Comparing Bland AI and Sierra AI? Both are AI Agents & Chatbots and Voice & Phone AI tools in the directory, which is why buyers put them on the same shortlist. Below is a side-by-side look at pricing and an estimated monthly bill, channels, compliance claims, and integrations, plus when each is the better fit, so you can pick on the facts rather than either vendor's own sales page.
| Attribute |
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|---|---|---|
| What it is | Voice AI platform for phone agents that runs its own speech-to-text, LLM and text-to-speech models, aimed at regulated, high-stakes customer calls. | AI agent mirrors the nuances of human communication, ensuring seamless and organic customer service interactions while improving customer satisfaction. |
| Pricing | Paid · $0.14/min | Per resolution · Custom |
| Est. monthly cost | No published price to estimate | No published price to estimate |
| Founded | 2023 | 2023 |
| Categories | AI Agents & Chatbots Contact Center & CCaaS Voice & Phone AI | AI Agents & Chatbots Enterprise Voice & Phone AI |
| Channels | ||
| Chat | ✓ | ✓ |
| — | ✓ | |
| Voice | ✓ | ✓ |
| SMS | ✓ | ✓ |
| ✓ | ✓ | |
| Compliance (vendor-claimed) | ||
| SOC 2 | ✓ | ✓ |
| HIPAA | ✓ | ✓ |
| GDPR | ✓ | ✓ |
| ISO 27001 | — | ✓ |
| PCI DSS | ✓ | ✓ |
| FedRAMP | — | ✓ |
| ISO 42001 | — | ✓ |
| EU AI Act | — | ✓ |
| Data residency | Multi-region cloud with per-call regional pinning; EU data residency available; customer VPC (AWS, GCP, Azure), on-premise and air-gapped deployments | Not verified |
| Languages | 40+ languages | 59 languages |
| What the AI can do | ||
| Takes actions | ✓ | ✓ |
| Hands off to a human | ✓ | ✓ |
| Choice of LLM | — | — |
| Buying | ||
| Free trial | Start plan with 2 free credits, no card required | Not verified |
| How you buy | Self-serve signup | Not verified |
| Minimum commitment | — | — |
| Company | Independent, venture-backed | Independent, venture-backed |
| Works with | Twilio Genesys Five9 NICE CXone Amazon Connect Talkdesk RingCentral Vonage Microsoft Teams Salesforce HubSpot Cal.com Calendly Slack Zapier Make WhatsApp iMessage | Salesforce Zendesk Shopify Twilio Stripe Snowflake |
| Key features |
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| Next step |
Full listing Visit site → |
Full listing Visit site → |
Estimates assume 5,000 conversations a month, 60% handled by AI and 10 agent seats, at each vendor's published list price (the cost calculator's model); treat them as a floor, not a quote. Compliance rows are what vendors publicly claim, and “Not verified” means we have not confirmed that fact yet, not that the tool lacks it.
Best for: Regulated phone operations in healthcare, insurance and financial services that want one vendor running the whole voice stack, with VPC or on-prem deployment and SOC 2, HIPAA and PCI DSS coverage.
Look elsewhere if you want to choose your own LLM and voice providers, or your support volume is mostly email and chat rather than phone calls.
Best for: Large brands that want one branded agent deployed across chat, voice, email, SMS and WhatsApp, with voice agents that can take a payment mid-call, outcome-based pricing, 59 languages and the broadest compliance list in the directory including FedRAMP, ISO 42001 and the EU AI Act.
Look elsewhere if you are not an enterprise: Sierra sells multi-year contracts by quote with no trial or self-serve start, and its verified facts do not include a stated data residency.
Bland (the site brands it simply as Bland) is a platform for building AI phone agents that answer and place calls, and continue the conversation over SMS and web chat. Agents are designed as Conversational Pathways, call tools against your systems mid-conversation (looking up an account, verifying identity, updating a payment date), and warm-transfer to a human with context when they should. The use cases on its site are the unglamorous high-volume ones: IVR replacement, appointment scheduling, after-hours and overflow coverage, identity verification, payments and collections, and patient care coordination. Bland says agents answer in about 200 milliseconds and work in more than 40 languages.
What sets Bland apart is that it owns the whole voice stack. Where most voice-agent platforms stitch together a third-party transcription engine, a frontier LLM and a separate voice provider, Bland runs its own speech-to-text, language model and text-to-speech on its own GPUs. It turns that into a security argument: no third-party AI sub-processor touches the call, guardrails are fine-tuned into model weights rather than prompts, calls can be pinned to a region with EU data on EU GPUs, and deployment options run from Bland's cloud to your own VPC, on-premise hardware or a fully air-gapped install. It claims SOC 2 Type I and II, HIPAA with a BAA, GDPR and PCI DSS. The tradeoff is that you are betting on Bland's models instead of choosing your own.
Isaiah Granet (CEO) and Sobhan Nejad co-founded Bland in San Francisco in 2023, pivoting into voice midway through Y Combinator. It raised a $16 million Series A led by Scale Venture Partners in August 2024 and a $40 million Series B led by Emergence Capital in February 2025, and Fortune reported a $50 million Series C led by Dell Technologies Capital in June 2026. Bland says more than 250 enterprises use it. Published results include Idaho Housing and Finance Association saving $750,000 a year by retiring its IVR, Slash gaining 13 points of CSAT, and Needle resolving 81 percent of pharmacy inventory calls with no human involved.
Pricing is per minute and covers the LLM, transcription and voice in one rate, with telephony billed separately. The Start plan is $0.14/min with no platform fee and no card required; Build is $0.12/min plus a $299/month platform fee with higher limits; Enterprise is contracted to volume and adds VPC or on-prem deployment, SSO, BAAs and forward-deployed engineers. Choose Bland if you run regulated phone operations in healthcare, insurance or financial services and want a single vendor accountable for the whole call. Skip it if you want to pick your own LLM and voice vendors, or if your support is mostly email and chat.
Read the full Bland AI listing → · See Bland AI alternatives →
Sierra builds conversational AI agents for the enterprise, and it arrived with about as much star power as a startup can carry. It was founded in 2023 by Bret Taylor and Clay Bavor, and if those names ring a bell it is because Taylor co-created Google Maps, served as CTO of Facebook and co-CEO of Salesforce, and currently chairs the board of OpenAI, while Bavor spent eighteen years at Google leading its virtual and augmented reality work. Company lore says the whole thing was hatched over a grilled branzino lunch in Palo Alto.
The product lives up to the pedigree. From a single build, Sierra deploys a branded agent across chat, voice, email, SMS, and even ChatGPT, following your policies, adopting your brand's voice, and escalating gracefully when a conversation gets thorny. Its voice agents are a standout: they hold natural, low-latency conversations, read sentiment, and can even take a credit card or ACH payment over the phone in one uninterrupted call, with no clumsy handoff to a separate system.
Under the hood sits Agent OS, a platform for building, testing, and supervising agents, with tooling to run voice simulations and rehearse behavior before anything reaches a real customer. Pricing is outcome-based, tied to conversations or successful resolutions and wrapped in multi-year enterprise contracts, so Sierra is aimed at large brands rather than weekend experimenters. Reported customers include SoFi, Ramp, and Brex, and the company says its agents already serve a meaningful slice of the Fortune 50.
Sierra's fundraising has kept pace with its towering ambition, vaulting the company into the rarefied tier of the most valuable AI startups in barely two years. For enterprises that want polished, on-brand agents across every channel and are willing to invest the time and budget to do it properly, Sierra is a genuine marquee choice.
Read the full Sierra AI listing → · See Sierra AI alternatives →
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