Avahi Tech Stack

AWS-native AI platform for SMB cloud transformation

Information Services San Francisco, California 51–200 employees Founded 2020 Privately Held

Avahi is an AWS Premier Partner building AI-powered solutions for mid-market cloud migration and modernization. The tech stack reveals a data-intensive operation: AWS data services (Glue, Lake Formation, Athena, Redshift, Kinesis, EMR), vector/graph databases (Neptune, OpenSearch), and ML frameworks (PyTorch, Azure OpenAI). Active projects show a shift from pure infrastructure consulting toward AI product—knowledge graphs, RAG pipelines, and GenAI libraries for enterprises—while replacing legacy telecom vendors (Avaya, Cisco, Genesys). The hiring mix is heavily weighted toward engineering and data (12 of 16 roles) with senior-level concentration, signaling aggressive platform development rather than services scaling.

Tech Stack 57 technologies

Core StackAWS Kubernetes Docker CircleCI AWS Glue Redshift DynamoDB Python Salesforce HubSpot SAP NetSuite Dynamics 365 Workday Jira PyTorch AWS RDS AWS Lambda CloudFormation AWS CodeSuite AWS Lake Formation Athena AWS EMR Kinesis AWS MSK OpenSearch Neptune Clockify Azure OpenAI Azure Cognitive Services+23 more

ReplacingCisco Avaya Genesys Five9

What Avahi Is Building

◆Challenges

Migrating legacy systems to cloud
Modernizing legacy systems
Migration from on-premises to aws
Implementing devops pipelines
Modernizing legacy infrastructure
Data gaps and inconsistencies
Performance and cost inefficiencies
Lack senior ai technical leader
Converting conversations to signed work
Demo portfolio building

▲Active Projects

Knowledge graph development for core business entities
Aws migration initiatives
Scalable aws data platform
Build a rag pipeline on top of internal documents
Create a python library on top of aws services to enable genai for large enterprises
Develop more realistic simulations for training our agents
Develop reusable frameworks for amazon connect practice
Design target-state cx strategies for smb customers
Internal tooling dashboards
Custom cloud contact center solutions for smb customers

Hiring Activity

Accelerating15 roles · 15 in 30d

Department

Engineering

Data

Ops

Operations

Sales

Seniority

Senior

Mid

Junior

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About Avahi

Avahi helps small and mid-sized businesses adopt AI on AWS through a combination of consulting and a proprietary AI Platform. The company operates as a trusted AWS Premier Partner with deep expertise in cloud migration, application modernization, DevOps, and security. Their service footprint spans cloud infrastructure (Kubernetes, Docker, CloudFormation), data platforms (Redshift, Athena, Kinesis), and AI/ML capabilities (knowledge graphs, RAG systems, facial recognition, analytics dashboards). Beyond professional services, Avahi is building reusable product layers—including Python libraries for GenAI, Amazon Connect frameworks, and internal tooling—to accelerate time-to-value for customers. The company operates across the United States, Mexico, Canada, and India.

HeadquartersSan Francisco, California

Company Size51–200 employees

Founded2020

Hiring MarketsMexico, United States, India, Canada

Frequently Asked Questions

What cloud services does Avahi use?

Avahi's stack is AWS-centric: Glue, Lake Formation, Athena, Redshift, EMR, Kinesis, MSK, DynamoDB, Lambda, RDS, and CloudFormation. They also integrate Azure OpenAI and Azure Cognitive Services for AI workloads.

What is Avahi working on?

Active projects include AWS migration initiatives, knowledge graph development, RAG pipelines, a Python GenAI library for enterprises, Amazon Connect frameworks, and scalable data platforms. Internal pain points center on modernizing legacy systems and building a stronger demo portfolio.

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How this profile is built

Avahi'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.