Skip to content
Model Development

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.

You own the code
Production-grade
Private by design
Why generic AI falls short

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.

What we build

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.

How it works

Scoped. Built. Proven.

01

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.

02

Build & Benchmark

We build the system and measure it against your real cases — accuracy, latency, cost. You see the numbers before go-live.

03

Deploy & Handover

Deployed to your infrastructure, wired into your stack, handed over with documentation and a walkthrough. It's yours.

Pick your use case

Three packages. Fixed price. Yours to own.

Starter

Knowledge Assistant

$1,500
2 weeks

“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
Start with Knowledge
Most popular
Popular

Domain Expert Model

$2,500
3–4 weeks

“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
Build your expert
Full control

Private AI Stack

$3,500
5–6 weeks

“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
Go private

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.

The difference

Generic AI vs. a model built for you.

Generic AI toolsHIP Model Development
Knows your businessInternet averagesTrained and grounded on your data
Answers you can trustConfident guessesCitations back to your documents
Your dataLeaves your wallsStays in your infrastructure
OwnershipRented, terms changeCode, weights, and pipelines — yours
Quality"Seems good"Benchmarked on your real cases
Cost at scalePer-seat, foreverOne build, optimized per-request
Common questions

The questions teams ask before building.

Do we really own it?+
Yes. The code, the pipelines, and any fine-tuned weights are delivered to your repositories and accounts. HIP retains only its reusable internal frameworks, which are licensed for your use — your deliverable never depends on us to keep running.
Which AI models do you build on?+
Whichever fits the job: OpenAI, Anthropic, or open-weight models like Llama and Mistral for private deployments. The scoping call settles it based on your accuracy, privacy, and cost requirements.
Is our data safe during the build?+
Yes. Your data stays in your accounts and infrastructure wherever possible, access is scoped and revocable, and we'll sign an NDA before seeing anything sensitive.
How much data do we need for fine-tuning?+
Less than you'd think. A few hundred quality examples often outperforms thousands of mediocre ones. If your data isn't ready, the audit in step one tells you exactly what's missing.
How is this different from your AI Automations?+
Automations are running systems that operate your business — calls, follow-ups, workflows. Model Development builds the intelligence itself: the model, the knowledge base, the reasoning. Automations often sit on top of what we build here.
What if generic ChatGPT is actually enough for us?+
Then we'll tell you on the scoping call and you'll save your money. This is for cases where accuracy, privacy, or domain depth genuinely demand custom work.
What are the running costs after delivery?+
Hosting and model usage run in your own accounts — typically $20–200/month depending on volume and deployment type. The scoping call gives you a concrete estimate before you commit.
What happens after handover?+
The system is yours and runs without us. Most teams add the $400/mo care plan for monitoring, re-indexing, and model updates — optional, cancel anytime.
Ready to build?

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