AI Squared

Company Overview

AI Squared is a technology company that develops an AI integration platform to help organizations deliver data and AI insights into business applications. The company was founded by Dr. Benjamin Harvey and is headquartered in Washington, DC. AI Squared’s mission is to foster widespread AI adoption by embedding AI-generated insights directly into mission-critical business applications and everyday workflows.

Products Overview

AI Squared offers several key products and services:

1. Enterprise Reverse ETL: A platform that allows organizations to sync data and AI model outputs from data warehouses to business tools without file uploads or API integrations. It offers robust infrastructure, granular access controls, and both cloud and self-hosted deployment options.

2. Open-Source Reverse ETL (Multiwoven): An open-source solution for data segmentation, sync, and activation. It allows companies to connect to data sources, prepare data, and sync with destinations using zero-maintenance data pipelines.

3. ML Ops: A platform for activating AI models for business applications. It provides connectors to various AI/ML platforms, syncs data to business applications, and allows direct rendering of AI insights in business workflows.

4. Data Apps: A solution to augment business workflows by rendering AI insights directly into the UI of existing business applications. This allows for real-time, contextualized insights delivery to users.

These products work together to create an end-to-end solution for integrating AI and data insights into business processes and applications.

Founding Team

The leadership team of AI Squared includes:

• Dr. Benjamin Harvey (Founder & CEO): Former Chief of Operations Data Science for the NSA, with a Ph.D. and Masters from Bowie State University.
• Alvin McClerkin (COO): Has 15 years of experience in the federal government, including leading quality assurance programs.
• Dr. Jacob Renn (Chief Data Scientist): Responsible for coordinating product engineering, development, and research.
• Michelle Bonat (Chief AI Officer): Former CTO at JPMorgan Chase, leads technology, IT, and product management.
• Jimmy Oyeniyi (CRO): Leads sales, marketing, and customer success teams, with over 20 years of experience in data and cloud industries.
• Sujoy Golan (CPO & Co-founder): Previously co-founder & CEO at Multiwoven (acquired by AI Squared).
• Nagendra Dhanakeerthi (CTO): Spearheads engineering and technology initiatives, with over 16 years of experience.
• Subin Thattaparambil (SVP of Engineering): Brings over 10 years of experience in building distributed systems and data infrastructure.

Problem and Market Fit

AI Squared addresses the challenge of integrating AI and data insights into everyday business processes and applications. Many organizations struggle to operationalize their AI and data investments, often facing bottlenecks in deploying AI models and making their insights accessible to business users. AI Squared’s platform bridges this gap by providing tools to easily sync data and AI outputs to business applications, render insights directly in user interfaces, and create feedback loops between AI consumers and developers.

The company’s solutions cater to a growing market need for more efficient and user-friendly ways to implement AI in business contexts, particularly as more companies invest in data warehouses and AI capabilities but struggle to derive tangible value from these investments.

Business Model

AI Squared operates on a SaaS (Software as a Service) model, offering its platform on a subscription basis. They also provide an open-source version of their Reverse ETL tool, which can serve as a freemium entry point for potential customers. The company likely generates revenue through tiered pricing plans based on usage, features, and support levels.

Additionally, AI Squared may offer professional services for implementation, customization, and training to supplement their product revenue.

Funding and Runway

AI Squared has raised $13.8 million in funding, led by ANSA Capital and NEA. The funding round was announced in 2024, indicating that the company likely has a substantial runway to continue developing its products and expanding its market reach.

Competitive Landscape

The AI integration and operationalization space is becoming increasingly competitive. While AI Squared doesn’t explicitly mention competitors, they likely compete with:

1. Other Reverse ETL providers like Census, Hightouch, and Rudderstack
2. MLOps platforms like DataRobot, Domino Data Lab, and Databricks
3. BI and data visualization tools that are expanding into AI integration

AI Squared’s differentiation appears to be its comprehensive approach, combining Reverse ETL, MLOps, and front-end integration capabilities in a single platform.

Customers

AI Squared’s customer base includes a mix of government agencies and private sector companies:

• Government: NSA, U.S. Air Force, United States Navy, NGA (National Geospatial-Intelligence Agency)
• Private Sector: Coca-Cola Florida, HUDL Music, Rapid7
• Partners/Integrations: Databricks, Microsoft, NVIDIA, Snowflake, Johns Hopkins, Intel

This diverse customer base demonstrates the platform’s versatility across different sectors and use cases.

Relevant News

1. AI Squared acquired Multiwoven, an open-source reverse ETL technology company. (Date not specified, but likely recent as of 2024)
2. The company raised $13.8 million in funding led by ANSA Capital and NEA. (Announced in 2024)

These developments indicate that AI Squared is in a growth phase, expanding its technology stack through acquisition and securing significant funding to fuel further expansion.