Bland vs Decagon (2026): Which voice AI agent is best for enterprises?

How do Bland and Decagon compare?

The biggest difference between Bland and Decagon is who builds the AI on a call. Bland builds and runs its own language, speech, and transcription models, and its language model is closed source and developed in-house. Decagon builds some of its own models and relies on outside companies for others, so a single Decagon call can involve several companies' AI.

Bland overview

Bland is a full stack voice AI provider for enterprises and contact centers running high-stakes calls at volume, both inbound and outbound. It publishes sub-200ms latency, and its agents answer from a team's own knowledge bases, run batches of outbound calls, and report on each call afterwards.

Teams build calls in Pathways, which lays a conversation out as connected steps that can be tested before launch. A testbed re-runs one turn from a real conversation against an edited prompt, so a fix can be checked before a caller hears it.

Bland's release gates move an agent from staging to production only when chosen simulated test cases pass chosen judges.

Bland connects to an existing carrier over SIP, the standard link between a phone system and a voice platform, so numbers can stay where they are. Enterprise customers get dedicated orchestration and dedicated GPUs run by Bland. On Enterprise, which is priced to volume, branded iMessage agents share the same pathways as its voice agents.

Decagon overview

Decagon sells AI agents for customer support across chat, email, and voice, and says it "unifies chat, voice, and email within a single intelligence layer". Decagon voice supports 70+ languages with automatic detection, hundreds of voices including custom-tuned ones, interruption handling, outbound calling, and transfers to a human agent with a concise summary.

Decagon says its voice agents are "Built on Chord, our own speech model", and it also says "We use both models from the frontier labs, along with our models developed by Decagon Labs". So the voice is partly Decagon's own and partly bought in.

Decagon doesn't offer iMessage agents, so its agents reach customers through chat, SMS, email, and voice.

What are the risks of running on mixed models?

An agent built partly on other companies' models inherits their decisions. A lab can change or retire a model and the agent changes with it, and a lab outage reaches callers. Decagon says "We continue to build on leading models while developing specialized models for the demands of customer experience", which means part of a Decagon agent follows whichever outside models Decagon builds on.

The list of outside companies is long. Decagon says it "enforces zero-data retention with all AI providers like OpenAI and Anthropic", while its subprocessors, the outside companies that process a customer's data, include the language model companies OpenAI, Anthropic, Cohere, and xAI, the text-to-speech companies ElevenLabs and Cartesia, and Soniox for real-time speech-to-text. A security review covers each AI company on that list.

Bland is full stack and runs its own language, speech, and transcription models, so no outside AI lab sits in its call path. That means a security team reviews one AI company and one set of terms. Buyers who are also weighing a platform built around a bank or telecom deployment can read Bland vs Cognigy for the same question about who builds the AI.

How much do Bland and Decagon cost?

Bland publishes $0.14 a minute on self-serve Start and $0.12 a minute on self-serve Build, both covering all of its AI, while Decagon publishes no rate at all, as of November 2026. Phone is billed separately on Bland, and Decagon prints no phone price.

Enterprise pricing is custom, set with Bland's sales team.

Bland pricing

Bland publishes one number per plan, and that number covers the language model, transcription, and speech, with no token charges. Start has no platform fee, and Build adds $299 a month. Phone is billed separately, on a customer's own carrier or on Bland's at pass-through cost, as are transfer minutes and a $0.015 minimum on each outbound attempt using Bland's telephony.

Warm transfer, dedicated GPUs run by Bland, and a BAA, the contract HIPAA requires before a vendor handles patient information, sit on Enterprise, which is priced to volume.

Decagon pricing

Decagon describes two models. Decagon says "Per-conversation pricing: A fixed rate for every incoming conversation, with flexible pricing for higher volumes." and "Per-resolution pricing: A higher fixed rate for each fully resolved conversation, with no charge for escalations."

Decagon adds "Larger resolution commitments lower the rate." Neither rate is printed, and Decagon had no public pricing page on 5 November 2026, so a buyer gets a quote from sales.

The unit matters as much as the number. A minute is measured by a clock and a conversation by a count, while a resolution rests on a judgement about whether a caller's problem was solved. Decagon's pricing explainer says resolution-based pricing has trade-offs: "Gray areas can lead to billing disagreements." and "Resolutions may vary month-to-month, making it tough to forecast costs compared to usage-based pricing."

A buyer comparing the two can ask Decagon for its rate per conversation and its written definition of a resolution, then divide by average call length in minutes to reach a figure that sits beside Bland's self-serve $0.14 or $0.12, and phone bills on top of either.

How do Bland and Decagon handle security and uptime?

Bland and Decagon both report SOC 2, ISO 27001, and GDPR compliance, and they part ways on redaction and uptime. Decagon reports HIPAA and PCI DSS 4.0.1. Bland includes a BAA on Enterprise, and its security program self-attests to PCI DSS v4.0.1 and holds FedRAMP 20x Class A.

On redaction, Decagon says "Sensitive data is automatically detected and redacted using Google’s DLP service, sanitizing logs and transcripts just after a conversation ends." Bland redacts personal details from recordings and transcripts in real time.

On uptime, Decagon has "Platform uptime SLAs" under security, with no figure given. Bland offers a 99.9% uptime SLA on every plan, a service level agreement being the uptime commitment a vendor writes into a contract.

Bland also runs its own SIP signaling and media servers, so every call is set up and processed on Bland infrastructure with no third-party telephony provider in the path. Guardrails check a call throughout, and four TCPA guardrails come built in: AI disclosure, recording disclosure, self-introduction, and opt-out.

Why is Bland the best Decagon alternative for enterprises?

Enterprises choose Bland over Decagon for phone support because one company builds every AI model on a call, a per-minute self-serve rate is published, and Enterprise customers get dedicated orchestration and dedicated GPUs run by Bland. Bland serves more than 250 enterprise customers and has handled over 1.3 billion calls.

A security team reviews one AI company instead of a list of subprocessors, finance can price a call without waiting for a quote, and callers hear a voice that ranked first among AI voices on Audio Realism Bench on 4 August 2026. Teams that want Pathways' visual builder or forward-deployed engineers on a first launch can have either, because Bland isn't a developers-only product.

Teams comparing other enterprise voice platforms can also look at Bland vs Parloa and Bland vs PolyAI.

What results look like with Bland

Idaho Housing and Finance Association saves $750,000 a year by replacing its IVR with Bland, which handles 4,000 inbound calls a day and cut average call time by 20%.

"We save thousands of dollars a day."

Greg Blake, Chief Information Officer, Idaho Housing and Finance Association

How was this comparison made?

Bland and Decagon were compared on who builds the AI, pricing unit, voice realism, redaction, security, and uptime, using what each company published on 5 November 2026. Voice scores come from Design Arena's chart of 4 August 2026.

A demo built on a real support queue is the quickest next step, and this Decagon review and Bland's comparison hub go further, as do its Decagon alternative for enterprises page and Best Decagon alternatives list.