Solving My MVP has been in planning for 6 months and we still haven't started building for AI/ML
Expert Fractional CTO Solutions for AI/ML & Deep Tech Companies
This problem has significant impact on AI/ML companies, affecting operational efficiency, customer satisfaction, and competitive positioning. Our fractional CTO services provide AI/ML & Deep Tech-specific expertise to resolve this challenge quickly and sustainably.
How "My MVP has been in planning for 6 months and we still haven't started building" Impacts AI/ML
This problem has significant impact on AI/ML companies, affecting operational efficiency, customer satisfaction, and competitive positioning. In the AI/ML & Deep Tech sector, this problem manifests differently than in other industries, requiring specialized expertise and industry-specific solutions.
Business Impact
Burning $40K-$80K per month in team salaries with zero revenue. Competitors shipping and capturing market share. Investors asking uncomfortable questions about progress. Missing market timing window. Opportunity cost exceeding $500K.
AI/ML & Deep Tech Specific: Revenue loss, customer churn, competitive disadvantage
Team Impact
Developers losing motivation sitting in planning meetings. Best engineers starting to look for other jobs where they can actually build. Team cynicism increasing about whether product will ever launch. Morale at all-time low.
AI/ML & Deep Tech teams face unique pressure and expertise requirements
Leadership Impact
Embarrassed to tell investors you still haven't launched after 6 months. Constant anxiety about competition moving faster. Losing sleep over opportunity cost. Family asking when your startup will actually start. Feeling like an imposter who can't execute.
Critical for AI/ML & Deep Tech founders and technical leaders
Warning Signs for AI/ML
AI/ML & Deep Tech Red Flag
Model training taking 3x expected time
AI/ML & Deep Tech Red Flag
Inference latency exceeding SLA
AI/ML & Deep Tech Red Flag
Model drift detection failing
General Symptom
Specification documents growing longer instead of getting shorter
General Symptom
Team debating technical architecture choices endlessly
AI/ML & Deep Tech Compliance Risks
This problem can jeopardize critical compliance requirements for AI/ML & Deep Tech companies:
Our AI/ML & Deep Tech-Specific Approach
We combine deep AI/ML & Deep Tech industry expertise with proven problem-solving methodologies to deliver solutions that work in your specific context.
Solution Framework
An experienced fractional CTO brings the decision-making authority and technical judgment your team needs. We ruthlessly cut your 47-page spec down to a 2-page MVP definition, make confident technical architecture decisions based on proven patterns, and get your team building immediately. The secret: shipped and learning beats perfect planning every time.
For AI/ML & Deep Tech companies, we adapt this approach to account for industry-specific challenges including model training, mlops, and more.
Implementation Timeline
MVP Reality Check
In the first week, we analyze your specifications and cut scope by 70-80%. We identify the absolute core functionality needed to test your key hypothesis. Everything else goes on the 'after launch' list. You'll have a 2-page MVP definition instead of 47 pages.
3-5 days
AI/ML & Deep Tech optimizedMake the Technical Decisions
We choose your tech stack, architecture, and infrastructure in 1-2 days based on your specific needs and team skills. No more endless debates. We use proven technologies that let you ship fast and iterate, not experimental ones that sound cool.
1-2 days
AI/ML & Deep Tech optimizedSprint Zero - Start Building
We set up the project foundation, establish development workflows, and get your team building on day one of week 2. Clear sprint goals, daily standups, and visible progress. Your developers finally get to code.
1 week
AI/ML & Deep Tech optimizedShip Within 6-8 Weeks
We guide iterative development sprints focused on your MVP scope. Weekly demos keep everyone aligned. We make fast decisions to keep momentum. You ship a real product customers can use, then iterate based on real feedback instead of planning guesses.
6-8 weeks
AI/ML & Deep Tech optimizedTypical Timeline
Start building within 1 week, ship MVP in 6-8 weeks
For AI/ML & Deep Tech companies
Investment Range
$12k-$20k/month (fraction of what you're burning in planning)
Typical for AI/ML & Deep Tech engagement
What You Get: AI/ML & Deep Tech-Specific Deliverables
Comprehensive assessment of my mvp has been in planning for 6 months and we still haven't started building in ai/ml context
AI/ML & Deep Tech-specific solution roadmap with timeline and milestones
Technical architecture recommendations tailored to your industry
Implementation plan with risk mitigation strategies
MLOps pipeline architecture and model training optimization
Feature engineering framework and data pipeline automation
Model deployment strategy and inference performance optimization
AI/ML & Deep Tech Tech Stack Expertise
Our fractional CTOs have extensive experience with the technologies your AI/ML & Deep Tech company uses:
languages
frameworks
databases
Success Metrics for
When we solve "My MVP has been in planning for 6 months and we still haven't started building" for AI/ML & Deep Tech companies, you can expect:
Improvement in key performance metrics
To full resolution and sustainability
AI/ML & Deep Tech compliance maintained
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Learn about AI/ML & Deep Tech solutions →Ready to Solve My MVP has been in planning for 6 months and we still haven't started building in Your AI/ML & Deep Tech Company?
Get expert fractional CTO guidance with deep AI/ML & Deep Tech expertise. Fast resolution from $2,999/mo.