DIAL3D vs Anonymous Health: Side-by-side.
Anonymous Health (product name: Heads Up AI) is an AI patient intake platform marketing into behavioral health and general healthcare. As of 2026, their organic search presence is minimal — they're spending heavily on Google Ads to acquire traffic. DIAL3D is the vertical-specific, organic-earning alternative built by behavioral health operators.
Last reviewed · May 19, 2026 · Written by DJ Prince
TL;DR
- •Best for behavioral health: DIAL3D for behavioral-health-specific admit lines that need 42 CFR Part 2, BH-specific VOB, and a crisis-language model trained on SUD presentations. Anonymous Health for general patient intake across multiple specialties.
- •Pricing: DIAL3D: Trial free / Professional $2,000/mo / Enterprise custom — public, per-minute overage published. Anonymous Health: contact-sales, pricing not public.
- •Key differentiator: DIAL3D is purpose-built for behavioral health admit lines, not a horizontal patient-intake tool with behavioral-health verbiage on the homepage.
Side-by-side, honest.
We don't lie about what Anonymous Health does — readers check. Here's how the two platforms compare on the features behavioral health buyers ask about.
| Feature | DIAL3D | Anonymous Health |
|---|---|---|
| Behavioral-health-purpose-built | ✓ | ~ |
| 42 CFR Part 2 disclosure + consent capture | ✓ | ~ |
| Crisis-language classifier (SUD-tuned) | ✓ | — |
| Live VOB during the call (40+ payors) | ✓ | ✓ |
| Warm transfer under 3 seconds | ✓ | ~ |
| Native Kipu / KipuCRM connector | ✓ | — |
| Public pricing | ✓ | — |
| Free Trial plan | ✓ | — |
| HIPAA-aligned + BAA on every plan | ✓ | ✓ |
| Earned organic search presence | ✓ | — |
| AI voice + chat + SMS + agent-assist | ✓ | ~ |
| Built by behavioral-health operators | ✓ | — |
| Multi-specialty patient intake | — | ✓ |
| Adolescent + dual-diagnosis intake flows | ✓ | — |
What each costs.
DIAL3D
Free Trial (100 voice minutes, BAA included), Professional at $2,000/mo, Enterprise custom for 5+ facilities. Per-minute overage published ($0.49 Trial / $0.44 Pro). No setup fees.
Anonymous Health
Anonymous Health does not publish pricing on their website. They are running ~15 active Google Ads keywords including 'mental health software', 'patient scheduling software', and 'behavioral health platform' — a strong signal they are buying traffic that DIAL3D is earning organically. Reported pricing varies by use case and is typically negotiated per-engagement.
Which one is right for you?
If Anonymous Health is genuinely the better fit for your situation, you should use Anonymous Health. Here's how to decide.
Choose DIAL3D if…
- ✓You run admit lines specifically at addiction treatment, mental health, or detox programs.
- ✓You need 42 CFR Part 2 disclosure language baked into every conversation.
- ✓You want a vendor whose entire product roadmap is behavioral health, not a horizontal intake tool.
- ✓You want public pricing without a discovery call.
- ✓You value organic-earned search authority over paid-ad-driven brand presence.
Choose Anonymous Health if…
- →You run a multi-specialty practice and behavioral health is one of several lines of service.
- →You need general patient scheduling and intake across primary care, urgent care, and behavioral health under one platform.
- →You're already invested in their Heads Up AI product and switching costs outweigh the vertical fit.
What changing vendors looks like.
DIAL3D runs in shadow mode for the first 1-2 weeks alongside any existing intake tool. Your team approves transcripts before the agent answers live calls. The migration is a parallel pilot, not a forklift swap.
- ✓Free 30-day pilot — runs alongside your existing setup, no contract to break.
- ✓Phone-number portability — keep your existing numbers, route inbound to DIAL3D.
- ✓BAA executed during onboarding, before any PHI is processed.
- ✓Native Kipu / Salesforce / Sunwave / CallTrackingMetrics connectors live by day 12.
Questions about DIAL3D vs Anonymous Health, answered straight.
If we don't have an answer, we'll tell you who does.
Email our admit-line team