Agentic AI,
wired into the work you already do
OnlineCloud is a US-based engineering studio focused on Model Context Protocol (MCP), autonomous agents, and applied machine learning. We don't sell decks — we ship evaluated, observable systems that plug into Oracle, MS SQL, your CRM, and the tools your team uses every day.
Model Context Protocol, built right
MCP is the contract layer between LLMs and your business logic. Done well, it replaces brittle prompt-stuffing and one-off function calls with typed tools, declarative resources, and auditable transports. Done badly, it's just a slower API gateway.
We design MCP servers around real database schemas, real auth boundaries, and real cost ceilings — then connect them to Claude, GPT-4 class models, or open-weights deployments running in your own VPC.
Tool surfaces
Wrap any internal API as a typed MCP tool with clean error semantics.
Server architecture
Stateless MCP servers with auth, rate limits, and audit logs out of the box.
Agent orchestration
Plan/act/reflect loops with cost ceilings and human checkpoints.
Streamable transports
Streamable HTTP and SSE for low-latency, long-running tool calls.
Data connectors
Oracle, MS SQL, Postgres, Snowflake — bridged with row-level access policies.
Custom resources
Tools, prompts, and resources designed around your actual workflows.
Chatbots that cut support cost, not customer experience
We build voice and chat assistants tuned to your actual workflows — order lookups, returns, account verification, sensitive helpline conversations. Most teams see support headcount pressure drop within the first quarter while CSAT stays flat or improves.
Up to 70% lower support cost
A trained chatbot handles tier-1 and tier-2 questions at a fraction of the per-ticket cost of a human agent.
Always-on, zero overtime
Nights, weekends, holidays — answer in seconds without shift premiums or weekend staffing.
Multilingual by default
One assistant covers English, Spanish, French, Hindi and more — no separate teams per region.
Deflects repetitive tickets
Returns, order status, FAQs and account checks resolve inside the chat, not in your inbox.
Voice & Chat Agent for Women Violence Support
A bilingual voice and chat assistant trained on trauma-informed scripts. Callers reach help instantly — safety screening, safe-word handoff to a human counselor, resource routing by ZIP code, and full transcript privacy.
Order Information Chatbot with Verification
Customers ask "where is my order?" and get verified status, tracking, ETA and return links — gated by email/OTP verification so account data never leaks. Cut order-status tickets by more than half in week one.
What we do
Five disciplines. One delivery team.
Every engagement gets the same people from kickoff to handover — the architect who scopes it is the engineer pushing commits.
Short loops
Weekly demos, working code. You see progress, not status updates.
Production discipline
Eval suites, observability, rollback paths — built in, not bolted on.
Honest measurement
We instrument outcomes (accuracy, latency, $/request) and share dashboards.
Senior engineers only
The person scoping the project is the person writing the code.
Our process
From first call to production
Discovery sprint
One week, fixed scope. We map your data, pick the right model class, and write the eval that defines 'done'.
Build in vertical slices
We ship one usable slice every 1–2 weeks — real data, real users — and iterate against the eval, not against opinions.
Operate & improve
After launch we own the dashboards, retraining schedule, and on-call. The system gets sharper month over month.
Got a project
in mind?
We're always open to discussing new projects and opportunities. Let's chat about how our team can help bring your AI vision to life.