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Maisa Tech Stack

Agentic process automation for high-stakes enterprise workflows

Software Development San Francisco 11–50 employees Founded 2024 Privately Held

Maisa builds an agentic automation platform designed to handle decision-heavy processes where hallucinations carry real cost—compliance, finance, legal intake, onboarding. The tech stack reveals a mature infrastructure play: Kubernetes, Terraform, Pulumi, Kafka, comprehensive observability (Grafana, Prometheus, Elasticsearch, Splunk), and security-first design (GuardDuty, CloudTrail, MITRE ATT&CK, SAML/OIDC). The hiring mix is entirely engineering-focused (senior + mid-level), with velocity accelerating—consistent with a startup still building the core platform rather than scaling sales, and the pain-point cluster (test flakiness, reliability in regulated environments, scaling quality) matches their active work on observability and incident response.

Tech Stack 28 technologies

What Maisa Is Building

Challenges

  • Scaling quality across platform
  • Reducing test flakiness
  • Maintaining high quality in regulated environments
  • Ensuring reliability of complex workflows
  • Optimizing cloud costs
  • Scaling infrastructure for enterprise clients
  • Ensuring reliability and availability
  • Scaling security monitoring
  • Reducing risk
  • Improving signal quality

Active Projects

  • Cloud infrastructure automation
  • Observability implementation
  • Incident response process
  • Scaling security monitoring
  • Improving signal quality
  • Reducing noise
  • Enterprise technology implementations
  • Ai-driven reasoning platform
  • Design and implement digital workers
  • Develop reusable solution components and templates

Hiring Activity

Accelerating7 roles · 4 in 30d

Department

Engineering
7

Seniority

Senior
4
Mid
3
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About Maisa

Maisa is a San Francisco-based startup (founded 2024) building an agentic process automation platform for enterprises. The product targets complex, exception-heavy workflows in finance, compliance, legal, and onboarding—processes where traditional RPA and general-purpose GenAI both fall short. The platform combines AI-driven reasoning with deterministic execution to ensure every action is auditable and reliable. Maisa currently operates as a 11–50 person team with 7 open engineering roles spanning senior and mid-level positions, hiring in Spain. The focus on cloud infrastructure automation, observability, security monitoring, and digital-worker design reflects a platform still in active construction.

HeadquartersSan Francisco
Company Size11–50 employees
Founded2024
Hiring MarketsSpain

Frequently Asked Questions

What tech stack does Maisa use?

Maisa runs on AWS with Kubernetes and Terraform/Pulumi for infrastructure. Core stack includes Kafka, Playwright/Cypress/Selenium for automation, Python/Go/JavaScript for logic, and Grafana/Prometheus/Elasticsearch for observability. Security tooling includes GuardDuty, CloudTrail, and MITRE ATT&CK integrations.

What is Maisa working on?

Active projects include cloud infrastructure automation, observability implementation, incident response, security monitoring at scale, and design of reusable digital-worker templates. Quality and reliability in regulated environments are core focus areas.

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