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Bland Company Profile

The enterprise platform for AI phone calls. Founded in 2023 by Isaiah Granet and Sobhan Nejad, Bland AI has 65 employees based in San Francisco, CA, USA.

Industry: DataAI

Segment: AI/ML Platform

Team size: 51-200

Location: San Francisco, CA

Funding: Series B

Competitors: Sierra AI, Vapi

Generated by Kustiq, an AI company intelligence platform for B2B teams. Multi-stage pipeline: AI classification + live web scraping + SMTP-verified contacts + 12-factor rule-based churn engine.

Company profile

Bland

The enterprise platform for AI phone calls. Founded in 2023 by Isaiah Granet and Sobhan Nejad, Bland AI has 65 employees based in San Francisco, CA, USA.
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The enterprise platform for AI phone calls. Founded in 2023 by Isaiah Granet and Sobhan Nejad, Bland AI has 65 employees based in San Francisco, CA, USA.

Founded

2023

Employees

51-200

Location

San Francisco, CA

Funding

Series B ($40M)

AI Classification

DataAIAI/ML Platform

Bland AI is an enterprise conversational voice AI platform that enables businesses to build, deploy, and monitor AI phone agents for use cases including customer support, lead qualification, appointment scheduling, and outbound sales. It serves enterprise clients across Financial Services, Insurance, and Healthcare with self-hosted, proprietary infrastructure and a PLG-to-enterprise sales motion.

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Social Links

Linkedin

Competitors

Sierra AIVapi

Bland is profiled by Kustiq, an AI company intelligence platform for B2B teams. Bland is one of 107 ai / ml platform companies in our Data & AI directory. Similar profiles include Appcues, Freshpaint, Attio, and Comet.

How Kustiq built this profile

Hybrid pipeline: deterministic verification + Claude reasoning

  • Live web rendering via Browserless headless Chrome, not a stale cached scrape.
  • Search intelligence via Serper API across {company site, LinkedIn, press, GitHub}.
  • Claude Sonnet 4.6 classifies vertical, segment, and growth signals; never used for facts.
  • 12-factor churn engine produces a deterministic risk score with zero LLM calls at scoring time.
  • SMTP RCPT TO handshake verifies every contact at delivery time on full profiles (paid plan).

Read the full methodology in our LLM-readable reference or compare against the deterministic-vs-AI framework.

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