AI for Deals That Stays Confidential
Run proposals, competitive analysis, and partnership reviews on hardware in your office. Deal intelligence stays private, at a fixed cost.
Your Deal Data, Your Hardware
Pipeline forecasts, pricing strategies, and competitive positioning are too valuable to expose. On-premises AI keeps them on hardware in your office, behind your firewall, under your control.
Confidentiality and Competitive Edge
Deal Intelligence Privacy
Pipeline data, valuation models, and negotiation positions never reach a cloud provider. Your deal strategy stays inside your organization.
Competitive Analysis Security
Competitor research stays on-premises. No third party can see which companies you're evaluating or what conclusions you've drawn.
Partnership Terms Confidentiality
MOU terms, revenue shares, and joint venture details stay inside your network. Partnership negotiations stay confidential at every stage.
Proposal and Bid Security
RFP responses and pricing strategies never reach AI providers. Your bid intelligence stays exclusively yours.
Cloud AI Risks for Business Development
Training Data Leakage
Your deal strategies could train models that competitors also query, turning proprietary insights into shared intelligence.
Per-Query Cost Friction
Per-token pricing forces BD teams to ration queries. Critical analysis gets skipped and proposal quality suffers.
Multi-Party NDAs
Sending counterparty data through cloud AI may violate NDA terms that restrict sharing with third-party services.
Audit and Compliance Gaps
Cloud AI creates uncontrolled data flows you can't audit. You can't prove compliance when deal data traverses external infrastructure.
Top 10 Ways Faraday Helps Business Development
- Proposal and RFP Writing — Generate proposals using your win themes without exposing them to the cloud
- Lead Research and Qualification — Analyze leads and financials at unlimited volume, no external APIs
- Competitive Intelligence — Synthesize competitor data with methods and conclusions kept private
- Partnership Evaluation — Assess partners using your criteria, all data processed on-premises
- Financial Modeling Assistance — Build revenue projections without sending financial data to cloud providers
- Meeting Preparation — Generate briefings from CRM data that never leaves your network
- Contract Review Support — Compare contract terms against standard positions, processed locally
- Market Entry Analysis — Evaluate new markets without sharing expansion plans with cloud providers
- CRM Data Enrichment — Enrich CRM records with AI insights at unlimited volume, no per-record fees
- Post-Mortem Analysis — Identify patterns in won and lost deals, keeping data confidential
On-Premises vs. Cloud AI
| Consideration | Cloud AI for BD | Faraday On-Premises |
|---|---|---|
| Pricing model | Per-token billing | $299 / $599 / $999 a month includes hardware, models and support |
| Data location | Deal data in the cloud | Deal intelligence stays local |
| Usage limits | Limited by subscription tier | Unlimited queries |
| Cost predictability | Unpredictable monthly costs | Predictable annual cost |
Frequently Asked Questions
Does using ChatGPT on counterparty data violate an NDA?
It can. Many NDAs restrict sharing confidential information with third parties, and a cloud AI service is a third party that receives every prompt. Running the model on-premises with Faraday Machines means counterparty data, pricing and partnership terms stay on hardware inside your network, so no outside AI provider ever receives them. Check each agreement's wording, but on-premises processing removes the third-party transfer itself.
How much does on-premises AI cost for a 15-person business development team?
A team of 10–19 people fits Faraday Machines' Growth tier: one Mac Studio M5 Ultra with 256 GB of unified memory for $599 a month on a 36-month plan ($21,564 over the term), including the hardware, updates, maintenance and support. There are no per-seat or per-query charges, so the whole team can research leads and draft proposals without rationing queries. Teams of 2–9 fit the $299-a-month Starter tier, and 20–29 people the $999-a-month Scale tier.
Which AI model is best for writing proposals and RFP responses privately?
GLM-5.3-Flash is a strong default for proposal writing, document analysis and comparing contract terms, and it runs on Faraday Machines' Growth tier as a compressed 1–2-bit build, or at 4-bit on Scale. For very long inputs, such as a full RFP package with attachments, DeepSeek V4.1 Flash supports a 1-million-token context window and runs on the Scale tier as a compressed 1–3-bit build. Qwen3.8-27B is the fastest option for quick drafts and fits a single Starter unit.
Can we audit who used AI on a confidential deal?
Yes. Faraday Machines systems include audit logging, and because the model runs on hardware in your office, those logs stay in your systems rather than with a cloud vendor. That closes the gap cloud AI creates, where deal data flows through external infrastructure you cannot inspect. User access is managed through the system's dashboard, so you decide which team members can use it.
What happens to our deal data after we use on-premises AI?
It stays on the Faraday Machines hardware in your office. Prompts, proposals and pipeline data are processed locally and never sent to a model provider, so they cannot be used to train models that competitors also query. Data is protected with end-to-end encryption, and because you control the hardware, retention and deletion follow your own policies rather than a vendor's.
Keep Your Deal Intelligence Private
AI for business development on hardware you control. No deal data in the cloud, no per-query costs, unlimited usage at a fixed price.
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