We help businesses move from AI idea to live product — with the right models, architecture, and safety controls from day one.
Start Your AI ProjectGenerative AI development means building AI systems that run on your business data — custom models, in-product copilots, and agents that get real work done. From idea to live production, one senior team handles everything end to end.
AI models trained on your own business data, with live access to your latest information — so answers stay accurate and never get made up.
AI helpers built right into your CRM, ERP, and internal tools — your data stays inside your systems and never leaves.
We test Claude, GPT, Gemini, and Llama on your real data — not marketing demos. Built so you can switch models later without rebuilding anything.
Built-in checks for accuracy, made-up answers, safety, and live cost tracking from day one — the safety layer most teams forget.
Purpose-built language models on your private data — fine-tuned domain experts that understand your business, not just generic language.
Retrieval pipelines that ground LLMs in your documents and live data — no hallucinations, always pulling from current truth.
Autonomous agents that plan, call tools, and complete multi-step tasks with human-in-the-loop controls and full observability.
LoRA, QLoRA, and full fine-tunes on your proprietary data — tuned for accuracy, tone, and domain reasoning off-the-shelf models cannot deliver.
In-product AI assistants embedded into CRMs, ERPs, and internal tools — with data residency controls so data stays in.
Continuous accuracy scoring, hallucination detection, and safety policies — the production layer most teams skip.
Production-only delivery — no demo-ware, ever.
Cloudmate standard
LLM integrations shipped across client stacks.
As of 2024
LLM providers — Claude, GPT, Gemini, Llama and more.
Model-agnostic architecture
Avg. reduction in manual workflow effort post-rollout.
Avg. across Cloudmate projects
Faster team output with AI copilots in existing tools.
Client-reported, 2023–24
To a working prototype — every engagement, every time.
Fixed delivery milestone
Data maturity, use case scoring, success metrics, and a phased roadmap. We tell you exactly what’s feasible before a line of code is written.
Benchmark LLM candidates on your actual data. Design the RAG pipeline, fine-tuning approach, or agent architecture with written rationale for every decision.
Working prototype in your hands by week 3. Paired with 150–300 test cases scoring accuracy, groundedness, and safety before any user sees a response.
Controlled rollout to a real user cohort. Live traffic, human review loops, and continuous evals running in the background the entire time.
Zero-downtime rollout to your full stack. SRE runbooks, cost dashboards, and alerting configured before go-live — not retrofitted later.
Weekly eval reports, model version upgrades, cost and latency tuning so your system keeps improving after launch — not just at it.
Claude
Gemini
Llama 3
LangChain
LlamaIndex
DSPy
Semantic Kernel
Weaviate
Qdrant
Chroma
Langfuse
Weights & Biases
Arize Phoenix
Ragas
AWS Bedrock
Azure OpenAI
Vertex AI
vLLM (On-prem)
NeMo Guardrails
Guardrails AI
Lakera
Presidio (PII)HIPAA · HL7 · FHIR
PCI-DSS · OMS · POS
IRDAI · SOC 2 · GDPR
RERA · CRM · MLS
Not a service — a product. The AI CRM that hosts the GenAI we ship.
Explore the SolutionFrom prototype to production — with evaluation, guardrails, and observability built in.
