Dapta
Dapta is a conversational AI platform that builds voice and text agents for inbound sales, support, and onboarding workflows. Agents answer calls, qualify leads, book appointments, and sync conversation data directly into HubSpot, GoHighLevel, Salesforce, or Calendly without manual handoff. It is built for agencies reselling to SMB service businesses (real estate, law, home services, education) where inbound call handling is a revenue lever. Agencies deploy agents per client using a multi-workspace structure, charge monthly retainers based on call volume, and manage usage via a credit-based consumption model. Integrations span HubSpot, GoHighLevel, Salesforce, Calendly, Zapier, Slack, and Twilio, reducing the need for point solutions.
Dapta is a conversational AI platform, priced at $99 a month on the Pro plan, integrating with HubSpot, GoHighLevel, Salesforce and Calendly. InnovaAI rates it 5.5 of 10 for agency resale.
Agency Audit
Dapta builds conversational AI agents that handle inbound calls, qualify leads, book appointments, and update CRM records without manual handoff. It integrates natively with HubSpot, GoHighLevel, Salesforce, Calendly, and Zapier, making it viable for agencies serving SMBs, real estate, law firms, and home services. The resale case is strongest for agencies already managing client CRM workflows; you can white-label agents and charge per-client retainers. Pricing starts at $99/month (100k credits, 5 users), scaling to $1,499/month (1.5M credits, unlimited users), so margin depends on client call volume and your markup.
5.5/10
48%
1w about a week
- Your clients are service businesses (real estate, law, home services, education) where inbound call qualification is a revenue driver and you can justify a $200-400/month retainer per client.
- You already resell HubSpot or GoHighLevel and want to bundle AI call handling as an upsell without integrating a separate vendor.
- You have 10+ client accounts and can negotiate volume pricing or a custom plan to improve per-client margins.
- Your clients are e-commerce or product-focused businesses where inbound calls are not a core revenue lever; Dapta's value proposition is weakest here.
- You need HIPAA or PCI compliance guarantees; the content does not publish compliance certifications beyond standard security.
- You want a fixed-cost white-label offering; Dapta's consumption-based credits mean you cannot offer a true flat-fee retainer without absorbing variable costs.
Profit Path
$99/mo
$1.5K–$3.7K/project
Monthly Recurring
From 242 published agency rates in the United States, 25th to 75th percentile times 50 h of assumed delivery time. Rates are self-reported directory profiles, not observed transactions.
Platform Features
Core capabilities of Dapta
Inbound call handling with AI receptionist
Dapta answers incoming calls, qualifies callers, and routes or books appointments without human intervention. Agencies can deploy this for clients in minutes, reducing the need for dedicated reception staff and improving lead capture during off-hours.
Lead qualification via voice and text
AI agents conduct multi-turn conversations to assess prospect fit, collect contact details, and score readiness. One verified user reported lead qualification time dropped from weeks to hours, making this a strong selling point for sales-focused clients.
Automatic CRM record updates
Conversation data flows directly into HubSpot, GoHighLevel, or Salesforce without manual entry. Agencies eliminate data-entry bottlenecks and ensure client CRM hygiene, reducing friction in the sales pipeline.
Appointment booking automation
Agents check calendar availability (via Calendly or native integration) and book meetings in real time. Clients no longer need back-and-forth email chains, and agencies can charge a per-booking or monthly retainer for this workflow.
Multi-workspace and multi-user setup
The Scale Up plan ($499/month) supports unlimited users and 25 workspaces, allowing agencies to isolate client accounts and assign team members per client. This structure supports white-label resale without exposing one client's data to another.
Automated follow-ups and nurture sequences
Dapta sends triggered messages and nurture campaigns based on conversation outcomes. Agencies can use this to keep warm leads engaged without manual outreach, extending the value of each inbound interaction.
What Makes Dapta Different
Unique advantages vs similar tools in this niche
All-in-one voice and text agent platform
vs Separate voice bot and SMS automation toolsDapta combines AI voice calls, SMS, WhatsApp, and text agents in one platform.
