Onteric provides logic-based AI agents that automate document data entry, reconciliation, and complex form completion for regulated industries. The platform combines rule-based reasoning with machine learning to deliver auditable, explainable outcomes that meet compliance standards. Financial services firms use Onteric's embeddable web components to slash onboarding time and improve data accuracy.
Funding
Funding not disclosed
Founders
Product
Problem
Financial services and other regulated industries rely on manual data entry, document reconciliation, and complex form completion, consuming significant staff time and introducing errors. Large language models alone are unsuitable for these tasks because they produce hallucinations and lack the transparency required for regulatory compliance and defensible decision-making.
Solution
Onteric provides logic-based AI agents that combine rule-based reasoning with machine learning to deliver precise, auditable outcomes. The platform's embedded agents automatically gather and complete information needed for complex forms, eliminating manual data entry and reconciliation work. Users set the rules, and the agents follow them consistently with full explainability and transparent reasoning, ensuring every decision can be traced and defended. Onteric's web components can be embedded into customer journeys with just four lines of code, allowing customers to upload documents and skip data entry entirely.
Target Audience
Primary customers are financial services firms, including lenders and banks, as well as government and other regulated-sector organizations that need precise, auditable AI for document processing and data workflows.
Features
- Logic-based AI architecture that combines symbolic reasoning with machine learning for precise, defensible answers without hallucination
- Rule-driven agents that follow user-defined business rules consistently with full explainability and transparent reasoning
- Embedded web components that integrate into existing customer journeys with minimal code, enabling document upload and automated data extraction
- Auto-population of complex forms with information gathered from uploaded documents and connected data sources
- Automated reconciliation of data across systems, flagging inconsistencies in documentation for review
- Built for regulated environments with audit trails and reasoning transparency to support compliance requirements