Kaya
Kaya
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Critical operations cannot pause for AI experiments.

Kaya runs reviews, field workflows, and operational decisions across legacy and modern systems the same way every time, without disrupting critical infrastructure. 

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The Challenge

When AI stalls in customer operations. 

Energy and utilities organizations operate under constant pressure; aging infrastructure, strict regulation, and real-world consequences if systems fail. Intelligence exists across control systems, field operations, and enterprise platforms, but it rarely moves together. 

Common Challenges

  • Disconnected legacy and modern systems 
  • Manual coordination across field and ops teams 
  • Slow approvals and fragmented decision paths 
  • High governance and compliance overhead 
  • Limited visibility into operational outcomes 
Governed AI execution for energy and utilities on the Kaya platform
Kaya Enterprise AI Execution Platform — the iFlow cycle: Learn, Signal, Context, Policy, Decision, Action

The Kaya Approach

How intelligence moves in practice.

Kaya Intelligence Flows (iFlows) define how signals from systems, field activity, and events are transformed into governed actions; routing intelligence across teams and tools with operational discipline.

Example Energy & Utilities Flows 

  • Field Work Coordination: Route insights between field teams and operations 
  • Incident Review & Escalation: Apply policy-driven approvals and response paths 
  • Asset & Maintenance Decisions: Coordinate intelligence across systems of record 
  • Operational Risk Management: Ensure traceable, auditable decisions at every step 
Kaya Enterprise AI Execution Platform — the iFlow cycle: Learn, Signal, Context, Policy, Decision, Action
LEARN ABOUT iFLOWS

Built on the platform

Capabilities Engineered for Critical Operations. 

In infrastructure-heavy environments, intelligence must be reliable before it is fast. 

Deterministic Execution 

Repeatable execution across field systems, control platforms, and operational tools. 

Legacy-System Coordination

Orchestrate intelligence across modern tools and long-standing infrastructure. 

Operational Isolation by Risk

Separate high-risk operational flows from analytical or planning intelligence. 

End-to-End Visibility

Track how intelligence informs decisions across operations, maintenance, and compliance. 

Kaya brings intelligence into critical workflows, without disrupting stability.

EXPLORE THE PLATFORM

Designed For

Built for operationally complex organizations. 

Operations Leaders

Reliability and visibility at scale 

Field & Infrastructure Teams 

Coordinated execution without disruption 

IT & Architecture 

Governed across legacy and modern systems 

In Practice

Designed for infrastructure that cannot fail. 

Kaya is built for environments where intelligence must move safely, predictably, and continuously; without compromising operational integrity. 

Bring dependable AI execution to critical operations 

See how Kaya executes intelligence across systems, teams, and decisions; without disrupting the infrastructure that keeps everything running. 

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CASE STUDY · FINANCIAL SERVICES

Trade-fail resolution, governed and in production.

A global financial-services firm runs trade fail resolutions powered by the Kaya platform, early results showing a 70% reduction in costs.

The Business Problem

  • Unresolved settlement fails carry direct costs: fines and fees on the failed trades, financing and funding charges, and the operational overhead of resolving them, alongside counterparty exposure.
  • Visibility typically arrives at or after end of day, once the cost is already locked in.
  • Without a live, exposure-ranked view, operational attention spreads evenly rather than concentrating on the positions that carry the most risk.

The Solution

  • The platform continuously evaluates settlement obligations through the trading day and surfaces those failing, or at risk of failing, ranked by dollar exposure, while there is still time to act.
  • Evaluation is deterministic, driven only by explicit upstream signals: the same inputs produce the same classification on every run.
  • The platform identifies and prioritizes; the operations team retains the decision, and every state change is timestamped and attributed.
  • It runs on the firm’s own AWS infrastructure, consuming the firm’s existing data feeds over event stream, APIs, and secure file transfer.

Results

70%

reduction in costs in early results.Client-stated, measured on live data.

  • SOC 2 Type II attested and ISO 27001 certified.
AWS Qualified Software