Your AI Gets Smarter Every Month

Upload your business data. We bake a custom AI model trained on YOUR knowledge. Every month, it learns from your corrections and improves — until it handles 90% of your operations without mistakes.

A company's knowledge being forged into a custom AI model

How RdyForge Works

From interview to deployment in 4 steps

5-stage pipeline: assets ingested, knowledge extracted, RAG vector memory, SFT/DPO training, custom LLM
01

AI Discovery Interview

Our AI interviews your team, extracts domain knowledge, processes your documents, videos, and workflows into a structured Knowledge Bank.

02

REAP & Abliterate

We prune a frontier model to fit your hardware, then rebrand it as your company's AI — not a wrapper on someone else's model.

03

Train & Improve

SFT on your knowledge, iterative DPO with Claude-as-judge. Your model improves round over round. You review and approve every change.

04

Deliver & Deploy

Quantized model files in your format (GGUF, NVFP4, AWQ) plus a turnkey deployment kit. You own the model. We don't host inference.

How Your Knowledge Becomes Your Model

Everything you share flows through one pipeline — into a model that's yours

01

Assets ingested

Upload documents, data, images, and conversations.

02

Knowledge extracted

Our AI distills structured knowledge & insights.

03

RAG memory

Embedded into your private Qdrant / ONE-PEACE vector memory.

04

SFT / DPO training

Baked into your model's weights, round over round.

05

Your custom LLM

A model that knows your business — on your hardware.

Your AI Improves Every Month

Every correction you make trains your model to be better at YOUR specific work

Month 165%

Your model knows your products, policies, and brand voice. Handles routine questions well.

Month 380%

500+ corrections absorbed. Handles edge cases your team flagged. Fewer escalations to humans.

Month 690%

Your AI handles 90% of operations independently. It knows YOUR customers, YOUR workflows, YOUR standards.

Month 1295%

Nearly autonomous. New staff learn from YOUR AI. It's become institutional knowledge that never quits.

How It Works

1

Your team flags incorrect responses

2

Our AI generates improved training pairs

3

Model is re-baked with corrections

4

Updated model deployed — same hardware, smarter AI

6 months of corrections can't be downloaded from ChatGPT. Your improvement history is YOUR competitive advantage.

Which Tier Is Right For You?

Most businesses start with Standard — one GPU card, 50 concurrent users, and it gets smarter every month.

Recommended for most businesses

35B model on a single RTX PRO 6000. Handles FAQ, customer support, operations, scheduling. With the improvement loop, it reaches 90% accuracy on YOUR tasks within 6 months.

Need deeper analysis or 128K+ context? Upgrade to Pro anytime — your Knowledge Bank transfers instantly.

Cost Comparison: RdyForge vs Public API

Based on 50 queries/day per employee, ~1.4M tokens/month

Team SizeGPT-4o AnnualRdyForge Year 1Year 2+
5$610$5,899$600
10$1,220$5,899$600
20$2,440$5,899$600
50$6,102$5,899$600
100$12,204$5,899$600

Break-even at ~20 users. After that, every additional user is essentially free.

Honest guidance: For teams under 20, public APIs may be cheaper. RdyForge wins on privacy, customization, and the improvement loop — not raw cost.

Why a Custom Model?

See what changes when your AI truly understands your business

Data privacy comparison

Your Data Never Leaves

With cloud AI (ChatGPT, Claude), every customer conversation, internal document, and trade secret is sent to a third-party server. With RdyForge, your model runs on YOUR hardware. Your proprietary pricing strategies, customer databases, internal SOPs, and competitive intelligence never leave your network.

Example: A law firm's case files, a factory's quality inspection standards, a hotel's VIP guest preferences — all stay on-premises.

10x Faster Responses

Cloud APIs add 500ms–2s latency per request (network round-trip to US/EU data centers). A local model on your own GPU responds in <100ms. For customer-facing chatbots, POS systems, and real-time decision-making, this difference is night and day.

