Services
A.I. in production, and the skills to keep it there.
Ark Cloud Tech takes an idea from a working session to software a team can operate. The emphasis is generative A.I. — custom agents and the tools around them — with software design, web design, and corporate training as part of the same engagement.
A.I. Solutions
Custom agents and model integrations for companies that need a result, a boundary around their data, and a way to know the system helped. This is the center of the practice.
- Custom agentsScoped tools, a clear job, and a person still accountable for the outcome.
- Enterprise LLM integrationAmazon Bedrock, private deployments, and APIs such as ChatGPT, with the model behind the system the business already runs.
- Call and document intelligenceTranscript review, summaries, and retrieval grounded in the work — the pattern behind post-call analytics and correspondence tools.
- Models beyond chatPyTorch, TensorFlow.js, neural nets, and generative models when the job is vision, fraud, forecasting, or classification rather than a chatbot.
- Proof, then productionA small demonstration for the people who have to fund it, then the API, data, and monitoring that keep it alive.
- GuardrailsWhat the agent may see, what it may do, and which numbers tell you it is earning its cost.
Software & web
Interface through database. Websites, internal tools, and cloud services designed so the next engineer can change them without a rewrite.
- Software designArchitecture, requirements, and the unglamorous diagrams that keep a build honest. Visio when a picture is the fastest contract.
- Website design and buildMarketing and product sites with a point of view, including the public sites in the work section.
- Full stackReact, React Native, and Angular on the front. Node and .NET in the middle. SQL Server, PostgreSQL, MongoDB, and DynamoDB behind them.
- CloudAWS first — Lambda, S3, and the services around them — plus Azure and Google Cloud when that is where the system already lives.
- DataPipelines, SSIS, reporting in Tableau and Power BI, and the migration work that gets an on-prem warehouse into a cloud database.
- Desktop and mobileFrom earlier Windows and .NET applications through MAUI, Angular, and React Native delivery tracking.
Corporate training
Working sessions for teams adopting the tools they already pay for. The material comes from production use of agents, Bedrock, and full-stack delivery, practiced on the team’s own tasks.
- CursorHow engineering teams use an A.I. editor without giving away the repository’s judgment: context, review, and where the agent should stop.
- ChatGPTDaily drafting, analysis, and custom GPTs or API workflows tied to a real process, including the call-summary pattern used in servicing and finance work.
- ClaudeLong-form research, policy and specification drafts, and careful reading of source material.
- GeminiWhere Google’s models fit a team that already lives in Workspace, search, and shared documents.
- Agent workshopsDesigning a small agent: tools, memory, permissions, and a test the team can rerun next month.
- AdoptionA short playbook for managers: which jobs to hand over, which to keep, and how to tell the difference after the workshop.