Startup program use case

Cloud infrastructure for an AI market intelligence startup.

Intrade Club is applying for startup cloud support to accelerate development of data pipelines, forecasting models, API services, and analytics dashboards for digital-asset market research.

Computemodel training, batch jobs, and feature processing
Storagehistorical market, on-chain, and sentiment datasets
APIsecure delivery of signals and research outputs
Opsmonitoring, observability, and controlled scaling

Why AWS

A practical path from prototype to production.

The platform needs a cloud stack that can support early experiments today and production-grade analytics tomorrow. AWS provides mature services for data storage, batch processing, containers, managed databases, machine learning, security, and monitoring.

  • Use Amazon S3 as the durable data lake for raw and processed market datasets.
  • Use AWS Lambda and containerized workers for ingestion, scheduled jobs, and alert processing.
  • Use Amazon ECS or AWS Fargate for API and dashboard services with controlled scaling.
  • Use Amazon RDS or DynamoDB for product data, user workspaces, and signal metadata.
  • Use Amazon SageMaker for model experimentation, training workflows, and deployment evaluation.
  • Use Amazon CloudWatch for logs, metrics, alarms, and operational visibility.

Technical roadmap

Milestones enabled by the AWS startup program.

The roadmap is intentionally focused on measurable product validation: better data coverage, stronger models, reliable delivery, and early customer feedback.

Phase 1

Data foundation

Deploy ingestion pipelines, normalize historical datasets, build storage partitions, and create a reproducible research environment.

Phase 2

Model experimentation

Train forecasting models, compare features, run backtests, validate confidence bands, and create explainable output formats.

Phase 3

Early access product

Launch dashboards, research briefs, alerts, and APIs for selected users while monitoring cost, performance, and reliability.

Phase 4

Scale validation

Improve observability, automate deployments, add usage-based controls, and prepare the platform for paid pilots.

Founder-led execution

Intrade Club is led by CEO-Founder Dmitrii Afonichev. The immediate goal is to validate a cloud-native analytics product for market research teams and use AWS infrastructure to move faster from prototype to usable platform.

Contact Intrade Club Meet the founder