Stradigi AI redefines the future of human decision-making in business with Kepler, its SaaS AI business platform

From internal systems and processes to external sources, a wealth of data is being produced and collected every day. Stradigi’s mission is to help teams use machine learning to activate better insights, and realize true value from their data. And, as pioneers in low-code AI software, they are on the path to turning it into a reality.

Stradigi AI believes in AI for every team

AI can be easy: Stradigi is all about creating software that makes AI business-as-usual, and doesn’t need specialized resources to use, manage, or understand.

AI can be trusted: AI shouldn’t be a black box. Not only does the company share the what of AI insights, but the why, so you understand the recommendations and results.

AI needs to deliver: Expensive, long-winded AI projects that never take flight are a thing of the past. Stradigi takes the risk, cost, and guesswork out of your next initiative, with actionable results in weeks.

Q. Why Kepler?

Discover, predict & automate with AI: Put the spotlight on your data with the power of machine learning to uncover new value that will transform your decision-making process.

Discover insights: Harness the volume and velocity of your data and discover previously unknown trends and patterns within the data in seconds:

• Automatically process vast amounts of data that is too complex for traditional spreadsheets and reporting tools
• Capture insights from blended data types and data sources, faster and more effectively than with manual processing
• Group data into clusters and uncover unexpected trends
• Collect new data points from unstructured data like text

Predict Outcomes

• Use AI scoring to anticipate the likelihood that something will occur in the future
• Analyze the learnings from data discovery to predict what and when
• Understand which factors impact predictions and outcomes by understanding correlations within the data

Automate processes

• Harness the power to influence outcomes, without the need for a user to make it happen.
• Automate data processing
• Streamline workflows to eliminate routine or manual tasks
• Add insights and predictions into decision dashboards
• Connect AI insights directly into enterprise apps and systems for easy stakeholder consumption

Become an AI champion

Whether you’re new to AI, or experienced in data science and machine learning technologies, quickly activate AI predictions without having to rely on teams of specialized resources.

Automated Machine Learning and Machine Learning Operations toolsets let you deliver AI impact early and often start generating AI insights and predictions in weeks. Active coaching and engagement helps expand your AI knowledge as you go.

Accelerate model development with intelligent AutoML

Build custom AI pipelines leveraging end-to-end Auto ML that automates the technical aspects of model development, and gain faster time to insights.

• Guardrails help novice AI practitioners avoid critical steps in the development process
• The latest in AI algorithms and capabilities are embedded in the platform
• Parallel model development allows easy experimentation while model ranking helps you quickly hone in on the right model.

Send AI models into enterprise systems in a single click

• Easily deploy models into production and activate AI insights and predictions to advance business decisions
• Achieve model governance with role -based deployment options for requestor and approver
• Configure what information you want to receive about a prediction including confidence, interpretability or simply the prediction itself

AutoML platform

Build AI models, faster, with intelligent AutoML: As organizations become increasingly data-driven, teams share a growing interest to tap into AI to extract meaningful insights from within their data. Game changing AutoML makes long development cycles, with specialized resources, a thing of the past.

Spend less time developing, more time predicting: By performing the technical aspects of model development, Kepler makes it easy to build, train, and work with ML models, and frees data teams to spend more time learning about their data and analyzing insights. With built-in data science best practices, Kepler places the emphasis on AI insights and predictions, not technical implementation.

MLOPs platform

Deploy and manage AI apps at scale with MLOPs: The true impact of AI insights happens when models are sent into production. Deploying insights to decision dashboards or enterprise systems is the aha moment when data turns into value. Robust MLOPs streamlines the process to increase the speed of model deployment and usability.

Synchronize the handoff from data science to machine learning application: A common MLOPs environment encourages a collaborative environment for data scientists and machine learning engineers. Streamline and accelerate the integration and deployment of ML models with proper monitoring, validation, and governance.

Basil Bouraropoulos, CEO & Co-Founder

Basil is an accomplished entrepreneur with a proven track record of driving growth for businesses. Prior to founding Stradigi AI, Basil, along with Curtis Gavura, led a software development company that worked with international clients across several industries. Today, Basil’s core focus is building AI that will have a positive impact on the human experience. He’s also an angel investor, mentor, and Limited Partner at Panache Ventures, and co-founder of financial technology firm Holt Accelerator. He prides himself on his entire team, his seasoned advisory board, and his family.

“Stradigi AI is a leading North American SaaS AI business platform provider that enables organizations to bring business-accelerating AI projects to fruition, quickly.”