Kaya AI

Procurement and supply chain platform for mission-critical construction whose AI agent, Amber, drafts RFPs, levels bids, tracks owner-furnished equipment, and coordinates last-mile deliveries.

Definition

Kaya AI (usekaya.ai), based in San Francisco, is a procurement, equipment tracking, and delivery coordination platform for mission-critical construction such as data centers, hospitals, and advanced manufacturing. Its AI agent, Amber, draws on drawings, specs, submittals, RFIs, supplier quotes, schedules, and equipment lead times to follow up with vendors, flag schedule risk, and answer questions about project status. The platform drafts and revises RFPs from specs and past awards, levels bids side by side on cost, scope, schedule, and risk, tracks owner-furnished (OFCI/OFE) equipment such as switchgear, generators, transformers, and cooling units from order to installation, and runs a last-mile delivery calendar where partners request slots and conflicts are handled automatically. Kaya links submittals to procurement and delivery logs and updates project timelines as items move. Customers include Turner Construction and Suffolk, and Kaya has integrations with Procore and Oracle Primavera P6. In December 2025 it named former Amazon Rufus lead Mukesh Jain as CTO. Pricing is not published; contact the vendor.

In Depth

On a data center or hospital job, the critical path often runs through a factory, not the site. Switchgear, generators, transformers, and cooling equipment have lead times measured in months, much of it is owner-furnished, and a slipped delivery can idle a whole floor. Kaya AI is built around that problem: procurement, equipment tracking, and last-mile delivery in one system, so a decision made at RFP carries through to the delivery slot on site.

Amber, Kaya's agent, does the follow-up work in between. It chases vendors for lead time updates, links submittals to the procurement and delivery log, updates timelines as items move, and flags when a fabrication or submittal approval delay will hit the schedule. On the front end, Kaya drafts RFPs from specs and past awards and levels bids across cost, scope, schedule, and risk; on the back end, partners request delivery windows through a live calendar. Turner and Suffolk are public users, and the platform connects to Procore and Primavera P6.

For an evaluation, pick a package of long-lead equipment on a live job and compare how early Kaya surfaces risk against your current tracking spreadsheet. Confirm how owner-side and contractor-side users share the same equipment record, and how the P6 sync handles schedule updates in each direction.

Examples

1

A data center GC tracks switchgear and generator lead times from purchase order through factory testing and delivery

2

Subcontractors book delivery windows on Kaya's live calendar and Amber resolves two overlapping requests for the same laydown area

3

A procurement manager drafts an RFP for cooling equipment from the spec and levels the returned bids on cost, scope, and schedule

Frequently Asked Questions

Kaya AI (usekaya.ai), based in San Francisco, is a procurement, equipment tracking, and delivery coordination platform for mission-critical construction such as data centers, hospitals, and advanced manufacturing. Its AI agent, Amber, draws on drawings, specs, submittals, RFIs, supplier quotes, schedules, and equipment lead times to follow up with vendors, flag schedule risk, and answer questions about project status. The platform drafts and revises RFPs from specs and past awards, levels bids side by side on cost, scope, schedule, and risk, tracks owner-furnished (OFCI/OFE) equipment such as switchgear, generators, transformers, and cooling units from order to installation, and runs a last-mile delivery calendar where partners request slots and conflicts are handled automatically. Kaya links submittals to procurement and delivery logs and updates project timelines as items move. Customers include Turner Construction and Suffolk, and Kaya has integrations with Procore and Oracle Primavera P6. In December 2025 it named former Amazon Rufus lead Mukesh Jain as CTO. Pricing is not published; contact the vendor.

A data center GC tracks switchgear and generator lead times from purchase order through factory testing and delivery. Subcontractors book delivery windows on Kaya's live calendar and Amber resolves two overlapping requests for the same laydown area. A procurement manager drafts an RFP for cooling equipment from the spec and levels the returned bids on cost, scope, and schedule.

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