Siift
AI business operating system that turns founder assumptions into evidence-backed strategy through a living, visual canvas.
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Product Overview
What is Siift?
Siift is a strategy and operations platform built specifically for people building a business, positioning itself as a 'Business OS' rather than another chatbot or one-shot plan generator. Instead of automating decisions away from founders, it acts as an 'executive filter' that organizes ideas, assumptions, evidence, and priorities into one Intelligent Business Canvas. Its patent-pending Truth Hierarchy separates what has been proven from what is still just a guess, while a persistent Master Context Engine keeps a company's history, positioning, and metrics available across every session instead of forcing repeated prompting. Siift is designed for early-stage founders, intrapreneurs, advisors, and product teams who want disciplined, data-grounded guidance on what to do next, and it operates as a privacy-first system that does not use customer data to train external models.
Key Features
Intelligent Business Canvas
A visual, always-current map of the business that connects decisions, actions, and metrics in one layered view instead of scattered chats and documents.
Truth Hierarchy Evidence System
Scores each business claim by strength of evidence, distinguishing validated facts from unproven assumptions so decisions rely on signal rather than confidence.
Master Context Engine
A persistent memory layer that retains company history, strategy rationale, and progress, eliminating the need to re-explain context in every session.
Five-Mode Workflow
Structured guidance across Ideate, Validate, Build, Go-To-Market, and Scale phases, each with dedicated frameworks and tools for that stage of growth.
Team and Stakeholder Alignment
Shares a single source of truth across founders, teammates, advisors, and investors so everyone works from the same validated strategy.
Non-Disclosing AI Architecture
A privacy-first design where founder data and intellectual property are never sold or used to train outside AI models.
Use Cases
- Business Idea Validation : Breaks a raw idea into testable assumptions, researches supporting evidence, and recommends the next validation experiment before capital is committed.
- Opportunity Discovery : Maps multiple business directions in parallel, surfacing overlooked possibilities and ranking them as evidence comes in.
- MVP and Product Planning : Connects validated customer value to prototype scope and technical strategy, helping teams build only what the evidence justifies.
- Go-To-Market Strategy : Builds a launch plan around an evidence-backed customer, offer, and channel hypothesis that updates as real conversion data arrives.
- Growth Bottleneck Diagnosis : Identifies the single constraint limiting a business's growth system and directs resources toward the highest-leverage fix.
- Cross-Team Strategic Alignment : Gives leadership, product teams, and advisors shared, auditable context so strategic decisions face fewer objections and less confusion.
FAQs
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