The company stage and team size where Regard's pricing actually pencils out — and where peers do it cheaper.
Regard's custom pricing fits large hospitals and health systems that can negotiate volume deals. For smaller clinics, peers like DeepScribe ($99/mo per provider) are more cost-effective.
How long it actually takes to get something useful out of Regard — broken out by persona, not the marketing-page minute.
For a hospital system: initial EHR integration takes 4-8 weeks. Individual clinicians can start using Regard within a day of go-live after a brief training session.
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Common stack mates teams adopt alongside Regard, with the specific reason each pairing earns its keep.
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