Technology

Built on the Best Stack

We choose tools on merit, not hype. Every technology in our stack is battle-tested in production and chosen to solve a specific class of problem.

Neural Network · Live Simulation

Technology Pillars

Six engineering disciplines that form the foundation of every Nexsko product.

AI / ML at the Core

Every product ships with an intelligence layer — from classical ML pipelines to large foundation models fine-tuned for domain tasks.

  • LLM fine-tuning & RAG pipelines
  • Real-time inference APIs
  • AutoML & hyperparameter search
  • Responsible-AI evaluation frameworks

Cloud-Native Architecture

Microservices, event-driven design, and Kubernetes-first deployments that scale from startup MVP to enterprise millions of requests.

  • Kubernetes / Helm deployments
  • Service mesh (Istio/Linkerd)
  • Multi-cloud & hybrid-cloud
  • GitOps with ArgoCD / Flux

Data Infrastructure

Streaming pipelines, lakehouse architectures, and vector databases purpose-built for AI-heavy workloads.

  • Apache Kafka & Flink streaming
  • Lakehouse (Delta Lake / Iceberg)
  • Vector DBs (Pinecone, Weaviate)
  • dbt-driven transformations

Security by Design

Zero-trust networking, encryption at rest and in transit, SAST/DAST in CI — compliance is built-in, not bolted-on.

  • Zero-trust networking
  • SAST / DAST in CI pipelines
  • GDPR & SOC-2 compliance tooling
  • Secret management (Vault)

Edge & Distributed Systems

Sub-50 ms experiences globally through CDN-first design, edge compute, and globally distributed databases.

  • Cloudflare Workers / Vercel Edge
  • Global database replication
  • CRDT-based offline sync
  • Sub-50 ms p99 latency targets

DevOps & Platform Engineering

CI/CD pipelines, infrastructure as code, and self-service developer platforms that ship features daily.

  • GitHub Actions / GitLab CI
  • Terraform / Pulumi IaC
  • SLO-driven observability
  • Automated rollback & canary releases

Our AI Model Stack

From raw data to production-grade intelligence — the full pipeline.

Foundation Models

GPT-4o · Claude 3.5 · Llama 3 · Mistral

Orchestration

LangChain · LlamaIndex · Haystack

Vector Storage

Pinecone · Weaviate · pgvector

Observability

LangSmith · Arize · Weights & Biases

Serving

vLLM · TGI · ONNX Runtime · TorchServe

Training & Fine-tuning

HuggingFace · Axolotl · LoRA / QLoRA

Languages

TypeScriptPythonRustGoJavaKotlin

Frameworks

Next.jsFastAPIDjangoSpring BootFlutterTauri

Infrastructure

AWSGCPAzureVercelCloudflareSupabase

Security First

Security is not a feature — it is the foundation. We apply OWASP ASVS, perform automated SAST/DAST on every PR, rotate secrets with Vault, and enforce least-privilege IAM across all cloud accounts. All data is encrypted with AES-256 at rest and TLS 1.3 in transit.

OWASP ASVSTLS 1.3AES-256Zero TrustSOC-2 ReadyGDPR Compliant

Want to dig into the details?

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