Nari
Knowledge Graph Intelligence. Every brand, supplier, material, and market in global fashion. Mapped, connected, queryable. Ask about any entity. Get the structure around it.
Read the method cardFashion's knowledge has always lived in heads, not books. Apshan builds the library. Find an expert. Verify a source. Run an experiment. Not three steps. One answer.

The answers exist. In someone's head, in a lab report, in a trade show conversation from 2019. Never in one place. Never queryable.
What is the mechanical difference between Giza 45 and Giza 87 at 80s count?
How does pre-mercerization affect tensile strength in this construction?
Which finishing treatments cause premature fibre fatigue at commercial wash cycles?
What determines hand feel in 400TC percale versus 400TC sateen from the same mill?
EU-incorporated, EU-resident, EU-governed.
Limited Risk classification under the EU AI Act.
Queries kept inside your session. Sources cited on every output.
Quarterly compliance review through Aug 2, 2026.
Knowledge Graph Intelligence. Every brand, supplier, material, and market in global fashion. Mapped, connected, queryable. Ask about any entity. Get the structure around it.
Read the method cardCentralized access to the signals fashion is downstream of. Image flows, influencer activations, sentiment, runway frequency, resale velocity, weather, satellite, geo, finance, news. Structured and queryable from your AI assistant via Model Context Protocol. A signal field you can read.
Read the method cardBrand-aware image generation. Campaign visuals, lookbooks, and e-commerce, generated against your brand's aesthetic. Origin trail built in. Stays with the image after upload, screenshot, or repost.
Read the method cardFashion is one of the most context-dependent industries in the world. A silhouette in Seoul this winter is a function of cotton prices in Texas, a political shift in Bangladesh, a weather anomaly off the coast of Peru.
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Fashion has always been read from the inside. Runways, retail, sentiment. Apshan reads it from the outside. The intelligence sits at the intersection of both.
12 source families · all public, partnered, or licensed · cited per output.
How we think about itFashion cannot be understood from fashion data alone.
It sits at the intersection of climate, politics, economics, culture, and trade. Apshan reads all of them: weather forecasting, satellite metadata, geo data, political news, financial markets. Because fashion is the product of all of them.
Fashion finally has its Bloomberg.
Every other industry has structured intelligence infrastructure. Fashion never did. Now it does.
The answer exists before the question.
For the first time in fashion, knowledge is built before it is needed. Not assembled when someone asks.
The industry's knowledge stops dying with its experts.
What lived in heads and networks gets structured, sourced, and preserved in a knowledge graph that grows continuously.
Fashion moves on signal, not on consensus.
The gap between what is happening and what gets reported closes. You see it before it becomes a trend deck.
The supply chain becomes legible.
The relationships between materials, mills, brands, and markets are connected and navigable for the first time.
Trend intelligence is one of many things Apshan makes possible. Not the purpose. Apshan tells you why trends form: the supply chain signals, cultural forces, and market data underneath them. The goal is structured fashion intelligence, not trend reports.
Apshan connects information that has never been connected before. Raw text, expert knowledge, market signals, supply chain data. Structured and linked so any query can trace through the relationships. Not a search engine. Not a report. A connected intelligence layer built specifically for fashion.
Apshan ships as an MCP server. We integrate with selected AI providers. Those we believe are best fitted to fashion intelligence work, not every MCP-compatible client.
We believe fashion intelligence is infrastructure, not software. The next generation lives where work happens. Inside the AI tools your team already uses. Apshan ships as a collaborative layer agnostic of product, not as another tool to log into.
Every answer traces to its source. We aggregate raw information from across the web and from industry experts. Our biggest work is connecting the bridges: linking raw information to other raw information, structuring it precisely so your queries reach what you actually need.
No. We source from across the web and from direct expert knowledge. But the real work happens after: connecting the bridges between raw information, structuring it so it is retrievable at the depth you need. A search engine finds. Apshan understands.
The pipelines run continuously. The intelligence is not a snapshot. It is updated as new signals arrive. By the time you ask, the answer has already been built.
No. It removes the research bottleneck. Your team stops spending weeks synthesizing scattered information and starts making decisions with sourced intelligence. Expertise still directs the questions.
Phase 1 is invite-only for professional teams across sourcing, product development, brand strategy, and sustainability. Regardless of company size.
We believe the European Union holds the strictest standards for data sovereignty. That protects you, your team, and us. Your queries, your research, and our infrastructure operate under the strongest data governance framework available.
Paris, France. EU-incorporated, EU-resident, EU-governed.
Your queries remain within EU infrastructure under GDPR. We do not use them to train models, we do not sell them, and we do not share them with other Apshan users. All processing operates under European data sovereignty law. The strictest standard available.
Expert contributions are governed by explicit consent and contribution agreements. Contributors retain attribution rights, and we never use individual expert input to train models without permission. Aggregate, anonymized signals may inform Apshan outputs.
Apshan doesn't compete with generic LLMs. It extends them. We provide the structured fashion intelligence they can't generate on their own: sourced, typed, linked. Plug Apshan in and any AI client gains fashion-native capabilities it didn't have before.
You are first. Apshan launches invite-only. No commitments, no payment. Just a signal that you want in.
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