Example: A restaurant's AI menu recommendation responds instantly to each table, even without internet. A logistics AI optimizes routes in real-time without cloud dependency.

It IS Your Company's AI

Not 'powered by OpenAI' or 'built on Claude'. When customers interact with your AI, it identifies as YOUR company. It knows your products by name, speaks your brand voice, follows your escalation rules. It's trained on your knowledge, not generic internet data.

Example: 'Hi, I'm Acme's AI assistant. Our return policy for VIP members is 60 days.' — not 'As an AI language model, I don't have access to specific company policies.'

Unlimited Use, Zero Token Fees

Cloud AI starts cheap — ¥1,200/month for basic usage. But costs grow as you scale: more departments, more agents, more queries, longer conversations. With RdyForge, your model runs on your hardware. Once deployed, inference is free forever — no matter how much you use it. The breakeven point is typically 6-12 months, then it's pure savings.

Example: 5,000 queries/day on Alibaba Qwen costs ~¥1,200/month. Manageable. But scale to 5 departments (50,000 queries/day) = ¥12,000/month = ¥144,000/year. Add a RdyForge Standard model (¥35,000 setup + ¥1,400/month): you break even at month 8, then save ¥5,000+/month forever.

What's In Your Model

Three layers working together — each serves a different purpose

Baked In (Permanent)

Written into the model's DNA. Cannot be changed without re-baking.

  • Your company identity — "Who are you?" always answers with YOUR company name
  • Core domain knowledge from your training data
  • Response tone, style, and brand voice
  • Safety rules and compliance guardrails

LoRA Adapters (Swappable)

Specialized skills baked into your model during each improvement cycle.

  • Industry expertise (accounting, legal, finance, medical)
  • Tool calling and API integration patterns
  • Language and regional adaptations
  • All improvements permanently baked in — nothing removable

RAG Knowledge Base (Instant Updates)

Live documents your model can reference. Update anytime, no training required.

  • Product catalogs, pricing sheets, inventory
  • Policy documents, SOPs, employee handbooks
  • Customer records, order history, CRM data
  • Any content that changes frequently

The bake fee covers the permanent layer. LoRA adapters are included in your subscription. RAG setup is part of onboarding.

Cloud AI vs RdyForge

What you give up with cloud APIs — and what you gain with your own model

Speed comparison: cloud vs local
Cloud AI (ChatGPT, etc.)
RdyForge Custom Model
Data sent to US/EU servers
Data stays on your hardware
500ms–2s response latency
<100ms local response
Generic knowledge, no company context
Trained on YOUR business knowledge
'Powered by OpenAI' branding
YOUR company's branded AI
Pay per token — the more you use AI, the higher the bill. Heavy usage = expensive
Unlimited free inference on your hardware — use it 24/7, zero per-token cost
Vendor can change models/pricing anytime
You own the model files forever
Same model for every company
Model improves with YOUR feedback
API tokens are expensive — like ordering lobster every meal
Local model = unlimited lobster, already paid for. Eat as much as you want

Who Uses RdyForge?

Real businesses across industries

Industry use cases

Customer Service

AI agents that know your products, policies, and customer history. Handle 80%+ of inquiries without human intervention. Speak your brand voice in Cantonese, Mandarin, and English.

Manufacturing & QC

AI quality inspection powered by your factory's standards. Upload your defect catalogs and SOPs — the model learns what 'acceptable' means for YOUR products, not generic benchmarks.

Hospitality

AI concierge that knows your rooms, restaurants, amenities, and local recommendations. Handles bookings, upgrades, and special requests in the guest's language.

Real Estate

AI property advisor trained on your listings, pricing history, neighborhood data, and client preferences. Matches buyers to properties using YOUR market expertise.

Food & Beverage

AI menu recommendations based on your dishes, ingredients, dietary options, and seasonal specials. Works offline on a tablet at each table — no cloud dependency.

