Qoob AI

Qoob AI offers a decision‑engine platform that leverages artificial intelligence to automate and optimize business decision processes. The service is currently in closed beta, granting access via invitation or reservation, and monetizes through subscription or usage fees once publicly launched.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Enterprises often rely on manual workflows or fragmented rule‑based systems to make high‑stakes operational decisions, leading to latency, inconsistency, and difficulty scaling as data volumes grow. Without a unified, data‑driven engine, organizations struggle to capture real‑time insights and enforce optimal policies across multiple channels.

Solution

Qoob AI delivers a cloud‑native, AI‑powered decision engine that centralizes complex business logic and executes it at scale. Users define decision models through a low‑code interface or import existing rule sets, which the platform then augments with machine‑learning inference to improve outcome quality. The service exposes RESTful and webhook APIs, enabling seamless integration with ERP, CRM, and custom applications. Real‑time scoring, probabilistic forecasts, and built‑in explainability tools help stakeholders validate recommendations before execution. All computations run in a multi‑tenant, SOC‑2 compliant environment, ensuring data privacy and auditability. The platform is currently in closed beta, with access granted via invitation, reservation, or sign‑in.

Target Audience

Primary customers are mid‑size to large enterprises in fintech, e‑commerce, insurance, and logistics that need to automate policy enforcement, fraud detection, or dynamic pricing across digital touchpoints.

Features

Low‑code model builder supporting decision trees, scorecards, and custom Python/R scripts
Integrated machine‑learning layer that auto‑trains on historical outcomes to refine rule weights
Real‑time inference API with sub‑100 ms latency for high‑throughput use cases
Webhook and SDK connectors for ERP, CRM, and microservice architectures (Java, Node, Python)
Role‑based access control and immutable audit logs for regulatory compliance
Explainability dashboard that visualizes feature contributions and confidence scores per decision
Usage‑based auto‑scaling on Kubernetes, guaranteeing elasticity during peak loads
Secure data ingestion pipeline with encryption at rest and in transit, supporting GDPR and CCPA requirements