Maisa Tech Stack

Agentic process automation for hallucination-resistant enterprise workflows

Software Development San Francisco 51–200 employees Founded 2024 Privately Held

Maisa builds agentic automation for decision-heavy enterprise processes where traditional RPA and raw GenAI both fail. The stack—Go, Python, Kubernetes, Kafka, Redis—is built for reliability and auditability, not speed; the projects focus heavily on deployment, configuration, and customer onboarding rather than core product iteration. With 13 of 20 open roles in support (vs. 3 in engineering), the company is prioritizing customer success and implementation over feature velocity, a hiring posture that signals early-stage product-market fit and a services-intensive GTM.

Tech Stack 45 technologies

Core StackGo Python Kubernetes Kafka Redis MongoDB AWS HubSpot Adobe Premiere Pro After Effects Figma Playwright Cypress Selenium GraphQL JavaScript Jira Postman Apollo LinkedIn Sales Navigator Loom Azure DaVinci Resolve Frame.io Runway Firefly Google Gemini Midjourney Blender Cinema 4D+15 more

What Maisa Is Building

◆Challenges

Complex decision-heavy process automation
Ai hallucination risk
Ai hallucinations in automation
End-to-end visibility and control
Complex decision-heavy processes
Traditional automation limitations
Regulatory compliance in ai
Implementation risk mitigation
Resisting hallucinations in ai
Complex enterprise ai implementation

▲Active Projects

Digital worker deployment and handover
Digital worker solution design
Digital worker configuration in maisa studio
Reusable solution pattern development
Enterprise-wide platform rollouts
Use case repository development
Customer onboarding and training
Process discovery and mapping
Backend microservices architecture
Client implementation improvements

Hiring Activity

Accelerating20 roles · 20 in 30d

Department

Support

Engineering

Sales

Marketing

Seniority

Senior

Mid

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About Maisa

Maisa automates complex, exception-heavy enterprise processes—compliance workflows, financial operations, legal intake, onboarding—where the stakes are too high for hallucination and traditional automation is too rigid. The platform combines AI-driven reasoning with programmatic execution to ensure every action is auditable and predictable. Founded in 2024 and based in San Francisco, Maisa operates across the U.S. and Spain. The company is actively scaling customer delivery and support infrastructure while maintaining a lean engineering org, indicating a focus on implementation depth and customer confidence over rapid feature release.

HeadquartersSan Francisco

Company Size51–200 employees

Founded2024

Hiring MarketsSpain, United States

Frequently Asked Questions

What tech stack does Maisa use?

Maisa runs on Go and Python for core services, Kubernetes and Kafka for orchestration and streaming, MongoDB and Redis for data, and AWS/Azure for cloud infrastructure. Frontend tooling includes Apollo, GraphQL, and JavaScript; testing via Playwright, Cypress, and Selenium.

What is Maisa working on?

Active projects span digital worker deployment and configuration, enterprise platform rollouts, use case repository development, and customer onboarding. The company is also building backend microservices architecture and process discovery tooling.

How this profile is built

Maisa'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.