Stradigi AI

What Stradigi AI does

Stradigi AI is a Montreal-based AI SaaS company that develops and markets Kepler, a low-code/no-code enterprise AI platform designed to enable data teams and business users to build, deploy, and monitor machine learning models without specialized data science expertise. Kepler combines an automated machine learning (AutoML) engine — which uses Bayesian Optimization to generate up to 35 AI pipelines and handles feature engineering, data preprocessing, and hyperparameter tuning — with a machine learning operations (MLOps) layer offering one-click API deployment, batch predictions, model export, role-based governance, and automated monitoring for data drift and retraining. The platform supports supervised, unsupervised, semi-supervised, and reinforcement learning across tabular, text, image, and combined datasets, with pre-built deep learning architectures (CNNs, LSTMs, AutoEncoders, ResNet50, VGG, BERT) and natural language understanding capabilities (entity recognition, intent recognition, sentiment analysis).

The company sells Kepler primarily through annual enterprise SaaS subscriptions, supplemented by professional services (onboarding, training, data strategy consulting), and distributes via direct enterprise sales, cloud marketplaces (AWS, Azure), and a partner network that includes systems integrators (Plantensive for supply chain/retail, Innovita Synaptics for SMEs) and strategic accelerator partners (Zú for creative entrepreneurs, leAD for sports and health tech). Customer segments span mid-market and enterprise organizations across CPG/retail (Seculus), consumer internet (Reclame AQUI), sports technology (Rooter), legal services (Marcelo Tostes Advogados), entertainment/non-profit (Synapse C), and digital advertising (Orangead Media), with operating geographies across North America, South America, Europe, and Asia. The company is privately held, founder-led (CEO Basil Bouraropoulos, Chief Science Officer Carolina Bessega, Chief Commercial Officer Per Nyberg), and has been recognized on the Constellation ShortList for AI/ML Best-of-Breed Platforms in 2020 and 2021, and named CIOReview's Most Promising AI Solutions Provider in 2022.

Name

Stradigi AI

Legal name

Stradigi AI Inc.

Website

https://stradigi.ai

Company type

Private

Founded year

2019

Operating status

Operating

Headcount range

51–100 employees

Short description

Stradigi AI is a Montreal-based AI SaaS company offering Kepler, a low-code/no-code platform that enables enterprise and mid-market organizations to build, deploy, and monitor machine learning models across text, image, and tabular data without specialized data science expertise.

Ownership category

akta.pro rank

Product category

AI/ML Platform Software

NAICS

Software Publishers (5132), Computer Systems Design and Related Services (54151)

SIC

Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

AutoML & Low-Code ML Platform Operations (HDAAABAL)

akta.pro secondary industries

Model Development & Training Platforms (AutoML, Notebooks, Feature Stores) (HDAEANAB), End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA), AI/ML Engineering & Model Development Services (BPAEAHAF)

Keywords

• Automated machine learning
• Machine learning operations
• No-code ai platform
• Predictive analytics software
• Enterprise ai tools

Headquarters

HQ city

Montréal

HQ country

Canada

HQ region

North America

Offices2 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations

Revenue model

1. Kepler SaaS Platform Subscription: Cloud-hosted AI platform subscription. Fully hosted solution available on AWS and Azure. Subscription-based pricing with enterprise licensing.
2. Professional Services: Onboarding support, AI primer training, applied AI training, data strategy and transformation consulting, and system integration services.

Pricing tiers

Go-to-market motion3 records

Distribution channels4 records

Marketing channels6 records

Core offering

Stradigi AI develops and sells Kepler, a low-code/no-code AI SaaS platform that combines Automated Machine Learning (AutoML) with Machine Learning Operations (MLOps). The platform enables data teams and business users without specialized ML expertise to build, deploy, and monitor machine learning, deep learning, and natural language processing models for predictive analytics, classification, time-series forecasting, and anomaly detection across tabular, text, image, and combined datasets.

Product overview

Stradigi AI offers Kepler, a unified low-code/no-code AI platform designed to democratize AI for businesses without specialized data science resources. The platform consists of the core Kepler Platform with integrated AutoML and MLOps modules, complemented by specialized AI technology capabilities including Machine Learning, Deep Learning, and Natural Language Processing. Users can access all capabilities through a single intuitive interface with point-and-click workflows, enabling rapid model building and deployment in weeks rather than months.

Differentiator

Problem solved

Functional benefit

Brands

• Kepler: Low-code AI software platform enabling data teams to build, deploy, and scale AI models without specialized ML experience. Features AutoML, MLOps, and support for Machine Learning, Deep Learning, and Natural Language Understanding.

