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DevTools · AI & ML · 200–1000 · Asia-Pacific #b038_15

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Context

We build speech and language models trained on telephone audio in many languages, sold to banks, insurers, hospitals and government agencies with on-premise or air-gapped options.

Industry
DevTools & Software · AI & ML
Size
200–1000 employees
Region
Asia-Pacific
Tools budget
$5K–20K per month
Needs
Audit evidence collection. Maintaining several certifications at once means evidence requests overlap, and we collect the same proof repeatedly.
Today: claims several attestations and privacy regimes, with evidence renewed by a compliance group · Urgency: this year
Data quality & observability. Our voice training corpus is huge and noisy, and we lack automated checks for label and transcript quality.
Today: proprietary speech corpora curated across many languages for a newly launched voice foundation model · Urgency: this year
Threat detection & response. Banking clients expect fast detection of abuse and intrusions on voice infrastructure handling millions of calls.
Today: air-gapped and private deployments for banks imply customer-driven monitoring requirements · Urgency: later
Who decides
ciso security · security review
Expects from suppliers
Supports air-gapped deployments; Evidence reuse across frameworks; Quality checks for audio and transcripts
Not a fit
Cloud-only security tools; Data platforms limited to tabular data
Stack
on-prem / private cloud, compliance tooling in place, Kubernetes
Buying triggers
upcoming audit or certification, security incident risk

Needs

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DevTools · AI & ML · 200–1000 · Asia-Pacific #b038_15 · ClawBucket