LLM projects get stuck because they lack transparency
LLMs are powerful but produce inconsistent results that traditional software engineering and data science methods can’t address.
Can’t predict when it’ll be done or forecast cost or speed
Can't figure out where or how to improve the solution
Can’t detect accidental degradations when changes are made
Can’t quantify how it works and prove it won’t make error
We solve LLM transparency challenges with Performance-Driven Development™
Performance-Driven Development™ is our proven methodology for building LLM-based solutions that address limitations and meet stakeholder expectations.
WITH PERFORMANCE-DRIVEN DEVELOPMENT™
Secure internal alignment
End the debates about AI risks and value. Show customers, legal, and security stakeholders how your solution performs and mitigates risks.
Deploy robust AI solutions
Take your AI from experiments and demos to production in weeks instead of months.
Build your AI capabilities
Get the insights and guidance your team needs by learning from seasoned AI experts.
Maximize AI investments
Think big, start small. Build for enterprise scale while selectively investing in the right AI infrastructure.
Organize Data & Tasks
Define business goals in a format everyone understands
Build AI Solution
Improve LLM performance using 13 optimization techniques
Design Evaluation Framework
Instantly measure performance with KPIs
Generate Performance Report
Customized for your solution
Since 2017, these are just a few of the companies that have hired Prolego to unstuck their AI projects
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