WhatsApp AI assistant and booking engine for a client services company
Built a three-layer agent system: a booking engine, WhatsApp AI assistant via Meta Cloud API, and a real-time ops dashboard, all routing through a unified LLM layer.
From AI agents and RAG applications to full-stack Generative AI products, CreateOS designs, builds, and deploys custom AI solutions for enterprises that want real results.
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Whether you need to automate a workflow, build a product from scratch, or integrate AI into your existing stack, we have shipped it before.
Independently verified numbers from McKinsey, NVIDIA, and other leading research institutions.
of companies report AI has increased annual revenue. 30% saw growth greater than 10%.
NVIDIA State of AI 2026 →of companies report AI has reduced annual costs. 25% achieved reductions greater than 10%.
NVIDIA State of AI 2026 →revenue increase for companies using AI in marketing, alongside a 37% cost reduction, simultaneously.
Fullview AI Statistics 2025 →of organizations say AI is enabling their innovation, driving new products, markets, and revenue streams.
McKinsey State of AI 2025 →Every sector has different constraints, data, and compliance requirements. We have worked across enough of them to build fast and get it right.
Clinical workflows, imaging analysis, patient engagement.
Fraud detection, risk scoring, predictive finance.
Research automation, document review, contract analysis.
Personalization, demand forecasting, listing automation.
Defect detection, workflow automation, predictive maintenance.
Content automation, audience targeting, campaign intelligence.
Route optimization, last-mile AI, fleet and ops automation.
Adaptive learning, AI tutoring, student outcome prediction.
AI feature integration, internal copilots, knowledge bases.
Ticket automation, agent assist, voice and chat bots.
A sample of what we have shipped and the outcomes it delivered.
Built a three-layer agent system: a booking engine, WhatsApp AI assistant via Meta Cloud API, and a real-time ops dashboard, all routing through a unified LLM layer.
Integrated 100+ LLM models into a single routing layer with RAG-powered knowledge retrieval, smart fallback handling, and per-model cost tracking.
Designed and deployed a cloud infrastructure and scaling platform requiring enterprise-grade reliability and consistent uptime across all production environments.
A clear, no-surprises process. You know what is being built, when it ships, and what it costs before we write a single line of code.
We learn your stack, goals, and constraints. Free call, no commitment.
Deliverables, timeline, and fixed pricing in writing before we start.
Agile sprints with full visibility. You see progress every week, no black boxes.
We ship into your environment, monitor performance, and expand as you grow.
The AI services market is crowded. Most agencies default to the same three tools and call it a custom solution. We start with your problem, pick the right model for your data and budget, and build something that works in your environment, not just in a demo.
Your project runs on NodeOps infrastructure we operate ourselves, not rented tools we only know at the API level.
Three years shipping AI for institutional clients who demand reliability and pace. We do not trade one for the other.
Not locked to any provider. We evaluate models against your actual data and swap them without rebuilding your product.
Deliverables, timeline, and cost agreed in writing before we start. No retainer ambiguity, no hourly overruns.
All IP, code, and models are yours outright. We document everything and train your team so you are never dependent on us.
Direct access to 100+ models with smart routing, fallback handling, and real-time cost tracking built in from day one.
“The team understood our infrastructure requirements from day one. What would have taken us months internally, they shipped in weeks and it held up in production.”
“We evaluated three AI vendors. CreateOS was the only one that came back with a proposal grounded in our actual data environment, not a generic pitch deck.”
“They push back when something will not work and suggest better approaches. That kind of technical honesty is rare and it saved us from building the wrong thing twice.”
If something is not answered here, just ask us directly.
Most agencies build on third-party tools they do not control. CreateOS is backed by NodeOps infrastructure, meaning we own and operate the AI infra your project runs on. We also run rigorous LLM evaluation before recommending a model, rather than defaulting to whatever is most popular.
Tell us what you are working on. We will come back with an honest assessment and a clear path forward. No obligation, no sales pitch.