Logistics

AI route optimization and dispatch trained on your delivery zones, traffic patterns, and customer time preferences. Runs locally on your fleet management system.

Pricing

Setup fee + monthly subscription. No hidden costs.

Lite

Small models for fast agents

US$99/mo

Setup: US$1,000

per bake: US$50

RTX 5090 (32GB)

Up to 2,000 knowledge items · 5 GB uploads

5-10 concurrent users

RTX 5090 (32GB)

Popular

Standard

Deeper reasoning for SMBs

US$199/mo

Setup: US$5,000

per bake: US$100

RTX 5090 (32GB)

Up to 5,000 knowledge items · 25 GB uploads

20-50 concurrent users

RTX PRO 6000 (96GB)

Pro

Enterprise-grade intelligence

US$399/mo

Setup: US$15,000

per bake: US$250

RTX PRO 6000 (96GB)

Up to 20,000 knowledge items · 100 GB uploads

50-200 concurrent users

2x RTX PRO 6000 (192GB)

Ultra

Maximum capability

US$699/mo

Setup: US$30,000

per bake: US$500

Multi-GPU / Cloud

Unlimited knowledge items · 500 GB uploads

200+ concurrent users

4x RTX PRO 6000 (384GB)

Flat-Rate Pricing: Know Your Cost Before You Click

Other platforms charge per-GPU-hour — you never know the final bill until it's done. RdyForge charges a flat fee per bake. No surprises.

Typical Cloud Fine-Tuning

  • Charged per GPU-hour (¥30-150/hr on Alibaba PAI)
  • Training a 35B model: 2-8 hrs = unknown cost
  • Failed run? You still pay for the GPU time
  • Data prep, evaluation, re-runs all extra
  • Final bill: often 2-3x the estimate

RdyForge Flat Rate

  • One price per bake — shown before you click
  • Training, evaluation, validation all included
  • Failed validation? We re-run at no extra cost
  • Claude-powered DPO improvement loop included
  • Budget with confidence — no surprise invoices

Example: A Standard tier client bakes monthly. Cloud fine-tuning on Alibaba PAI: ¥800-3,000/session (varies by training duration). RdyForge: ¥700/bake (fixed, includes validation). Over 12 months: predictable ¥8,400 vs unpredictable ¥9,600-36,000.

What's Included

Documents and media flowing into Knowledge Bank crystal, outputting custom AI
Per-client abliterated base model
AI Discovery Interview (persistent, multi-session)
Knowledge Bank with auto-categorization
Document, image & video upload processing
Iterative DPO improvement loop
Red-team safety evaluation
Multi-format delivery (GGUF, NVFP4, AWQ, GPTQ, BF16)
Compliance gate with digital signature
Version history & one-click rollback

Quality Guarantee

Every model passes 6 automated checks before delivery. If it doesn't pass, we don't ship.

01

Regression Testing

50 sample queries from your Knowledge Bank. We verify the model still answers correctly after every bake — no silent regressions.

02

Identity Verification

"Who are you?" must return your company name and brand voice. Never the base model's identity. Never "I'm an AI language model."

03

Safety & Compliance

No harmful outputs. Required disclaimers present. Compliance rules from your signed agreement are enforced in every response.

04

Red-Team Adversarial Testing

We actively try to break your model — brand consistency probes, knowledge boundary tests, prompt injection attempts. Every break becomes a training fix.

05

Hallucination Detection

Model responses are checked against your Knowledge Bank. If it makes up facts not in your data, the bake is blocked. Target: <3% hallucination rate.

06

One-Click Rollback

Something feels off after deployment? Instantly revert to any of your last 5 baked versions. Compare any two versions side-by-side before deciding.

If any check fails, we re-run the training at no extra cost. You only pay for a bake that passes.

