AI is only as smart as the infrastructure
it runs on.
AI is only as smart as the
infrastructure it runs on.
Xenese™ orchestrates intelligent workloads with full visibility,
better ROI, and decisions you can stand behind.
Xenese™ orchestrates intelligent
workloads with full visibility, better ROI, and
decisions you can stand behind.
Solutions
Solutions
Data Center Solutions
Data Center Solutions
Maximize GPU ROI with intelligent workload orchestration and system-wide traceability.
Maximize GPU ROI with intelligent workload orchestration and
system-wide traceability.
AI Infrastructure
Optimization
Business Challenge
Enterprises invest heavily in GPUs and AI accelerators but struggle to fully utilize their performance across siloed workloads and hybrid environments. Model training and inference remain centralized and disconnected from edge applications.
Xenese™ Solution
Xenese overlays existing GPU investments with a distributed AI fabric that extends compute power to the edge. Using in-memory analytics and transactional machine learning (TML), Xenese enables continuous training and low-latency inference across nodes, maximizing throughput and utilization. GPU workloads can be distributed, orchestrated, and benchmarked across geographies in real time.
Key Results
%
improvement in GPU utilization
%
reduction in latency for edge inference workloads
%
accelerated time-to-value for AI initiatives
AI Infrastructure
Optimization
Business Challenge
Inefficient line configurations and inventory delays cause bottlenecks and material waste. Legacy systems cannot simulate process options in real time.
Xenese™ Solution
Xenese overlays existing GPU investments with a distributed AI fabric that extends compute power to the edge. Using in-memory analytics and transactional machine learning (TML), Xenese enables continuous training and low-latency inference across nodes, maximizing throughput and utilization. GPU workloads can be distributed, orchestrated, and benchmarked across geographies in real time.
Key Results
%
improvement in GPU utilization
%
improvement in GPU utilization
%
reduction in latency for edge inference workloads
%
reduction in latency for edge inference workloads
%
accelerated time-to-value for AI initiatives
%
accelerated time-to-value for AI initiatives
Petabyte-Scale
Analytics &
AI Orchestration
Business Challenge
AI adoption is hindered by the inability to process unstructured, fragmented, and siloed datasets quickly enough for real-time decisioning. Centralized processing models cause bottlenecks and delay insights.
Xenese™ Solution
With a petabyte-scale streaming engine and multimodal ingestion framework, Xenese continuously processes logs, APIs, sensor feeds, PDFs, video, and structured data across edge and cloud infrastructure. It unifies analytics pipelines and supports both real-time scoring and batch analysis with AI model integration and ledger-backed traceability.
Key Results
%
faster data-to-insight conversion
%
faster data-to-insight conversion
%
unified observability across AI operations
%
unified observability across AI operations
%
enabled compliance-grade audit trails
%
enabled compliance-grade audit trails
Secure
AI-Ready
Data Fabric
Business Challenge
As data centers expand, securing AI pipelines becomes a major concern, especially in regions with strict data residency and compliance standards. Fragmented identity systems, opaque model behavior, and uncontrolled data sharing pose operational risks.
Xenese™ Solution
Xenese implements a cryptographically verifiable, zero-trust data fabric. Each user, action, and inference is hashed to an immutable ledger, creating transparent, tamper-proof audit logs. Role-based access control (RBAC), model governance, and privacy-preserving analytics protect sensitive data while enabling continuous learning.
Key Results
%
immutable lineage for AI data pipelines
%
immutable lineage for AI data pipelines
%
reduction in compliance audit preparation time
%
reduction in compliance audit preparation time
%
enabled deployment in high-trust environments
%
enabled deployment in high-trust environments
AI-as-a-Service
(AIaaS)
Enablement
Business Challenge
Enterprises and governments in emerging markets are looking for integrated AI platforms that can unify compute, cloud, and analytics capabilities, without duplicating infrastructure. Fragmented tech stacks limit agility and innovation.
Xenese™ Solution
Xenese unifies digital services including cloud, edge, cybersecurity, and compute, into a resilient AIaaS platform. Localized training, streaming inference, and low-code orchestration accelerate time-to-launch for new services while enabling continuous improvement. Partners can onboard pilots in weeks, then scale across sectors with minimal friction.
Key Results
%
defect detection accuracy
%
defect detection accuracy
%
operational expense savings
%
operational expense savings
%
enablement of multi-sectorial innovations
%
enablement of multi-sectorial innovations
Petabyte-Scale
Analytics &
AI Orchestration
Business Challenge
AI adoption is hindered by the inability to process unstructured, fragmented, and siloed datasets quickly enough for real-time decisioning. Centralized processing models cause bottlenecks and delay insights.
Xenese™ Solution
With a petabyte-scale streaming engine and multimodal ingestion framework, Xenese continuously processes logs, APIs, sensor feeds, PDFs, video, and structured data across edge and cloud infrastructure. It unifies analytics pipelines and supports both real-time scoring and batch analysis with AI model integration and ledger-backed traceability.
Key Results
%
faster data-to-insight conversion
%
unified observability across AI operations
%
enabled compliance-grade audit trails
Secure AI-Ready
Data Fabric
Business Challenge
As data centers expand, securing AI pipelines becomes a major concern, especially in regions with strict data residency and compliance standards. Fragmented identity systems, opaque model behavior, and uncontrolled data sharing pose operational risks.
Xenese™ Solution
Xenese implements a cryptographically verifiable, zero-trust data fabric. Each user, action, and inference is hashed to an immutable ledger, creating transparent, tamper-proof audit logs. Role-based access control (RBAC), model governance, and privacy-preserving analytics protect sensitive data while enabling continuous learning.
Key Results
%
immutable lineage for AI data pipelines
%
reduction in compliance audit preparation time
%
enabled deployment in high-trust environments
AI-as-a-Service
(AIaaS)
Enablement
Business Challenge
Enterprises and governments in emerging markets are looking for integrated AI platforms that can unify compute, cloud, and analytics capabilities, without duplicating infrastructure. Fragmented tech stacks limit agility and innovation.
Xenese™ Solution
Xenese unifies digital services including cloud, edge, cybersecurity, and compute, into a resilient AIaaS platform. Localized training, streaming inference, and low-code orchestration accelerate time-to-launch for new services while enabling continuous improvement. Partners can onboard pilots in weeks, then scale across sectors with minimal friction.
Key Results
%
defect detection accuracy
%
operational expense savings
%
enablement of multi-sectorial innovations
Lead What’s Next With Xenese
Join First Genesis and our partners to build Real-Time AI you can trust.
Lead What’s Next With Xenese
Join First Genesis and our partners to build Real-Time AI you can trust.
Lead What’s Next With Xenese
Join the companies building with real-time AI they can trust.