Best Voice AI for Agencies (2026)

For a no-code agency white-label resale use case, Voiceflow offers full white-label support and sub-accounts versus Vapi's only partial white-label support. Both platforms have no-code builders and self-serve signup, but full white-label capability is a decisive differentiator for agencies reselling to clients. Voiceflow's estimated $60/mo platform fee is a cost consideration, but Vapi's partial white-label is a functional gap that outweighs pricing for this specific use case.

For no-code agency deploys with white-label resale, Voiceflow offers full white-label and sub-account support while Retell AI's support is only partial. Both have no-code builders and self-serve signup. On cost, Voiceflow carries a $60/mo platform fee versus Retell AI's $0/mo, but Voiceflow's lower base per-minute rate of $0.05 versus $0.07 and full white-label capability matter more for agency resale margins and branding requirements. The full white-label feature is the decisive factor here.

Voiceflow explicitly supports white-label and sub-accounts for agencies, a feature not mentioned for ElevenLabs Agents. Both tools offer no-code builders, but Voiceflow also includes a simulation and testing suite and outbound campaigns, rounding out a full agency deployment toolkit. ElevenLabs Agents has no white-label capability in the fact set, making Voiceflow the clear winner for no-code agency deployments and white-label resale.

For no-code agency deploys with white-label resale, Voiceflow has a decisive advantage. Voiceflow supports white-label and sub-accounts for agencies, while Bland AI explicitly does not support white-label. Both tools have no-code builders, but the white-label requirement alone eliminates Bland AI for this use case entirely.

For a no-code agency deploying and white-labeling, Retell AI wins on both critical dimensions. It has a no-code agent builder while Vocode explicitly does not. On white-label and sub-accounts, Retell AI offers partial support versus none from Vocode. These two facts are decisive for the stated use case. Retell AI also adds an affiliate program and native integrations including Go High Level, which is commonly used by agencies.

For no-code agency deploys and white-label resale, Retell AI offers a dedicated no-code agent builder while Ultravox does not. Retell AI also provides partial white-label and sub-account support for agencies, while Ultravox offers none. Additionally, Retell AI includes a simulation and testing suite and broader native integrations including Go High Level and HubSpot, all critical for agency workflows. Ultravox lacks these features entirely.

Both tools offer partial white-label and no-code builders, but Retell AI has a $0/mo platform fee versus Thoughtly's $500/mo fee, making it far more accessible for agencies testing or scaling deployments. Retell AI also supports self-serve signup, letting agencies onboard clients without sales friction, while Thoughtly requires no self-serve access. Retell AI's base concurrency of 20 calls versus Thoughtly's 10 further helps agencies handle more simultaneous clients. Thoughtly's 200+ native integrations are a plus, but cost and accessibility weigh decisively in favor of Retell AI for no-code agency resale.

For no-code agency deployments and white-label resale, Retell AI offers a no-code agent builder while Ringly.io explicitly does not. On white-label and sub-accounts, Retell AI provides partial support while Ringly.io offers none. Retell AI also includes 20 concurrent calls on its base plan versus Ringly.io's 1 line, and charges a $0 per month platform fee versus Ringly.io's $349 per month. These differences make Retell AI far more practical for agencies scaling multiple client deployments.

For agency white-label resale, Retell AI offers partial white-label and sub-account support while Phonely explicitly has none. Both have no-code agent builders and self-serve signup, so those features tie. Retell AI also has an affiliate program that supports agency business models. The white-label gap is the decisive differentiator here, even though Retell's support is only partial rather than full.

For no-code agency deploys with white-label resale, Retell AI offers partial white-label support and sub-account management, plus native integrations with Go High Level and HubSpot, which are core agency tools. Millis AI has no white-label capability on record, and its integrations list lacks both GHL and HubSpot. Both platforms offer no-code builders, but Retell's agency-relevant integrations and partial white-label capability tip the balance in its favor.

For no-code agency deploys and white-label resale, Retell AI offers a no-code agent builder (versus none in LiveKit), partial white-label support (versus none in LiveKit), native outbound campaigns, and a broader native integrations list including Go High Level, HubSpot, Make, and Zapier-compatible tools. LiveKit explicitly lacks a no-code builder and white-label capability, making it unsuitable for non-technical agency workflows. Retell also offers 20 concurrent calls on its base plan versus LiveKit's 5, giving agencies considerably more headroom.

Retell AI offers a no-code agent builder and partial white-label and sub-account support for agencies, plus native outbound campaigns and a broad integration list that includes Go High Level, a standard agency CRM. Dasha has no comparable no-code builder or white-label features in the provided data, and its base concurrency is only 1 call versus Retell's 20, making it far less practical for multi-client agency deployments right out of the box.

