Hiring an AI software development company in the USA? Custom AI you own, built on US hours
Vrisic builds custom AI software for American businesses and adds AI to the systems you already run. One fixed price in US dollars, the code and data stay in your own cloud account, and our remote team in India works your mornings.
What does an AI software development company in the USA market do for you?
An AI software development company designs, builds and runs software where AI does real work: reading documents, answering customers, routing cases, drafting reports and updating your systems. Vrisic does this for US businesses in two ways. We build new custom AI software around your process, or we add AI to the ERP, CRM and in house tools you already run. You pay one fixed price in US dollars, own the code and data, and run it in your own cloud. Our team is remote, based in India, with daily Eastern time overlap.
| Who we serve | Small, mid sized and enterprise companies across the United States |
|---|---|
| Where we work | Remote team in India; no US office |
| Overlap | About 8 am to 12 pm Eastern; early Pacific mornings |
| Typical budget | $25,000 to $150,000; single workflows from $5,000 |
| Hosting | Your AWS, Azure or Google Cloud account in US regions |
| Rules we design for | HIPAA, CCPA/CPRA, state privacy laws, NIST AI RMF |
| Ownership | You own the code, prompts, data and documentation |
An AI software development company for US businesses, explained
- 1A free call in your time zone
- 2A fixed price in USD, in writing
- 3Weekly demos during your morning
- 4Launch in a US cloud region you own
Read the video transcript
An AI software development company for US businesses. Custom AI you own, priced in US dollars, built in your mornings. Here is the problem. SaaS fees grow every year. Local agencies quote long timelines. And HIPAA and state privacy laws to respect. Here is how it works. First, a free call in your time zone. Second, a fixed price in USD, in writing. Third, weekly demos during your morning. And finally, launch in a US cloud region you own. What do you get? US contracts and payment in USD. Code and data stay in your account. Remote team in India, no US office. Pilot or MVP $25,000 to $60,000. The easiest way to start is a $1,500 AI Pilot on your own data. You see a working version in ten business days, and the fee is credited to the full build. Book a free call, or message us on WhatsApp, at vrisic.com.
Why US companies hire a custom AI development company instead of adding more SaaS
Most US businesses do not need another subscription. They need the work that eats their week to stop needing people.
A typical mid sized US company already pays for a CRM, an ERP, a help desk and a dozen smaller tools, each with its own AI add on priced per seat. The slow, costly work lives in the gaps between them: someone copies data from a PDF into NetSuite, checks it against an email, then updates Salesforce. That is the work a custom AI development company is hired to remove.
We solve it in one of two ways. We build new software around how your team works, covered on our custom AI software development page. Or we upgrade what you have, connecting AI to the systems you already run through our AI integration services; for old desktop or on premise systems, legacy modernization with AI rebuilds them step by step.
You pay a one time, fixed price, with no per seat licence fee. The system runs in your own cloud account, the code sits in your GitHub organization, and when privacy demands it we run open source models inside your environment so data never leaves it. Running costs still exist: hosting, model usage at cost and optional support from $1,500 per month.
The honest part. Vrisic has no US office. We are a remote team based in India, working a schedule that overlaps with US Eastern mornings. In exchange you get senior engineering at a fixed price, work that continues overnight, and written updates waiting when you start the day.
What our AI software development company builds for US businesses
Grouped by business problem. Most clients start with one and add the next once it pays for itself.
- 01
Back office work that runs on its own
Invoices, claims and onboarding packets arrive as PDFs and emails. We build systems that read them, check fields against your rules and post the result to QuickBooks, NetSuite or your own database. People review exceptions only, using AI workflow automation with approvals built in.
Best for: Finance and operations teams buried in paperwork
- Document extraction with validation rules
- Approval steps for anything that moves money
- Full audit trail per record
- 02
AI added to the CRM or ERP you already pay for
Your team keeps Salesforce, HubSpot, Dynamics 365 or an in house system, and AI does the tedious parts inside it: account summaries before calls, follow up drafts, lead scores and fields updated from emails. We work through official APIs, so vendor upgrades do not break it.
Best for: Sales and service teams
- No change of platform or retraining
- Works through official APIs
- Permissions follow your existing roles
- 03
Private AI search over company knowledge
An assistant that answers staff questions from your contracts, SOPs and policies, linking the source paragraph. Permissions follow your SharePoint or Google Drive access, so a sales rep never sees HR files. Built with our enterprise RAG and AI search method in your US cloud region.
