Build AI with people who run AI products.
Bandpey builds and operates AI SaaS and platforms. We bring that experience to your business, from the first product decision to secure releases, reliable operation and the next version. You work directly with the engineers who build the system and keep it running.
Put product experience behind your AI.
Move work through faster
Connect the steps between an incoming request and a completed task. Agents gather information, prepare actions, and update systems, with approval at the points you define.
Make expertise available
Bring company knowledge into the work itself. Give teams relevant answers, supporting sources, and clear next steps using the information they are allowed to access.
Build capacity into your software
Add agentic capabilities to the tools your business depends on. We develop the applications, integrations, and interfaces that make AI useful in everyday operations.
Your users need a system they can rely on. We connect AI to your data and workflows, engineer the application around it, and plan how your team will release, support and improve it. We assess decisions against user value, reliability and operating cost.
Work with the engineers responsible for the product.
The people shaping your system also build it and work through production issues with your team. Our own product work keeps us close to release decisions, user feedback, support and cost. We bring that experience into your environment and agree who owns each part of the operation.
Direct access to the delivery team
Working software in your environment
Practical support for rollout and adoption
Facthory puts our product engineering to work.
With Facthory, we are building an operational intelligence product that connects enterprise knowledge, a living model of the business and agents working with evidence and human oversight. Our product work informs the decisions we make with your team about architecture, integration and operation.
Plan for the life of the product.
Start with a valuable problem and a clear owner. Build a useful release, put it into operation, and use evidence from real usage to decide what comes next. We account for reliability, adoption and operating cost throughout.
Define
Find the work worth changing.
We work with the process owner to identify the bottleneck, establish today’s performance, and decide what improvement would justify the investment.
Map the workflow and its owner
Baseline time, cost, and quality
Agree the success criteria
Own the engineering beneath the experience.
We work across the application, data and infrastructure layers because production issues cross those boundaries. Your product decisions need to account for model behaviour, access controls, deployment, capacity and the cost of serving users.
Agents and applications
Custom software, agent orchestration, and system integrations built around the work your business needs to complete.
Data and context
The data pipelines, retrieval systems, and access controls that give agents the information they need to act.
GPUs and infrastructure
Hands-on engineering across GPU infrastructure, model serving, and bare-metal environments, with attention to performance, capacity, and operating cost.
Before we build.
Straight answers about working with Bandpey.
We build and operate AI SaaS and platforms ourselves. Product decisions, software releases, production support and operating costs are part of our work. You get that experience and direct access to the engineers responsible for your delivery.
With a recurring workflow that has a clear owner, a measurable bottleneck, and accessible systems. We assess the opportunity and agree what success looks like before committing to the build.
We establish a baseline and compare it with results after deployment. Depending on the workflow, that can include handling time, throughput, error rates, or cost per completed task. We include implementation and operating costs, and distinguish time saved from savings actually realized.