Company profile
Bland
Enterprise Voice AI platform for high-stakes phone agents.
- Category
- Conversational AI
- Headquarters
- San Francisco
- Sells to
- Enterprise
- Business model
- Usage-based API, SaaS subscription
- Deployment
- Cloud / SaaS, On-premise, Self-hosted
- Pricing
- Freemium · from $299/mo · free tier
- Builds own models
- Yes
- Modalities
- speech, Audio, Text
What Bland does
Bland provides an Enterprise Voice AI Platform for phone agents, designed for regulated industries such as healthcare, insurance, financial services, and logistics. It automates high-stakes phone calls, running entirely on the customer's infrastructure for maximum security. Bland builds its own voice, LLM, text-to-speech, and speech-to-text models in-house, ensuring low latency and full accountability. The platform allows users to build production-ready agents without prior voice AI experience, test every scenario before going live, and deploy agents across multiple channels including Voice, SMS, iMessage, and Web Chat with unified memory. It offers real-time observability for QA and integrates with existing telephony, CRM, and scheduling stacks. Bland's solutions include replacing IVRs, running AI call and contact centers, and automating inbound and outbound calls, all while adhering to strict security and compliance standards like AES-256 encryption, TLS 1.3, HSM-backed keys, data residency options, and role-based access controls.
Key capabilities
- Custom-made models for phone calls
- No third-party data processing
- No voice AI experience needed to build agents
- Scenario testing for edge cases
- Omnichannel deployment (Voice, SMS, iMessage, Web Chat)
- Unified memory across channels
- Real-time call observability
- Integration with existing telephony, CRM, scheduling
- Low latency (sub-200ms response)
- AES-256 encryption at rest
- TLS 1.3 in transit
- HSM-backed keys
- Data residency options (US, EU, APAC)
- Role-based access controls (RBAC)
- MFA on production systems
- 24/7 on-call engineering for incident response
- Conversational voice AI with built-in call intelligence
- No token charges
- No model-provider pass-throughs
- Version Lock
- 99.9% Uptime SLA
- Dedicated Orchestration Server
- Priority Call Queue
- On-Prem/VPC Deployment
- Custom Voice Actor
- Conversational Pathways
- Automations
- Appointment Scheduling Node
- SMS Node (in-call texts)
- Warm Transfers
- Live Transfers
- Guardrails (Protected Calls)
- Alarm & Monitoring
- Knowledge Base Gaps
- Citations
- Outcomes
- Custom Dialing
- Custom Code Extraction
- BAA
- SSO
- JWT Signatures
- Real-time transcription (STT)
- Premium voices + clones (TTS)
- Norm builder for agent creation
- REST API access
- CLI access
- MCP server for AI editors (Claude Code, Cursor)
- Dedicated infrastructure (Bland Cloud, VPC, On-premise)
- Canary new versions against real calls
- Zero-downtime deploys
- Scenario suites with assertions
- Back-testing against historical calls
- TCPA rails
- Continuous rails
- PII redaction in transcript
- Configurable retention for PII
- Tamper-resistant call logs
- Every disclosure recorded
- Every rail logged
- Native connectors for CRMs, schedulers, telephony, ticketing
- Webhooks for custom integrations
- Voice cloning
- Telephony portability (BYON, BYOC, SIP)
- HIPAA + SOC 2 compliance
- Telephony compliance (TCPA, CPNI, do-not-call)
- Unlimited concurrent calls on enterprise plans
- Pacing controls
- Call disposition tracking
- Integration with dialers
- Multi-language support (40+ languages)
Use cases
- Replace IVRs
- Run AI call and contact centers
- Automate inbound calls
- Automate outbound calls
- Route callers in plain language
- Answer every inbound call (greet, verify identity, answer questions, hand off complex cases)
- Qualify leads at scale
- Confirm appointments at scale
- Follow up on accounts at scale
- AI receptionist for nights, weekends, volume spikes
- Inbound support (authenticate, resolve routine requests, route)
- Inbound qualification (qualify/disqualify callers)
- Lead qualification (dial new leads, qualify, warm-transfer)
- Compliance disclosures (read mandatory disclosures)
- 24/7 carrier intake
- Dispatch coordination
- Live status updates
- Outbound confirmations
- Tour scheduling
- Guest follow-ups
- Tier-1 support
- Billing and plan changes
- Number porting
- Outage updates
- Mortgage refinance inquiries
- Auto claim intake
- Customer service
- Appointment scheduling
- Send calls to customers, leads, streamline operations
- Set up inbound phone numbers for customer support
- Live API calls during calls
- Develop AI Agent personas
- Send off batches of calls
- Embed agents into websites
AI approach
Bland.ai builds its own full stack for voice AI, including voice, LLM, text-to-speech, and speech-to-text models. They emphasize that they do not wrap other companies' models to ensure low latency, enterprise-grade performance, and full control over the stack for accountability and compliance. They fine-tune guardrails into model weights rather than relying on prompt instructions.
Tech named: LLM, text-to-speech, speech-to-text, GPUs, conversational voice AI, voice cloning, conversational pathways, guardrails
Industries served
- Healthcare
- Insurance
- Financial services
- Logistics
- Hospitality
- Telecommunications
- Mortgage finance
What it says sets it apart
- Proprietary models (Voice, LLM, TTS, STT) built in-house, not wrappers
- Runs on customer's infrastructure (Bland Cloud, VPC, On-premise, Air-gapped)
- Low latency (sub-200ms) optimized for telephony cadence
- Designed for high-stakes, regulated industries
- One DPA for compliance, no multiple third-party AI sub-processors
- Weight-level guardrails (policy in weights, not prompts) for compliance and robustness
- Direct incident response with root access to every layer
- Rapid deployment (30 days for enterprise, single day for simpler workflows)
- Unified memory across omnichannel interactions
- Comprehensive security and compliance certifications (SOC 2 Type I/II, HIPAA-eligible, GDPR, PCI DSS)
- Focus on accountability for the entire stack
- Ability to canary new versions and roll back instantly
- Extensive testing capabilities including back-testing and parallel runs
- Real-time observability and audit trails
- Flexible integration options (native, API, webhooks)
- Cost-effective compared to human agents and other AI solutions (no token charges, all-inclusive per-minute rate)
Funding rounds we track
Dell Technologies Capital, HubSpot Ventures, Archerman Capital, Tribeca Venture Partners, Emergence Capital, Upfront Ventures, Scale Venture Partners, Y Combinator
From the AI funding tracker — rounds as reported by the linked publications.
This profile was compiled from Bland's own public pages in July 2026 and reflects what the company states about itself — not an endorsement or an independent audit of those claims. Facts are extracted with AI and filtered by an automated check that drops any named product, customer or certification missing from the source pages. Full method. Something out of date? Tell us.