Dapta sells AI "employees" for small and mid-sized businesses: voice agents that answer the phone, qualify the caller, and book the appointment, plus text agents that handle SMS and WhatsApp follow-up. This review is built from Dapta's live site and pricing page, because no independent review data was accessible at the time of writing — that gap is covered honestly below rather than papered over.
| Best for | Service businesses that lose bookings to missed calls or slow follow-up |
| Starting price | Free (2,000 credits, 1 agent); paid plans start at $99/month |
| Real cost note | The per-credit rate holds flat at roughly $1 per 1,000 credits from Pro through Prime — upgrading buys more seats, workspaces, and support, not a cheaper rate |
| Setup speed | Advertised as no-code with vendor-led onboarding sessions on paid tiers; not independently timed |
| Standout feature | Seven pre-built agent templates (receptionist, lead qualifier, collections specialist, HR screener, etc.) rather than a blank canvas |
| Biggest caveat | Dapta doesn't publish how many credits a call, text, or workflow run actually consumes, making real usage cost hard to estimate upfront |
| Third-party rating | None found — G2 and Trustpilot pages were inaccessible and no meaningful independent review base could be located |
Dapta is a conversational AI platform built around a library of pre-made agent roles rather than one general chatbot: AI Receptionist, AI Lead Qualifier, AI Sales Follow-up, AI Customer Support, AI Onboarding Specialist, an HR Candidate Screener, and a Collections Specialist. A no-code builder lets businesses assemble custom agents on top of those templates. Agents work across phone calls, SMS, and WhatsApp, and an AI notetaker transcribes conversations automatically.
The vendor cites named customers — Colwell Law Group, Aether Mechanical, and Miami Tech & Arts University (a claimed 50% booking increase in one month) — plus a broader claim of 50,000+ companies using the platform. These are vendor-published case studies and marketing claims, not independently audited outcomes, so treat them as directional rather than proof.
You start from a template or build an agent from scratch, then connect it to the business's calendar and CRM through Dapta's integration library, which the live site currently lists at 300+ tools, naming HubSpot, GoHighLevel, and Salesforce specifically. (Some third-party directories describe the integration count differently — this review defers to the number on Dapta's own live pricing/marketing pages.) Usage is metered in "credits" consumed across agent runs. Paid tiers add vendor-run onboarding: Pro includes one implementation session, Scale Up includes four per month, and Prime adds a dedicated account manager and solutions-engineer access — real hands-on setup help, but also a sign the platform isn't fully plug-and-play for everyone out of the box.
| Plan | Monthly price | Credits | Users / Workspaces | Notable inclusions |
|---|---|---|---|---|
| Free | $0 | 2,000 | 1 user | 1 agent, 2 flows |
| Pro | $99 | 100,000 | 5 users / 5 workspaces | Unlimited agents/flows, 10GB storage, 1 tech session |
| Scale Up | $499 | 500,000 | Unlimited users / 25 workspaces | 20GB storage, 4 tech sessions/month |
| Prime | $1,499 | 1.5M | Unlimited users / 70 workspaces | 50GB storage, dedicated account manager |
| Custom | Contact sales | Consumption-based | Custom | Custom SLAs, solutions engineer |
Doing the arithmetic on credits is the sharpest thing about this pricing: Pro works out to about $0.99 per 1,000 credits, Scale Up to about $1.00 per 1,000, and Prime to almost exactly $1.00 per 1,000. The per-unit rate barely moves across a 15x price range — what you're actually paying more for as you move up is seat count, workspace count, storage, and support access, not a cheaper cost per agent action. The bigger gap is that Dapta doesn't publish what a single phone call, text message, or transcription actually costs in credits anywhere we could access, so sizing the right plan means either testing on the free tier or asking sales directly.
We verified pricing, plan inclusions, feature lists, and the named case studies directly from Dapta's live marketing and pricing pages. We could not verify independent user sentiment: Dapta's G2 and Trustpilot pages both returned access-blocked responses rather than visible ratings, and a Reddit thread asking "Has anyone used Dapta.ai?" (r/AiAutomations) had no accessible answers at the time of this review. The other sites indexing Dapta are largely AI-tool directories and vendor-style listicles, not numbered independent review platforms. If a real review base with meaningful volume shows up later, weigh it against what's written here — for now, the case studies and the "50,000+ companies" figure are vendor claims, not third-party-confirmed results.
Pros
Cons
Dapta competes in AI voice and conversational agents for SMBs, not cold-email sending infrastructure, so the closest comparisons are other agent platforms:
Good fit: service businesses (home services, law firms, education, healthcare front desks) that lose leads to missed calls; agencies wanting to deploy branded AI receptionists across several client accounts from one dashboard; teams that want voice, SMS, and WhatsApp automation under a single vendor instead of three.
Poor fit: teams that need independently verified reliability data before committing budget, since none exists publicly yet; anyone who needs an exact cost-per-call figure before signing up, since the credit system doesn't spell that out; teams whose actual need is cold-email sending infrastructure or inbox warmup — that's a different category, and Dapta doesn't compete there.
$0 / month
$99 / month
$499 / month
$1,499 / month
Custom / quote