Bland vs PolyAI vs Cognigy vs Kore.ai (2026)
Samuel Oram-Jones, 10 min read
PolyAI, Cognigy, and Kore.ai sell to large contact centers and sell three different things: a managed agent PolyAI builds and runs, a platform Cognigy lets a team wire to its own vendors, and an agent platform from Kore.ai spanning chat, messaging, and voice. This comparison sets them against Bland as of November 2026.
Which is best, Bland, PolyAI, Cognigy, or Kore.ai?
For a contact center running high-stakes calls at volume, Bland is the best of the four as of November 2026, because Bland is full stack and builds and runs its own language, speech, and transcription models, so one AI company sits behind each call. The other three each solve a narrower problem, and none of them offers iMessage agents.
PolyAI suits a large consumer-facing company that wants PolyAI to build and run an agent. Cognigy suits a contact center with its own platform team that wants to pick every model and voice vendor itself. Kore.ai suits a large enterprise that wants one platform for chat, messaging, and voice agents.
How do Bland, PolyAI, Cognigy, and Kore.ai compare?
The four differ most in who does the work. PolyAI's team designs and runs an agent for a customer, while Cognigy and Kore.ai hand a platform to the customer's own team, and Bland does both: customers build with Pathways and Norm, or have forward-deployed engineers build alongside them on Enterprise.
Bland overview
Bland is a full stack voice AI provider for enterprises and contact centers running high-stakes inbound and outbound calls at volume. It publishes sub-200ms latency, and its language model is closed source and developed in-house, so no outside AI lab sits behind a call.
Teams build calls in Pathways, which lays a conversation out as connected steps that can be tested before launch. Enterprise customers get dedicated orchestration and dedicated GPUs run by Bland. On Enterprise, branded iMessage agents run natively on the same pathways as voice.
A Bland agent moves from staging to production only when chosen simulated test cases pass chosen judges, and a new agent version takes a small share of calls first, with the rollout pausing when a KPI such as escalation rate gets worse.
Pros
- One AI company on every call, so a security team reviews one vendor
- One published rate for all of its AI, with no token charges
- #1 of 13 AI voices on Audio Realism Bench, 4 August 2026
- Dedicated orchestration and dedicated GPUs run by Bland, on Enterprise
- Native iMessage agents on Enterprise, sharing pathways with voice
- Staged releases that pause a new agent version when it performs worse than the last
- Its own SIP and media servers, with no outside telephony provider in the call path
Cons
- Overkill for a small prototype, because Bland is built for production calls at volume
PolyAI overview
PolyAI sells a managed voice and chat agent platform, and builds and runs an agent for a customer rather than handing over a toolkit. Its models are a mix: PolyAI's own Raven family, with GPT and Claude models also on its list. A call can use Raven or an outside language model, and PolyAI's voices come from its own or from providers such as ElevenLabs and Cartesia.
PolyAI lists a Model API at 2¢ per connected minute, and says ongoing use of its managed agent "is priced on a per-minute basis" with no public rate.
Pros
- PolyAI builds and runs the agent for a customer
- SOC 2 Type II and ISO 27001 both published
Cons
- Managed agent pricing is quoted per minute, with no public rate
- Models from other AI companies sit on its list next to its own
- No iMessage agents
Cognigy overview
Cognigy sells a conversational AI platform that connects to the language model, speech, and transcription provider a customer chooses. It supports LLM integration with "OpenAI, Azure, Anthropic, Amazon Bedrock, Google, and Mistral AI", and a customer needs "all the necessary API credentials" for the one picked.
Its voice runs through Voice Gateway, which Cognigy says "can't be used independently" of the main product and needs a separate license. Every part of a call comes from a company the customer arranges separately.
Pros
- A customer can pick its own model and speech vendors
- SOC 2 Type II, ISO 27001, and GDPR all published
Cons
- Voice Gateway is a separate license that cannot run alone
- No iMessage agents
Kore.ai overview
Kore.ai sells an enterprise agent platform for service, work, and process automation across digital and voice channels. Kore.ai supports enterprise messaging, social, web, email, and SMS, with a native Voice Gateway and third-party voice through Twilio, Alexa, AudioCodes, and IVR.
