Callbox

How a Singapore NLP Vendor Won Enterprise Meetings with Callbox

54
SQLs
103
MQLs
532
LinkedIn Connections
Successfully executed a 6-month, two-pillar NLP lead generation and appointment setting program for a Singapore-based AI machine learning vendor competing against global hyperscalers across five priority verticals.
Enabled the client to cut through hyperscaler brand dominance in Singapore's enterprise market through compliance-aware, diagnostic-first multi-channel outreach.

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Complete Results

SQLs
54
MQLs
103
LinkedIn Connections
532

Key Highlights

  • Successfully executed a 6-month, two-pillar NLP lead generation and appointment setting program for a Singapore-based AI machine learning vendor competing against global hyperscalers across five priority verticals.
  • Enabled the client to cut through hyperscaler brand dominance in Singapore's enterprise market through compliance-aware, diagnostic-first multi-channel outreach.
  • Helped the client move beyond a conference-dependent inbound pipeline and win qualified enterprise meetings against better-resourced global competitors

About the Client

Headquarters

Singapore

Industry

AI Technology

Location

Singapore

Target Audience

Decision Makers

CTOs, CIOs, Chief Data Officers, Heads of Product, VP Engineering, Operations Directors, Customer Experience Leaders, CEOs and Founders at scale-ups

Industries

Financial Services and Fintech, Healthcare and Life Sciences, Retail and E-Commerce, Government and Public Sector, Telecommunications and Media

Locations

APAC-wide

The Client

The client is a Singapore-headquartered NLP machine learning vendor at the growth stage — post-seed or Series A — offering an NLP platform and APIs, conversational AI, sentiment analysis and Voice of Customer analytics, document intelligence, and multilingual NLP purpose-built for Southeast Asian language complexity, including Singlish, Bahasa, Mandarin, and Tamil. Their platform is designed for enterprise-grade compliance requirements, including Singapore data residency, MAS FEAT alignment, and PDPA compliance.

The Challenge

A Singapore-based NLP machine learning vendor had built a genuinely differentiated platform — purpose-built for Southeast Asian language complexity, Singapore data residency requirements, and enterprise-grade compliance — but their go-to-market function lagged far behind their technical capability. The founding team of ML researchers and engineers had productised their NLP research into a strong commercial offering, but had limited experience running structured B2B outreach in Singapore’s enterprise market.

Singapore NLP Firm Wins Enterprise Meetings with Callbox