AI solutions and AI SaaS spanning NLP, speech, vision and prediction
PKSHA Technology builds AI solutions and AI SaaS products, with projects ranging from AI-powered workers to speech recognition and card-fraud detection. Hiring is accelerating and split almost evenly between engineering and sales, which points to commercial scale-up alongside product builds. The stack shows heavy adoption of AI coding agents (Cursor, Devin, Codex) on a TypeScript/Python, multi-cloud base, alongside a new HubSpot and ClickUp rollout.
Notable leadership hires: Tech Lead, AI Development Lead, Project Lead Engineer, Chief Technology Officer
PKSHA Technology is a public company headquartered in Bunkyo, Tokyo, with 501–1,000 employees. It develops and delivers AI solutions and AI SaaS built on machine learning, deep learning, natural language processing, image recognition, speech recognition and predictive modules. Product work includes speech analytics, a voice recognition engine, workplace communication tools and fraud detection for domestic credit card payments. Engineering runs on TypeScript, React, Next.js, Nest.js and Python across AWS, Azure and GCP, with Salesforce and HubSpot supporting sales.
PKSHA uses TypeScript, React, Next.js, Nest.js and Python on AWS, Azure and GCP, with Terraform, AWS CDK, PostgreSQL and Supabase, plus OpenAI, Gemini, Cursor, Devin and Codex for AI work.
Active projects include AI-powered workers, 0→1 AI product development, SaaS customization implementations, the Olaris voice recognition engine, PKSHA Speech Insight and credit card fraud detection.
Yes. Hiring is accelerating, led by engineering and sales, with leadership openings including Chief Technology Officer, AI Development Lead, Tech Lead and Project Lead Engineer.
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PKSHA Technology's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.