ATHING Service
AI Integration & Deployment
AI capabilities, wired into your systems.
Everyone has an AI strategy. Almost nobody has AI running reliably in production. The gap is an engineering problem — connecting the right models and APIs to the right data, in a system that can be monitored, maintained, and trusted. That's the work we do: designing and building the integration layer between your data, your systems, and AI capabilities that deliver measurable outcomes.
What You Get
Deliverables & outcomes
LLM & API Integration
Connecting large language models (OpenAI, Anthropic, Azure AI) into your applications, with prompt engineering, context management, and cost controls built in from the start.
RAG Pipeline Development
Retrieval-augmented generation built on your own data: embedding pipelines, vector store setup, and retrieval logic that gives AI accurate, domain-specific context.
ML Model Deployment & Serving
Taking models (yours, your vendor's, or open-source) and building the inference infrastructure — REST APIs, batch scoring, or embedded — that makes them production-usable.
AI Workflow Orchestration
End-to-end automated pipelines that trigger AI processes from data events, route outputs to downstream systems, and handle failures gracefully.
How We Work
Our approach
01
Assess
Map existing systems, data flows, and where AI realistically adds value versus where it adds complexity.
02
Architect
Design the integration: which models, which APIs, how data enters and exits the AI layer, and what the production infrastructure looks like.
03
Integrate
Build the pipelines, connectors, and APIs that wire AI into your systems — with observability and cost visibility included.
04
Operationalize
Monitoring, alerting, model version management, and a maintenance plan so the integration stays reliable as models and data evolve.
Why ATHING
We solve what others can't
Successful AI integration is 20% model selection and 80% data engineering. We know how data moves through systems — pipelines, warehouses, event streams — which means we know how to feed AI correctly, handle failures at the seams, and build integrations that don't collapse when the input data changes. We also know when an LLM API call is overkill and a deterministic rule solves the problem faster and cheaper.
Ready to Start?
Let's solve your hardest problem
Tell us what you're dealing with. If we're the right fit, we'll tell you. If we're not, we'll tell you that too.
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