Services by Country
AI Development for US Companies
Codemotives builds AI products for US companies remotely from Ahmedabad, with HIPAA, state privacy laws and security reviews treated as part of the work.
Overview
AI Development Company in the USA
US buyers face a patchwork rather than one AI law: state privacy statutes such as CCPA/CPRA, HIPAA for health data, and sector rules in finance and employment. Codemotives can help scope AI features in light of these, with data minimization, access controls and audit logging designed in rather than added late.
We focus on features that ship: LLM integrations, retrieval over company data, classification, forecasting and workflow automation. We work remotely from Ahmedabad. IST is 9.5 hours ahead of US Eastern during daylight saving and 10.5 hours ahead in winter, and 12.5 to 13.5 hours ahead of Pacific, so our evenings overlap with US mornings.
Context
What matters here
- 01
State and sector privacy
CCPA/CPRA, HIPAA and other rules affect what data models can touch. We design data flows with these in mind, including BAA requirements for health data.
- 02
Security questionnaires
US enterprise buyers expect detailed vendor reviews. We support them with documented architecture and data handling.
- 03
Hallucination risk
Customer-facing models that guess are a liability. We use retrieval, guardrails and evaluation sets to limit it.
- 04
Vendor and cost sprawl
Multiple model providers can create unpredictable spend. We design abstraction layers and usage tracking.
Capabilities
What we deliver
- 01
LLM product features
We embed summarization, drafting, extraction and chat into SaaS and internal tools.
- 02
Healthcare-aware pipelines
We build AI workflows that treat PHI carefully, with access controls and logging.
- 03
RAG over company data
We build retrieval systems with permissions that follow your existing identity setup.
- 04
Predictive models
We develop churn, demand, pricing and risk models and deploy them as APIs.
- 05
Evaluation and red-teaming
We test outputs against real cases and adversarial prompts before release.
- 06
MLOps and cost control
We version models, monitor drift and track per-feature spend.
Common projects
- Clinical documentation assistants with review
- Contract review for legal operations teams
- Support copilots for SaaS companies
- Fraud detection for fintech platforms
- Sales forecasting for distribution businesses
Technologies we use
- Python
- PyTorch
- LangChain
- OpenAI API
- AWS Bedrock
- Azure OpenAI
- Google Vertex AI
- pgvector
Approach
How remote delivery works
- 1
Start with a call
We meet online at a time that suits your time zone to understand goals, users and constraints.
- 2
Agree the plan
Scope, milestones, working hours overlap, communication channels and documentation are set up front.
- 3
Build in the open
Short iterations with demos, shared boards and written updates keep progress visible from anywhere.
- 4
Launch & support
We deploy, hand over documentation and access, and keep supporting the product after release.
FAQs
Common questions
Have a question that is not covered here? Get in touch.
Can you work with HIPAA-regulated data?
We can design architectures with HIPAA requirements in mind, such as access controls and audit logs, and work under agreements your organization requires. We do not claim certification, and your compliance team should review the final design.
How does time zone work with the US?
Codemotives is remote from Ahmedabad. Indian evenings overlap with US Eastern mornings; Pacific teams have a shorter early-morning window. The US spans several zones, so we agree a schedule with you.
Which AI models do you use?
We choose between hosted APIs, cloud-managed models and open models based on accuracy, cost and data sensitivity. We avoid locking you to one vendor where practical.
Will you sign an NDA and assign IP?
Yes. NDAs and IP assignment are standard, and we can follow your vendor security process.
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Let's build what's next
Tell us about your idea, product or legacy system. Send us a message and we will help you scope the right next step.