Synthora Stack

Machine learning & agentic AI
solutions.

We build intelligent systems that learn, reason, and act — on AWS, Azure, or Google Cloud.

Talk to an AI specialist
  • AWS
  • Azure
  • Google Cloud
Beyond automation

Automation was the first step.
Intelligence is the next.

Rule-based automation and scripted bots still do valuable work. But today’s cloud platforms unlock something bigger: machine learning models that learn from your data, and AI agents that reason, plan, and act autonomously across your systems.

AWS, Microsoft Azure, and Google Cloud each now offer complete, enterprise-grade stacks for both. We help you choose the right platform — and turn these capabilities into working systems that deliver measurable results.

What we build for you

  • Predictive ML models

    Forecasting, churn, fraud, pricing, demand.

  • AI agents

    Assistants and autonomous workflows connected to your real systems.

  • Integrated intelligence

    AI wired into your CRM, ERP, data, and existing automation.

  • Governed AI

    Security, compliance, and monitoring built in from day one.

The three platforms

One goal. Three platforms.
We cover them all.

Each platform now carries a complete stack for machine learning and for agents. What differs is where it is strongest — and which one your organization already runs on.

Amazon Web Services

The broadest AI/ML portfolio in the industry — from custom models to fully managed agents.

Machine learning
  • Amazon SageMaker AI — the complete platform for building, training, and deploying custom models at any scale
  • No-code ML — SageMaker Canvas and Autopilot put model-building in the hands of your analysts
  • Ready-made AI services — document extraction, image analysis, sentiment, forecasting, personalization, and fraud detection via simple APIs
Agentic AI
  • Amazon Bedrock — one API for the world’s leading models (Amazon Nova, Claude, GPT, Llama), with built-in knowledge bases and guardrails
  • Bedrock AgentCore — AWS’s managed platform for running AI agents in production, with memory, secure tool access, identity, and full observability
  • Amazon Q — ready-made agents for business productivity and software development

Best fit if: you want maximum service choice and cloud-scale infrastructure, or you’re already on AWS.

Amazon Web Services — the services Synthora builds on
Side by side

The same capabilities,
named three ways.

Not sure which platform fits? That’s exactly what our assessment is for.

CapabilityAWSAzureGoogle Cloud
Custom ML platformSageMaker AIAzure Machine LearningVertex AI
Foundation modelsBedrockFoundry Models (11,000+)Model Garden (200+)
Managed agent platformBedrock AgentCoreFoundry Agent ServiceVertex AI Agent Builder
Low-code agentsAmazon QCopilot StudioAgent Studio
No-code MLSageMaker CanvasAzure AutoMLAutoML, BigQuery ML
Standout strengthBroadest portfolioMicrosoft 365 integrationData & Gemini models
How we work with you

Assess, build, integrate,
and keep it running.

  1. Assess & strategize

    We evaluate your data, cloud footprint, and use cases — and recommend the right platform and architecture for your goals and budget.

  2. Build & deploy

    Custom ML models and AI agents, designed for production from day one — with guardrails, human oversight, and audit trails.

  3. Integrate

    We connect AI to your CRM, ERP, data warehouses, APIs — and the automation systems you already rely on.

  4. Run & optimize

    Ongoing monitoring, retraining, agent evaluation, and cost optimization as platforms and pricing evolve.

Ready to move beyond automation?

Let’s build your AI roadmap.

The gap between “impressive demo” and “reliable production system” has closed. The differentiator now is execution — and that’s what we do.

Whether you’re taking your first step into machine learning or scaling AI agents across your enterprise, we have the platform expertise to get you there.

Schedule a free consultationTake a demo
Take a demo

See a private agent
run inside a perimeter.

A 30-minute walkthrough of an agent planning, retrieving, acting, and verifying — all on infrastructure that never touches the public cloud — followed by the questions that determine whether it fits your environment.

  • Live, not slides
  • Your workflow, if you bring one
  • No unpaid proof of concept
Take a demoSpeak with us