Your Data.
Your Model.
Custom AI built on your knowledge — RAG systems, fine-tuned models, and private deployments your competitors can't copy and your vendors can't take away.
ChatGPT doesn't know your business.
Off-the-shelf AI answers from the internet's average, not your reality. The moment you need it to know your contracts, your product, your rules — you need a model built on your data, measured on your cases, running where you control it.
✕It makes things up
Generic models guess confidently. In your operations, a confident guess is a liability.
✕Your data leaves the building
Pasting sensitive documents into public AI tools is a breach waiting to be written up.
✕You rent, they change
Public models update overnight and behave differently. Your workflows shouldn't depend on someone else's roadmap.
✕No way to measure
Without benchmarks on your real cases, "it seems good" is the only quality bar. That's not a bar.
Six capabilities. One discipline.
Every engagement is assembled from the same six building blocks — scoped to your use case, benchmarked on your data, and delivered as production infrastructure you own.
RAG Knowledge Systems
AI that answers from your documents, with citations — not from the internet's guesses.
Fine-Tuning
Models trained on your examples until they write, classify, and decide like your best person.
Private & Self-Hosted Deploy
Your model on your infrastructure — VPC or on-prem. Data never leaves.
Benchmarking & Evals
Proof before production: accuracy, latency, and cost measured against your real cases.
API Integration
The model wired into your product, CRM, or pipeline as a clean, documented endpoint.
Monitoring & Guardrails
Drift detection, output filtering, and usage analytics once it's live.
Scoped. Built. Proven.
Scope & Data Audit
We map your use case, review your data, and define the benchmark that will prove it works. Fixed quote before anything is built.
Build & Benchmark
We build the system and measure it against your real cases — accuracy, latency, cost. You see the numbers before go-live.
Deploy & Handover
Deployed to your infrastructure, wired into your stack, handed over with documentation and a walkthrough. It's yours.
Three packages. Fixed price. Yours to own.
Knowledge Assistant
“Our team wastes hours digging through docs.”
For ops, support, and internal teams.
- RAG knowledge base built on your documents — up to 500 pages / 50 files (PDF, Word, Notion, GDrive, web pages)
- Answers with source citations — every response links back to the exact document and section
- 1 interface of your choice: web chat, Slack, or WhatsApp
- Document ingestion pipeline — drop in new files, the knowledge base updates itself
- Access scoping — control which teams see which knowledge
- Eval report on 50 of your real questions, with accuracy scores before go-live
- Clean, documented API endpoint for your own tools
- Handover walkthrough + admin guide
- 30 days of post-launch fixes included
Domain Expert Model
“Generic AI doesn't write, classify, or decide like we do.”
For teams with a repeatable expert task at volume.
- Fine-tuned model trained on your examples — up to 1,000 training samples prepared and cleaned by us
- Data preparation included — we turn your raw emails, tickets, or documents into a training set
- Side-by-side benchmark vs. the base model on 100 of your real cases — accuracy, tone, and cost per task
- Versioned model weights delivered to your account — yours, portable, re-trainable
- Task guardrails — output format enforcement, forbidden-content rules, confidence thresholds
- 1 workflow integration: wired into your CRM, helpdesk, pipeline, or API — up to 2 endpoints
- Cost-per-request optimization — right-sized model so volume doesn't bankrupt you
- Retraining playbook — documented process for improving the model as you collect more examples
- Handover walkthrough + 30 days of post-launch fixes
Private AI Stack
“Our data can't leave our walls.”
For legal, healthcare, finance, and security-conscious teams.
- Self-hosted or VPC deployment on your cloud (AWS, Azure, GCP) or on-prem hardware — data never leaves your infrastructure
- Open-weight model setup (Llama, Mistral, or equivalent) sized to your hardware and workload
- Includes a full RAG knowledge base (Knowledge Assistant scope) running privately — up to 500 pages
- Guardrails layer — output filtering, PII redaction, forbidden-topic rules
- Role-based access control + full audit logging of every query and answer
- Monitoring stack — usage analytics, latency and drift dashboards, alerting
- Load-tested for your team size — up to 50 concurrent users
- Infrastructure-as-code delivery — your team can redeploy it without us
- Team handover session + runbook, 30 days of post-launch fixes
Optional care plan — $400/mo: monitoring, re-indexing, model updates, and eval reruns. All packages.
Mixed needs? Every engagement is scoped from the same six building blocks. Book a call and we'll shape it.
Generic AI vs. a model built for you.
| Generic AI tools | HIP Model Development | |
|---|---|---|
| Knows your business | Internet averages | Trained and grounded on your data |
| Answers you can trust | Confident guesses | Citations back to your documents |
| Your data | Leaves your walls | Stays in your infrastructure |
| Ownership | Rented, terms change | Code, weights, and pipelines — yours |
| Quality | "Seems good" | Benchmarked on your real cases |
| Cost at scale | Per-seat, forever | One build, optimized per-request |
The questions teams ask before building.
Do we really own it?+
Which AI models do you build on?+
Is our data safe during the build?+
How much data do we need for fine-tuning?+
How is this different from your AI Automations?+
What if generic ChatGPT is actually enough for us?+
What are the running costs after delivery?+
What happens after handover?+
Build AI your competitors can't copy.
Book a free 30-minute scoping call. We'll map your use case, audit your data, and quote a fixed price — or tell you generic tools are enough. No pressure, no pitch deck.
Prefer to speak with us directly?
If you have a quick question, need urgent help, or want to discuss your AI automation requirements before booking a meeting, you can call us now.
Call +1 (413) 728-1694