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

How do Bland and PolyAI compare?

The biggest difference between Bland and PolyAI is who does the work. Bland is a platform that a customer's team builds on, and it builds and runs its own language, speech, and transcription models, with a language model that is closed source and developed in-house. PolyAI is a managed service, and PolyAI's team builds and runs an agent for a customer.

PolyAI builds its own Raven language model and also offers OpenAI and Amazon Bedrock models beside it, so a PolyAI call can reach more than one AI company.

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 it reaches a caller. 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.

Customers choose which release of the Bland platform they run, and Bland never pushes updates onto them. A new Bland agent version can roll out to a small share of calls and pause when a KPI such as escalation rate gets worse.

Enterprise customers get dedicated orchestration and dedicated GPUs run by Bland. On Enterprise, which is priced to volume, forward-deployed engineers work beside a customer's team on its first agent. Enterprise also runs branded iMessage agents natively, which send and receive photos, videos, files, voice memos, and tapbacks, and share the same pathways as its voice agents.

PolyAI overview

PolyAI sells a managed voice and chat agent platform to large consumer-facing companies, from hotels and restaurants to insurers and telcos. PolyAI's agreement describes an initial build phase, Build Packages of "Person Days", and change orders when a change adds scope, which is how a managed service works: the vendor's people do the building and the customer pays for their time.

PolyAI says Raven is its proprietary model family, with 24+ languages and "sub-300ms latency", and says other models are available too.

PolyAI offers GPT models from OpenAI, plus Claude and Nova models through Amazon Bedrock, so a customer's choice of model decides how many companies sit on a call. PolyAI offers voice and web chat as its channels and says SMS "is only available for voice". PolyAI doesn't offer iMessage agents, so its agents reach customers by phone, chat, and SMS on voice calls.

What are the risks of running on a managed service built partly on other companies' models?

An agent that a vendor builds and runs on several companies' models puts a lot of decisions in the vendor's hands. A lab can change how a model behaves or retire it, and the agent changes with it, and each extra AI company is one more outside party for a security team to review.

Bland is full stack, so no outside AI lab sits in its call path, and its language model is a closed-source model that Bland developed itself.

How much do Bland and PolyAI cost?

Bland publishes a rate for every plan and PolyAI quotes one, so the two can't be put side by side on a single number as of November 2026. Bland costs $0.14 per minute on self-serve Start and $0.12 per minute on self-serve Build with a $299 monthly platform fee, all of it AI, and phone sits on top. Bland's rates against another platform are set out in Bland vs Synthflow.

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. 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 sit on Enterprise, which is priced to volume.

PolyAI pricing

PolyAI says ongoing use of its voice agent "is priced on a per-minute basis", and sells it by quote.

The one number it publishes is 2¢ per connected minute for its Dialog-RSN-1 model API, which lists telephony and orchestration as "Not included", so it prices a model and not a finished agent. A buyer budgeting a managed agent gets the figure from sales.

Billing time differs by product. PolyAI says its model API is "Billed on connected time, with no minimums and no rounding up to the minute", while its managed-service agreement says that for a call "the total handle time is rounded up to the next 30-second increment". On that managed rule a 31-second call bills as 60 seconds.

The agreement also sets a 14-day test window. PolyAI says it will "use commercially reasonable efforts" to tell a customer when use cases are ready for testing, but a notice is "deemed automatically given" on the ninetieth day after the order form starts, a customer then has 14 days to test, and use cases are "deemed accepted" when that period ends.

How do Bland and PolyAI handle security and uptime?

Bland and PolyAI both report SOC 2 Type II and ISO 27001, and they part ways on medical data, card data, and uptime. PolyAI says its systems are "designed to meet HIPAA" requirements where relevant and that it is "committed to complying with the PCI-DSS" for payment card data, which are intentions and not statements of a finished attestation.

Bland includes a BAA, the contract HIPAA requires before a vendor handles patient information, on Enterprise. Bland's security program self-attests to PCI DSS v4.0.1 and holds FedRAMP 20x Class A, and Bland offers a 99.9% uptime SLA on every plan.

PolyAI says "99.994% uptime in production", while its service level agreement commits to a minimum of 99.5% a month, and 99% when a use case relies on the public phone network. In a 30-day month, 99.5% allows up to 3.6 hours of downtime and 99% allows up to 7.2 hours. Security teams reviewing other vendors can read Bland vs Parloa next.

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.

Why is Bland the best PolyAI alternative for enterprises?

Bland is the best PolyAI alternative for enterprises because one company builds every AI model on a call, its self-serve rates are published, and Enterprise customers get dedicated orchestration and dedicated GPUs run by Bland. Bland is often the choice for enterprise customers, with more than 250 enterprise customers and over 1.3 billion calls handled.

A team can see a price before it talks to sales, change an agent without a change order, and put a call through a security review that covers one AI company. Callers hear a voice that ranked first among AI voices on Audio Realism Bench on 4 August 2026. Buyers shortlisting several vendors can also read Bland vs Decagon.

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 PolyAI were compared on who builds the agent, pricing, billing, voice realism, security, and uptime, using what PolyAI itself publishes on price, security, compliance, and models, plus its master services agreement, read on 5 November 2026. Voice scores come from Design Arena's chart of 4 August 2026.

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