Kore.ai says speech providers are set per language, among them Google, Microsoft Azure, AWS Polly, ElevenLabs, Deepgram, OpenAI, and PlayHT, and Kore.ai doesn't disclose whether the rest of a call's stack is in-house. Readers weighing another enterprise agent platform can read Bland's Sierra AI review.
Pros
- One platform for chat, messaging, and voice agents
- Speech providers chosen per language
Cons
- Billed per session rather than per minute
- No iMessage agents
PolyAI doesn't offer iMessage agents, Cognigy doesn't offer iMessage agents, and supports Apple Business Chat only as a RingCentral Engage setting, and Kore.ai doesn't offer iMessage agents, as of November 2026. Bland runs native iMessage agents on Enterprise that send and receive photos, videos, files, voice memos, and tapbacks on the same pathways as its voice agents.
Which sounds more human, Bland, PolyAI, or Cognigy?
Bland Speech v3 ranked 1st of 13 AI voices at 1365 on Design Arena's Audio Realism Bench of 4 August 2026, above every outside voice available on PolyAI and Cognigy. PolyAI's own voices weren't ranked on that board, and Cognigy outsources its voices.
- #1BlandBland Speech v31365
- 6thCartesia, on PolyAISonic 3.51096
- 12thElevenLabs, on CognigyEleven v3Near the bottom938
- Not rankedPolyAI's own voicesNot ranked
- Not rankedCognigy's own voicesNot ranked
Ranks are among 13 AI voices, and each rival shows the highest listed voice a customer can choose on it, named for the company that made it. Real human recordings scored 1500, at the right edge of this scale. Bars start at 600, not zero. Source: Design Arena's published results.
Design Arena's blind test has vetted native speakers hear two voices read one script and pick the more lifelike. The highest outside voice a PolyAI customer can choose, Cartesia's Sonic 3.5, ranked 6th at 1096. The one model Cognigy's vendor list names in the results, ElevenLabs' Eleven v3, ranked 12th at 938. Kore.ai was not on the board. Scores come from Design Arena's published results of 4 August 2026.
How much do they cost?
Bland's self-serve Start plan costs $0.14 per minute and self-serve Build costs $0.12 per minute with a $299 monthly platform fee, covering all of its AI, while PolyAI and Cognigy quote a price and Kore.ai publishes no per-minute rate, as of November 2026. Phone sits on top of every one of them. Enterprise pricing is custom, set with Bland's sales team.
Bland pricing
Bland publishes one number per plan, and it 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, a BAA, and dedicated GPUs run by Bland sit on Enterprise.
PolyAI pricing
PolyAI prices its managed agent per minute and publishes no rate. Its Model API lists at 2¢ per connected minute, and PolyAI says "Telephony and orchestration Not included". Its managed-service agreement says "the total handle time is rounded up to the next 30-second increment", while the Model API bills "connected time, with no minimums and no rounding up to the minute".
Cognigy pricing
Cognigy publishes no price, and a request for one lands on a form that says "Request a demo!". It bills per conversation of up to 50 user inputs in 24 hours, with Voice Gateway lines, Knowledge AI queries, and a PCI Vault each on separate charges that carry no published rate. Language model, speech, and transcription are then billed by the companies a customer connects.
Kore.ai pricing
Kore.ai's usage-plans documentation lists $0.20 per session on a usage-based rate, as of November 2026, and says its Enterprise plan "follows a Session-based billing model where a Session is the billing unit clocked for 15 minutes of interaction with the bot". A call that runs past 15 minutes therefore takes a second billing unit, and Kore.ai publishes no per-minute voice rate. New accounts get $500 in free credits.
A 40-minute call shows how far apart the two billing models sit: under that 15-minute rule it takes three Kore.ai billing units, while Bland bills the same call as 40 minutes at $0.14 on self-serve Start, with no rounding up to a session.
What does each Bland plan include?
Enterprise is the plan regulated teams buy. It adds native iMessage agents alongside SMS and web chat, warm transfers, guardrails, a BAA, SSO, data residency, dedicated orchestration with dedicated GPUs run by Bland, and forward-deployed engineers who work beside a customer's team, with concurrency contracted to its volume and custom pricing.
How do they handle security and uptime?
