Software Depo builds AI agents and MCP integrations for organizations across the United States and internationally – fully remote by default, with secure onboarding for private and hybrid AI deployments where data cannot leave your environment.
How Remote Delivery Works
Projects run on a clear cadence: a shared plan, milestone demos, and written status you can forward to anyone. All work lives in source control with documented setup, so you own the code and the knowledge – not just the deliverable. Private-deployment projects include a security onboarding step: access model, data boundaries, and approval workflows are agreed before any system access.
Secure Collaboration
Access is scoped per project: least-privilege credentials, agreed data-handling rules, and communication over the channels your organization approves. We work in your systems where policy requires it.
Time Zones and Communication
We overlap working hours with your team for standups and reviews, and keep decisions in writing so progress never blocks on a meeting. Communication cadence – daily, twice-weekly, or milestone-based – is agreed at kickoff and kept.
Onsite Options
Onsite workshops for discovery, governance planning, and rollout training are available where teams prefer to work through agent design in the room.
International Engagements
International clients are onboarded with clear contracting: jurisdiction, invoicing currency, IP assignment, and data-protection terms agreed up front. Support-hour arrangements are set to your business day.
Tell us where your team works and what the project needs – we will propose a delivery model that fits.
How This Work Is Delivered
The plain answer first, since the URL promises one. Work is delivered remotely by default and hybrid where a project calls for it. Onsite attendance is arranged project by project, scoped and quoted as its own step, not assumed. Clients are in the United States and internationally, and cross-border engagements are handled through the contract terms described at the end of this page.
Beyond that, geography is rarely the binding constraint on an agent or MCP project. Data residency is. Access approval is. Whose environment the code runs against is. A map of offices would tell you very little about whether a project can proceed; the access model and the data boundaries tell you most of it.
Physical presence still matters in specific cases: hardware for on-premise inference, a facility where outside network access is restricted, or a policy requiring supervised access to a system. Those get planned as their own step, with their own lead time, and agreed before anyone books travel.
Where Your Data Lives and Where the Model Runs
Three questions come apart easily: where source documents are stored, where the retrieval index sits, and where inference happens. They can end up in different jurisdictions without anyone consciously deciding they should.
If a residency requirement applies to you, the inference endpoint region is the easiest of the three to overlook. Retention terms deserve equal attention. Whether prompts and outputs are stored, for how long, and whether they can be used to improve a vendor’s models are contractual questions with different answers on different platforms, which is part of why platform selection and compliance review belong in the same conversation.
Access, Credentials, and Getting Out Cleanly
What we ask for at kickoff is access scoped per project and per person: named accounts, least privilege, time bounds where the systems support them, and no shared logins. Not every environment can offer all of that. Where a shared service account is the only thing a system supports, it gets written down as a known exception with a review date, not quietly accepted.
If your policy requires the work to happen inside your environment, raise it during scoping. Whether that is workable depends on what your environment allows in the way of tooling and licensing, and that is a question to settle before a contract, not after one.
Agree offboarding at kickoff, because it is the step everyone intends to handle later. Write down what happens at the end: which credentials get revoked, which tokens rotate, which copies of data are deleted, and who confirms each of those. A project that cannot describe its own exit is harder to get approved internally, and it should be.
Which Steps Justify Travel
A few situations do. Discovery for a process that lives in people’s heads and has never been written down, where watching the work beats interviewing about it. Governance sessions where security, legal, and the operational owner need to settle approval rules together in one room. Training for the people who will sit in the human approval loop, since that role fails quietly when nobody explains what they are supposed to be checking for.
Outside those cases, insisting on travel adds scheduling drag to a project that was otherwise ready to start. Where a visit is the right call, it is quoted alongside the rest of the work. There is no standing travel radius and no assumption that a visit is included.
Handover, So the Work Survives Us
Work product lands in source control you own: code, prompts, tool schemas, evaluation sets, and the setup instructions needed to run it. Third-party and licensed components stay under their own terms, and anything we bring that predates your project is named in the contract along with the license you get it under, so nothing about what transfers is left to interpretation.
Alongside the code go runbooks for the operational parts and the reasoning behind design decisions, which is the piece easiest to lose. The aim is that a competent engineer on your team can take it over, change it, and understand why it was built the way it was.
What Slows a Distributed Project Down
Working hours and a written decision record get agreed at kickoff. The thing more likely to decide your schedule is approval latency inside your own organization: a security review nobody has booked, a data-access grant with no owner, a decision-maker who was never formally named. Name the approvers before the first sprint and you remove a class of delay that no amount of calendar overlap will touch.
Work outside the United States adds contract questions more than technical ones: jurisdiction, invoicing currency, how intellectual property is assigned, and which data-protection obligations apply. Those are negotiated per engagement, not published defaults, and they are settled before work starts. Support arrangements after handover, if you want them, are a separate agreement with hours written into it.