Best for: Firms whose know how sits with a few senior people
- Answers cite their sources
- Permission aware retrieval
- Open source model option inside your network
- 04
Client portals and AI native products
A portal where clients upload documents and get answers about their own case, or a SaaS product where AI is the reason people pay. We handle sign in, roles, Stripe billing, tenant isolation and the AI features, and you own the product outright.
Best for: Service firms and founders
- Single sign on and role based access
- Tenant isolation from the first sprint
- Usage and cost tracking per customer
- 05
Agents that handle customers across channels
Agents that answer chat, email, text and phone, book appointments and hand off to a person with a summary. They are one component of a wider system and act only through tools you approve. See our AI agent development and voice AI development pages for detail.
Best for: Businesses losing leads after hours or on hold
- Books into your calendar or scheduling system
- Escalation rules you write
- Transcripts stored in your account
- 06
Modernizing the old system everything depends on
Many American companies still run on an old desktop app, an Access database or a .NET monolith nobody wants to touch. We replace it module by module, using AI assisted code analysis to map what it does, while daily work carries on.
Best for: Software only one person understands
- Module by module replacement
- Data migration with reconciliation tests
- No big bang cutover
Custom AI for US industries, from New York law firms to Austin home services
Where custom AI tends to earn its cost fastest for US companies.
Healthcare and dental groups
Patient intake, eligibility checks and call handling built around your EHR, with BAAs in place and data kept in your US cloud.
Fewer missed calls and denied claims
Read moreLaw firms
Intake triage, document review queues and private search over precedent for firms in New York, Chicago and beyond that cannot let client files leave their control.
More billable hours, less admin
Read moreReal estate and property management
Lead qualification, tenant requests and lease abstraction for brokerages and managers in markets like Miami and Austin, where speed to lead decides deals.
Faster response to every lead
Read moreEcommerce and DTC brands
Order and returns agents, catalog enrichment and support triage connected to Shopify, your ERP and your help desk.
Lower support cost per order
Read moreHome services
Call answering, booking into ServiceTitan or Jobber and quote follow up for HVAC, plumbing and roofing companies.
Booked jobs from missed calls
Read moreFinancial services and insurance
Document intake for loans and claims, underwriting summaries and client portals, with audit logs and human approval on decisions that affect a customer. Chicago and New York firms often start here.
Shorter cycle times with a paper trail
B2B software companies
AI features inside an existing SaaS product, and new AI native products for founders in San Francisco and Austin.
Features customers pay more for
US privacy and AI rules we build around
There is no single federal AI law in the United States; the rules come from sector laws, state privacy acts and regulators. Your counsel makes the final call.
HIPAA and Business Associate Agreements
Any vendor that handles protected health information for you is a business associate and needs a BAA, per HHS guidance. We sign one and use only BAA covered cloud and model services. A proposed Security Rule update from January 2025 is still pending.
CCPA/CPRA in California
California’s privacy law gives residents rights to know, delete, correct and opt out. New CPPA regulations took effect January 1, 2026, with risk assessments applying now and rules on automated decision making technology from January 1, 2027.
Texas, Colorado and other states
The Texas Data Privacy and Security Act has applied since July 1, 2024, and the Texas Responsible AI Governance Act (HB 149) since January 1, 2026. Colorado replaced its 2024 AI Act with Senate Bill 189 in May 2026, a notice based law effective January 1, 2027.
SOC 2 as a buyer expectation
Most US procurement teams ask for SOC 2. Vrisic holds no SOC 2 report and does not claim one. We build inside your cloud account under your existing controls and use providers with their own SOC 2 reports.
NIST AI Risk Management Framework
The NIST AI RMF 1.0 (January 2023) and its Generative AI Profile (2024) are voluntary, but many US buyers use them to review vendors. We map our evaluation sets, monitoring and incident steps to its Govern, Map, Measure and Manage functions.
FTC rules on AI claims
The FTC treats misleading AI marketing as deception and has kept enforcing since its Operation AI Comply in 2024. We document what your system can and cannot do, so your claims match tested behavior.
How much custom AI software costs in the USA
Typical ranges in US dollars; you get one fixed price in writing after a free scoping call.
