Turn AI into a profit center, not a cost center.
We help businesses replace manual work with reliable AI automations, deploy private infrastructure, and drastically lower LLM API bills. Clean code, clear scopes, real ROI.
AI is easy to demo. It is incredibly hard to put into production.
You already know AI can save your business hundreds of hours a week. But when you actually try to build it, you run into the same three walls:
1. The costs run out of control. Sending thousands of requests to OpenAI gets expensive fast if you do not have proper routing and caching built in.
2. The outputs are unreliable. A chatbot that hallucinates or breaks on edge cases is worse than having no automation at all.
3. The privacy risks are too high. You cannot afford to send your sensitive customer data or internal company documents to public cloud APIs.
That is what we fix. We handle the complex systems engineering so you get AI that just works.
Our Solutions
What we build for you.
Custom AI Workflows
Stop paying humans to do robot work. We build autonomous workflows that integrate perfectly into your existing software stack.
- Customer support ticket routing and drafting
- Internal document processing and data extraction
- Automated outbound email and lead qualification
LLM Cost Reduction
Your API bill is probably higher than it needs to be. We audit your usage and implement middleware to fix the leak.
- Semantic caching to eliminate redundant requests
- Dynamic model routing (using cheaper models for easy tasks)
- Typical savings range from 30 to 70 percent on monthly API spend, depending on current setup
Pull usage logs
We review your API logs to see actual request volume, model mix, and where spend concentrates.
Flag redundant and oversized calls
We identify repeated queries that could be cached and tasks running on a model more powerful (and expensive) than they need.
Model a routing plan
We map which requests can move to cheaper models or a cache layer without a drop in output quality.
Hand you a savings estimate
You get a concrete before/after projection for your usage, not a generic number, before any implementation work starts.
Private AI Infrastructure
Own your intelligence. We deploy highly optimized open-source models directly onto your private servers or edge devices.
- Total data privacy, facilitating SOC 2, HIPAA, and GDPR compliance
- Deploying top-tier open models
- Hardware-level inference tuning for maximum speed (vLLM, TensorRT)
- Zero recurring cloud API costs
How we work
Fixed scopes. No endless retainers.
1. We talk business first.
We start with a free discovery call to understand exactly what problem you are trying to solve and calculate the potential ROI. If we cannot save you time or make you money, we will tell you.
2. You get a clear roadmap.
We provide a flat-rate proposal with a strict timeline and clearly defined deliverables. No hourly billing surprises. Free discovery call first, flat-rate proposal after. You know exactly what you're paying for before any work begins.
3. We build and hand over.
We engineer the solution, integrate it with your systems, and give you clean documentation. You own the code and the systems from day one. Optional maintenance retainers are available if you need ongoing model updates and support.
About
Shailesh Chauhan
Founder, SH1I started SH1 because I saw too many businesses getting burned by fragile AI wrappers and bloated retainers. We believe in shipping robust, private, and cost-effective infrastructure that actually delivers ROI, built on trust and technical transparency.
Common Questions
Before you book a call.
Are you a solo agency or a team?
Right now it's just me, Shailesh, working directly on every engagement, and I bring in trusted contractors for specialized work when a project needs it.
You're new, why should I trust you with production AI systems?
Fair question. So instead I lean on a transparent process: a free discovery call where we scope the real problem, a fixed-scope proposal so there's no ambiguity about what you're paying for, and the option to start with a small paid pilot before committing to anything larger.
What if the automation breaks after handover?
You get documentation and a defined warranty window for fixes at no extra cost. After that, optional maintenance retainers cover ongoing monitoring and updates, but you always own the code and can maintain it yourself or hand it to another team.
Do you sign NDAs / handle data securely?
Yes, I'll sign an NDA before any discovery call that involves sensitive details. For private infrastructure engagements, your data stays on your own servers rather than passing through third-party APIs.
Stop researching. Start building.
Let's map out exactly how AI can optimize your specific business processes.