Sold by: GOStack
Uncover hidden risks, validate scalability, and make confident investment decisions with GOStack’s comprehensive Technical Due Diligence service. We provide in-depth analysis of technology assets, processes, and teams to ensure your investments are sound and future-proof.
Overview
GOStack’s Technical Due Diligence service offers a thorough and unbiased evaluation of a company’s technological landscape, crucial for investors, acquirers, and product leaders. Our approach, Assess. De-Risk. Decide., is designed to provide clear, actionable insights into the true state of a target company’s technology.
We go beyond surface-level assessments, diving deep into critical areas to identify potential risks, validate existing capabilities, and uncover opportunities for growth and optimization.
Our comprehensive service includes:
Code & Architecture Review For investors & CTOs – we examine the quality, modularity, and future readiness of the codebase and platform architecture. This includes detecting hidden technical debt, assessing architecture against future growth plans, and identifying risks that impact maintainability and velocity.
Infrastructure & DevOps Audit For tech leads & operations teams – we analyze cloud spend, automation maturity, reliability, and deployment practices. Our audit ensures that the infrastructure is robust, cost-effective, and scalable to meet future demands.
Team & Process Evaluation For VCs, founders & product leaders – we assess delivery velocity, Agile practices, organizational structure, and cultural fit. We review Agile and sprint data for real delivery insights, evaluate team structure, tech stack fluency, and ownership, and flag leadership gaps, knowledge silos, or scaling risks.
Post-Investment Action Plan For acquirers & scale teams – we outline clear, prioritized steps to improve, integrate, and scale the platform post-deal. This includes a prioritized action plan with high-impact improvements, an integration & scaling roadmap across tech and teams, and a clear view of where to invest, fix, and accelerate.
Our service is characterized by:
- True Engineering Insight: We’re not checkbox auditors — we dig into real systems and tell you what matters.
- Balanced Risk Perspective: We weigh technical strengths, weaknesses, and trade-offs against your business goals.
- Full-Spectrum Coverage: From cloud infra and CI/CD to team capability and product maturity — we assess it all.
- Clear, Actionable Reports: Prioritized findings, not just red flags — with recommendations you can actually use.
Associated AWS Services:
- Amazon EC2
- Amazon S3
- Amazon RDS
- Amazon DynamoDB
- AWS Lambda
- AWS Elastic Kubernetes Service (EKS)
- AWS Elastic Container Service (ECS)
- AWS CloudFormation
- AWS CodePipeline
- AWS IAM
- AWS Key Management Service (KMS)
- AWS Secrets Manager
- Amazon CloudWatch
- AWS Trusted Advisor
- AWS Config
Highlights
- Comprehensive Technology Assessment: In-depth analysis of codebase, architecture, infrastructure, DevOps, and team capabilities.
- Actionable Insights & Recommendations: Receive clear, prioritized findings and a strategic post-investment action plan.
- Experienced Engineering Team: Leverage GOStack’s deep engineering expertise for unbiased and thorough technical evaluations.
Details
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Comprehensive Professional Support
GOStack provides dedicated support throughout your engagement.
Support Channels:
- Email: support@gostack.eu
- Phone: Available upon service activation
- Project Manager: Dedicated point of contact
- Support Portal: Dedicated client portal for communication
Support Levels:
- Critical Issues (P1): 15-minute response time, 24/7 availability
- High Priority (P2): 2-hour response time during business hours
- Medium Priority (P3): 8-hour response time during business hours
- Low Priority (P4): 24-hour response time during business hours
What’s Included:
- Dedicated project management and communication
- Expert consultation and technical guidance
- Regular progress updates and reporting
- Knowledge transfer and documentation
- Post-implementation support and optimization
- Best practices recommendations