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smallest.ai Tech Stack

Small language models for voice and multimodal AI at enterprise scale

Technology, Information and Internet San Francisco, California 51–200 employees Founded 2023 Privately Held
smallest.ai LinkedIn

Smallest.ai builds compact language models optimized for low-latency voice, text-to-speech, and speech-to-text workloads in regulated environments. The stack—Python, Kafka, WebRTC, Twilio, Kubernetes, and Terraform—reflects a production-heavy, infrastructure-first engineering org. Active projects span training data engines, voice agent development, and telephony integrations, while pain points cluster around data quality, multilingual handling, and reducing iteration cycles—all critical for shipping production speech models at scale.

Tech Stack 36 technologies

Core StackPython Kafka Postman RAG Twilio HubSpot Salesforce n8n AWS Terraform Kubernetes Helm Docker New Relic CloudWatch webhooks WebSockets WebRTC Ahrefs Semrush Google Search Console Screaming Frog Google Analytics 4 LinkedIn Sales Navigator QuickBooks Online AWS EKS Argo CD VPC AWS Application Load Balancer AWS Network Load Balancer+6 more

What smallest.ai Is Building

◆Challenges

  • Data quality and curation
  • Handling multilingual data
  • Reducing iteration time
  • Low latency
  • Multilingual intelligence
  • Complex enterprise workflow integration
  • Establishing seo presence
  • Ranking for ai-generated answers
  • Building gtm stack from scratch
  • Scaling outbound pipeline

▲Active Projects

  • Real-time and batch data pipelines
  • Data quality and curation
  • Training data engine
  • Customer deployments
  • Voice agent development
  • Integration with telephony providers
  • Technical seo & content strategy
  • Generative engine optimization (geo)
  • Dashboard development tying seo/geo to pipeline
  • Build gtm stack from scratch

Hiring Activity

Accelerating6 roles · 6 in 30d

Department

Engineering
2
Data
1
Finance
1
Marketing
1
Sales
1

Seniority

Mid
3
Senior
2
Manager
1
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About smallest.ai

Smallest.ai is an AI research lab focused on compact, high-accuracy models for voice and multimodal applications across enterprise sectors. The platform operates with on-premises and private-cloud deployment options, meeting SOC2, GDPR, HIPAA, and PCI compliance standards for regulated industries. The company is headquartered in San Francisco with 51–200 employees and was founded in 2023. Revenue generation and GTM infrastructure remain early-stage priorities, reflected in concurrent hiring across engineering, data, sales, and marketing.

HeadquartersSan Francisco, California
Company Size51–200 employees
Founded2023
Hiring MarketsIndia, United States

Frequently Asked Questions

What tech stack does smallest.ai use?

Python, Kafka, Kubernetes, AWS (EKS, ALB, NLB, VPC), Docker, Terraform, Helm, Argo CD, and WebRTC. For voice: Twilio and WebSockets. Observability via New Relic and CloudWatch.

What is smallest.ai building?

Real-time data pipelines, training data engines, voice agent systems, telephony provider integrations, and GTM infrastructure. Focus areas include data quality, multilingual model support, and low-latency inference.

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How this profile is built

smallest.ai'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.