01
Centralize the business context
Keep assumptions, evidence, strategy and decisions in one structured system instead of recreating the company inside every new prompt, document and agent.
IP protection & non-disclosing AI
Your business strategy should not become someone else’s training data.
siift is a truly private, non-disclosing AI platform built to help founders work with sensitive business context—without a business model that depends on monetizing it.
siift
your master context
ideas · evidence · strategy
private by design
01
no third-party training
your IP stays out of model training
02
controlled orchestration
share only what the task needs
03
aligned economics
software & compute—not your data
01
no third-party model training on your IP
02
enterprise-grade cloud infrastructure
03
token economics aligned with founders
privacy is an operating model
The value inside an AI tool is often the context you give it.
Founders do not paste generic information into AI. They share unannounced products, customer research, technical approaches, pricing logic, market weaknesses, partnership plans and the reasoning behind their next move. That context can be more strategically valuable than any single document. siift is designed to organize and use it without making disclosure the hidden price of better assistance.
~Privacy cannot be reduced to a lock icon. It depends on data boundaries, model usage, connected tools and whether the provider profits from your information.
how it works
Keep sensitive context useful—without spreading it everywhere
siift creates a private operating layer for the business, reducing the need to repeatedly copy core IP into disconnected tools and conversations.
02
Apply explicit trust boundaries
siift is built not to train third-party models on your IP. Sensitive context is handled as your business material—not as an input to someone else’s model-development pipeline.
03
Orchestrate with purpose
Use connectors and specialized tools from a controlled command centre, limiting unnecessary disclosure while bringing useful results back into the protected business context.
the world’s first non-disclosing AI
Privacy designed around founder incentives.
siift makes healthy margins on compute tokens. That model is intentionally simple: the business succeeds when founders get useful work done—not when their data is repackaged, sold or used to train third-party models.
Your IP is not third-party training material
siift does not train third-party models on your business ideas, strategy or other proprietary context.
Aligned token business model
Revenue comes from providing useful compute and software, creating no need to monetize the confidential context founders bring to the platform.
Hardened cloud foundation
Sensitive business context is protected on enterprise-grade cloud infrastructure designed for secure, reliable operation.
Less copy-and-paste sprawl
A persistent master context reduces the need to disclose the same core strategy across a growing collection of unconnected AI chats.
Purposeful tool access
siift coordinates specialized services from the top of the toolchain, helping founders choose what context a task actually requires.
Clear privacy posture
Non-disclosing AI is a direct product commitment: founder information is not the raw material for an unrelated advertising or model-training business.
why siift
Questions every founder should ask an AI provider.
‘Private’ can mean different things. Evaluate the full path your information takes—not only whether the connection is encrypted.
decision point
disconnected AI
with siift
model training
−Can prompts or outputs improve third-party models?
+siift does not train third-party models on your IP
business model
−Does the provider benefit from monetizing user data?
+siift earns from software and compute usage
context sprawl
−Must strategy be copied into every new tool and chat?
+A master context limits unnecessary repetition and exposure
control
−Is sensitive context sent wherever an agent decides?
+Tool orchestration starts from explicit business purpose
when to use it
For the work founders cannot make public yet
01
stealth startup
Develop the strategy before the announcement
Work through positioning, market entry and product decisions while the underlying business is still confidential.
02
patent-pending
Keep technical and commercial context together
Connect the problem, market evidence and business logic around proprietary work without treating it as disposable prompt content.
03
sensitive growth
Analyze customers, pricing and partnerships with care
Use high-value operating context without scattering confidential details across general-purpose conversations.
frequently asked
AI intellectual property protection, answered
Clear answers for founders deciding how—and where—to use AI.
What is intellectual property leakage in AI?
AI intellectual property leakage is the unintended exposure, reuse or disclosure of proprietary information shared with an AI system. Risk can arise from provider training policies, retention, human access, connected tools, account controls or simply copying sensitive context across too many services.
Does siift train AI models on my business IP?
siift does not train third-party models on your business ideas, strategy or proprietary context. The platform is designed to use your information to serve your work—not to turn it into training material for someone else’s model.
What does ‘non-disclosing AI’ mean?
Non-disclosing AI is siift’s term for an AI product designed around clear limits on how founder information is used and shared. It combines a no-third-party-training commitment with secure infrastructure, controlled orchestration and a business model that does not depend on selling user data.
Is any AI platform completely risk-free?
No. Security is a system, not a guarantee, and founders should still apply sensible access controls, data-minimization practices and legal safeguards. siift is designed to reduce unnecessary disclosure and align its product incentives with the confidentiality of founder information.
Does non-disclosing AI replace an NDA or legal IP protection?
No. Product privacy, contracts, patents, trade-secret practices and internal access controls solve different parts of the problem. siift’s privacy posture helps reduce operational exposure; qualified legal advice may still be necessary for formal IP protection.
Build with AI. Keep the business yours.
Organize sensitive context, reduce unnecessary disclosure & move with confidence.