Coactive AI Tech Stack

Multimodal AI platform for video and image analysis and discovery

Software Development San Jose, CA 11–50 employees Privately Held

Coactive AI builds a multimodal platform for analyzing and discovering value in video and image content. The tech stack—React, Python, FastAPI, PostgreSQL with pgvector, Kafka, Spark, and Databricks—reflects a team optimized for real-time search and indexing over unstructured media. Hiring is concentrated in senior engineering roles across a small footprint, with stated pain points around time-to-value and scaling experiments to production, suggesting the company is navigating the typical early-stage tension between rapid prototyping and building durable infrastructure.

Tech Stack 24 technologies

Core StackVite React TypeScript Python FastAPI PostgreSQL MongoDB AWS Docker Kubernetes MySQL Cassandra Kafka Apache Spark Databricks Datadog Terraform Redis pgvector OpenAPI GCP Azure Envoy KEDA

What Coactive AI Is Building

◆Challenges

Time to value
Rapid prototyping and shipping ga products
Scaling early stage experiments to production
Customer success

▲Active Projects

Full-stack application development
Vector database services
Openapi sdk development

Hiring Activity

Decelerating6 roles · 1 in 30d

Department

Engineering

Marketing

Product

Seniority

Senior

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About Coactive AI

Coactive AI operates a Multimodal Application Platform (MAP) designed to help organizations unlock value from their video and image libraries. The platform handles content discovery, asset identification, trend analysis, and feeds downstream AI workflows. The company is based in San Jose with a 11–50-person team and is actively hiring in the United States, Canada, and Colombia. Current focus areas include full-stack application development, vector database services, and OpenAPI SDK tooling—all signals of a platform scaling beyond MVP into integrated developer workflows.

HeadquartersSan Jose, CA

Company Size11–50 employees

Hiring MarketsCanada, United States, Colombia

Frequently Asked Questions

What tech stack does Coactive AI use?

Frontend: Vite, React, TypeScript. Backend: Python, FastAPI, PostgreSQL with pgvector, MongoDB, MySQL. Infrastructure: AWS, GCP, Azure, Docker, Kubernetes. Data pipeline: Kafka, Apache Spark, Databricks. Observability: Datadog.

What is Coactive AI working on?

Active projects include full-stack application development, vector database services for multimodal search, and OpenAPI SDK development to integrate the platform into customer workflows.