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AI product strategy and implementation plan for Generative AI startups

Startups supported
20+
Projected cloud cost savings
Up to 30%
Consulting hours delivered
400+
Client
NDA
Headquarters
Estonia
Founded
2001
Company size
500+
Industry
Consulting

THE CHALLENGE

How can early-stage generative AI startups compete in a saturated market while managing cost, compliance, and scalability from day one?

Civitta, an international consulting firm, has launched a program to help generative AI startups move from concept to market traction. Their clients required more than just cloud credits; they needed a clear roadmap connecting model and data decisions to revenue growth, customer retention, and risk management.

Each startup required a distinct market position, deployment flexibility, and an adaptable architecture that could pivot without disrupting operations. With limited budgets, cost control and unit economics became top priorities. The use of sensitive datasets also demanded strict GDPR compliance and enterprise-grade security. These factors made a one-size-fits-all template unworkable.

Civitta partnered with Relevant Software for delivery, recognizing our expertise in AI strategy, system architecture, and compliance-driven execution. Our task was to build a framework that clearly defines each startup’s value proposition, delivers a secure multi-cloud infrastructure, and supports efficient, scalable growth.

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THE SOLUTION

A consulting and technology framework enabling startups to deploy AI with clarity, speed, and compliance
Strategic AI roadmap development

Our team designed tailored product strategies that connected each startup’s business goals with actionable AI deployment paths.

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Multi-cloud system architecture

We developed frameworks spanning AWS, Google Cloud, Azure, and RunPod, ensuring performance, resilience, and interoperability.

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Scalability and flexibility planning

Our engineers introduced modular designs that enabled startups to scale capacity while remaining adaptable to new technologies.

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Cost optimization strategies

We created deployment models that used resources efficiently, keeping cloud expenses predictable for early-stage budgets.

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Security and compliance framework

Startups gained enterprise-level credibility with encryption, monitoring, and GDPR-ready processes built in.

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Personalized AI consulting

We delivered one-on-one sessions with founders, aligning technical choices with market needs and growth objectives.

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The Result

35% faster deployment of AI strategies

Tailored roadmaps and streamlined architectures reduced the time from planning to execution by over a third, helping startups reach market readiness faster.

4 major cloud platforms integrated

A unified architecture allowed seamless use of AWS, Google Cloud, Microsoft Azure, and RunPod, giving founders resilience and flexibility without added complexity.

100% GDPR-ready compliance

Robust security, monitoring, and audit frameworks gave startups the credibility to work with enterprise clients and operate confidently in regulated markets.

THE CLIENT’S REQUEST
  • Build clear AI strategies tied to business goals
  • Enable secure multi-cloud deployment
  • Scale without runaway costs
  • Meet compliance requirements
  • Support differentiation in a crowded AI market
WHAT WE DID
  • Delivered strategic AI roadmaps aligned to revenue, margin, and risk targets
  • Designed multi-cloud architecture across AWS, GCP, Azure, and RunPod with unified security controls
  • Built scalable, modular infrastructure and a cost control playbook to hold unit costs flat at scale
  • Implemented GDPR-ready security and compliance controls with full audit evidence
  • Defined a differentiation plan using proprietary data fine-tunes, domain prompts, and RAG features

Relevant Software found an individual approach to each team they worked with!

Olena Shershun
Associate Partner

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