Akaike Technologies Tech Stack

Multi-modal AI services for enterprise data and decision-making

Software Development Bengaluru, Karnataka 51–200 employees Privately Held

Akaike builds AI services around vision, generative, and conversational models for enterprises. The tech stack (Databricks, PySpark, TensorFlow, PyTorch, LangGraph, CrewAI, Pinecone) reflects a data-first engineering approach, with heavy emphasis on ML pipeline deployment and LLM-ready infrastructure. Hiring velocity is accelerating—9 of 14 open roles are data-focused—while pain points cluster around scaling ML solutions and customer adoption, suggesting the company is transitioning from custom services into productized AI offerings.

Tech Stack 36 technologies

Core StackHubSpot Databricks PySpark Azure Data Factory Delta Lake Python NumPy Pandas AWS Docker AWS Lambda scikit-learn TensorFlow PyTorch Pinecone Weaviate Notion LinkedIn Google Spark SQL Azure Data Lake Storage Azure SQL SQL Azure Dask AWS ECR AWS Step Functions LangGraph CrewAI Milvus+6 more

What Akaike Technologies Is Building

◆Challenges

Scaling marketing from zero-to-one
Building demand generation pipeline
Scaling ai/ml solutions
Pre-sales client activation
Business impact calculation
Real-time deployment of ml pipelines
Customer churn risk
Low adoption of ai solutions
Low-latency decision-making
Scaling data pipelines

▲Active Projects

Llm-ready data management layers
Custom machine learning solutions
Real-time ml/dl pipeline deployment
Llm agents
Content machine
Community-driven events
Scalable ml/dl pipelines
Custom ml solutions for marketing scenarios
Genai systems
Intelligent agents

Hiring Activity

Accelerating15 roles · 10 in 30d

Department

Data

Engineering

Marketing

Product

Support

Seniority

Senior

Mid

Lead

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About Akaike Technologies

Akaike specializes in delivering AI services to enterprises: vision systems, generative AI, conversational interfaces, and NLP. The company operates from Bengaluru and serves clients primarily through custom AI engagements and their flagship product, Build Your Own Brain, an AI-driven decision-making platform. The technical foundation spans data orchestration (Databricks, Azure Data Factory, Delta Lake), ML frameworks (TensorFlow, PyTorch, scikit-learn), and agentic AI systems (LangGraph, CrewAI). Current project focus centers on real-time ML pipeline deployment, LLM agents, and scalable data infrastructure.

HeadquartersBengaluru, Karnataka

Company Size51–200 employees

Hiring MarketsIndia

Frequently Asked Questions

What tech stack does Akaike use?

Akaike's core stack includes Databricks, PySpark, Azure (Data Factory, Data Lake, SQL), TensorFlow, PyTorch, LangGraph, CrewAI, and vector databases (Pinecone, Milvus, Weaviate). AWS services (Lambda, Step Functions, ECR) handle deployment and orchestration.

What is Akaike working on?

Active projects include LLM-ready data layers, real-time ML/DL pipeline deployment, LLM agents, custom ML solutions for marketing, and scalable data pipelines. The company is also building community-driven events and generative AI systems.