AWS-Native Enterprise Software & AI Engineering
Engineering for production environments where security, reliability, performance, and cost control are non-negotiable
What We Build
We design and implement:
- AWS-native cloud platforms
- Production AI and ML systems
- Real-time and event-driven architectures
- Secure, audit-ready data systems
Every system is structured for security, scale, failure isolation, and long-term operability.
Insights
- Why Most AI Pilots Never Survive Production
- Lambda vs Fargate at Scale
- Designing Deterministic AI Systems
- Failure Modes in Event-Driven Systems
- How to Cost-Model AI Workloads
- Media Analysis Is a Systems Problem
- Why Media Pipelines Break at Scale
- Deterministic Media Analysis
- Cost Modeling Long-Running Media Jobs
- Why Echosaw Is Not a Creative Tool
About Us
Services
Delivery Model
Services
Orange Sky Software builds secure, high-availability systems for organizations that need software to actually work at scale. We specialize in AWS-native architectures, real-time systems, and AI-driven workflows—designed, built, and operated with production realities in mind.
Our work spans the full lifecycle: from system design and data fo
Orange Sky Software builds secure, high-availability systems for organizations that need software to actually work at scale. We specialize in AWS-native architectures, real-time systems, and AI-driven workflows—designed, built, and operated with production realities in mind.
Our work spans the full lifecycle: from system design and data foundations to AI model integration, autonomous agent workflows, and long-running operational platforms. We focus on pragmatic AI—automation, intelligence, and decision support that is auditable, scalable, and aligned with real business constraints.
We don’t sell demos. We build durable systems: cloud infrastructure, AI pipelines, and software platforms engineered for performance, security, and growth.
Approach
Delivery Model
Services
We start by understanding the problem, not by pitching technology. Our work is grounded in clear objectives, real constraints, and explicit success criteria—technical, operational, and business.
We design systems to fit the reality of your environment: security posture, scale expectations, cost boundaries, and long-term maintainability. We
We start by understanding the problem, not by pitching technology. Our work is grounded in clear objectives, real constraints, and explicit success criteria—technical, operational, and business.
We design systems to fit the reality of your environment: security posture, scale expectations, cost boundaries, and long-term maintainability. We favor simple architectures where possible, automation where it creates leverage, and AI only when it meaningfully improves outcomes.
Our approach prioritizes correctness, clarity, and durability. The result is software that integrates cleanly, scales predictably, and produces measurable results—not theoretical capability or short-lived experiments.
Delivery Model
Delivery Model
Delivery Model
Orange Sky delivers production-grade AI systems through a structured, outcome-driven engagement model designed to minimize risk and maximize clarity from day one.
Every engagement begins with a focused discovery and scoping phase to define objectives, constraints, data realities, and success criteria. From there, we design and implement a
Orange Sky delivers production-grade AI systems through a structured, outcome-driven engagement model designed to minimize risk and maximize clarity from day one.
Every engagement begins with a focused discovery and scoping phase to define objectives, constraints, data realities, and success criteria. From there, we design and implement a tailored solution using modular, cloud-native components that can be deployed incrementally and validated early.
We prioritize:
- Clear milestones over open-ended experimentation
- Production readiness over proofs-of-concept
- Measurable outcomes over abstract capability
Clients retain full visibility into architecture, data flows, and operational considerations throughout delivery. Solutions are built to be owned, operated, and extended—by your team or ours—long after initial deployment.
Echosaw
Echosaw is Orange Sky’s media intelligence system designed to extract structured insight from audio, video, images, and other file types, at scale. Built for environments where media volume exceeds human review capacity, Echosaw transforms raw recordings into decision-ready intelligence without manual intervention using multimodal fusion.
Unlike general-purpose AI tools, Echosaw is engineered as an end-to-end, multimodal AI system. Secure ingestion, automated analysis, and multi-stage reduction pipelines convert unstructured media into auditable outputs such as entities, sentiment, key events, and narrative findings. The platform is designed to operate under real-world constraints—cost, latency, security, and accountability—rather than laboratory conditions.
Developed and operated in-house, Echosaw serves both as a standalone intelligence product and as a core component of Orange Sky’s broader AI infrastructure. Its architecture supports enterprise workflows, licensed deployments, and agent-driven extensions, establishing a durable foundation for scalable media intelligence across industries.
Xojurn
Xojurn is Orange Sky’s proprietary social platform built for scalable content creation, live interaction, and real-time intelligence. It supports video, audio, events, and community engagement on a secure, cloud-native architecture engineered for durability, scale, and operational efficiency.
Xojurn’s differentiation is its intelligence-first design. Content is not treated as media alone, but as structured data. Integrated analysis, search, and moderation transform raw activity into actionable signals—powering discovery, analytics, monetization, and agent-driven workflows that extend well beyond traditional social platforms.
Developed and operated in-house, Xojurn functions both as a growth product and as core infrastructure for Orange Sky’s AI and agent-based systems. This dual role creates a durable technology moat, accelerates product iteration, and establishes a clear path to platform expansion and licensed intelligence offerings. Xojurn public launch is on September 1, 2026.