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Tilda Research Tech Stack

AI agents for clinical trial operations and regulatory compliance

Biotechnology Research Tustin, California 51–200 employees Founded 2019 Privately Held

Tilda Research builds autonomous AI agents purpose-built for clinical trial workflows — automating documentation, data extraction, and compliance tasks that traditionally require manual effort. The tech stack is infrastructure-heavy (Kubernetes, Terraform, CloudFormation across AWS/GCP/Azure) with robust CI/CD and observability (GitHub Actions, GitLab CI, Datadog, Prometheus), indicating a complex operational environment. Current hiring skews senior engineering and product roles, with active focus on test automation frameworks and QMS systems — a pattern that aligns with a compliance-first business selling into regulated healthcare.

What Tilda Research Is Building

Challenges

  • Manual repetitive processes
  • User efficiency and compliance
  • Ensuring compliance with global regulatory standards
  • Maintaining inspection readiness
  • Strengthening quality management system

Active Projects

  • Automation frameworks across testing, ci/cd, infrastructure, and internal workflows
  • Ci/cd pipeline optimization
  • Automated testing strategies
  • Ai-driven feature design (document classification, metadata extraction, workflow automation)
  • Capa investigations
  • Qms improvement
  • Vendor qualification

Hiring Activity

Accelerating5 roles · 3 in 30d

Department

Engineering
2
Product
1
Quality
1

Seniority

Senior
3
Mid
1
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About Tilda Research

Tilda Research develops AI agents that automate the operational backbone of clinical trials. The platform targets CROs, sponsors, and research organizations managing trial workflows, replacing human-intensive tasks in data management, regulatory documentation, and compliance monitoring. Founded in 2019 and based in Tustin, California, the company operates at 51–200 employees with engineering and product centered in North America and expansion hiring in India. Projects span automation frameworks, CI/CD optimization, document classification, metadata extraction, and quality management system improvements — reflecting both internal maturation and customer-facing feature velocity.

HeadquartersTustin, California
Company Size51–200 employees
Founded2019
Hiring MarketsIndia

Frequently Asked Questions

What tech stack does Tilda Research use?

Python, Go, TypeScript, and React for application code; AWS, GCP, and Azure for cloud infrastructure; Kubernetes and Docker for orchestration; GitHub Actions, GitLab CI, and Jenkins for CI/CD; Datadog, Prometheus, and Grafana for monitoring.

What is Tilda Research working on?

AI-driven feature design (document classification, metadata extraction, workflow automation), CI/CD pipeline optimization, automated testing strategies, quality management system improvements, and vendor qualification frameworks.

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