Why Rightbrain?
The Problem: Most AI never makes it to production
95% of AI proof-of-concepts fail before deployment.
Not because the models donât work - but because everything around them does.
Teams spend months building scaffolding: APIs, infrastructure, observability, compliance, rollback logic.
By the time itâs ready, the opportunity has passed.
8 months is the average time it takes for a team to move from prototype to production. Most never make it.
The Real Bottleneck: Infrastructure, Not Intelligence
Prototypes are easy. Production is hard.
1. The Infrastructure Trap
âWeek 1: We built a ChatGPT wrapper!â
âWeek 4: We need error handling.â
âWeek 8: Where are the logs?â
âWeek 16: The compliance team has questions.â
âWeek 32: Letâs start again - properly this time.â
Teams build everything from scratch, only to realise they needed versioning, audit trails, and rollbacks from day one.
The Rightbrain Approach: From Prompt to Production
Rightbrain replaces custom infrastructure with a Task-based architecture - small, modular AI units that can be deployed anywhere, securely, and at scale.
Rightbrain turns AI from an experiment into an operational system.
Proof in Action: PAL.health
Goal
Launch a production-ready AI health coach app - without any AI infrastructure.
Solution Rightbrain Tasks power every AI feature in their platform.
Results
- 15 production Tasks deployed in weeks
- 200+ optimisations per Task
- Feature ideas created by the founder and the underlying Task APIâs handed off to the mobile developers
I can switch models, fix issues, and ship updates daily without waiting on engineers. Without Rightbrain, this simply wouldnât be possible.
- Chris Davison, Founder & CEO, PAL.
Why It Matters
Companies that win with AI arenât the ones with the biggest models.
Theyâre the ones that ship fast, iterate safely, and scale predictably.
Rightbrain gives you the foundation to do exactly that -
from natural language idea â production-ready AI feature in a fraction of the time.
