AWS Cloud Engineering · Venture Studio

Cloud-native systems.
AI-native software.

Morphlix is a cloud engineering and venture studio. We build production AWS platforms for enterprises — and back the startups we help build on top of them.

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Built on AWS

The services we run in production.

Every Morphlix system — client engagements and portfolio startups — runs on AWS. No proprietary middleware between you and the platform.

Compute
  • Lambda
  • EKS
  • Fargate
  • EC2
  • Step Functions
Data
  • DynamoDB
  • Aurora
  • RDS
  • S3
  • Kinesis
  • Redshift
AI / ML
  • Bedrock
  • SageMaker
  • Comprehend
  • Textract
Integration
  • EventBridge
  • SQS
  • SNS
  • API Gateway
  • AppSync
Security · Ops
  • IAM
  • KMS
  • WAF
  • Shield
  • CloudWatch
  • CloudTrail
AWS Solutions

Three layers, one architecture.

Three AWS-registered solutions covering the full stack — from engineering through integration to industry systems. Each is built on standardized patterns reusable across engagements.

Venture Studio

We back the startups
we help build on AWS.

The Morphlix studio runs AWS infrastructure and operations for portfolio companies at no cost — our investment is engineering time and cloud expertise. Founders pay only when we build custom software with them.

We invest

AWS architecture, provisioning, observability, security, and FinOps — operated by Morphlix at no charge to portfolio startups.

We bill

Custom software development — frontends, backends, APIs, integrations, AI features. Software is the only line item.

They keep

Their architecture, runbooks, and operating model — designed from day one to be handed off when the team brings it in-house.

Seshira infrastructure visual
0 Days
From first commit to public launch
Featured Case Study

Building an AI-Native Project Management Platform That Thinks Like Your Best Engineering Manager

Morphlix designed and built Seshira, an AI-native project management platform on AWS that combines collaborative workspaces with autonomous AI agents capable of planning sprints, triaging issues, automating workflows, and helping engineering teams ship faster.

Traditional project management platforms force teams to coordinate work manually across tasks, documentation, messaging, and reporting. While many products have added AI features, they remain workflow assistants rather than intelligent collaborators. Seshira set out to solve a different problem: build an agent-first project management platform where AI actively participates in planning, execution, and project coordination while remaining transparent, auditable, and fully integrated into the same workflows used by human team members. To achieve this, the platform needed to deliver: Real-time collaboration for distributed engineering teams AI-powered sprint planning and workflow automation Secure multi-tenant SaaS architecture Elastic cloud infrastructure capable of scaling with customer growth Enterprise-grade security and operational visibility

Read the full case study
What's Next

Tell us where you are. We'll show you what's next.

Whether you're modernizing on AWS, scaling SaaS workloads, or building an AWS-native startup with the studio, we map your environment, constraints, and outcomes in a single discovery call.