Case Study
Air Company
How Kipo AI helps Air Company build fuel manufacturing plants faster and at lower costs.
Save engineering hours
Select and configure automation and control components to meet complex technical requirements, saving 10 hours per week.
Reduce costs by 12%+ across the whole BOM
Find cost-saving alternates and use AI agents to negotiate on everything from high-end controllers to commodities.
Complete plant bring-up 6 weeks earlier
Ensure engineering picks available parts and purchasing orders the right parts from the fastest distributors.
The challenge
Air Company developed a process to turn captured carbon into synthetic jet fuel. But their manual procurement process was slow and error-prone, leading to vendor lock-in and delays across billions of dollars in planned spend for multiple plants.
They needed an automated solution to scale without budget or time constraints.
“It would take me all afternoon to find a cost-saving alternative to a single Emerson instrument. We can't spend that time. The Kipo platform lets us both move fast and hit our cost targets.”
The solution
Jagan Reddy, Head of Engineering, implemented Kipo AI. The engineering team uses the AI agent to specify parts for new processes, while the sourcing team uses it to second-source, quote, and negotiate hundreds of parts at once from bills of material.
Kipo's AI assistant saves each user seven hours per week by reading drawings and datasheets to match parts to technical requirements.
AirCo saves 12% using the Sourcing Agent and completes sourcing six weeks faster. The AI handles RFQs and negotiations on auto-pilot with human oversight.
Outcome
With Kipo's help, Air Company delivers plants months ahead of competitors and wins ever-larger offtake agreements. As it scales further and spends billions on new facilities, Kipo will help it save eight to nine figures in equipment.
Air Company completes plant bring-up six weeks earlier while reducing BOM costs by 12%+.