From Zero to Hero

Our team of open source experts will guide you from AI opportunities to full implementation, keeping your data secure and your costs minimal.

Validate

Identify and validate open source opportunities

Automate

Build and deploy your local AI solution

Optimise

Scale, maintain and enhance your system

1

Open Source Discovery Session

2-3 hours

We analyze your business processes to identify where open source LLMs can replace expensive API calls and third-party services. Calculate real ROI based on current costs vs local deployment.

What you get:

  • Cost analysis comparing current AI spend vs open source alternatives
  • Privacy and security assessment of your data flows
  • Prioritized list of high-impact use cases
  • Technical feasibility report for each opportunity
Real Example
"A legal firm spending $8,000/month on document analysis APIs. We identified 3 use cases where local Llama deployment could handle 90% of their workload for $500/month in server costs."
2

Open Source Strategy & Roadmap

1-2 weeks

Build a comprehensive strategy for your open source AI implementation. We design the technical architecture, select optimal models, and create a detailed deployment roadmap.

Strategic deliverables:

  • Model selection guide (Llama 3, Mistral, CodeLlama, custom options)
  • Infrastructure requirements and cost projections
  • Data privacy and compliance framework
  • Risk mitigation strategies and fallback plans
  • 6-month implementation timeline
85% Average cost reduction vs APIs
100% Data stays on your infrastructure
3

Proof of Concept (PoC)

2-4 weeks

Validate your chosen solution by building the simplest possible version. Deploy a focused open source model that demonstrates core functionality with your actual data and workflows.

Technical approach:

Docker containerization
Ollama deployment
REST API integration
Performance benchmarking
Proof points we validate
  • Model accuracy meets your quality requirements
  • Response times acceptable for your use case
  • Local deployment handles your data volume
  • Integration works with existing systems
4

Minimum Viable Product (MVP)

4-8 weeks

Transform the PoC into a production-ready system that your team can use daily. Add monitoring, scaling, and user interfaces while maintaining complete data control.

Production Infrastructure

Scalable deployment with load balancing and failover

User Interface

Custom dashboard for your team to interact with the AI

Monitoring & Analytics

Real-time performance metrics and usage tracking

Security Framework

Authentication, authorization, and audit logging

Beta testing ready
Your MVP is ready for real users to test with actual workflows, providing feedback for final optimizations.
5

Ongoing Enhancement & Support

Continuous

Fully customized managed services to maintain and enhance your open source AI system. Keep up with the latest model releases while your data stays completely under your control.

Essential Support

  • Model updates and security patches
  • Performance monitoring and optimization
  • Technical support via email
  • Monthly performance reports

Premium Partnership

  • Everything in Essential, plus:
  • Custom model fine-tuning
  • New use case development
  • Priority phone/video support
  • Quarterly strategy sessions

Ready to start your open source AI journey?

Book a discovery session to explore how open source LLMs can transform your business while keeping your data completely under your control.

Schedule your discovery session
contact@tekta.ai