Market intelligence for public sector sales teams
RFP Hunter shows what is open. Settle shows what is forming.
Settle pieces together buyer signals, budgets, contract activity, and the sources your team already monitors. See why an opportunity fits and what to do before the RFP posts.
Discovery, stakeholder workshops, data audit and AI architecture design: October 2026
Alternative data assessment, feature engineering and model development: November 2026 – December 2026
Model validation, bias testing and shadow deployment: January 2027
System integration, dashboards and API development: February 2027 – March 2027
Governance framework, policies, training and documentation: April 2027
Follow-up support and final recommendations: May 2027 – June 2027
Primary procurement contact — name, title, email, and phone
Additional decision-makers and their departments
Abler Nordic
The organization seeks a vendor to provide an artificial intelligence-powered credit scoring model solution as part of its broader digital transformation initiatives. The engagement includes integrating AI into operations, rolling out a company-wide customer relationship management platform, and scaling the digital application.
The selected vendor will develop and deploy the AI-powered credit scoring model and integrate the scoring engine with the core banking system, field applications, and management dashboards through secure APIs. The work will also include model validation, shadow deployment, and performance testing, with assessments focused on fairness, explainability, and responsible AI. Vendors must submit all questions by October 9, 2026.
Analysis generated by Settle AI from the source RFP.
Settle pieces together buyer signals, budgets, contract activity, and the sources your team already monitors. See why an opportunity fits and what to do before the RFP posts.