Treasure AI Signs Multiyear Agentic Marketing Deal With Portland Thorns and Portland Fire

Treasure AI has signed a multiyear partnership with RAJ Sports' Portland Thorns FC and Portland Fire, becoming the teams' Official Agentic Experience Platform and the Thorns' jersey sleeve patch partner. The deal turns two fast-growing women's sports franchises into a public testbed for governed AI agents that analyze fan data and activate personalized marketing. The agreement is a multiyear deal with financial terms undisclosed covering sponsorship assets and technology deployments across the NWSL and WNBA clubs. Treasure AI and the teams describe it as one of the first U.S. AI partnerships focused exclusively on women's professional sports, with the company also serving as a Community Game Changer Partner for both clubs and powering activations across matchday, broadcast and community programs. For Treasure AI, the timing is deliberate. The company rebranded from Treasure Data in April and launched Treasure AI Studio as part of an Agentic Experience Platform for marketers and data teams. Its product documentation says the platform runs a Customer Intelligence Loop across customer data, omnichannel messaging, personalization and AI, while connecting to data in Snowflake, Databricks, BigQuery or a company's own warehouse through a single control plane. Treasure AI says the business was built on a 14-year customer data platform operation with more than 400 enterprise customers and billions of unified profiles. The move also places Treasure AI in a contested martech lane: Salesforce has pitched AI marketing agents backed by shared customer context, while Databricks describes CustomerLake as an Agentic CDP embedded in its governed data platform. The immediate sports use case is segmentation and campaign activation. RAJ has found only 10% overlap between Thorns and Fire fans, creating an opening to tailor ticketing, merchandise, event and retention messages for different audiences. Treasure AI says planned programs include a Treasured Experience VIP night for families facing medical hardship, Fire vs. the World around the 2026 FIBA Women's World Cup, and presenting the Fire's postgame show on Rose City SportsNet. The company also cites 38% lower acquisition cost and 4.2x faster down-funnel progression from other business deployments, but those are company-reported performance claims, not Portland team results. The bet lands in a broader rush toward women's sports. Deloitte forecasts global women's elite sports revenue will reach at least $3 billion in 2026, with soccer and basketball projected as the largest categories and commercial revenue the biggest driver. Portland gives Treasure AI a particularly visible market: the Thorns said they led the NWSL in fan support for the ninth time in 2025, drawing 236,263 total fans and averaging 18,174 per match, while the Fire's first home game sold out 19,335 seats, the largest inaugural-game crowd for a WNBA team. Reception has been mixed. Marketers and data teams can read the partnership as a live customer-data case study in a loyal, high-growth fan base, and some observers distinguish Treasure AI's customer-data and marketing-automation role from consumer-facing image generators or general chatbots. But the rollout also triggered organized supporter resistance: an open letter from Thorns supporters objected to connecting volunteer-driven matchday culture with AI marketing and raised concerns about consent, privacy, creativity, employment and infrastructure impact. The next test is execution. If RAJ can show clearer fan service, better retention and useful community activations while respecting supporter boundaries, the partnership could make agentic marketing more tangible for sports organizations; if fans experience it mainly as branding or data extraction, it will underline the limits of bringing enterprise AI into emotionally rooted communities.