Welcome to EazyFluids
We help small businesses, freelancers, and teams integrate AI into their daily workflows — without vendor lock-in, recurring API costs, or data privacy risks.
From local LLM deployment (llama.cpp, Ollama) to agentic automation (Hermes, OpenClaw, Claude Code) and team training, we deliver practical AI that runs on your hardware, under your control.
Our AI Integration Services
- Local LLM Deployment — Run Llama, Mistral, Qwen, Phi, DeepSeek on your own hardware (CPU/GPU/NPU). Quantized models via llama.cpp, Ollama, vLLM. No API keys, no cloud fees, full data privacy.
- Agentic Automation (Hermes, OpenClaw, Claude Code) — Build autonomous agents that write code, run tests, browse the web, manage files, and execute multi-step workflows. We customize and deploy agent frameworks for your stack.
- ChatGPT / Claude API Integration — When cloud models make sense, we integrate OpenAI, Anthropic, and other APIs into your tools: Slack, Notion, Google Sheets, custom apps, VS Code extensions.
- RAG & Knowledge Base Setup — Connect your documents, wikis, PDFs, and databases to LLMs for accurate, citeable answers. Vector stores (Chroma, Qdrant, FAISS), embedding models, hybrid search.
- Workflow Automation — Replace repetitive manual tasks: code review, documentation generation, data extraction, report writing, email drafting, ticket triage, PR summaries.
- Team Training & Enablement — Hands-on workshops: prompt engineering, local model management, agent configuration, security best practices. 2-hour, half-day, or full-day sessions. In-person (Bangalore) or remote.
Why Local-First AI?
- Zero recurring API costs — Pay once for hardware, run unlimited inference.
- Data never leaves your network — Critical for IP, client data, compliance (GDPR, HIPAA, SOC2).
- Works offline — No internet dependency for core workflows.
- Customizable & auditable — Modify model weights, system prompts, tool access. Full transparency.
- Hardware-agnostic — NVIDIA, AMD, Apple Silicon, Intel, Qualcomm NPUs. We optimize for what you have.
How It Works
- Discovery Call — We audit your current workflows, identify bottlenecks, and map out 3–5 high-ROI AI use cases specific to your business.
- Stack Recommendation — We recommend the right mix of local models, cloud APIs (if needed), agent frameworks, and infrastructure — tailored to your budget and privacy requirements.
- Deployment & Integration — We set up models on your hardware, connect them to your tools (Slack, Notion, Google Sheets, VS Code, custom apps), and build your first automation workflows.
- Training & Handover — Your team learns to use, customize, and maintain the system through hands-on workshops. Ongoing support available.
Typical Engagements
| Engagement | Scope | Timeline | Starting From |
|---|---|---|---|
| AI Discovery Sprint | Audit workflows, identify 3–5 high-ROI use cases, recommend stack | 1 week | ₹25,000 |
| Local LLM Pilot | Deploy 1–2 models on your hardware, build 1 production workflow | 2–3 weeks | ₹50,000 |
| Full Stack AI Integration | Deploy agents, RAG pipeline, automation workflows, and team training | 4–6 weeks | ₹1,50,000 |
| Team Training Workshop | Hands-on prompt engineering, agent config, local model management, security best practices | 1–2 days | ₹15,000 |
All prices exclude hardware costs. We can also help source or recommend suitable hardware (NVIDIA Jetson, used workstation GPUs, Apple Silicon Mac Minis, Intel NPU laptops) for your use case.
Frequently Asked Questions
Do I need a powerful GPU to run local LLMs?
Not necessarily. Many modern models run well on CPU with quantization (GGUF). For larger models (30B+ parameters) or faster inference, a GPU helps, but we can optimize for whatever hardware you have — including Apple Silicon, Intel NPUs, and Qualcomm AI engines.
How is this different from just using ChatGPT?
ChatGPT is a general-purpose tool. We build — and train you to build — tailored AI workflows: agents that know your codebase, automate your reports, triage your tickets, and write your documentation. Plus, local models keep your proprietary data private and work offline.
Can you integrate AI into my existing tools?
Yes. We’ve integrated AI with Slack, Notion, Google Sheets, VS Code, Jira, WordPress, Telegram, email, and custom internal tools. If your tool has an API or webhook, we can connect it.
Do you offer ongoing support after deployment?
Yes. We offer monthly support retainer options: model updates, workflow tuning, new agent capabilities, and troubleshooting. Most clients opt for 2–4 hours/month after the initial deployment.
What if I only need training for my team?
That’s one of our core offerings. The Team Training Workshop is stand-alone — no deployment required. Your team will leave with practical skills they can apply immediately using free or low-cost tools.
Ready to Get Started?
Whether you’re a freelancer looking to automate client work, a small business wanting to cut operational costs, or a company exploring AI agents — we can help. Get in touch for a free 30-minute discovery call.
Based in Bangalore, serving clients worldwide. Remote delivery available.