Generative AI development · Atlanta
Generative AI development company in Atlanta
Ship faster with senior engineers at offshore rates, overlapping your morning with a daily live stand-up.
Clarigo Infotech is a generative AI development company that builds GenAI products for businesses: copilots for your team, content, image and document generation, fine-tuned models and private LLMs that run on your own cloud. We connect models to your data with retrieval and guardrails, so outputs are grounded and safe to use. A focused GenAI product usually goes live in 25 to 30 days.
US companies most often hire us for AI agents, HIPAA-ready healthcare software and SaaS MVPs for funded startups.
10+
Years of delivery
600+
Projects delivered
20+
Countries served
25-30
Days to a live MVP
Get a free consultation
Tell us what you need. A senior engineer replies within one working day.
Speed, ROI and a team that scales with you
North American teams care about getting to market fast and proving return on investment. We focus on a production launch in weeks and measurable results after it.
Production in 25 to 30 days
A real, launchable first version in about a month, so you can sell, raise or learn sooner.
Senior talent, lower burn
Senior engineers at typical rates of $25 to $49 per hour, without recruiting costs or long notice periods.
Built to scale
Cloud architecture, automated tests and CI/CD from day one, ready for your next growth stage.
Security and compliance ready
HIPAA-trained team, HL7/FHIR experience, and security practices that fit SOC 2-style questionnaires.
What our generative AI development covers
Copilots and assistants
In-app assistants that draft, summarise, answer and take actions for your staff or customers, grounded in your own data.
Content generation
Product descriptions, marketing copy, reports and emails generated in your brand voice, with review steps before anything is published.
Image and media generation
Product imagery, design variations and visual assets generated from prompts or templates, built into your existing workflow.
Document generation
Proposals, contracts, summaries and structured reports drafted from your templates and records, ready for human sign-off.
Fine-tuning
Models fine-tuned on your examples when prompting and retrieval are not enough, with evaluation to prove the gain.
Private LLMs
Open-source models such as Llama, Mistral or Qwen hosted on your own cloud, so sensitive data never leaves your environment.
How we approach Generative AI development
Prompting, retrieval or fine-tuning
Most GenAI products work best with good prompts plus retrieval from your own documents. We only recommend fine-tuning when you have enough quality examples and a clear gap that retrieval cannot close, because it adds training and maintenance cost.
Choosing the right model
We compare GPT, Claude, Gemini and open-source models on your real tasks for quality, speed and cost before committing. The architecture keeps the model swappable, so you can switch providers as prices and capabilities change.
Guardrails and review
Generated output goes through checks for format, tone, facts against your sources and sensitive content. Where accuracy matters, we add a human approval step and keep a log of every generation.
Private by design
We use API providers configured not to train on your data, or host open-source models on your own cloud. For healthcare work, our HIPAA-trained team builds to HIPAA requirements.
Built for Atlanta teams
Time-zone overlap
Our team overlaps with US Eastern mornings and runs flexible evening shifts for a live daily stand-up, so you get same-day answers and progress waiting each morning.
HIPAA and US state privacy laws
For healthcare we build to HIPAA requirements: role-based access, encryption, audit logs and HIPAA-eligible cloud hosting, with BAAs in place for vendors that touch PHI. For other products we follow US privacy laws such as CCPA, and we sign NDAs before any work starts.
Billing
Invoices in US dollars (USD). Typical senior rates are $25 to $49 (USD) per hour, or a fixed price for a defined scope.
Built for Atlanta's key sectors
Atlanta's logistics, fintech and healthcare companies come to us for platforms that connect to their existing systems, document automation and AI assistants for operations teams.
SaaS and enterprise software
Fierce competition rewards fast product iteration and AI features. AI here usually means faster reporting, fewer manual steps and better customer replies.
Healthcare
Providers need HIPAA-aware portals, scheduling and claims automation. We start with one costly process and automate it end to end.
Financial services
Banks and fintechs modernise onboarding, fraud checks and payments. We build AI agents, assistants and automation around these workflows.
Retail and e-commerce
Direct-to-consumer brands live on conversion-focused stores and paid ads. AI here usually means faster reporting, fewer manual steps and better customer replies.
Your working day with us
Our team's hours, in Atlanta time
23:30–09:00
Monday to Friday
Overlap with your working day
Flexible shift
Evening shift for a live stand-up, progress overnight
Daily stand-up
09:30
Atlanta time, plus written updates every evening
What we set up for Atlanta
Messaging channels
Languages
Local payments
Data hosting
AWS US East (N. Virginia), Google Cloud us-east4 and Azure East US, in your own cloud account, so data stays where your rules require.
How it works
Week 1: discovery and design
A free call to understand your goal, then a written scope, a fixed quote and a clickable design you can test.
Weeks 2-3: build and integrate
Senior engineers build in short sprints, connect your systems and demo working software every week.
Week 4: test and launch
We test with real data, set up monitoring and deploy to your own cloud account, then go live.
After launch: support and grow
The same team stays on for support, improvements and new features, with guaranteed response times.
See what we've built
Try it yourself, free
Free browser tools from our team. No sign-up needed.
Generative AI development company: questions from Atlanta
Do you work with companies in Atlanta?+
Yes. Clarigo Infotech works with companies across Atlanta, including Atlanta, Alpharetta, Marietta, as part of clients in 20+ countries. US companies most often hire us for AI agents, HIPAA-ready healthcare software and SaaS MVPs for funded startups. We work remotely from India with one in-house team.
What time-zone overlap do we get from Atlanta?+
Our team overlaps with US Eastern mornings and runs flexible evening shifts for a live daily stand-up, so you get same-day answers and progress waiting each morning.
How do you handle HIPAA and US state privacy laws?+
For healthcare we build to HIPAA requirements: role-based access, encryption, audit logs and HIPAA-eligible cloud hosting, with BAAs in place for vendors that touch PHI. For other products we follow US privacy laws such as CCPA, and we sign NDAs before any work starts.
Which currency do you bill in, and what does it cost?+
We bill in US dollars (USD). Senior engineers typically cost $25 to $49 (USD) per hour, and fixed-scope projects such as an MVP in 25 to 30 days are quoted after a free consultation.
What time are your meetings in Atlanta time?+
Our core hours fall outside your day, so we run a flexible shift for a daily stand-up at about 09:30 Atlanta time, and the rest of the work moves forward overnight.
Can you build in English and Spanish?+
Yes. We build interfaces and content in English and Spanish, and test them with native speakers before launch.
Where will our data be hosted?+
Usually in AWS US East (N. Virginia), Google Cloud us-east4 and Azure East US, or wherever your data rules require. Everything runs in your own cloud account, so you stay in control.
How much does generative AI development cost?+
It depends on scope, integrations and usage volume. You get a fixed quote for a defined scope after a free consultation, plus an estimate of monthly model costs. Senior developers are typically $25 to $49 (USD) per hour.
How long does it take to build a GenAI app?+
A focused generative AI product for one use case typically goes live in 25 to 30 days. Fine-tuning or private model hosting can add time, which we agree in the scope.
Generative AI development company around the world
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