Not a ChatGPT wrapper. Not a prompt template.
A model fine-tuned on your data — deployed inside your walls,
improving every month, understanding your business better than 99% of your employees.
The Problem With Off-The-Shelf AI
Every time someone in your company opens ChatGPT, they start from zero. They explain the context. They paste the SOPs. They re-state the policies. The AI forgets it all when the tab closes.
A custom model remembers. It compounds. It becomes the institutional knowledge layer your business has never had.
Off-the-shelf models have zero memory of your business, your processes, your language, or your edge cases.
Your team spends hours per week re-explaining context to AI. That knowledge never accumulates. It evaporates daily.
Your proprietary data is being fed into OpenAI, Anthropic, Google — training their next models, not yours.
A private model trained on your corpus — your calls, tickets, SOPs, contracts, emails — deployed where only you control it.
What I Build
Depending on your use case, the architecture changes. Each is fully yours — no API keys, no usage bills, no data leakage.
AI that handles calls. Trained on your scripts, your tonality, your objection library. Answers like your best agent — at infinite scale, zero staffing cost.
A language model that speaks your domain. Trained on your documents, policies, contracts, and transcripts. Understands nuance your generic AI misses.
Eyes trained on what matters to your business. Defect detection, document parsing, form extraction — with precision no generic OCR model reaches.
How It Works
No 3-month discovery. No vague "alignment workshops." A fixed process — start to live model — in under 8 weeks.
Phase One
We map what data you already have — calls, tickets, documents, CRM exports. If it's thin, I tell you exactly what to collect and for how long.
Week 1–2
Phase Two
Real data gets cleaned and structured. Where gaps exist, I synthesise training examples from your domain hypothesis — guided by your subject-matter experts.
Week 2–4
Phase Three
Model trained, benchmarked against your real-world tasks. You get an eval harness — a dashboard showing exactly where it's right, where it needs work, and why.
Week 4–6
Phase Four
Model deployed to your infrastructure — on-prem, VPC, or cloud-private. Continuous retraining loop set up. The model gets smarter every month. You own everything.
Week 6–8 + ongoing
Deployment Options
Three deployment modes. All options mean you own the weights, the data pipeline, and the retraining loop.
Runs entirely on your own servers. No internet connection required. The only option for regulated industries where data never leaves your physical infrastructure.
Deployed inside your cloud VPC (AWS, GCP, Azure, or a private server). Your data, your network, your billing — I set it up and hand over the keys.
Physically isolated deployment. No network interface. Model loaded onto hardened hardware delivered to your facility. Classified-environment grade.
In Production
A sales-team client had 200+ calls per day. Managers could review 12. The other 188 were invisible — compliance gaps, objection patterns, coaching opportunities.
I trained a voice model on 3 months of their call recordings. It now audits every call in real-time, scores it against their framework, and flags the top 5 for human review. Managers went from 6% call visibility to 100%.
The model speaks their scoring language. It knows their objection types, their product terms, their compliance red-lines. No generic AI does this out of the box.
"Meet is the Agentic Automation Genius. Myself being in the IT and service industry since long, I've seen very few people who solve problems at scale like him. His ability to understand and process what we were dictating is amazing — he asks minimal questions and still delivers exactly what was in my mind."
Ready to Start
One message. A paragraph about the problem you're trying to solve. I'll reply with what's possible, what it takes, and what it costs — or tell you it's not the right fit.
No discovery invoice. No deck. One reply — scope, fit, and next step.