Most AI projects never reach production.
We bridge the AI Production Gap
We optimize, monitor, and maintain AI projects at scale.
Half of AI projects fail to reach production.
The AI Production Gap is real.
Most enterprise AI projects get stuck at the proof-of-concept.
Models change. Prompts break. Costs spiral. IT loses control.
This is the AI Production Gap—and it’s killing AI at scale
The AI Production Gap Is Real
95%
of AI pilots collapse before deployment due to high costs, security risks, data privacy and accuracy issues.
(source MIT State of AI in Business, 2025)
The results? Wasted resources and eroded trust.
My AI agent should give me consistent answers all the time
All the AI add-ons have significantly increased our costs
IT is against the use of online AI tools due to risks of data breach
There are 1,000+ LLM available. Which one should I use?
We are building the Context OS.
A trusted platform to optimize Enterprise AI.
Skilled
We find the best AI skills for the tasks : accuracy, speed and costs are automatically improved as new tools and LLMs get released.
Open
We believe in the richness and benefits of open source AI models and we thrive to make them useful in Enterprise applications.
Smart
Agents and models are maintained and improved in the background — freeing your development time.
Context
We craft the context provided to the LLM in order to best solve the tasks and get consistent answers.