2-minute setup to first AI agent
vs Competitors requiring days of configurationDapta claims users can go from zero to their first AI agent in two minutes.
Pre-built agent roles
vs Generic chatbot builders requiring custom workflowsDapta offers ready-made AI receptionist, lead qualifier, sales follow-up, support, and onboarding agents.
Investment ROI Calculator
Value equation analysis for Dapta, based on the Hormozi framework
What is the Hormozi framework? A four-factor score: (what the service delivers × how reliably it delivers) divided by (how long it takes × how much effort it requires). A higher Value Multiplier means a better return on the time and money invested: faster, easier, and more proven results.
2.7× value multiple: invest $99/mo and agencies typically charge $1.5K–$3.7K/project for the work it powers.
Why This Succeeds
Higher is betterClient Results Potential
What your clients actually get
Meaningful improvements: delivers clear, demonstrable value to clients
Dapta cuts lead qualification from weeks to hours, delivering high-quality, ready-to-convert leads instantly.
Reliability Score
How consistently this delivers results
Reliable with proper setup: most agencies see consistent delivery
Trusted by 50,000+ companies
Implementation Challenges
Lower is betterTime to First Revenue
How long until you can start earning
Longer ramp-up: cut to 1 day with Academy SOPs
Expect a few days from signup to first client delivery
Setup Effort
What it takes to get running
Near-turnkey: minimal setup before you can sell
High effort: requires technical configuration and team training
Strong ROI. Dapta at $99/mo supports market rates of $1.5K–$3.7K. Its 2.7× value-equation score weighs client outcome and likelihood against the time and effort to deliver, not cost.
Pricing
Dapta platform cost to your agency
Starts at $99/mo (Pro), scales to $1.5K/mo (Prime)
Pro
- 100k Credits
- Unlimited Agents
- Unlimited Flows
- 5 Users
Scale Up
- 500K Credits
- Unlimited Agents
- Unlimited Flows
- Unlimited Users
Prime
- 1.5M Credits
- Unlimited Agents
- Unlimited Flows
- Unlimited Users
Custom
- Consumption-based credits
- Unlimited Agents
- Unlimited Flows
- Unlimited Users
No verified white-label program for Dapta: client-facing delivery runs under the platform's native branding.
Market Intelligence
How agencies monetize Dapta: real offer economics and market positioning
- SMB service businesses
- Real estate agencies
- Law firms
- Enterprise-only agencies
- Agencies without sales or customer service needs
Project-Based
ai-toolsAgency charges per-project fee for implementation. Ongoing optimization as optional retainer.
Offer Economics: What You Charge vs. What It Costs
Margin includes platform cost + agency labor at $75/hr.
Local service businesses (clinics, salons, law offices) needing automated call handling and appointment booking
Growth-stage SMBs with active sales teams needing AI-driven lead qualification and pipeline automation
Mid-market companies (50–500 employees) requiring AI agents across sales, support, and onboarding workflows
Enterprise organizations (500+ employees) deploying AI voice and text agents at scale across multiple departments or business units
Scale Economics: Based on Starter Offer
Using Dapta Starter Voice Agent at $5K/client. Platform: $99/mo. Labor: 8h/client × $75/hr.
Net = MRR - platform cost - labor (8h/client × $75/hr).
Investment Decision Framework
Strategic vetting analysis for Dapta
Consider
Favorable fit, worth a closer look
Buy If
4Your clients are service businesses (real estate, law, home services, education) where inbound call qualification is a revenue driver and you can justify a $200-400/month retainer per client.
You already resell HubSpot or GoHighLevel and want to bundle AI call handling as an upsell without integrating a separate vendor.
You have 10+ client accounts and can negotiate volume pricing or a custom plan to improve per-client margins.
Your clients need appointment booking automation tied to their calendar and CRM, and you want a single platform instead of Calendly plus a separate AI tool.
Skip If
4Your clients are e-commerce or product-focused businesses where inbound calls are not a core revenue lever; Dapta's value proposition is weakest here.
