We deliver on time, on budget, and built to work on day one. Whether you're building custom software, deploying AI, modernizing your data platform, or maintaining what's already running — the process is the same. Clear, proven, and built around you.
At Xorbix, we've been delivering software solutions for over 25 years. We've navigated every technology evolution — enterprise systems, mobile, cloud, AI — and each one has made us sharper.
Our deep-rooted expertise means we know how to turn innovation into real results. With our proven delivery model, your project isn't just promising — it's predictable, clear, and impactful from day one.
Every project is shaped to fit your goals, your systems, and your team. No one-size-fits-all.
You'll always know what's happening, who's doing it, and when it'll be done.
Senior developers, engineers, and data scientists who show up and get it done right.
We're here beyond launch to help you optimize, scale, and evolve as your business grows.
Most agencies hand off a rotating cast of developers. We assign a dedicated pod to your project — a stable, cross-functional team that knows your codebase, your goals, and your definition of done.
Your pod is assigned to your project. The same developers who start it finish it. No context-switching, no handing off to someone who wasn't there from day one.
Every engagement follows the same intake, sprint cadence, and health monitoring process. You'll always know where your project stands and what's coming next.
Our Flex Pod gives every project access to senior architects and leads who enforce quality standards, review critical decisions, and step in when complexity demands it.
We track hours against every contracted scope in real time. At 10% of budget remaining, we proactively reach out — so you're always in control of the conversation.
When your build is done, our Managed Services pod takes over — the same culture, the same quality standards, and a team that already knows your product.
We've built hundreds of applications across manufacturing, healthcare, insurance, and financial services. That institutional knowledge comes with every new engagement.
Every Xorbix project runs on a pod — a small, self-contained team with both a technical track and a delivery track. You get a single point of contact, full cross-functional capability, and no gap between the people building and the people managing.
We deliberately designed pods to address two problems every client has experienced elsewhere: developers who don't communicate and project managers who can't answer technical questions.
Your pod has both. A Technical Lead who owns architecture, code quality, and the dev team. A Lead PM who owns your relationship, the board, the sprint, and the status update you actually want to read.
They work together inside the pod every sprint. You get the output of both without managing the gap between them.
Stable, cross-functional team executing your project. Owns backlog, architecture, sprint execution, and client engagement from kickoff through launch. Additional Delivery Pods scale as needed.
Handles support, enhancements, and SLA-driven work after launch. Your software keeps running, improving, and evolving without you having to manage it.
We continuously invest in reusable accelerators, pre-built frameworks, and Databricks-ready components. When we deploy these on your project, you get faster delivery and lower cost — without sacrificing quality.
A dedicated team of certified Databricks engineers and data specialists. These are not generalist developers — they live in data pipelines, lakehouses, and ML workflows. Deployed on data-heavy engagements where deep platform expertise matters.
Senior Technical Leads and Lead PMs who float across all pods. Deployed on high-priority, complex, or at-risk work. They enforce engineering standards, support project transitions, and make sure nothing falls through the cracks.
Our delivery model spans all five service lines. The phases, team structure, and communication cadence stay consistent — the domain expertise changes to match your needs.
Fixed-scope SOW engagements for new builds, modernizations, and product development. Your dedicated Delivery Pod owns the work from architecture through launch.
End-to-end Databricks implementations including Lakehouse architecture, Delta Lake, and MLflow. Delivered by certified Databricks professionals.
From a 4-week proof of concept to full-scale AI implementation. LLM integrations, custom models, computer vision, NLP, and enterprise AI platforms.
SLA-backed support, enhancement roadmaps, and proactive monitoring. The same team that built it keeps it running — with the same standards and transparency.
Skilled professionals embedded in your team within weeks, not months. From individual specialists to full teams, flexible to how you work.
Our agile model moves through six phases. Each has clear outputs, clear owners, and a clear handoff to the next. No black boxes, no guessing.
We align on what the project needs to deliver. We assess data readiness, define requirements, select the right technology stack, and set clear success metrics. Requirements become actionable specifications before any build begins.
We translate requirements into a clear technical and UX plan. System architecture, data pipelines, integration points, and UI/UX design — so developers know exactly what to build and users know how it will feel.
We build, connect, and test. You review working features each sprint and stay hands-on throughout. Sprint demos every two weeks mean you never wait months to see real progress.
