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For design teams

Runway analysis, built for design

Skip the weeks of scrolling. Open the season with a structured signal pack instead of a blank board.

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  • Color, silhouette, fabric, motif
  • Data-backed direction
  • Faster collection briefs
Max Mara · FW26 · Look 10

Max Mara · FW26

Pantone

Caramel Suede

17-1048 TCX

— On fashion design teams

"Designers should start the season with clear trend direction, relevant references, and tools to turn ideas into product."

01 — The pattern

Where fashion design teams lose time

  • Inspiration takes too many steps

    Designers often move between reports, saved images, boards, and internal notes before a clear direction is ready to use.

  • References that lose their context

    Saved images often travel without the show, season, look, color, or product context that made them useful.

  • Creative direction is hard to keep shared

    Clear seasonal direction works best when every team builds from the same layer of data, references, and inspiration.

  • AI outputs need fashion structure

    Prompt-only image tools can create visuals, but design teams need outputs grounded in garments, fabrics, silhouettes, and details.

02 — The workflow

From source to action, four steps

The same workflow runs across every team. The artifacts and language change with the role.

  1. 01

    Read the signal

    Capture runway, presentation, and street-level signal at the silhouette, color, fabric, print, and category level.

  2. 02

    Find the references

    Search by theme, visual similarity, or natural language to connect emerging directions with relevant looks, details, and design references.

  3. 03

    Generate direction

    Turn signal and references into AI-assisted concept variants grounded in real fashion structure.

  4. 04

    Align the team

    Pull everything into shared moodboards, comments, and exports the team and stakeholders can act on.

03 — Sample outputs

What design teams can act on

  • Color Intelligence

    Every garment is read through Pantone TCX color mapping, so teams can see which tones are rising across categories, designers, and product groups.

  • Silhouette shifts

    Fit, length, waist, shoulder, hem, volume, and proportion are broken down into attribute-level signals designers can use directly.

  • Fabric & Pattern Signals

    From leather, denim, satin, and organza to checks, florals, stripes, and animal prints — material and pattern movement is tracked across the season.

  • Thematic Understanding

    Identify the themes shaping the season, see the data behind them, and search thousands of runway looks through AI thematic search.

  • Brief-ready Direction

    Signals are turned into visual boards and clear direction notes your team can use in collection, product, and merchandising conversations.

04 — Use cases

Where runway intelligence supports your week

Use runway-backed insights across collection, buying, merchandising, campaign, and leadership conversations — without rebuilding the same research each time.

  • 01

    Season kickoff briefs

    Start the season with runway-backed colors, silhouettes, themes, and references — not a blank board.

  • 02

    Concept exploration

    Turn seasonal trend data into AI-assisted concept variations in Studio.

  • 03

    Creative direction reviews

    Align design, product, and leadership around the same data before direction is locked.

  • 04

    Trend validation

    Check whether a direction is isolated, recurring, or gaining momentum before your team builds around it.

  • 05

    Cross-category direction

    See how a color, silhouette, fabric, or theme translates across womenswear, menswear, accessories, and product groups.

  • 06

    Season archive access

    Explore past seasons, recurring brand codes, and runway references without rebuilding archive research from scratch.

— Methodology

Data-driven, fashion-native, collaborative

  1. 01

    Thousands of runway looks are structured into garment-level data, with every signal linked back to its show, season, designer, and image.

  2. 02

    Pattern recognition, not guesswork. T-Fashion compares signals across seasons, designers, categories, colors, fabrics, and silhouettes to show what is gaining or losing momentum.

  3. 03

    Fashion-native language. Each look is broken down into fashion attributes from category, silhouette, fabric, pattern, and motif to 2,400+ Pantone TCX color mappings.

  4. 04

    Collaborative decision layer. Teams work from the same layer of data, references, boards, and AI outputs without losing context.

FAQ

Common questions

What does T-Fashion do for fashion design teams?

T-Fashion gives design teams a single workflow from runway and street signal to collection direction - structured Fashion Week intelligence, visual search across runway and social imagery, AI-assisted concept generation, and shared moodboards, all in one workspace.

How does it fit into our existing design process?

Most teams use T-Fashion in the early-to-mid stages: trend research, reference collection, direction setting, and concept exploration. Outputs flow into your existing tech-pack and production tools.

Can the whole team work in the same workspace?

Yes. Workspaces are team-level by default, with shared boards, comments, and version history. Roles cover designers, design directors, merchandisers, and contributors.

Is this a replacement for trend forecasting subscriptions?

For many design teams, yes. T-Fashion combines signal capture, visual reference, and concept generation in one workflow.

What categories of fashion does T-Fashion cover?

Womenswear, menswear, kidswear, and most apparel categories - including accessories, footwear, and jewelry - across ready-to-wear and selected couture coverage.

Other teams

Same workflow, different lens

Get started

See your next season, structured

Bring an upcoming season or category. We will run a sample runway analysis and walk through how it slots into your design workflow.

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