You need HIPAA or PCI compliance guarantees; the content does not publish compliance certifications beyond standard security.
You want a fixed-cost white-label offering; Dapta's consumption-based credits mean you cannot offer a true flat-fee retainer without absorbing variable costs.
Your clients operate in non-English markets; the content does not specify multilingual voice agent support.
Bottom Line
Dapta builds conversational AI agents that handle inbound calls, qualify leads, book appointments, and update CRM records without manual handoff. It integrates natively with HubSpot, GoHighLevel, Salesforce, Calendly, and Zapier, making it viable for agencies serving SMBs, real estate, law firms, and home services. The resale case is strongest for agencies already managing client CRM workflows; you can white-label agents and charge per-client retainers. Pricing starts at $99/month (100k credits, 5 users), scaling to $1,499/month (1.5M credits, unlimited users), so margin depends on client call volume and your markup.
Reality Check
Dapta's credit-based consumption model means your margin erodes if a client's call volume spikes unexpectedly. You'll need to monitor usage per client and either adjust retainer pricing or absorb overages, creating operational friction that flat-fee retainers don't have.
High effort: requires technical configuration and team training
Academy for Dapta
Work through it in order: the course for this service first, then the modules behind it.
No Academy modules are published for this service yet. Browse the full Academy
Why this category matters
The commercial case before the tooling.
Core concepts
The mental model you need to price and scope the work.
- Residual Labor LedgerConcept
Residual Labor Ledger is a costing discipline: before pricing an AI voice agent retainer, count the human work that survives deployment. Every voice deployment leaves a tail of tasks (transcript review, escalation handling, consent logging, prompt repair after a bad call) and that tail, not the per-minute rate, decides whether the retainer holds margin. The framework asks agencies to log four numbers per client: calls handled without touch, escalations per 100 calls, minutes of human review per call, and cost per resolved call. Trillet's audit-trail design and identity verification reduce the review tail in regulated verticals, while Goodcall-style self-serve builds shift more repair work onto the agency. Forrester's 2027 predictions warn that AI budgets face P&L scrutiny rather than pilot credit, so a retainer priced on usage cost alone will look profitable in month one and thin by month six. Price after the ledger, not before.
- Escalation Fidelity ThresholdConcept
Escalation fidelity is the share of calls an AI voice agent routes to the right human, with the right context, at the right moment. It is the number that decides whether an agency voice retainer survives renewal, because a booking agent that handles 80 percent of calls but dumps the remaining 20 percent into a queue without caller history creates more client complaints than a missed call ever did. Measure it before pricing: pull 50 real call recordings, tag every handoff, and count how often the agent recognized the trigger (billing dispute, clinical question, angry caller) and passed a usable summary. Trillet's identity verification and audit trail exist precisely because regulated clients treat a mis-routed handoff as a compliance event, while Goodcall-style inbound capture leans on CRM sync to make the transfer legible. Agencies that quote a flat monthly fee before running this test are pricing blind.
- Consent Surface MappingConcept
Consent Surface Mapping treats every call recording, transcript, and outbound dial as a regulated artifact before it is a product feature. The framework asks agencies to chart three surfaces per client: what callers are told at the start of a call, what the voice system stores afterward, and which jurisdictions the calls touch. Each surface caps what the agent is allowed to do, so scope decisions follow disclosure rules rather than the reverse. This matters because voice deployments fail audits on recording consent and outbound dialing rules far more often than on latency or voice quality. A concrete case: Trillet verifies caller identity to compliance standards and keeps a full audit trail, which suits healthcare and legal retainers where an unlogged action is itself the liability. Agencies that map consent first can price a retainer against a defined scope; those that skip it discover the ceiling after the client's counsel reads the call flow.
Decision and risk
How to judge the fit, and the ways it goes wrong.
- Voice Agent Rule: Price the Retained Labor Before the RetainerEvaluation Rule
Do not quote a retainer until you have scored 50 to 100 real call recordings for escalation accuracy, latency, and post-call human minutes, then priced the labor that remains.