Both tools offer partial white-label support and no-code agent builders. Retell AI edges ahead for agencies due to lower real production costs (0.085-0.415 vs 0.05-0.17 USD/min at worst case is actually Retell higher, but base per-min is $0.07 vs $0.05). However Retell AI has SOC 2 Type II (Vapi does not), no annual contract required (Vapi requires annual for best pricing), lower extra concurrency cost at $8/mo vs $10/mo, and 20 base concurrent calls vs 10. For agencies scaling multiple client deployments, the higher base concurrency, no annual lock-in, and SOC 2 certification provide meaningful advantages.

For a no-code agency that needs to white-label and resell, Vapi offers a no-code agent builder while Vocode explicitly has no no-code builder. On white-labeling, Vapi provides partial support while Vocode has none. Both dimensions directly relevant to this use case point to Vapi, making it the clear winner.

For a no-code agency needing white-label resale, Vapi offers a no-code agent builder while Ultravox explicitly lacks one. Vapi also provides partial white-label and sub-account support, whereas Ultravox has none. Additionally, Vapi provides a broader native integration set including GHL, Zapier, and Make, which are common agency tools, compared to Ultravox's telephony-only partner integrations. All three dimensions favor Vapi decisively for this use case.

For no-code agency deploys and white-label resale, Vapi wins on every critical dimension. Vapi has a no-code agent builder while Ringly.io does not. Vapi offers partial white-label support and sub-accounts while Ringly.io has neither. Vapi also starts at $0 per month in platform fees versus Ringly.io at $349 per month, drastically lowering the barrier for agencies. Vapi supports native outbound campaigns and broader integrations including GHL and Zapier, both essential for agency client deployments.

For white-label resale, Vapi offers partial white-label and sub-account support while Phonely explicitly has none. Both have no-code builders and self-serve signup, so those factors cancel out. Vapi's partial white-label capability is a meaningful differentiator for agency resale scenarios, even if not a complete solution. The $50M Series B funding also signals more resources for agency-facing features. The win is narrow because Vapi's white-label is only partial, not full.

For no-code agency deployments and white-label resale, Vapi offers partial white-label and sub-account support plus a richer native integration set including GHL and Zapier, both of which are key agency tools. Millis AI has no white-label fact recorded and fewer agency-relevant integrations. Both platforms provide no-code builders, but Vapi's GHL integration and partial white-label capability give it a concrete edge for agency resale workflows.

For no-code agency deployments and white-label resale, Vapi wins on both critical dimensions. It offers a no-code agent builder while LiveKit Agents explicitly has none. On white-label support, Vapi provides partial sub-account capability while LiveKit offers none. Vapi also adds native outbound campaigns and a testing suite, making it far more accessible for agencies without deep engineering resources.

Vapi has a no-code agent builder and partial white-label sub-accounts for agencies, directly matching both requirements of the use case. Dasha is API-first with no evidence of a no-code builder or white-label capability. Vapi also includes native integrations with GHL, Zapier, and Make, which are commonly used in agency workflows. These differentiators decisively favor Vapi for a no-code agency deploy and resale scenario.

For a no-code agency deploying and white-labeling, ElevenLabs Agents offers a no-code agent builder while Vocode explicitly does not. Neither tool offers white-label sub-accounts, so that dimension is a tie. The presence of a no-code builder is a decisive differentiator for agencies that need to deploy quickly without engineering resources, giving ElevenLabs Agents a narrow but clear edge on the no-code side of the use case.

For no-code agency deploys and white-label resale, ElevenLabs Agents has a no-code agent builder while Ultravox explicitly lacks one. Ultravox also has no white-label or sub-account support, a critical gap for agencies reselling to clients. ElevenLabs supports 70 languages vs Ultravox's 26 (fact 7340f19b vs 9b20a3df), broadening agency reach. These gaps make Ultravox unsuitable for this use case.

Ringly.io explicitly lacks both a no-code agent builder and white-label/sub-account support, two features critical for agency deployments. ElevenLabs Agents offers a verified no-code builder and charges no $349/mo platform fee, making onboarding and cost scaling more practical. ElevenLabs does not have confirmed white-label support either, so the advantage rests on its no-code builder and zero platform fee compared to Ringly.io, which is missing both the no-code builder and white-label support.

Phonely explicitly lacks white-label and sub-account support, which is a direct disqualifier for white-label resale. ElevenLabs Agents has no confirmed white-label feature either, but the absence of a disqualifying fact makes it the less-worse option against Phonely's explicit no. Both tools support no-code agent builders. ElevenLabs also holds Series D funding, suggesting greater platform maturity. This is a narrow win rather than a clear one, since ElevenLabs white-label support is not positively confirmed.

Both tools offer no-code builders and self-serve signup, but ElevenLabs Agents has a 75 ms median latency versus Millis AI at 600 ms, which matters for client-facing deployments. ElevenLabs also supports 70 languages and offers a strong affiliate program at 22% recurring for 12 months, suiting agency resale economics. Millis AI has a base price of $0.02/min, but real costs reach $0.06 to $0.66/min, narrowing that gap. ElevenLabs Series D funding further signals stronger platform stability for agency commitments.

