Cloud (AWS · GCP · Azure)
Migrate, modernize and optimize for cost and resilience.
- Landing zones & IAM
- Kubernetes & serverless
- Cost governance & FinOps
From architecture to on-call, we build reliable systems that let you ship faster and sleep better.
Our team has worked with leading AI companies, creating high-quality training datasets for fine-tuning large language models.
Prism Venture ships reliable software at speed.
Migrate, modernize and optimize for cost and resilience.
Pipelines, observability, autoscaling and 24/7 reliability practices.
Schema design, performance tuning, HA/DR and data governance.
Synthetic data pipelines, labeling workflows and model evaluation harnesses.
Secure, offline-capable POS with real-time inventory and analytics.
From monoliths to microservices, with strong contracts and SLAs.
Full-stack web apps with modern frameworks and responsive design.
Native and cross-platform mobile apps for iOS and Android.
RESTful APIs, GraphQL and seamless third-party integrations.
Tailored solutions for unique business needs and workflows.
Cross-platform desktop software for Windows, Mac and Linux.
Smart device solutions with edge computing and real-time data processing.
We focus on outcomes. Here's what we've delivered for clients.
"Our team spends more time fixing deployments than building features."
Canary deployments, automated rollbacks and comprehensive test suites, with metrics that matter.
"Our teams can't access the data they need without engineering support."
Data meshes with proper access controls, documentation and tooling that empower teams without compromising security.
"Our system can't handle peak loads without manual intervention."
Horizontal scaling patterns, load-testing regimens and cost-optimized architectures that grow with your business.
Offline-capable POS for 500+ stores with real-time sync when online.
HIPAA-compliant data lake for 2M+ patient records with real-time analytics.
Scalable data generation and training system for computer vision models.
Built by our team.
Automatic trading software using machine learning and reinforcement learning for stock market analysis.
View project →Web scraping toolkit for extracting and processing news articles from multiple online sources.
View project →AI-powered platform making advanced machine learning accessible and affordable for businesses.
Visit site →Restaurant management and ordering system with real-time inventory tracking and analytics.
View project →Social media data extraction tool for TikTok content analysis and trend monitoring.
View project →Our team has partnered with leading AI companies to create high-quality training datasets for fine-tuning large language models and machine learning systems.
We select tools based on performance, maintainability and community support, not just trends. Our engineers are certified across major cloud platforms and contribute to open source.
Typical projects go from kickoff to production in 8–12 weeks. You receive architecture diagrams, deployment runbooks and full documentation as standard deliverables.
Requirements gathering and technical feasibility
Architecture diagrams and implementation plan
Iterative development with weekly demos
Deploy, monitor and support in production
Continuous improvement and cost optimization
“Prism cut our deployment time from hours to minutes. Their DevOps transformation gave our team back 20 hours a week.”
“They migrated our entire infrastructure to AWS with zero downtime. We saved 40% on cloud costs in the first quarter.”
“The POS system they built handles our Black Friday traffic without breaking a sweat. Real engineering, real results.”
We're building a team of engineers who care about craft, outcomes and continuous learning. Remote-first, competitive compensation, and real technical challenges.
Build and maintain CI/CD pipelines, observability stacks and cloud infrastructure for enterprise clients.
Apply now →Design and implement data pipelines, APIs and analytics interfaces for AI/ML workloads.
Apply now →We'll get back to you within 24 hours with a technical proposal.