- Voice Agent Rule: Audit Escalation Accuracy on Real Calls Before Any Client RetainerEvaluation Rule
Run at least 50 real client call recordings through the candidate agent and measure escalation accuracy, latency, and consent handling before you quote a retainer.
- AI Voice Agent Decision: Metered Build vs Managed ResaleDecision Framework
IF a client's call volume, after-hours miss rate, and handoff rules can be measured from real recordings, THEN build a metered voice agent on conversational infrastructure and bill per resolved call. IF those inputs are unknown or the client cannot staff escalation review, THEN resell a managed white-label receptionist on a flat retainer and absorb the usage risk.
- Why AI Voice Agents Stall at the Handoff in Agency DeliveryFailure Pattern
- The Demo-Call Trap: Why AI Voice Agent Retainers Break on Real Call VolumeFailure Pattern
Delivery system
Blueprints and procedures for running it as a service.
- Missed-Call Recovery Voice Agent Offer (10-14 days)Implementation Blueprint
A productized engagement that deploys an AI voice agent to recover missed inbound calls, book appointments, and route escalations for service-business clients, priced only after real call samples and handoff rules are measured.
- Voice Agent Pilot Gate (Onboarding)Operating Procedure
- Call Sample Review Board (QA)Operating Procedure
- Missed-Call Recovery Handoff (Handoff)Operating Procedure
13 modules selected for Dapta
Real User Results
What agencies say about Dapta
“Una excelente empresa de agentes de IA”
Una excelente empresa de agentes de IA
Read on Trustpilot“Great tool and product”
Great tool and product
Read on Trustpilot“What an awesome team and traning…”
What an awesome team and traning classes, the tool is just great and we are exited to put it to work on all our inner sales processes.
Read on TrustpilotFrequently Asked Questions
Answers about pricing, setup, implementation, and more
Dapta builds conversational AI agents that handle inbound calls, qualify leads, book appointments, and update CRM records automatically. Agents are trained on client business data and integrate with HubSpot, GoHighLevel, Salesforce, Calendly, and Zapier. Agencies deploy agents for clients in sales, support, and onboarding workflows without requiring separate tools for each function.
Dapta lists 4 plans; the paid ones run from $99 a month (Pro) to $1499 a month (Prime). The typical margin on reselling Dapta is 48% of the fee, after the platform and labor at $75 an hour.
No verified white-label program is documented. Client-facing surfaces display the Dapta brand, so you cannot present a fully branded portal to end clients. You can resell Dapta as a managed service under your own brand (handling setup and support), but the agent interface itself will show Dapta branding.
Yes. Dapta has native integrations with both HubSpot and GoHighLevel, allowing agents to read and write contact records, log calls, and trigger workflows. It also integrates with Salesforce, Calendly, Zapier, Slack, and Twilio, so you can connect Dapta to most client tech stacks without custom development.
Setup time depends on agent complexity and CRM configuration. Once your agency parent account is configured, deploying a basic inbound call handler or lead qualification agent typically takes 15-30 minutes. More complex multi-step workflows (e.g., qualification plus appointment booking plus CRM sync) may require 1-2 hours of configuration and testing.
Dapta works best for SMB service businesses including real estate agencies, law firms, home services companies, and education institutions. These verticals rely on inbound calls and appointment booking, making AI call handling and lead qualification high-ROI. E-commerce and product-focused businesses are lower-priority targets unless they have significant inbound support volume.
Dapta uses a credit-based consumption model. The Pro plan includes 100k credits per month, Scale Up includes 500k, and Prime includes 1.5M. Each inbound call, text interaction, or CRM update consumes credits. You will need to monitor per-client usage and either adjust retainer pricing, set usage caps, or absorb overages. Dapta does not publish a per-credit cost, so clarify overage pricing with sales before committing to client contracts.
Yes. The Scale Up plan ($499/month) supports 25 workspaces and unlimited users, allowing you to isolate each client's agents, flows, and data. The Prime plan ($1,499/month) supports 70 workspaces. This structure is designed for agencies managing multiple clients, though you will need to track usage per workspace to bill clients accurately.