Co-founder/CEO
Arkham Technologies
Arkham is an AI Operating System that integrates data and AI tools to unify fragmented databases and automate critical enterprise processes. This platform enables organizations to enhance operational efficiency, reduce costs, and accelerate access to business insights, achieving significant productivity gains.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Software Only
Updated 29 days ago
Funding
Raised to date
$5MRaised 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.
$2M across 1 disclosed round
$2M · Seed
Announced Oct 2023
Disclosed cumulative: $2M
Reported total $5M
Incomplete round history. $3M of the $5M reported total isn’t matched to a known round.
RoundDateAmountValuationInvestors
Founders
Product
Problem
Enterprises struggle with fragmented data silos and legacy systems, hindering their ability to leverage AI for operational improvements. This complexity makes it difficult to gain timely business insights, automate processes, and achieve optimal efficiency.
Solution
Arkham provides an AI Operating System that unifies disparate data sources and integrates AI tools to streamline enterprise operations. The platform enables organizations to connect to various databases, harmonize data, and apply AI models to automate critical processes. By centralizing data and providing AI-powered solutions, Arkham helps businesses accelerate access to insights, reduce operational costs, and improve productivity. The system offers tools for business intelligence democratization, trend identification, financial operation automation, audit automation, and real-time anomaly detection.
Target Audience
The primary target audience includes enterprises across various industries seeking to improve operational efficiency, reduce costs, and accelerate access to business insights through AI-driven solutions.
Features
- Unified data integration from various sources, including legacy systems and fragmented databases.
- AI-powered automation of financial operations, including P&L and fiscal reporting.
- Real-time anomaly detection for identifying and resolving invoicing discrepancies.
- Time series ML models for spotting and acting on emerging trends.
- AI assistant to democratize access to business intelligence across the organization.
- Automated audit processes using generative AI capabilities.
- SOC 2, GDPR, and ISO 27001 compliance.