Take control of your AI.
AI PowerShift is a structured engagement with OpenTeams’ forward-deployed engineers who work inside your organization to move from AI strategy to running AI in production.
We start by understanding where you are: your current capabilities, the data you have, the infrastructure you run on, and where AI can actually create measurable value. Then our engineers work alongside your team to build and deploy what you need, in your environment, using the tools and infrastructure you already have.
Assess.
A collaborative look at your data, infrastructure, workflows, organizational readiness, and the opportunities that matter most to your business.
Capture.
We identify and organize the knowledge, relationships, and business context that generic AI can't see. This is the difference between AI that sounds impressive and AI that works for you.
Build And Deploy.
Alongside your team, not instead of it. Our engineers bring the technical depth to move from strategy to architecture to running systems. You get AI in production and the capability to operate it.
Support.
After deployment, we work with your team as your AI scales across the organization. No handoff. No platform lock-in. No surprise dependency on us.
We built an upstream-first remediation program: prioritized the package inventory, created tracked workflows for every vulnerability, automated vulnerability enrichment, and contributed fixes back to upstream projects. Sprint cadence, monthly reporting, and a live project board made progress and blockers auditable.
This project directly supports the software ecosystem at the core of the banks’ existing Intelligence Hub, which provides decision support for their Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth and Investment Management businesses.
Supply-chain security for regulated enterprises: turning sprawling dependency estates into prioritized, auditable remediation programs while strengthening the upstream ecosystems those enterprises depend on.
A federal agency needed a secure, vendor-neutral way to evaluate AI systems from multiple providers before approving them for production, without relying on any vendor’s infrastructure.
We built a sovereign platform that lets the agency test and evaluate third-party AI models on any cloud, at any scale, entirely under their own control.
This project builds specialized decision-support capability (intelligence) for field operations. Nebari is the Intelligence Hub infrastructure enabling distribution and access of critical decision-support functionality.
Ownership & sovereignty: the agency controls the testing ground for AI, not the vendors selling into it.
A defense-sector consultancy wanted to adopt AI across the organization but lacked a shared understanding of where it would deliver value or how to implement it consistently.
We ran a day-long working session with about 15 of their leaders and analysts, mapping their existing business processes end to end. Then, process by process, we showed where AI could realistically help and how a shared context layer would keep the organization aligned as they moved forward.
This is an early-stage PowerShift engagement. We introduced the client to context management, helped them map out a Standard Operating Procedure, identify where the data comes from and who owns it, and build a Frame documenting all of this. The client’s reference intelligence hub comprises this Frame, their preferred AI, and the data connectors necessary to access their data.
Simplification & alignment: we turn AI ambiguity into one clear, shared plan.
A strategic intelligence company needed to launch an AI-powered event-management application for SXSW, but had only a matter of weeks to design, build, and deploy it.
We scoped, built, and shipped a working AI event-management application from first contact to launch in roughly two to three weeks, ready for the show floor.
The AI-driven workflow scraped data, cleaned it, and made it available via interactive data portal, providing event intelligence.
Speed to market: we take an idea to a working product in weeks, not quarters.
We don't just work around AI infrastructure, we maintain the open-source projects your AI depends on: NumPy, SciPy, JAX, PyTorch, scikit-learn, Dask, Pandas, and Jupyter. That expertise comes with you into the engagement.
The team that helps you identify what to automate can build it with you. No handoff to a different vendor.
We don't have a model, cloud, or platform to sell you. We work with the tools that make sense for your business and help you stay flexible as tools evolve.
Your unique business intelligence stays yours. Not rented from a vendor, not locked into a platform. Delivered by the engineers who help build and maintain the open-source foundations modern AI runs on.
Companies come to us from different places. Some know they need AI but don’t know where to begin. Others have pilots that aren’t making it into production. Others know exactly what they want to build but lack the infrastructure, data, or context to make it work.
PowerShift plugs in where you need it most.
Understand where AI can create value for your organization and what needs to change to get there. We’ll assess your existing capabilities, infrastructure, data, workflows, and organizational readiness, then turn what we learn into a focused plan.
Build and deploy AI where your business already runs. We work with your existing infrastructure, security requirements, systems, and preferred models. No forced migration and not lock-in.
Make your organization's knowledge usable by AI. We organize the relationships between your data, decisions, processes, and institutional knowledge so AI can work with the context that makes your business yours.
Your models. Your infrastructure. Your data. Your context.
Delivered by the engineers who build and maintain the open-source foundations modern AI runs on, not a vendor renting you access to theirs.
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