Strategic Technical Partnership for VC Funds and Startups

DevOps/Platform Maturity Assessment:
Audit of current engineering practices, architecture, CI/CD processes, and startup infrastructure to determine its technical maturity, scalability, and risks.

Security and Compliance Assessment:
In-depth analysis of security and regulatory compliance (especially in MedTech and FinTech) and plans to address vulnerabilities.

Team and Process Analysis:
Assessment of the organization of development and operations teams and their ability to deliver products quickly and reliably.

Technical roadmap development:

We help startups create realistic and scalable roadmaps for developing their technical platforms.

Creation of a “Golden Path/Blueprint” for the platform:

Developing a standard, secure, and scalable platform template that can be quickly implemented in new portfolio startups to ensure consistency and accelerated launch.

Mentoring:

Providing technical mentoring for startup CTOs from our leading engineers to accelerate the implementation of best practices.

The final Enterprise Value (EV) indicator depends on the choice of exit multiple, most often EV/EBITDA. Strategic buyers, unlike financial buyers (private equity), usually pay premium multiples for a company because they expect significant synergies across all aspects of the company's operations and an acceptable level of risk.  

The role of a strategic technical partner is to ensure this premium:

Proof of Technical Maturity and Scalability:
Competent platform engineering ensures process consistency and low team workload. This reduces the risk for buyers, which justifies a higher price.

Low Technical Risk:
Confirmation of unique technologies and low technical debt is a direct justification for applying a higher EV/EBITDA multiple.  

In DCF (Discounted Cash Flow) analysis, the terminal value, which is determined by the exit multiple, often accounts for 60-80% of the total value of the company. Consequently, an increase in the multiplier by just 1–2 points, achieved through proven technical maturity, has a huge, multiplicative financial impact on the Fund's final return.

In the early stages, startups often use monolithic architectures, which, although they provide fast time-to-market (TTM) at the MVP stage, become a critical bottleneck as the user base grows. To overcome this obstacle, we conduct an architectural sustainability audit and facilitate the transition to microservice solutions managed through containerization (e.g., Kubernetes).  

Strategic Reference Architectures (TRA)
Instead of inventing our own CI/CD, monitoring, and security stack, we implement unified Technical Reference Architectures (TRA). TRA serves as the “Golden Path”: a pre-configured, secure, and optimized workflow that ensures that any new application or feature immediately complies with industry best practices. 

Impact on Finance:
The standardization provided by TRA enables synergies. This reduces operational risks, simplifies integration (Time-to-Integration) in M&A deals, and potentially reduces tooling costs.

A sound architecture implemented through IDP enables control, scale, and speed, which is the cornerstone for maximizing exit valuation.

The product launch phase (Going Live) is the moment of highest tension and risk for a startup. The speed with which a company can bring a product from development to production (Time-to-Market, TTM) directly affects revenue growth and reduces the initial phase of negative return (J-Curve).  We guarantee that Going Live will become a normal part of your work routine and will not require any heroic efforts. Our experience in launching numerous projects will help you minimize risks and associated financial losses. 

Zero-Friction Delivery: Continuous Integration/Continuous Deployment (CI/CD) Discipline

We eliminate the manual labor and delays that traditionally accompany the release process by implementing mature, fully automated Continuous Integration and Continuous Deployment (CI/CD) pipelines.

Automation as a Culture:
Implementing DevOps practices means that teams move to releasing software in smaller, more frequent, and incremental batches. This allows DevOps teams to deploy code to production multiple times a day, enabling fast feedback cycles and immediate response to market changes. 

Immutable Audit Trail:
Automated deployment ensures the creation of detailed and immutable audit logs for every code change and deployment. This is a fundamental requirement for regulations such as HIPAA (requires records to be stored for up to six years) and SOX (change control), ensuring due diligence and protecting the Fund from penalties.

The main goal of a secure “Going Live” is to minimize the frequency and cost of failures in Production.

Preventive Savings:
Studies show that fixing a software bug in a production environment can be 100 times more expensive than fixing the same bug during development. The automated testing and mature release processes we provide ensure that most defects are detected and eliminated long before they reach the end user. 

Financial Cash Flow (FCF) Predictability:
A reliable, low-risk deployment process ensures stability and predictability in operations. This stability, in turn, is a key factor in improving the reliability of Free Cash Flow (FCF) forecasts and reducing overall business risks.

Continuous integration/continuous delivery (CI/CD):
Development and implementation of fully automated pipelines for fast, frequent, and reliable code deployment (using GitLab CI, GitHub Actions, Argo CD, etc.).

Platform Engineering and IDP (Internal Developer Platform):
Creation of a unified internal platform for developers (“paved road”) that provides self-service tools for rapid application creation, deployment, and management. This reduces the cognitive load on developers and accelerates innovation.

Site Reliability Engineering (SRE):
Implementing SRE best practices to ensure high availability, resilience, and minimize downtime (SLAs, SLOs, incident management).

 

Infrastructure as Code (IaC): Managing cloud infrastructure (AWS, Azure, GCP) using code (e.g., Terraform, Pulumi). This ensures repeatability, consistency across environments (Dev/Stage/Prod), and rapid scaling.

Containerization and orchestration: Using Docker and Kubernetes to efficiently deploy and manage a microservices architecture, allowing applications to scale independently.

Cloud cost optimization (FinOps):  Analyzing and optimizing cloud resource usage to reduce startup operating costs without compromising performance.

This is critically important for fintech (financial data) and medtech (patient data, HIPAA/GDPR).

DevSecOps: Embedding automated security and regulatory compliance checks (e.g., SOC 2, HIPAA, PCI DSS) at every stage of the development cycle (shift-left security).
Identity and Access Management (IAM):  Setting up robust, granular access policies.
Audit and Logging: Implementing comprehensive monitoring and logging systems to ensure transparency and audit readiness.
Data residency solutions: Develop and implement cloud strategies that ensure compliance with data storage and processing requirements (e.g., in Europe).