Custom AI built for the industries Charlotte actually runs on: banking and payments, energy, healthcare and freight. We work from a North Carolina base, in your timezone, with engineers who have shipped models into production rather than into a slide deck.
Trusted by teams worldwide
Six service lines covering the AI work Charlotte companies actually commission, from a first pilot through to a model running in production with someone accountable for it.
Charlotte is a banking and energy city with a large healthcare footprint and freight moving through it constantly. The AI work that pays for itself here looks different from a consumer-app market, so these are the six sectors we scope against.
Charlotte is one of the largest banking centres in the United States, and it is where most local AI budgets sit.
The region is a major energy hub, and grid and asset data is exactly the shape predictive models are good at.
Large provider networks across the Charlotte region, where anything touching patient data has to be HIPAA-ready by architecture.
Charlotte sits on major freight corridors with a large air-cargo presence, so routing and ETA accuracy carry real money.
One of the faster-growing metros in the country, with the document and scheduling load that comes with building at pace.
The firms serving the banks. Research, review and reporting work that assistants and retrieval genuinely shorten.
The things that decide whether an AI project reaches production, backed by our AI development and data teams.
A measurable eval set exists before anything ships, so quality is a number you can argue with rather than an impression.
A North Carolina base for the working relationship, with engineering depth in India. Standups land in your morning, not overnight.
Banking and healthcare dominate here, so audit trails, access control and explainability are designed in rather than added under pressure.
Serving infrastructure, monitoring and rollback come with the model. A pilot nobody can operate is not a delivery.
Discovery ends in a written scope and a fixed quote. You own the model, the code and the documentation, with an NDA signed up front.
Plenty of problems are better solved by a rules engine or a decent search index. Finding that out in scoping is far cheaper than after.
One call about your data, your use case and your quality bar tells you whether it is feasible, what it will cost to run each month and the team shape you need. You get the findings whether or not you engage us.
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A process that proves value on a narrow slice before anyone commits to a platform.
We map the use case, the data you actually hold and the quality bar it must clear, then fix a quote.
A simple baseline and a real evaluation set first, so later gains are measurable rather than asserted.
Model, data pipeline and the product around it, built in sprints with weekly demos on your data.
Security review, audit logging and human-in-the-loop controls before anything touches a customer.
Serving, monitoring, drift detection and retraining, with someone accountable when a metric moves.
Delivered since 2018 across AI, mobile, cloud and connected-device builds.
Client operations running on Appther-built platforms worldwide.
From 87 verified client reviews, alongside a 100% Upwork job-success score.
A US office in China Grove, NC, so the working day overlaps with yours.
Real products, real users, real numbers, across health, mobility, delivery and education.
Mood tracking, guided sessions and personalised wellness plans in a warm, calming experience.
Route and dispatch optimisation on live operational data, the same class of problem Charlotte freight operators carry.
RFID scanning and automated weighing across a municipal collection fleet, with dashboards operators actually use.
Coach matching, personalised study plans and adaptive progress tracking for 10K+ students.
The frameworks, model providers and infrastructure we build Charlotte AI projects on.
PyTorch
TensorFlow
Hugging Face
OpenAI
Anthropic
LangChain
scikit-learn
Python
AWS
Azure
Kubernetes
Docker
PostgreSQL
MLflow
Airflow
OpenCV“Appther built our student competition app exactly the way we envisioned it: easy registration, smooth judging, and real-time results that keep participants engaged.”
“Building a mental health app means every detail has to be handled with care, and Appther got that from day one. The product feels warm, simple, and genuinely helpful.”
“Appther exceeded every expectation, on time and on budget, and the final product has been instrumental in scaling our business. A rare engineering partner.”
“Implementing an ERP across our operations felt daunting at first, but Appther made the transition seamless. Every department now works off a single source of truth.”
Field notes from real builds. No hype, just what worked and what didn't.
Why a measurable eval set is the first thing to build, not the last.
Retrieval decisions that quietly decide answer quality.
Getting a model into production before you buy the tooling.
Problems where rules beat machine learning outright.
Walk away from one call with a feasibility view, a shortlist of use cases worth doing first, a realistic budget range and a delivery timeline. No pitch deck, no obligation.
Tell us the use case and what data sits behind it. No sales pitch, just a straight answer on feasibility, scope, timeline and cost. Prefer email? Use our contact page.
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