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Integrate AI Models
Seamlessly and At Scale

AI Squared streamlines the integration of AI models into your existing workflows to get the “last mile” of business insight into your applications—so your engineering team can scale AI solutions faster and with less friction. ​

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Challenges Facing Engineering
Teams Deploying AI Models

Deploying AI models at scale across an organization comes with a unique set of challenges:

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Integration

Seamless Model 
Integration

Connect AI models to diverse data sources and business systems without heavy lifting.

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Data

Trusted, Unified 
Data

Maintain high data quality, consistency, and accessibility across your tools and teams.

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Continuous Model Optimization

Use structured feedback loops to refine and improve AI performance over time.

AI Squared: Allowing Engineers to Deploy Smarter, Scale Faster

AI Squared accelerates the process of integrating, deploying, and continuously improving AI models across multiple systems. We help engineering teams:

Fast Data Integration

Connect data sources, AI models , and any application quickly and easily.

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Real-Time Model Tuning

Optimize model performance with real-time feedback and performance tracking.

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Scale AI deployment

Use no-code/low-code tools that integrate seamlessly into business applications.

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Key Features
For Engineering Teams

Integration

Easy Integration of 
AI Model

Integrate any LLM (OpenAI, Anthropic, Llama) or custom models with plug-and-play connectors to platforms like AWS Sagemaker, Google Vertex, and Databricks.

Connection

Robust Data Connectors 

Built-in connectors to major data platforms (Redshift, BigQuery, PostgreSQL, Salesforce, Snowflake) ensure seamless data access 
across tools.

Feedback

Dynamic Feedback Loops

Capture and analyze user feedback via Thumbs Up/Down, Star Ratings, and custom forms directly within business applications.

LLM

Retrieval-Augmented Generation (RAG) 

Enhance LLM outputs by feeding live business data to ensure relevant, accurate results based on context.

Visualization

Data Apps for Visualization

Enable teams to create visualizations (e.g., pie charts, bar graphs) and summaries from AI outputs, providing stakeholders with actionable insights.

Automation

Reverse ETL Automation

Automate the flow of data between AI models and systems like Salesforce, ensuring your models always work with the most up-to-date information.

Key Benefits
for Engineering Teams

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Faster AI Deployment

Minimize setup and deployment time with out-of-the-box connectors and a low-code platform, allowing your team to focus on what matters.

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and Accuracy

Less Manual Data Work

Automate data syncing and integration tasks, reducing the need for manual data wrangling and mapping.

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Easier Scaling

With our no-code/low-code tools, you can scale AI model deployment across your organization without requiring extensive coding resources.

Request A Demo And
See It In Action

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