Stack
The right tool,not the trendy one.
Modern AI models, product platforms, cloud and data foundations, stitched into secure systems that grow with you. We pick the stack around your work, not the other way round.
$ techyst stack --list
›AI ModelsCore AI systems, Fine-tuned models, Domain-specific models
›AI Product LayerAgentic workflows, RAG and knowledge search, Document intelligence
›ApplicationsSaaS platforms, Web applications, Mobile applications
›Data FoundationsData pipelines, Vector search, Analytics stores
›Cloud & DeliveryCloud architecture, Infrastructure management, Deployment pipelines
›GovernanceAccess controls, Audit trails, Evaluation suites
✓ 6 layers, picked around your workflow
What we cover
Top to
bottom
From the model all the way down to the deploy pipeline.
Models
Core AI, fine-tuning, model selection, and behavior evaluation
Products
SaaS, web, mobile, desktop, and multi-platform applications
Plumbing
Data foundations, cloud infrastructure, observability, and CI/CD
Technology capabilities
More than
vendor plug-ins
We choose the model, architecture, data layer, platform and delivery approach around your work. Sometimes that means wiring in a leading model; other times it means tuning, evaluating or deploying something more specialised.
AI Models
AI Product Layer
Applications
Data Foundations
Cloud & Delivery
Governance
Toolbox
Names you'll
recognise
A few of the tools that show up in our projects a lot. Not a religion, just what's been earning its keep.
OpenAI
Gemini
LangChain
Pinecone
Next.js
NestJS
FastAPI
Node.js
Postgres
AWS
Azure
TwilioOutcomes
What you
walk away with
Architecture that won't need a rewrite the minute you grow.
Your move
Got a stack
question?
Tell us what you're running today. We'll tell you what we'd keep, what we'd fix and what we'd leave alone.