Predicti raises fresh funding to help banks anticipate customer life events

Predicti raises fresh funding to scale AI in finance

Date: September 23, 2025

Predicti has secured new funding to expand its predictive AI platform for banks and financial institutions. The round was led by TX Ventures and Dreamcraft Ventures, with Plug and Play Tech Center joining as a backer.

Why this matters for banks

Predicti's platform analyzes internal and external data to forecast life events such as property purchases, company formations, and relocations. For teams across retail, wealth, and SME banking, this means earlier intent signals, higher conversion rates, and tighter timing on offers.

The immediate opportunity: move from reactive outreach to proactive, event-driven engagement. The goal is simple-show up with the right product at the exact moment of need.

What Predicti says it will do with the capital

• Scale operations to support more financial institutions
• Advance predictive models and event-detection coverage
• Accelerate go-to-market and expand its customer base
• Drive adoption across the financial sector

The company called the raise the start of an "exciting chapter."

Practical use cases to evaluate now

• Mortgage pre-approval: Trigger outreach when buying intent is detected; streamline onboarding with pre-filled applications.
• SME formation: Offer business accounts, card bundles, and payment gateways at or near incorporation.
• Relocation and expat moves: Cross-border accounts, KYC refresh, and credit portability tied to address and employment changes.
• Wealth events: Liquidity signals (e.g., company sale filings) to prompt advisory outreach and portfolio reallocation.

Integration and risk checklist

• Data sources: Map which internal (CRM, core, card, digital) and external signals you can legally use.
• Model governance: Validate feature provenance, bias controls, and performance drift monitoring.
• Compliance: Align with fair lending, consent, and explainability policies; document decision pathways.
• Delivery: Pipe predictions into CRM/journey tools with clear SLAs and feedback loops to refine models.
• Measurement: Track uplift vs. control on conversion, NIM/CAC, and time-to-offer.

Questions to ask your team

• Which life-event signals would move the needle most for our priority products?
• Do we have consent and governance in place to activate these signals in marketing and underwriting?
• What's the fastest path to an in-market pilot with clear success metrics?

Next steps

If you're assessing event-driven banking, short-list vendors that can prove signal accuracy, integration speed, and compliance support. Aim for a 90-day pilot on one high-value journey, then scale across lines of business once lift is validated.

For teams building skills around AI in finance, explore curated tools and training resources here: AI tools for finance.