PolyAI and Cognigy publish security programs, and the vendors part ways on medical calls, deployment, and what a customer can read. For a builder-style comparison, see Bland vs Voiceflow.
PolyAI says it "has achieved SOC 2 Type II compliance" and "We are certified for ISO/IEC 27001",, and says its systems are "designed to meet" HIPAA.
Cognigy publishes SOC 2 Type II, ISO 27001, GDPR, "PCI DSS - SAQ D, Merchant", and a "HIPAA Type 2 Final Report 2026".
Bland includes a BAA on Enterprise. Its 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. Bland's pages on HIPAA compliant voice AI and PCI compliant voice AI go further.
Bland's guardrails run through the whole call, and on a violation an agent can end the call, transfer it, or take a custom action, with four TCPA guardrails built in for AI disclosure, recording disclosure, self-introduction, and opt-out. Bland also runs its own SIP signaling and media servers, so no third-party telephony provider sits in the call path.
Which should a team pick?
A contact center that wants one AI company on each call, dedicated orchestration with dedicated GPUs run by Bland, and the top-ranked voice on Design Arena's August 2026 chart should pick Bland, with more than 250 enterprise customers and over 1.3 billion calls handled. Bland's published rates cover all of its AI, and forward-deployed engineers work beside a customer's team on Enterprise.
PolyAI fits a large consumer-facing company that wants a managed agent and accepts a quoted price. Cognigy fits a team with a platform group that wants to pick each vendor and run the integration. Kore.ai fits an enterprise that wants one platform across chat, messaging, and voice. Teams that also look at developer-first voice platforms can read Bland's Vapi review.
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, PolyAI, Cognigy, and Kore.ai were compared on who builds the AI, how each prices a call, voice realism, channels, security, and deployment, using each company's own pricing, trust, terms, and documentation pages as of November 2026. Voice scores come from Design Arena's chart of 4 August 2026.
Related comparisons
- Bland against one rival: Bland vs PolyAI and Bland vs Cognigy
- Reviews and alternatives: PolyAI review, Cognigy review, Best PolyAI alternatives, and Best Cognigy alternatives
- All pages: Bland's comparison hub
Frequently asked questions
Which is best for a contact center, Bland, PolyAI, Cognigy, or Kore.ai?
Bland is the better choice for a contact center running regulated calls at volume, because it is full stack and builds its own language, speech, and transcription models. PolyAI suits a managed agent, Cognigy a team wiring its own vendors, and Kore.ai a multichannel platform.
Is Cognigy or Kore.ai cheaper than Bland per minute?
Neither publishes a per-minute voice rate that can be compared, so no ranking holds. Bland's $0.14 on self-serve Start or $0.12 on self-serve Build covers all of its AI, Cognigy quotes a price, and Kore.ai's usage-plans documentation lists $0.20 per session, not per minute. Phone is billed on top of every one.
Does Bland's rate include phone?
No, Bland's rate covers its language model, transcription, and speech, and phone is billed separately, on a customer's own carrier or on Bland's at pass-through cost.
Does PolyAI, Cognigy, or Kore.ai support iMessage?
PolyAI doesn't offer iMessage agents, Cognigy doesn't offer iMessage agents, and supports Apple Business Chat only as a RingCentral Engage setting, and Kore.ai doesn't offer iMessage agents, as of November 2026. Bland runs branded iMessage agents natively on Enterprise, which send and receive photos, videos, files, voice memos, and tapbacks, and share the same pathways as its voice agents.
Which of the four sounds most human?
Bland Speech v3 ranked first among 13 AI voices on Design Arena's Audio Realism Bench of 4 August 2026 at 1365. The highest outside voice a PolyAI customer can choose scored 1096, and the one model Cognigy's vendor list names scored 938.
Does Bland use an open-source model?
No, Bland operates a closed-source model that it developed itself, so its language model isn't an open-source model and no outside AI lab sits behind it.
Is Bland only for outbound calls?
No, Bland runs inbound and outbound calls, including AI receptionist and contact center work, and it also runs SMS and web chat.
Is Bland only for developers?
No, Bland isn't only for developers. Pathways gives teams a visual builder, Norm helps build agents, and on Enterprise forward-deployed engineers build alongside a customer's team.