First version (MVP)
Small businesses and teams proving one workflow or product idea
$25,000 to $60,000£20,000 to £48,000AED 92,000 to AED 220,000
8 to 12 weeks
- One core workflow end to end
- One or two integrations
- Evaluation set and launch report
- Deployed in your cloud account
Production platform
Mid sized US companies rolling AI out to several teams
$60,000 to $150,000£48,000 to £120,000AED 220,000 to AED 550,000
12 to 20 weeks
- Several workflows and user roles
- Single sign on and audit logs
- CRM, ERP and document integrations
- HIPAA or CCPA aware data design
- Monitoring and cost dashboards
Enterprise platform
Enterprises with security reviews, many systems and high volume
From $150,000From £120,000From AED 550,000
5 to 9 months
- Multi department rollout
- Private or open source model hosting
- NIST AI RMF aligned evaluation
- Support for your vendor risk review
- Phased releases with sign off
Typical ranges, not quotes. Smaller entry points: one workflow automation from $5,000, a single task AI agent from $8,000 and one system AI integration from $10,000. Running costs are separate: hosting and model usage billed at cost, optional support from $1,500 per month, usually 15% to 30% of the build cost per year in total. For market context, Clutch AI pricing data (2026) lists US AI firms at $50 to $99 per hour. Our AI development cost guide breaks the numbers down.
How a remote AI engagement runs across Eastern, Central and Pacific time
Fixed milestones and more writing than meetings: how a roughly 10 hour time difference works in your favor.
- 01
Free scoping call and NDA
Week 0A 45 minute video call in your morning. We sign a mutual NDA first if you want, learn the problem, systems and data rules, and tell you honestly if AI is the wrong tool.
You get: Signed NDA, Plain language summary of the opportunity
- 02
Discovery and fixed price
1 to 2 weeksWorkshops with the people who do the work today and access to sample data or a sandbox. You get a written scope, one fixed price in US dollars and a contract with governing law agreed with your counsel.
You get: Scope and architecture, Fixed price proposal, Contract and payment schedule
- 03
Build with weekly demos
4 to 16 weeksTwo week sprints, a short standup in the Eastern morning overlap, a live demo every week and written notes in your inbox each morning. Work continues while you sleep.
You get: Weekly demo recordings, Daily written updates, Shared issue board
- 04
Testing and security review
1 to 3 weeksEvery AI feature is scored against an evaluation set of real examples. Your security team gets data flow diagrams, access lists and logging details, plus a BAA where health data is involved.
You get: Evaluation report, Security pack for your review
- 05
Launch and handover
1 to 2 weeksA staged release to one team, then everyone. We hand over the repository, infrastructure templates and runbooks. Invoices are in US dollars.
You get: Live system in your cloud, Code, documentation and training
- 06
Support, if you want it
OngoingOptional support from $1,500 per month covers monitoring, model updates and small improvements. You can also run it yourselves.
You get: Monthly report, Model and cost reviews
AI development company USA options compared: local agency, offshore body shop, SaaS or Vrisic
Each option wins somewhere, including where we are not the right choice.
| US local agency | Offshore body shop | SaaS AI tools | Vrisic | |
|---|---|---|---|---|
| In person meetings | Yes | No | No | No |
| Same working hours | Yes | Partial | Yes | Morning overlap |
| Pricing model | Hourly, often US rates | Hourly per developer | Per seat monthly | One fixed price per phase |
| Who manages the work | Agency | You do | Vendor roadmap | We do, with weekly demos |
| You own the code | Usually | Check contract | No | Yes |
| Fits your exact process | Yes | Yes | Within settings | Yes |
| Time to first value | Weeks to months | Weeks to months | Days | 10 day pilot, then weeks |
| Best fit | Work that needs people on site | Teams that want extra developers to manage | Standard problems | Scoped builds you want to own |
If in person workshops are essential, a local agency is worth the premium. For a wider view of the market, read our guide to the best AI software development companies, which includes a disclosure that Vrisic is listed.
Test your idea on your own data for $1,500
Our AI Pilot runs for 10 business days on a real workflow, and the full fee is credited if you continue within 60 days. Or email info@vrisic.com to book a free scoping call in your morning.
How to choose an AI software development company in the USA
Ask these of every vendor, including us.
- 1
Who will actually write the code, and where are they?
Some US agencies subcontract overseas without saying so. You deserve to know where the team sits. We tell you on the first call: remote, based in India.
- 2
Do we own the code, prompts and evaluation data?
If the vendor keeps the IP or hosts the system in its own account, you are renting. Ask for IP assignment on payment and a repository in your organization from day one.
- 3
Is the price fixed, and what is outside it?
Hourly billing moves risk to you. A fixed price per phase, plus a clear list of running costs, lets finance plan.
- 4
How do you test AI accuracy before launch?
Look for an evaluation set built from your real examples, scored before launch and after every change, not “it looked right in the demo”.
- 5
Will you sign a BAA and fill in our security questionnaire?
