Unify data engineering, analytics, machine learning and AI workflows in one platform. Useful for founders building data products, AI features or internal analytics pipelines on top of AWS data.

Store, analyse and share business data across teams with a managed cloud data platform. Useful for founders consolidating product, customer, revenue and operational data for reporting or AI use cases.

Build fast real-time applications with managed Redis for caching, session storage, queues, vector search and AI use cases. Useful for founders who need speed without running Redis themselves.

Run fast analytics on large volumes of product, event and customer data without managing database infrastructure. Useful for founders building dashboards, usage analytics, observability tools or data-heavy products on AWS.

Build and scale applications with a fully managed cloud database. A strong option for founders who want flexible document storage, fast development cycles and less operational database overhead on AWS.

Monitor your AWS infrastructure, applications, logs, traces and security signals from one place. Helps technical teams spot issues faster, understand performance and keep products reliable as usage grows.

Protect endpoints, cloud workloads and identities with a security platform built for modern teams. A good fit for AWS users who need stronger threat detection, response and protection as their company scales.

Search, monitor and analyse machine-generated data across systems, apps and infrastructure. Useful for AWS users who need stronger security, observability and operational insight from logs and events.

Get deep visibility across applications, infrastructure, cloud environments and user experiences. Useful for AWS teams that need automated monitoring, performance insights and faster root-cause analysis.

Build, deploy and manage AI, machine learning and analytics projects across teams. Useful for founders turning company data into predictive models, internal tools or production AI workflows.

Help teams find information faster across workplace apps and company knowledge. Useful for growing startups where documents, decisions and customer context are spread across too many tools.

Automate and manage infrastructure-as-code workflows across cloud environments. Helps AWS teams collaborate on Terraform and other IaC projects with policy controls, approvals and better visibility.

Analyse high-volume logs and event data while keeping storage and query costs under control. Useful for AWS teams handling large observability, security or telemetry workloads.

Automate data integration and create reliable data flows between apps, warehouses and analytics tools. Useful for founders who need cleaner pipelines without spending engineering time on brittle data plumbing.

Add AI-powered search, recommendations and discovery across websites, apps or internal knowledge. Useful for founders improving product discovery, support experiences or enterprise search on AWS.

Test your security posture with AI-driven vulnerability discovery. Useful for founders who want to uncover real-world weaknesses before attackers or enterprise customers find them.

Build video understanding features using multimodal AI models. Useful for founders working with video search, summarisation, indexing, recommendations or automated content analysis on AWS.

Detect and stop application threats at runtime in modern software environments. Useful for AWS teams looking to strengthen application security beyond code scanning and traditional monitoring.

Build reliable workflows for complex applications without managing orchestration infrastructure. Useful for founders running payments, onboarding, background jobs, AI workflows or any process that must not silently fail.