Solutions for Real Challenges

Problem-focused solutions for common engineering challenges. From startup MVPs to enterprise modernization.

Aevora Solutions - AI & Cloud Solutions for Startups & Enterprises
Startup MVP Launch

Problem

You need to validate your product idea quickly.

Build and deploy a minimum viable product to test market fit.

Use Case

Startup founders need to validate their product idea and secure funding. They need a working product fast, but built on a foundation that can scale.

Expected Timeline

6-12 weeks

Outcomes

  • Product ready for testing
  • Core features implemented
  • Scalable architecture foundation
  • Investor-ready demo

Architecture Overview

Cloud-native microservices

AI Knowledge Assistants

Problem

You want to add AI capabilities to your SaaS product.

Integrate AI features and RAG systems into existing or new SaaS platforms.

Use Case

SaaS companies need to add intelligent assistants, document search, or contextual insights to their products. They need RAG systems that connect their data to LLMs.

Expected Timeline

8-16 weeks

Outcomes

  • AI features integrated
  • RAG system implemented
  • LLM integration complete
  • Intelligent assistants deployed

Architecture Overview

Event-driven architecture with AI services

Platform Modernization

Problem

Your legacy systems need updating.

Modernize legacy systems and migrate to cloud-native architecture.

Use Case

Enterprises with legacy monolithic systems that are hard to maintain, scale, or extend. They need to modernize without disrupting operations.

Expected Timeline

12-24 weeks

Outcomes

  • Legacy systems modernized
  • Cloud migration completed
  • Technical debt reduced
  • Improved scalability and performance

Architecture Overview

Hybrid cloud with container orchestration

Cloud Cost Optimization

Problem

Your cloud costs are too high.

Analyze and optimize cloud infrastructure to reduce costs while maintaining performance.

Use Case

Companies spending too much on cloud infrastructure. They need optimization without sacrificing performance or reliability.

Expected Timeline

4-8 weeks

Outcomes

  • Cloud costs reduced (typically 30-50%)
  • Resources right-sized
  • Monitoring and alerts configured
  • Cost optimization strategy implemented

Architecture Overview

Multi-cloud with auto-scaling

Internal Tools & Automation

Problem

Manual processes are slowing your team down.

Build custom internal tools and automate repetitive business processes.

Use Case

Teams spending too much time on manual, repetitive tasks. They need custom tools and automation to improve efficiency and focus on high-value work.

Expected Timeline

6-12 weeks

Outcomes

  • Internal tools deployed
  • Processes automated
  • Data workflows configured
  • Team efficiency improved

Architecture Overview

API-first with workflow automation

Need something different?

We can adapt these solutions or build something custom for your needs.

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