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Prototype Machine Learning Models in Minutes, Not Months.

AutoML Accelerator

Enables business analysts and domain experts in banking, telecom, and manufacturing to build baseline ML models without writing code, accelerating time-to-prototype by up to 10x. Bridges the gap between business stakeholders and data science teams in organizations with limited ML talent.

Why It Matters

AutoML Accelerator democratizes machine learning — it puts model-building power in the hands of business analysts and domain experts, not just scarce data scientists.
Organizations no longer wait months for prototypes that a no-code interface can deliver in minutes.
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10x faster time-to-prototype

Business teams validate ML use cases in days instead of months, so ideas get tested before big budgets are committed.

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Bridges the ML talent gap

Banking, telecom, and manufacturing firms with limited data science headcount can still move on AI — domain experts build baselines, data scientists refine what's promising.

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Production-ready from day one

Unlike standalone AutoML tools, export pipelines are deployment-ready, eliminating the costly rebuild between prototype and production.

Cloudly Impact

AutoML Accelerator is Cloudly’s top-of-funnel product — it speaks directly to business stakeholders, not just engineering teams, and creates demand that flows into TrainForge, ExperimentHub, and our full MLOps service stack.
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Expands the buyer audience

BD can now sell to business unit heads and analysts, not only CTOs — widening the pipeline in banking, telecom, and manufacturing accounts.

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Natural upsell path

Prototypes built in the Accelerator need training infrastructure, tracking, and deployment — leading directly to TrainForge, ExperimentHub, and MLOps engagements.

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SageMaker Autopilot integration sells AWS services

Every deployment is an opening for our AWS Migration, Monitoring, and CI/CD Implementation offerings.

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Fast proof-of-value wins deals

A working prototype in a discovery workshop is a stronger close than a slide deck — ideal for POCs that convert to contracts.

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Targets ML-talent-constrained markets

Positions Cloudly perfectly for traditional-industry clients in emerging markets where hiring data scientists is hardest.

The Final Takeaway

Recurring platform revenue — Hosting, maintaining, and extending the suite (Streamlit UI, H2O, FLAML stack) creates ongoing managed-service and consultancy income.

Powered By

AutoKeras

Core to the AutoML Accelerator technology stack.

FLAML

Core to the AutoML Accelerator technology stack.

H2O AutoML

Core to the AutoML Accelerator technology stack.

AWS SageMaker Autopilot integration

Core to the AutoML Accelerator technology stack.

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