Healthcare work needs a BAA. Everyone needs written answers on access, logging and sub processors, and a straight answer on which certifications the vendor holds.
- 6
What happens after launch?
Ask about monitoring, model changes and cost control. Our way of working sets out handover and optional support in writing.
Questions we hear every week
Still unsure about something? Ask us on a call. We will give you a straight answer, even if it means we are not the right partner.
How much does custom AI software cost in the US?
Custom AI software in the US typically costs $25,000 to $60,000 for a first version (MVP), $60,000 to $150,000 for a production platform, and from $150,000 for an enterprise platform. One workflow automation starts around $5,000. Running costs add roughly 15% to 30% of the build cost per year. Vrisic gives one fixed price in writing after a free scoping call.
Who is the best AI software development company in the USA for a mid sized business?
There is no single best AI software development company in the USA; the right one fits your problem, budget and risk. Judge vendors on code ownership, a fixed price with clear scope, testing before launch, HIPAA or CCPA experience and honesty about who does the work. Vrisic suits mid sized firms that want a fixed price build in their own cloud from a remote team.
Is it safe to hire an offshore AI development company for HIPAA data?
It can be. HIPAA does not ban offshore business associates, but you need a signed Business Associate Agreement, the Security Rule safeguards and a clear data flow. Some government and payer contracts forbid offshore access, so check yours. We keep protected health information in your US cloud account and build with synthetic or de identified data so our engineers never need real records.
Nearshore vs offshore AI development: which is better for a US company?
Nearshore teams in Latin America share most of your working day, which suits projects that need constant live collaboration. Offshore teams in India or Eastern Europe overlap for part of the day, cost less at similar skill and make progress while you sleep. For a scoped, fixed price build with weekly demos, offshore works well; for open ended staff augmentation, nearshore is often easier.
Is Vrisic an AI software development company in the USA or offshore?
Vrisic is a remote company. Our engineering team is based in India, and we have no office, address or phone number in the United States. We work for US clients on a schedule that overlaps with Eastern mornings and early Pacific mornings, invoice in US dollars, and build inside your own US cloud account.
Our team is in New York. Can a remote AI development company work to our hours?
Yes. Our working day overlaps with New York mornings, roughly 8 am to 12 pm Eastern, which covers a daily standup, workshops and the weekly demo. Afternoon questions are usually answered before your next day starts. For clients in San Francisco or Seattle we book calls early in the Pacific morning and keep most updates written.
Will you sign an NDA and a BAA with a US company?
Yes. We sign a mutual NDA before any detailed discovery call, and a Business Associate Agreement when the work touches protected health information. We can agree a US governing law, such as New York or Delaware, in the master services agreement; raise it during scoping so your counsel can review early.
Does our AI software need to comply with the CCPA and other state privacy laws?
If your business meets the CCPA thresholds and handles data about California residents, yes, and the California regulations on risk assessments and automated decision making now apply in stages. Texas, Colorado, Virginia and many other states have their own privacy laws. We design data flows, retention and opt outs so your counsel can sign off.
Where is our data hosted if we are a US company?
In your own cloud account, in US regions you choose, such as AWS US East (N. Virginia) or US West (Oregon), Azure East US, or Google Cloud us central regions. Models run through Amazon Bedrock, Azure OpenAI or Google Vertex AI in those regions, or as open source models inside your network when data must never leave it.
Is Vrisic SOC 2 certified?
No. Vrisic does not hold a SOC 2 report or any security certification, and we will not claim one. What we do is build inside your cloud account, which usually already sits under your SOC 2 controls, use cloud and model providers that publish their own SOC 2 reports, and answer your security questionnaire in writing.
Can you add AI to our existing ERP or CRM instead of replacing it?
Yes, and it is often the better first move. We connect to systems such as Salesforce, HubSpot, NetSuite, Microsoft Dynamics 365 or an in house database through their APIs, then add AI that reads documents, drafts replies and updates records, with a person approving anything that moves money. Nothing is ripped out.
How long does it take to build custom AI software for a US business?
A first version (MVP) usually takes 8 to 12 weeks, a production platform 12 to 20 weeks, and an enterprise platform 5 to 9 months. A single workflow automation can go live in 2 to 5 weeks. If you want proof before committing, our 10 business day AI Pilot for $1,500 tests the idea on your own data, and the fee is credited if you continue.
Find the process where AI will pay off first
Message us on WhatsApp for the fastest reply, or book a free thirty minute call. You will leave with the processes most worth automating, whether to build new or upgrade what you have, a realistic timeline and a clear idea of cost, whether or not you work with us.