Frequently Asked Questions

Common questions about RdyForge

What does the monthly subscription cover?
Your monthly subscription maintains your Knowledge Bank — all the company knowledge, documents, interview data, and training history we've collected. This allows future bakes to build on everything before, making each iteration smarter. It also includes dashboard access, storage, and support.
What happens if I cancel my subscription?
If you cancel, your Knowledge Bank data is archived for 90 days. Your model files are yours to keep forever — they run on your hardware independently. However, if you want to bake again later, you'll need to re-subscribe and pay a new setup fee to rebuild the Knowledge Bank from scratch.
Why is there a setup fee AND a monthly fee?
The setup fee covers the one-time heavy compute: REAP pruning your base model, abliterating it for your brand, and the first training cycle. This is GPU-intensive work. The monthly fee is much smaller — it covers ongoing storage of your Knowledge Bank, dashboard access, and the ability to do incremental bakes without starting over.
Do I own the model?
Yes, completely. We deliver the model files to you. You can run them on your own hardware, copy them, back them up. We don't host inference — the model is yours. We just keep building and improving it for you.
Can I upgrade tiers later?
Yes. Your Knowledge Bank transfers between tiers — only the base model changes. Upgrading means a new setup fee for the larger model, but all your accumulated knowledge carries over.
What formats do you deliver?
We deliver in whatever format your hardware needs: GGUF (for Ollama/llama.cpp), NVFP4 (for NVIDIA vLLM), AWQ, GPTQ, or full BF16. Each delivery includes a docker-compose deployment kit, health check scripts, and documentation.
How long does the first model take?
From first interview to model delivery: typically 1-2 weeks. The AI interview takes 2-3 sessions. Document processing is automated. The actual training takes 1-6 hours depending on model size. Most of the time is spent gathering your knowledge, not computing.
Can I pause my subscription?
You can cancel anytime. Your model files are yours forever — they keep running on your hardware. However, your Knowledge Bank (training data, interview history, corrections, improvement logs) requires active storage and maintenance. After cancellation, we archive it for 90 days. To bake again after that, you'd need a new setup fee to rebuild the Knowledge Bank. Think of it like a gym membership with a personal locker — canceling means we clear your locker after 90 days.
I don't have GPU hardware yet. Can you help?
Yes. We provide server and workstation hardware procurement, setup, and configuration as an additional service. We'll recommend the right GPU hardware for your tier and usage, source it, configure it, and deploy your model on it. Contact us for a case-by-case quote.
How does the improvement loop work?
Every month, your team flags responses that weren't quite right. Our system automatically converts these corrections into training data, re-bakes your model with the improvements, and deploys the updated version to your hardware. Each cycle makes your model more accurate at YOUR specific tasks. Think of it like training a new employee — except this one never forgets what it learned.
Which tier should I start with?
Most businesses should start with Standard (35B model). It handles FAQ, customer support, scheduling, data lookup, and general operations at 88-92% accuracy — and improves to 90%+ within 6 months with the correction loop. Only upgrade to Pro if you need complex multi-step reasoning, deep analysis, or 128K+ context. Your Knowledge Bank transfers instantly between tiers.
How does my model compare to ChatGPT after 6 months?
After 6 months of corrections, your RdyForge model will outperform ChatGPT on YOUR specific tasks — because it's been trained on YOUR data and improved by YOUR team's feedback. ChatGPT is better at general knowledge and creative tasks. But for your products, your policies, your customers, and your workflows — your custom model wins. And it runs locally with no per-token cost.
Why do I need to re-bake to add new knowledge?
Our models use NVFP4 — NVIDIA's fastest 4-bit format, optimized for Blackwell GPUs. It delivers 10-15% faster responses than alternatives. The trade-off: new knowledge must be baked directly into the model weights, not bolted on as a removable adapter. This is actually a feature — everything your AI knows is permanently part of its DNA. It can't accidentally lose a skill, and there are no adapter loading delays. Your monthly subscription includes re-bakes whenever you need to add or update knowledge.

Ready to build your AI?

Contact us to get started. First interview is free.