Open banking fintech connecting businesses to multi-lender credit solutions
Avanti operates a lending marketplace model for Brazilian mid-market companies, connecting them to multiple financial institutions for loans, financing, and secured credit products. The tech stack reveals a sales-and-data-operations-first company: HubSpot sits at the center of a complex orchestration layer (Zapier, n8n, Make, Tray.io) that feeds WhatsApp, DocuSign, and telephony into multi-channel lead cadences. The active hiring surge in sales and marketing—with a single data hire—suggests the company is scaling demand generation faster than analytics maturity, creating a crunch around marketing attribution and lead-quality issues already visible in their pain-point list.
Avanti is a fintech bridge built for Brazilian companies seeking credit. Rather than pitch a single bank's terms, they source loans and financing options across a network of partner institutions, then handle sourcing, qualification, and closing via a personalized advisory model. The company operates a high-touch sales motion supported by an emerging data stack: HubSpot CRM feeds lead scoring and attribution pipelines (BigQuery, Snowflake, dbt, Fivetran), while Looker Studio and Power BI surface performance. The tight organizational footprint (11–50 employees) centers on sales and marketing operations, with active work on end-to-end lead capture, scoring, distribution, and multichannel engagement flows.
Core systems: HubSpot, WhatsApp Business API, Salesforce, DocuSign. Integration layer: Make, Zapier, n8n, Workato, Tray.io. Data: BigQuery, Snowflake, Redshift, Azure Synapse, dbt, Fivetran, Apache Airflow. Analytics: Power BI, Looker Studio. Sales tools: Postman, Insomnia, Meta, Google Ads.
Lead generation and revenue automation: acquisition engine development, go-to-market evolution, end-to-end lead capture-to-reactivation flows. Multi-channel engagement: WhatsApp, email, tasks, telephony cadences. Data infrastructure: HubSpot orchestration, marketing attribution pipelines, lead scoring models, end-to-end data stack implementation.
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