Isima provides a real-time data and AI cloud platform, bi(OS), that enables self-serve low-code data management and hyperconverged data middleware for rapid application development. It reduces the time to generate business insights to one hour, model actions in one day, and deploy applications in one week, addressing the need for faster data-driven decision-making in eCommerce.
Funding
$10M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
SVFounders
Product
Problem
eCommerce businesses struggle to maintain real-time inventory visibility across various locations and channels, leading to inaccurate available-to-promise (ATP) calculations and poor customer experiences. Existing solutions often rely on complex microservice architectures with lagging data, resulting in lost sales and inefficient supply chain operations. Furthermore, traditional third-party analytics solutions raise privacy concerns and add unnecessary backend load.
Solution
Isima's bi(OS) is a real-time data and AI cloud platform that provides a hyperconverged data middleware solution, enabling eCommerce businesses to achieve accurate, real-time ATP and first-party analytics. The platform unifies data engineering aspects, from data ingestion to actionable insights, within a single framework. By offering a scale-out SQL-friendly database with zero-code onboarding, bi(OS) allows data analysts to rapidly build and deploy data applications for use cases such as in-session personalization, supply chain optimization, anomaly detection, and bot prevention. The platform's architecture ensures consistent SLAs for both machine learning microservices and ETL processes, while also providing built-in IP2Geo capabilities and multi-cloud bot prevention.
Target Audience
The primary target audience includes eCommerce businesses, data analysts, and data scientists seeking to improve real-time data processing, analytics, and decision-making, as well as SRE/Operations teams looking to improve customer experience and operational reliability.
Features
- Real-time inventory updates with delta or absolute value recording
- Materialized inventory snapshots at user-defined intervals (as low as 1 second)
- Separate Quality of Service (QoS) for API and ETL accesses to prevent performance degradation
- Built-in IP2Geo capabilities with weekly updates
- Multi-cloud bot detection and prevention with swarm intelligence
- Unified observability across storage, database queries, and business metrics
- SQL-friendly syntax for easy learning and use
- JSON/YAML-based declarative DDL for in-production changes
- Ability to export data to cloud data warehouses/lakes in Parquet format
- Javascript tag to send data to bi(OS) from the browser