Paul James
CEO
Jaid
Jaid is an AI-powered platform that automates the extraction and interpretation of actionable data from business communications, enhancing operational efficiency for teams managing high volumes of requests. By utilizing customized AI models, Jaid significantly reduces the time and effort required for case management, achieving up to 100% productivity increases and 95% faster response times.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Software Only
Updated 7 months ago
Funding
Raised to date
$3.7MRaised 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.
across 1 round
FIMOV+2$3.7M · Seed
Announced Dec 2022
Disclosed cumulative: $3.7M
RoundDateAmountValuationInvestors
Founders
Product
Problem
Teams managing high volumes of requests often face challenges in efficiently extracting and interpreting actionable data from business communications. Manual case management processes are time-consuming, prone to errors, and lack real-time insights, hindering operational efficiency and responsiveness.
Solution
Jaid offers an AI-powered platform designed to automate the extraction and interpretation of data from business communications, streamlining case management workflows. The platform utilizes customized AI models to classify requests, extract relevant information, and automate routing, significantly reducing manual effort. Jaid's AI-First Case Manager and AI Automation Engine integrate with existing systems to provide real-time insights, improve client service, and enhance operational visibility. By automating mundane tasks, Jaid enables service agents to focus on problem-solving and customer service, while empowering management with accurate, real-time insights for effective operations management.
Target Audience
Jaid targets businesses, particularly those in financial services and other industries managing high volumes of client requests, seeking to improve operational efficiency, client experience, and management visibility.
Features
- AI-First Case Manager: A turnkey SaaS solution for efficient request management, providing automation and insight through AI-driven data interpretation.
- AI Automation Engine: Customizable solutions for AI-powered process automation, offered as fully managed SaaS or on-premises deployment.
- Model Gym: A platform for training AI models with high accuracy and efficiency, enabling organizations to build specialized models tailored to their specific business needs.
- Model Builder: Deploys generative model assistance to fine-tune models with minimal data and natural language class descriptions.
- Engine Builder: A graphical editor for creating inference graphs that combine reusable components, models, and custom business logic.
- Model Lab: Advanced evaluation and testing techniques to ensure model predictability and reliability.
- Consensus Engine: Executes inference graphs, dynamically selecting the lowest cost models for efficient and accurate inferences.
- Model Monitor: Continuously observes production model telemetry to highlight performance divergence and trigger retraining.