Our QA team runs thorough manual and automated testing to ensure reliability, security, and performance. For AI projects, we specifically test against hallucinations and output quality. Nothing moves to deployment without passing QA.
We finalize for live use with a pre-launch review, production pipeline validation, and post-launch monitoring. We stay engaged through stabilization to make sure launch day is smooth.
Post-launch, we offer continuous monitoring, maintenance, and enhancement aligned with your evolving business needs, user feedback, and technology advancements.
From first conversation to first sprint in five steps. Refined across 500+ projects to make the start as clear as the finish.
A quick intro call to talk through what you're trying to accomplish. We'll share ideas and outline a path forward.
We meet with your team, define requirements, assess your data, and draft a clear estimate and SOW.
Your full pod assembled: Technical Lead, Lead PM, developers, BAs, QA — all aligned on what we're building and how.
2-week sprints with demos and UAT. You see real progress and stay hands-on throughout the build.
We finalize deployment, support go-live, and prepare for what comes next — scaling, iterating, or maintaining.
We've spent 25 years learning what clients actually need from a delivery partner. Here's what you can count on from day one.
Your Lead PM owns the relationship. You'll never wonder who to call or wait days for an answer.
You see working software every two weeks. If something isn't right, we catch it early — before it compounds.
You always know how many hours remain. Our 10% alert means no blindsides at the worst possible moment.
QA is a first-class part of every sprint. Code reviews, automated testing, and staging validation are standard.
That's not a tagline. It's how we've kept clients for 10, 15, even 20 years. When we say on time and on budget, we mean it — and we back it up.
Platform-independent by design. We recommend the right technology for your problem and build with tools that give you maximum flexibility over time.
Microsoft's enterprise cloud for AI, development, and data.
Azure ML, Data Factory, Synapse, Azure OpenAI, DevOps pipelines, and App Services.
Amazon's cloud ecosystem for scalable, high-performance applications.
SageMaker, Lambda, Redshift, and S3 for ML, serverless, and analytics workloads.
AI-native cloud with strong ML and analytics support.
Vertex AI for ML lifecycle, BigQuery for analytics, RAG workflows, and semantic search.
Industry-leading LLMs for language understanding and automation.
GPT-powered chatbots, workflow automation, summarization, enterprise AI with private networking.
GPU-accelerated compute for high-performance model training.
Deep learning on GPU clusters, NVIDIA AI Enterprise, cloud and on-prem deployment.
Foundation tools for building and deploying AI and ML models.
TensorFlow, PyTorch, Scikit-learn, Hugging Face — NLP to computer vision to forecasting.
Unified analytics platform for data engineering, ML, and governance.
Data transformation, MLflow model versioning, Lakehouse architecture, Delta Lake.
ACID transactions and versioning for reliable data lake workflows.
Versioned data lakes, consistent ETL, high-quality data for repeatable analytics.
Full ML lifecycle from experiment tracking through production deployment.
Track experiments, compare models, manage reproducibility, deploy to pipelines.
Centralized governance for all data and AI assets.
Secure data discovery, permission controls, compliance, and cross-team access management.
Real-time stream processing for continuous data workflows.
End-to-end streaming pipelines, live dashboards, and real-time ML scoring.
Enterprise-grade development for web, API, and desktop apps.
Backend APIs, enterprise integrations, Windows apps, and cloud-native services on Azure.
Modern frameworks for web and cross-platform mobile applications.
Responsive web UIs, iOS and Android apps from a single codebase, enterprise portals.
Scalable server-side applications and real-time APIs.
Backend services, real-time features, microservices, REST and GraphQL APIs.
Interactive dashboards and data visualization for business users.
Connected to Azure, Databricks, and SQL sources for real-time operational reporting.
Google's cross-platform framework for building natively compiled mobile and web apps.
iOS and Android apps from a single Dart codebase, with native performance and smooth UX.
Google's enterprise-grade TypeScript framework for large-scale web applications.
Complex enterprise portals, single-page apps, and data-driven dashboards with strong structure.
End-to-end project tracking, CI/CD, and deployment pipelines.
Boards, repos, sprint tracking, pipelines, and test plans for every project we deliver.
Download our NDA so we can get into the details, share ideas freely, and start shaping a solution that fits your specific situation and goals.
Tell us what you're trying to solve. No pitch — just a real conversation about your goals and what it takes to get there.
