AI agents and products for US teams.

AppVerse has no US office. Our studio is in Gurugram, India, which is 9.5 to 10.5 hours ahead of US Eastern time depending on daylight saving. Instead of leaving you with an overnight handoff, we fix a daily overlap window inside your Eastern or Central working hours at kickoff, so calls, reviews and decisions happen in your day.

Because our day starts while you are offline, you can begin your morning with progress to review and use the overlap window for questions and decisions. Proposals, contracts and invoices are in US dollars, and every engagement is priced in writing before it starts. If your team is on Mountain or Pacific time, we agree a workable window on the scoping call.

• Daily overlap with US Eastern and Central working hours
• Proposals and invoices in USD
• NDA signed before you share anything sensitive
• A reply within one business day

Most US engagements start with one workflow where people spend hours on repeatable work: qualifying inbound leads, triaging support tickets, processing documents, updating the CRM or answering the same internal questions. We build AI agents that do that work across the tools you already use, such as Salesforce, HubSpot, Zoho, your help desk and your own databases, with every step logged.

Agents act with limits. Each tool gets the minimum permissions it needs, and anything that moves money, changes key records or contacts a customer can wait for human approval. You can trace every step and model call, so when an agent does something unexpected, your team can see exactly why and fix it.

For product companies, AI is often a feature your customers will pay for: a copilot inside your SaaS, a search experience that answers questions, or a writing or analysis tool built on your own data. We design and build those features end to end, from retrieval and prompts to the interface, billing hooks and usage limits.

We have done this in our own products. M361 Writing Studio turns briefs into drafts in a brand's voice and shows the AI cost of every article, and iSales includes a role-aware AI copilot inside a sales CRM. Both are in production, and the lessons on evaluation, cost and reliability carry straight into client work.

• Copilots and assistants inside your existing product
• Retrieval over your documents, tickets and data, with sources
• Model benchmarking on your own use case
• Usage limits and cost tracking per customer

The usual worries with an offshore AI development team are communication, security and ownership, so we settle each one up front. The same senior engineers stay with you from scoping to support, with no handoff between a sales team and a delivery team, and you see working software at a demo every week.

Code lives in your repositories and systems run in your cloud account, in the US region you choose, with access controls and audit trails. If you handle regulated data, we design around the requirements your security and legal teams set, built to support your SOC 2 or HIPAA audits. You own all the code and IP.

We don't publish prices, because cost depends on the workflows, integrations, data readiness and how much evaluation the use case needs. There are three ways to engage: a fixed-price AI Pilot that proves one workflow on your real data, a Product Build with a fixed price per milestone, or a dedicated AI pod on a monthly retainer.

Model usage and cloud hosting are separate from the build and depend on your volume. We estimate them during scoping, then keep them in check after launch with model routing, caching and budgets you can see. Hosting runs in your own account, so you see those costs directly.