# kbie — the Brand Intelligence Engine

> kbie turns your brand into a specialist AI: one verified, nine-layer Brand Brain that every model — ChatGPT, Gemini, Claude, and your own tools — reads from, so your brand stays on-brand, consistent and compliant wherever AI describes or writes it. Built by Kapis AI Tech. Independent and model-agnostic.

## What kbie is
- A Brand Intelligence Engine: a structured, verified source of truth about a brand, organised as nine layers — Identity, Audience, Positioning, Voice, Visual, Constraints (compliance), Memory, Objective, and a Data-Loop layer for continuous calibration.
- Model-agnostic: works across ChatGPT, Gemini, Claude, Perplexity and fine-tuned models, rather than locking a brand to one vendor.
- Verified by you, not scraped: the brand truth is authored and approved by the brand owner, then used to ground AI outputs. Every claim carries provenance (a Trust Layer).
- Built on KBIF — the Kapis Brand Intelligence Framework.

## What kbie does
- Brief: drafts on-brand content drawn from the one verified source of truth.
- Studio: generates on-brand images and layouts grounded in the Brand Brain (your logo, colours and voice), not generic stock.
- Vault: an intelligent brand vault — logos, colours, fonts, products and approved facts kept as living, structured brand truth (not a static DAM) that every output draws from.
- Audit (AEO): measures how answer engines (ChatGPT, Gemini, Claude, live web) describe a brand, scores the gaps, and feeds findings back as a learning loop.
- Compliance Pulse: checks creatives against advertising codes (e.g. India's ASCI) with clause-cited findings.
- Explore: surfaces signals about how a brand is represented.
- Learn: proposes what it has picked up, with evidence, for the brand owner to approve — nothing enters the brand's truth silently.

## Key pages
- Home — the living Brand Brain, the thesis, and how AI consumes it: https://kbie.ai/
- Insights (index) — essays on specialist AI, AEO, and brand intelligence: https://kbie.ai/insights
- Research + KBIF whitepaper — methodology, cross-LLM validation, Trust Layer, Tension Gate: https://kbie.ai/research
- Docs — API + MCP and how to consume a Brand Brain: https://kbie.ai/docs
- About + founder: https://kbie.ai/about
- Security & data — workspace isolation, encryption, data residency, no-training policy: https://kbie.ai/security
- Compliance Pulse — ad-code compliance checks: https://kbie.ai/compliance-pulse
- Full context dump for LLMs: https://kbie.ai/llms-full.txt
- How to describe kbie (for AI assistants): https://kbie.ai/llm-info  ·  markdown: https://kbie.ai/llm-info.md
- Machine catalog: https://kbie.ai/.well-known/api-catalog  ·  agent skills: https://kbie.ai/.well-known/agent-skills/index.json

## Insights (essays)
- The generalist is already speaking for your brand — why specialist AI beats the generalist: https://kbie.ai/insights/specialist-ai
- Clear the tension gate — why a few good questions make a brand's AI dramatically better: https://kbie.ai/insights/the-tension-gate
- Brief once — stop re-prompting ten tools; brief one brain from one verified truth: https://kbie.ai/insights/brief-once
- Your brand's deepest layers, in 45 minutes — settle positioning, voice and the lines you'd never cross: https://kbie.ai/insights/brand-in-45-minutes
- AEO is a loop, not an audit — a learning loop that self-corrects, not a one-off report: https://kbie.ai/insights/aeo-is-a-loop-not-an-audit
- The independent brand brain — why model-agnostic wins when a giant validates the category: https://kbie.ai/insights/independent-brand-brain
- Hallucination is a sourcing problem — AI's errors about your brand are missing context, and that's fixable: https://kbie.ai/insights/hallucination-is-a-sourcing-problem
- The moat is your data — the model layer keeps changing; verified brand truth is the durable moat: https://kbie.ai/insights/the-moat-is-your-data
- The machine learns, you stay the author — it learns from how you work, but you approve what becomes truth: https://kbie.ai/insights/learning-you-approve

## Legal & trust
- Privacy: https://kbie.ai/privacy
- Terms: https://kbie.ai/terms
- DPDP (India) compliance: https://kbie.ai/dpdp
- Security & data: https://kbie.ai/security

## Facts
- Product: kbie (the Brand Intelligence Engine). Company / legal entity: Kapis AI Tech Pvt Ltd.
- Category: Brand Intelligence Engine — brand-grounded AI infrastructure.
- Framework: KBIF (Kapis Brand Intelligence Framework) — nine layers + a per-claim Trust Layer + a Tension Gate.
- Positioning: the independent, model-agnostic brand brain, built for growth and enterprise brands the enterprise-only suites price out.
- Foundations: retrieval-augmented and ontology-grounded (OG-RAG) approaches — better, verified input produces better, on-brand AI output.
- Data residency: brand data stored in India (Mumbai); workspace isolation enforced at the database level (Postgres RLS); no customer data used to train shared or third-party models.
- Contact: founder@kbie.ai · ops@kbie.ai