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Services

Four practices. One team that ships.

We work as an extension of your team, from the model to the interface to the infrastructure underneath. The people who scope the work are the people who build it.
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AI & LLM Engineering

We design and ship applied-AI systems that hold up in production — from retrieval-augmented generation and agentic workflows to fine-tuned open models served behind real APIs.

Explore AI & LLM Engineering
  • RAG & LLM Applications

    Retrieval-augmented systems with hybrid search, reranking, and evaluation — grounded answers over your own data.

  • Agentic Workflows

    Multi-step agents that plan, use tools, and act safely, with human-in-the-loop where it matters.

  • Model Fine-Tuning

    Task-specialized open models (LoRA/QLoRA) with reproducible evaluation against real baselines.

  • On-Device & Edge AI

    Quantization and ONNX conversion for privacy-preserving, offline-first inference on constrained devices.

02 / 04

Web & Full-Stack Development

We build web applications end to end — accessible React/Next.js frontends backed by well-structured FastAPI and Node services, with data models designed to last.

Explore Web & Full-Stack Development
  • Custom Web Applications

    Tailored products built from the ground up around your workflow, not a template.

  • Redesign & Modernization

    Rework dated interfaces and legacy stacks into fast, maintainable, responsive apps.

  • APIs & Integrations

    REST and GraphQL APIs, third-party integrations, and clean service boundaries.

  • Business Systems

    Practical internal tools and POS/ERP-style systems for real operational needs.

03 / 04

Cloud & MLOps

We treat infrastructure as part of the product. Services are containerized, deployed through CI/CD, and monitored — including the pipelines that train, serve, and watch machine-learning models.

Explore Cloud & MLOps
  • Deployment & CI/CD

    Automated build-test-deploy pipelines with GitHub Actions and container registries.

  • Model Serving & MLOps

    Scalable inference serving, drift monitoring, and retrain pipelines for ML in production.

  • Observability

    Metrics, logging, and tracing so you can see how systems behave under real load.

  • Event-Driven Systems

    Decoupled, fault-tolerant services with queues and message streams that scale independently.

04 / 04

Quality Assurance & System Design

Reliability is designed in, not bolted on. We bring testing, evaluation, and architecture review into the build so software behaves correctly — and keeps behaving correctly as it grows.

Explore Quality Assurance & System Design
  • Automated Testing

    Unit, integration, and end-to-end test suites wired into your CI pipeline.

  • AI/LLM Evaluation

    Systematic evaluation harnesses for RAG and LLM systems — faithfulness, relevance, and cost.

  • Architecture Review

    Design reviews focused on scalability, fault tolerance, and maintainability.

  • Performance & Load

    Profiling and load testing to find bottlenecks before your users do.

Engagement model

Fixed scope or ongoing. Always in the open.

Whether it's a fixed-scope build or dedicated ongoing work, you get a clear plan, regular status updates, and code you can read.
  1. 01

    Discovery

    We start with your problem and constraints — what success looks like, and what it will take to get there.

  2. 02

    Plan & Estimate

    A clear scope, milestones, and a realistic timeline, so you know what you're getting and when.

  3. 03

    Build & Deploy

    Iterative delivery with working software at each step — containerized and shipped, not left in a notebook.

  4. 04

    Support & Iterate

    Once it's live, we monitor, maintain, and improve it under real-world use.

Let's talk

Have a problem worth solving?

Tell us what you're building. We'll help you scope it, build it, and ship it.