echoloc

ASAPP Tech Stack

Generative AI platform for contact center automation and agent augmentation

Technology, Information and Internet New York, NY 201–500 employees Founded 2014 Privately Held

ASAPP operates a generative AI platform for contact centers, built on PyTorch and TensorFlow with integrations into Salesforce, ServiceNow, and major contact center vendors (Genesys, Amazon Connect, Avaya, LivePerson). The company is actively adopting OpenAI, AWS Bedrock, and Anthropic APIs while scaling real-time inference workflows—a technical posture aligned with their core product (generative agent automation). Hiring velocity is accelerating with an engineering-heavy mix (7 engineers, 3 sales, 1 research), and their active project list (proof-of-concept integrations, beta testing, partner onboarding) signals a push from product development into channel sales and customer deployment.

Tech Stack 39 technologies

Core StackJavaScript PyTorch TensorFlow Python AWS GraphQL Salesforce HubSpot Kubernetes Terraform Go React Node.js ServiceNow Twilio Docker C++ Java Kotlin Ruby Genesys Amazon Connect Twilio Flex Avaya LivePerson Azure GCP Anthropic API MCP macOS+6 more
AdoptingOpenAI Anthropic AWS Bedrock

What ASAPP Is Building

Challenges

  • Building channel partnership pipeline
  • Market gaps
  • Reducing mttr
  • Automation of infrastructure
  • Scaling pre-sales function
  • De-risking handoff
  • Integrating ai into contact center platforms
  • Scaling ai for high-volume interactions
  • Rapidly prototype demos
  • Customizable demo environments

Active Projects

  • Proof-of-concept integration building
  • Generativeagent implementations
  • Beta testing new ai capabilities
  • Channel partnership motion
  • Partner onboarding and enablement
  • Real-time conversational ai systems
  • Low-latency inference workflows
  • Infrastructure for ai model deployment
  • Domain-specific conversational ai solutions
  • Ai feature deployment into real-world applications

Hiring Activity

Accelerating10 roles · 8 in 30d

Department

Engineering
7
Sales
3
Research
1

Seniority

Senior
3
Lead
2
Mid
2
Staff
2
Director
1
Principal
1
Company intelligence

Find more companies like ASAPP by tech stack, pain points and active projects

Get started free

About ASAPP

ASAPP builds an AI-native customer experience platform for contact centers, focusing on generative and agentic automation. The product integrates with existing contact center infrastructure (Genesys, Amazon Connect, Avaya, LivePerson) and customer systems (Salesforce, ServiceNow, HubSpot) to automate high-volume customer interactions. Founded in 2014 and headquartered in New York, the company serves enterprises deploying generative AI into customer-facing workflows. Current operational challenges center on de-risking partner handoffs, scaling pre-sales infrastructure, and accelerating proof-of-concept cycle times.

HeadquartersNew York, NY
Company Size201–500 employees
Founded2014
Hiring MarketsIndia

Frequently Asked Questions

What AI models does ASAPP use?

ASAPP builds on PyTorch and TensorFlow for model training, and is actively integrating OpenAI, AWS Bedrock, and Anthropic APIs into its platform. The company also develops proprietary GenerativeAgent technology for contact center workflows.

What contact center platforms does ASAPP integrate with?

ASAPP integrates with Genesys, Amazon Connect, Avaya, LivePerson, and Twilio Flex. It also connects to enterprise systems including Salesforce, ServiceNow, and HubSpot for customer data and workflow context.

Similar Companies in Technology, Information and Internet

Other companies in the same industry, closest in size

How this profile is built

ASAPP'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.