Our Stack

Technology That Delivers

We don't have a default stack — we have a methodology for choosing the right tools for each project. Here's what we work with and how we make decisions.

Our Philosophy

Technology Decisions Matter

The technology choices you make at the start of a project compound over time. A good choice accelerates development for years; a bad one creates technical debt that slows everything down. We take these decisions seriously.

Our approach is pragmatic, not dogmatic. We evaluate every technology against the specific requirements of your project — not based on hype cycles or personal preferences.

Cloud infrastructure

Right Tool, Right Job

Every technology choice is driven by the specific requirements of your project — performance needs, team expertise, compliance requirements, and long-term maintainability.

Open Standards First

We prioritize open-source technologies and open standards to prevent vendor lock-in. Your team can maintain and extend everything we build without needing us.

Production-Proven Only

We use technologies that have been battle-tested in production at scale. No bleeding-edge experiments on your dime — unless that's explicitly what you're looking for.

Future-Proof Architecture

Every system we design accounts for 10x growth from day one. We build modular, loosely-coupled architectures that can evolve as your business needs change.

The Stack

What We Work With

AI & Machine Learning

From custom model training to production inference pipelines, we use the best tools for each AI challenge.

OpenAI / GPT-4
LLM inference, embeddings, fine-tuning
Anthropic Claude
Complex reasoning, document analysis
LangChain / LangGraph
Agent orchestration, RAG pipelines
PyTorch
Custom model training, research
Hugging Face
Model hub, transformers, tokenizers
Pinecone / Weaviate
Vector databases for semantic search
AWS SageMaker
Model training, deployment, monitoring
Weights & Biases
Experiment tracking, model evaluation

Cloud & Infrastructure

Multi-cloud expertise with deep specialization in AWS. Infrastructure that scales automatically and costs predictably.

AWS Lambda / Fargate
Serverless compute, container orchestration
Cloudflare Workers
Edge computing, global low-latency
Kubernetes (EKS/GKE)
Container orchestration at scale
Terraform / Pulumi
Infrastructure as code, multi-cloud
Docker
Containerization, reproducible environments
GitHub Actions
CI/CD pipelines, automated deployments
Datadog / Grafana
Monitoring, alerting, observability
Cloudflare
CDN, DDoS protection, DNS

Data Engineering

Building data pipelines that handle millions of events per second with full lineage tracking and governance.

Apache Kafka
Event streaming, real-time ingestion
Apache Spark
Batch processing, large-scale analytics
dbt
Data transformation, lineage tracking
Snowflake
Cloud data warehouse, analytics
PostgreSQL
Relational data, ACID transactions
Redis
Caching, session management, pub/sub
MongoDB
Document storage, flexible schemas
Apache Airflow
Workflow orchestration, scheduling

Frontend & Mobile

Building responsive, performant user interfaces across web, iOS, Android, and desktop platforms.

React / Next.js
Web applications, SSR, static sites
React Native
Cross-platform mobile (iOS + Android)
TypeScript
Type-safe development across all platforms
Tailwind CSS
Utility-first styling, rapid UI development
Electron / Tauri
Desktop applications (Windows, Mac, Linux)
Framer Motion
Animations, transitions, micro-interactions
WebRTC
Real-time video, audio, screen sharing
WebSocket
Real-time bidirectional communication

Backend & APIs

Designing scalable, secure backend systems that handle enterprise workloads with predictable performance.

Node.js / Express
REST APIs, microservices
Python / FastAPI
ML serving, data APIs, async services
Go
High-performance services, infrastructure tools
GraphQL
Flexible data querying, schema-first APIs
gRPC
High-performance inter-service communication
Prisma / Drizzle
Type-safe database access, migrations
Auth0 / Clerk
Authentication, authorization, SSO
Stripe
Payment processing, billing, subscriptions

Security & Compliance

Security isn't a feature — it's a foundation. We build with compliance baked in from the architecture level.

AWS GovCloud
FedRAMP-compliant cloud infrastructure
HashiCorp Vault
Secrets management, encryption
OWASP ZAP
Automated security scanning
Snyk
Dependency vulnerability scanning
Zero-Trust Architecture
Network security, identity verification
SOC 2 Controls
Security audit readiness
HIPAA Frameworks
Healthcare data compliance
FIPS 140-2
Cryptographic module validation
Architecture

Patterns We Deploy

There's no one-size-fits-all architecture. We choose the pattern that best fits your project's scale, team, and business requirements.

Microservices

For complex systems that need independent scaling and deployment of individual components.

Best for: Large teams, complex domains, high-scale requirements

Serverless

For event-driven workloads with variable traffic patterns where you want to pay only for what you use.

Best for: Variable traffic, cost optimization, rapid prototyping

Monolith-First

For startups and MVPs where speed of iteration matters more than premature optimization.

Best for: Early-stage products, small teams, rapid iteration

Event-Driven

For systems that need to process millions of events in real-time with guaranteed delivery.

Best for: Real-time data, financial systems, IoT
Decision Framework

How We Evaluate Technology

Every technology choice goes through our evaluation framework. This ensures decisions are systematic, not subjective.

Production Maturity
Has this technology been used in production at scale by multiple organizations?
Critical
Community & Support
Is there an active community, good documentation, and commercial support options?
High
Performance
Does it meet the latency, throughput, and resource requirements of the project?
High
Security
Does it have a strong security track record and regular vulnerability patches?
Critical
Team Expertise
Does our team (or the client's team) have deep experience with this technology?
Medium
Migration Path
If we need to move away, is there a clear migration path to alternatives?
Medium
Cost Predictability
Can we predict and control costs at scale, or are there hidden scaling costs?
High
Compliance
Does it support the regulatory requirements of the project (HIPAA, SOC 2, FedRAMP)?
Critical

Need help choosing the right stack?

We offer free architecture consultations to help you evaluate technology choices for your next project.