Products and services

• Kepler Platform Kepler is a low-code/no-code AI software platform that enables data teams and business users to build, deploy, and scale machine learning, deep learning, and natural language processing models without requiring AI expertise. The platform unifies AutoML, MLOps, and multi-modal AI (machine learning, deep learning, NLP, computer vision, time series) behind a single point-and-click interface with one-click deployment, role-based governance, and automated model monitoring. Sold as a cloud-hosted SaaS subscription to enterprises and mid-market organizations.
• Kepler Professional Services Onboarding support, AI primer training, applied AI training, data strategy and transformation consulting, and system integration services delivered alongside the Kepler platform to help customers operationalize AI within their organizations.

Quantifiable outcome

• Build first AI model in 7 days (vs weeks/months traditionally)
• +6 more outcomes

Named customers7 records

Segments6 records

Ideal customer profiles5 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration6 records

AI capability9 records

Feature8 records

Partnerships

Six partnerships are on record, tiered flagship and core.

• ZúflagshipStrategic or Co-development Partner · 27 May 2021Non-profit entertainment and tech incubator partnership providing Kepler access to creative entrepreneurs. Helps cultural startups accelerate innovation through AI without requiring in-house expertise. First phase empowered three startups including Synapse C, Gallea, and Orangead Media.
• leAD Sports and Health Tech PartnersflagshipStrategic or Co-development Partner · 29 July 2020Official technology partnership providing Kepler to sports and health tech startups in the leAD Lake Nona program in Orlando, FL. Enables early-stage founders to deploy AI in their solutions without technical backgrounds. Partnership kicks off in 2020 with virtual programming and access to world-class facilities.
• PlantensivecoreImplementation/ SI/ Consulting PartnerSystems integrator partner specializing in supply chain and retail planning solutions. Provides market-specific solutions powered by Kepler from factory to consumer, including dynamic supply chain, retail planning, and category management.
• Innovita SynapticscoreImplementation/ SI/ Consulting PartnerData and analytics company empowering B2B and B2C small and medium enterprises to leverage AI. Helps SME customers implement Kepler for business acceleration.
• Microsoft AzurecoreTechnology or IntegrationCloud partner providing hosted Kepler platform deployment. Fully hosted solution available on Azure across countries in North and South America, Europe, and Asia.
• Amazon Web Services (AWS)coreTechnology or IntegrationCloud partner providing hosted Kepler platform deployment. Enables customers to run Kepler on AWS infrastructure for scalable AI workloads.

Scale indicators7 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• DataRobot: Enterprise AutoML and MLOps platform enabling business users to build and deploy ML models without deep data science expertise. Most direct competitor to Kepler's end-to-end low-code AI value proposition.
• H2O.ai: Provides the H2O AI Cloud with AutoML, Driverless AI, and MLOps capabilities, directly competing with Kepler on automated model development and enterprise deployment.
• Dataiku: Everyday AI platform with visual model building, AutoML, and MLOps for enterprise teams. Overlaps Kepler on democratized AI workflows and cross-functional use case coverage.
• Alteryx: Low-code analytics and data science platform targeting business analysts with automated modeling and workflow automation. Overlaps Kepler on democratizing AI for non-technical users.
• RapidMiner: Visual data science platform with AutoML, model deployment, and MLOps capabilities. Targets similar mid-market and enterprise customers seeking code-free ML.

Broad incumbents

• Google Vertex AI: Hyperscaler AI platform bundling AutoML, custom training, and MLOps within Google Cloud. Competes with Kepler on enterprise ML lifecycle, particularly for GCP-native customers.
• Amazon SageMaker: AWS's end-to-end ML platform with AutoML (Canvas), training, and deployment services. Competes with Kepler especially for AWS Marketplace customers and cloud-native enterprises.
• Azure Machine Learning: Microsoft's enterprise ML platform with automated ML, designer, and MLOps. Competes head-on with Kepler for Azure-deployed enterprises via the same marketplace.
• Databricks: Lakehouse platform offering AutoML, Feature Store, and MLflow-based MLOps. Increasingly overlaps Kepler for enterprise customers consolidating data and AI on a single platform.

Emerging players

• KNIME: Open-source visual workflow platform for analytics and ML with commercial KNIME Server offering. Competes with Kepler on low-code modeling and enterprise deployment.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/stradigiAI

Revenue estimate

Valuation estimate

Number of profiles

Profiles6 records

Funding overview

Funding rounds1 record

Investors5 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Stradigi AI