For no-code agency deploys and white-label resale, ElevenLabs Agents has a native no-code agent builder, which LiveKit explicitly lacks. Neither tool offers white-label sub-accounts: LiveKit explicitly states no, and ElevenLabs has no supporting fact for white-label either. ElevenLabs wins narrowly because its no-code builder directly enables non-technical agency users to deploy agents, which is the core requirement, while LiveKit requires code for every deployment.

ElevenLabs Agents includes a verified no-code agent builder, which is directly required for no-code agency deployments. Its base price of $0.05/min is lower than Dasha's $0.08/min, reducing resale margin pressure. Dasha is API-first and lacks a confirmed no-code builder, making deployment without developer resources harder. ElevenLabs also supports 70 languages, broadening resale appeal. The margin is narrow because white-label specifics are not confirmed for either tool.

Both tools offer partial white-label and no-code agent builders. Thoughtly claims 200+ native integrations, including HubSpot and Salesforce, which agencies commonly need for client deployments, compared to Vapi's shorter list. On pricing, Vapi charges no platform fee but requires an annual contract for best rates, while Thoughtly at $500 per month has no annual contract requirement, giving agencies predictable and flexible billing. Thoughtly also holds SOC 2 Type II certification, which adds client trust, whereas Vapi does not. These factors favor Thoughtly for agency use, though neither tool clearly dominates on white-label depth.

Thoughtly offers partial white-label and sub-account support plus 200+ native integrations, including HubSpot and Salesforce, which are critical for agency resale workflows. Both tools include a no-code builder, but ElevenLabs Agents has no white-label capability mentioned in the facts. The $500/mo platform fee is a drawback for Thoughtly, though agencies reselling at scale can absorb it in exchange for white-label branding and a broader integration ecosystem. ElevenLabs Agents imposes no self-serve restrictions on end clients but lacks agency-specific white-label functionality entirely.

For no-code agency deploys with white-label resale, Thoughtly offers partial white-label support while Bland AI has none. Thoughtly also provides 200+ native integrations including HubSpot and Salesforce, which agencies typically need to connect client stacks. Both have no-code builders, but Thoughtly's white-label capability, however partial, is the decisive differentiator for resale use cases. The margin is narrow because Thoughtly's $500/mo platform fee raises the cost of entry versus Bland AI's $0/mo, and Bland AI requires no sales call via self-serve signup.

For no-code agency deploys, the key differentiator is the no-code agent builder. Bland AI has one while Vocode explicitly does not. However, neither tool supports white-label or sub-accounts, so the white-label resale requirement goes unmet by both. Bland AI wins narrowly because its no-code builder satisfies at least half the use case, while Vocode falls short on both the no-code and white-label dimensions.

Bland AI offers a native no-code agent builder, while Ultravox does not (facts 2618ade6 vs 9049ca31). Neither tool supports white-label or sub-accounts (facts 53004a40 and 7bead963), so that dimension is a tie. For agencies that need non-developer deployment workflows, Bland AI's no-code builder is the decisive differentiator.

For no-code agency deployments, Bland AI offers a native no-code agent builder while Ringly.io does not (facts 2618ade6 vs a29818af). Neither tool supports white-label resale (facts 53004a40 and 1dbae4c0), so that dimension is a tie. The no-code builder is a decisive differentiator for agencies that need to build and deploy agents without writing code. Bland AI also charges a $0 platform fee versus Ringly.io's $349/mo (facts dd0ec5e0 and 24c72d24), lowering the barrier for smaller agency deployments. The margin is narrow only because neither platform offers white-label resale.

For no-code agency deploys, Bland AI offers a native no-code agent builder while LiveKit Agents does not. Neither tool supports white-label or sub-accounts, so that dimension is a tie. Bland AI's no-code builder is a decisive advantage for agencies that need non-developer deployment, making it the better fit despite the white-label gap on both sides.

Neither tool offers white-label sub-accounts. Bland AI explicitly lacks white-label support, and no white-label fact exists for Dasha either. For no-code deployment, Bland AI has a confirmed no-code agent builder, a $0/mo platform fee, self-serve signup, and 10 concurrent calls on the base plan, versus Dasha's 1 concurrent call at base (fact 7dac60ee-6085). Bland AI is narrowly better for the no-code deployment side of the use case, but neither tool satisfies the white-label resale requirement.

Low-latency voice agents. No won verdicts for this use case yet; it ranks on ties and near-misses.

SMB AI receptionist. No won verdicts for this use case yet; it ranks on ties and near-misses.

Dev platform, conversational AI. No won verdicts for this use case yet; it ranks on ties and near-misses.

Realtime infra + agents (OSS + cloud). No won verdicts for this use case yet; it ranks on ties and near-misses.

Ecommerce phone agents. No won verdicts for this use case yet; it ranks on ties and near-misses.

Realtime speech model + platform. No won verdicts for this use case yet; it ranks on ties and near-misses.

Open-source framework. No won verdicts for this use case yet; it ranks on ties and near-misses.