--- title: "AI Development Company for US Businesses" section: "Locations" canonical_url: "https://leverge.ai/locations/ai-development-company-in-usa" topic: "AI development company for US businesses" published: "2026-05-08" updated: "2026-08-01" publisher: "Ailoitte Technologies Private Limited" --- # AI Development Company for US Businesses US companies work with Leverge through a US contracting entity, with delivery led by the senior engineering team in Bengaluru and a fixed daily overlap with US business hours. Architecture is designed for US compliance review from the start — SOC 2 controls, HIPAA business associate arrangements where protected health information is involved, state privacy law obligations, and processing kept inside your own cloud region and account wherever the use case allows. ## Key takeaways - Contracting, invoicing and on-site work run through a US entity, so procurement deals with a domestic counterparty. - Processing stays inside your own cloud account and region wherever the architecture allows, which resolves most residency questions before they are asked. - SOC 2 control expectations and HIPAA arrangements are designed in during scoping rather than addressed at security review. - A fixed daily overlap with your business hours is agreed at kickoff, with written async updates covering the remainder. - The commercial argument is a senior team at a cost that would otherwise buy a junior one, not the lowest available rate. ## The structure that removes offshore friction Most objections to offshore AI delivery are not about engineering quality. They are procurement objections: who is the counterparty, under whose law, where does the data go, who signs the business associate agreement, who appears at the security review. Contracting through a US entity answers all of those with a domestic answer, while delivery is led by the senior team that actually builds the system. Your legal and finance functions deal with a US company. Your security team gets someone in the room. ## Your cloud account is the answer to most residency questions The cleanest way to resolve data residency is not a policy document — it is an architecture where the data never leaves. Deployment goes into your AWS, Azure or GCP account. Retrieval indexes, embeddings and logs live in storage you control. Model inference runs through your own tenancy on Bedrock, Azure OpenAI or Vertex with zero retention configured, so customer data does not leave your region or reach a vendor you have no agreement with. Where a use case cannot tolerate any external inference at all, an open-weight model on your own infrastructure is the fallback. We quantify the accuracy trade-off before you commit to it, because it is usually real and occasionally acceptable. ## Compliance as a design input The pattern we see most often in remediation work: a team builds the system, takes it to security review at the end, and is sent back because logging, access scoping or retention was never designed. SOC 2 control expectations and HIPAA obligations are cheap to build in and expensive to retrofit. We establish which apply in week one and produce the evidence — access control design, change history, audit logs, evaluation results — as build artefacts rather than as a documentation exercise before an audit. ## Frequently asked questions ### Can we contract with a US entity? Yes. Contracting, invoicing and on-site presence run through our US entity under your preferred governing law, while delivery is led by the senior team in India. Your legal, procurement and finance functions work with a domestic counterparty, which removes most of the friction that otherwise slows an offshore engagement through review. ### Where will our data be processed? Inside your own cloud account and region wherever the architecture allows, which is the majority of cases. Retrieval indexes, embeddings and logs live in storage you control. For model inference we default to a provider accessed through your own cloud tenancy — Bedrock, Azure OpenAI or Vertex — with zero data retention, so no customer data leaves your region. Where a use case genuinely cannot tolerate any external processing, we deploy an open-weight model on your infrastructure and quantify the accuracy trade-off first. ### How do you handle SOC 2 and HIPAA requirements? As design inputs rather than as a review gate. For SOC 2 that means access control, change management, logging and evidence collection built into the system as it is constructed. For HIPAA it means a business associate agreement in place, protected health information kept in infrastructure covered by your existing agreements, record-level access logging, and a human decision-maker on anything clinical. Establishing these in week one is straightforward; discovering them at review is usually a rebuild. ### Will your team overlap with our working hours? Yes, and the window is fixed at kickoff rather than negotiated weekly. For Eastern time clients the overlap runs through your afternoon; for Pacific time we shift later in the Indian day. Live decisions and standups happen inside it, and everything else runs on written async updates with a named escalation path and a defined response time outside the window. ### Do you work on site? For kickoff, security review, architecture workshops and stakeholder sessions, yes — travel is arranged through the US entity. Ongoing delivery is remote, which is what keeps the cost structure worth having in the first place. --- Source: https://leverge.ai/locations/ai-development-company-in-usa — Leverge